1 - Topic : E-Business and E-Learning AuthorAHMED AHMED HESHAM SEDKY
Ahmed Ahmed Hesham Sedky , Saleh Mesbah , Mohamed Ebrahim, "Accuracy Assessment of Machine Learning Algorithms Used to Predict Breast Cancer", 2023. Ahmed Ahmed Hesham Sedky , Saleh Mesbah , Mohamed Ebrahim,vol.0, no.0, pp. - , 2023-02-02.
Read Abstract Read Research - Research type :
Conference
2 - Topic : E-Business and E-Learning AuthorAMR ADEL ABDELREHIM ELSAYED
Self-Regulated Learning (SRL) is a crucial feature that Higher education (HE) students should
possess to accomplish successful learning, especially in the COVID-19 era. Given the SRL importance,
several methods exist for its measurement and promotion. Up , "Contributions to the Measurement and Promotion of Higher Education Students’ Self-Regulated Learning using Social Media", 2023. Self-Regulated Learning (SRL) is a crucial feature that Higher education (HE) students should
possess to accomplish successful learning, especially in the COVID-19 era. Given the SRL importance,
several methods exist for its measurement and promotion. Up ,vol.0, no.0, pp. - , 2023-04-03.
Read Abstract Read Research - Research type :
Thesis
3 - Topic : E-Business and E-Learning AuthorSherin Mohamed Elsaid Morsy
The rapid changes in the behavior of Egyptian online consumers, influenced by the
increasing adoption of e-commerce since the COVID-19 pandemic, especially
shopping for apparel online, have made it essential for online fashion retailers to
identify criter, "The Identification and Prioritization of Success Factors for Online Egyptian Fashion Retailers Using the Analytic Hierarchy Process, International Journal of Electronic Commerce Studies,", 2023. The rapid changes in the behavior of Egyptian online consumers, influenced by the
increasing adoption of e-commerce since the COVID-19 pandemic, especially
shopping for apparel online, have made it essential for online fashion retailers to
identify criter,vol.14, no.2, pp. 57 - 82, 2023-11-11.
Read Abstract Read Research - Research type :
Journal
4 - Topic : Modeling & Simulation Authormohammed hassan abdelazim
Abstract—Free space optical (FSO) uplink from a service
provider to a Low Earth Orbit (LEO) satellite has emerged
as a promising solution to transfer large amount of data to
the satellite to be relayed to huge number of users over wide
geographical areas., "Detecting and Preventing for Performance Assessment of IoT Devices Under Solicitation Attacks", 2023. Abstract—Free space optical (FSO) uplink from a service
provider to a Low Earth Orbit (LEO) satellite has emerged
as a promising solution to transfer large amount of data to
the satellite to be relayed to huge number of users over wide
geographical areas.,vol., no., pp. - , 2023-07-06.
Read Abstract Read Research - Research type :
Conference
5 - Topic : Modeling & Simulation Authormohammed hassan abdelazim
Abstract—Free space optical (FSO) uplink from a service
provider to a Low Earth Orbit (LEO) satellite has emerged
as a promising solution to transfer large amount of data to
the satellite to be relayed to huge number of users over wide
geographical areas., "A Novel Technique for Segmenting Data for Traininig an Ensemble Regressor", 2023. Abstract—Free space optical (FSO) uplink from a service
provider to a Low Earth Orbit (LEO) satellite has emerged
as a promising solution to transfer large amount of data to
the satellite to be relayed to huge number of users over wide
geographical areas.,vol., no., pp. - , 2023-10-19.
Read Abstract Read Research - Research type :
Conference
6 - Topic : Modeling & Simulation AuthorSaleh Mosbah mohamed Elkafas
Digital Terrain Modeling (DTM) is widely used in various applications such as terrain analysis, hydrological modeling, and urban planning. However, the accuracy of DTM heavily relies on the quality of input data and the algorithms used to process the data, "Error Assessment and Propagation in Digital Terrain Modeling: A Review", 2023. Digital Terrain Modeling (DTM) is widely used in various applications such as terrain analysis, hydrological modeling, and urban planning. However, the accuracy of DTM heavily relies on the quality of input data and the algorithms used to process the data,vol.0, no.0, pp. 611 - 617, 2023-12-03.
Read Abstract - Research type :
Journal
7 - Topic : Software Engineering AuthorWalid moahmed Rabae Abdel Moaz
Errors in software systems are inevitable. However, fixing bugs requires cost and time. If they are detected early, this problem is solved with Artificial Intelligence in Software Engineering (AISE). Therefore, software error prediction is used to discove, "Within-Project Defect Prediction Using Improved CNN Model via Extracting the Source Code Features", 2023. Errors in software systems are inevitable. However, fixing bugs requires cost and time. If they are detected early, this problem is solved with Artificial Intelligence in Software Engineering (AISE). Therefore, software error prediction is used to discove,vol.0, no.0, pp. - , 2023-01-04.
Read Abstract - Research type :
Conference
8 - Topic : Software Engineering AuthorWalid moahmed Rabae Abdel Moaz
A code smell is an overt sign that typically points to a more serious issue with the system. The source code has a quality issue, as indicated by the code smell. A software system that has too many smells is challenging to create and maintain. It has take, "An Intelligent Framework based on CNN and Neutrosophic Technique for Detecting Code Smells and Ranking Code", 2023. A code smell is an overt sign that typically points to a more serious issue with the system. The source code has a quality issue, as indicated by the code smell. A software system that has too many smells is challenging to create and maintain. It has take,vol., no., pp. - , 2023-08-10.
Read Abstract Read Research - Research type :
Conference
9 - Topic : Software Engineering AuthorWalid moahmed Rabae Abdel Moaz
Gamification, which is the use of game elements in a non-game context, has become a trend in many industries. It is used as a means for motivating and engaging users and influencing their behaviors. Thus, during the last few years, many researchers have a, "A framework for developing user-based adaptive gamified systems", 2023. Gamification, which is the use of game elements in a non-game context, has become a trend in many industries. It is used as a means for motivating and engaging users and influencing their behaviors. Thus, during the last few years, many researchers have a,vol.3, no.2, pp. 24 - 63, 2023-11-21.
Read Abstract Read Research - Research type :
Journal
10 - Topic : Software Engineering AuthorWalid moahmed Rabae Abdel Moaz
Software engineering is a comprehensive process that requires developers and team members to collaborate across multiple tasks. In software testing, bug triaging is a tedious and time-consuming process. Assigning bugs to the appropriate developers can sav, "Improving bug assignment and developer allocation in software engineering through interpretable machine learning models", 2023. Software engineering is a comprehensive process that requires developers and team members to collaborate across multiple tasks. In software testing, bug triaging is a tedious and time-consuming process. Assigning bugs to the appropriate developers can sav,vol.12, no.7, pp. - , 2023-06-23.
Read Abstract Read Research - Research type :
Journal
11 - Topic : Software Engineering AuthorWalid moahmed Rabae Abdel Moaz
Developing and using Maturity Models (MMs) is an important topic for researchers and practitioners due to the importance of achieving enterprise goals in a measurable manner. In developing countries like Middle East and North Africa Region (MENA) region a, "PROPOSING AN ENTERPRISE GOVERNANCE OF INFORMATION TECHNOLOGY (EGIT) STAGE-BASED MATURITY MODEL (MM) DEVELOPMENT METHODOLOGY FOR ARAB COUNTRIES", 2023. Developing and using Maturity Models (MMs) is an important topic for researchers and practitioners due to the importance of achieving enterprise goals in a measurable manner. In developing countries like Middle East and North Africa Region (MENA) region a,vol.5, no.2, pp. - , 2023-09-20.
Read Abstract Read Research - Research type :
Journal
12 - Topic : Computer & Information Security AuthorAMMAR MOSTAFA HASSAN ALI AMMAR
The Global Navigation Satellite System (GNSS) is unreliable in some situations. To mend the poor GNSS signal, an autonomous vehicle can self-localize by matching a ground image against a database of geotagged aerial images. However, this approach has chal, "Leveraging cross-view geo-localization with ensemble learning and temporal awareness", 2023. The Global Navigation Satellite System (GNSS) is unreliable in some situations. To mend the poor GNSS signal, an autonomous vehicle can self-localize by matching a ground image against a database of geotagged aerial images. However, this approach has chal,vol.0, no.0, pp. - , 2023-03-30.
Read Abstract Read Research - Research type :
Journal
13 - Topic : Computer & Information Security AuthorMARWA ABDELRAZEK MOUSTAFA ALMENYAWY
Image encryption is a crucial aspect that helps to maintain the images' confidentiality and security in diverse applications. Ongoing research is focused on improving the efficiency and effectiveness of encryption. Image encryption has many practical appl, "Hybrid Image Encryption using Non-Adjacent Bits Dynamic Encoding DNA with RSA and Chaotic Systems", 2023. Image encryption is a crucial aspect that helps to maintain the images' confidentiality and security in diverse applications. Ongoing research is focused on improving the efficiency and effectiveness of encryption. Image encryption has many practical appl,vol.14, no.9, pp. 607 - 620, 2023-09-23.
Read Abstract Read Research - Research type :
Journal
14 - Topic : Computer & Information Security AuthorRiham Abdelmigid Salim
Encrypted traffic is an essential part of maintaining the security and privacy of data transmission. It plays an important role in keeping our networks secure by preventing attackers from intercepting confidential information, which they may access withou, "Deep Packet Inspection of Encrypted Traffic ", 2023. Encrypted traffic is an essential part of maintaining the security and privacy of data transmission. It plays an important role in keeping our networks secure by preventing attackers from intercepting confidential information, which they may access withou,vol., no., pp. - , 2023-11-21.
Read Abstract Read Research - Research type :
Thesis
15 - Topic : Computer & Information Security AuthorSaleh Mosbah mohamed Elkafas
Cloud computing has transformed the digital landscape, offering scalable services to individuals and businesses. However, ensuring continuous cloud service availability requires robust disaster management. This research paper investigates the prevailing c, "Embracing Open Innovation: A Cost-Efficient Cloud Computing Disaster Recovery Model", 2023. Cloud computing has transformed the digital landscape, offering scalable services to individuals and businesses. However, ensuring continuous cloud service availability requires robust disaster management. This research paper investigates the prevailing c,vol., no., pp. - , 2023-12-16.
Read Abstract Read Research - Research type :
Conference
16 - Topic : Computer & Information Security AuthorSaleh Mosbah mohamed Elkafas
The identification of selfish mining (SM) activity is critical in blockchain mining. In exchange for successfully mining blocks, volunteers known as miners maintain the network (N/W). Assigning transactions to a block requires verifying each one, then add, "New Approach for Detecting Selfish-Mining Attacks in Blockchain Networks", 2023. The identification of selfish mining (SM) activity is critical in blockchain mining. In exchange for successfully mining blocks, volunteers known as miners maintain the network (N/W). Assigning transactions to a block requires verifying each one, then add,vol.16, no., pp. 72 - 84, 2023-10-31.
Read Abstract - Research type :
Journal
17 - Topic : Computer & Information Security AuthorSHERIF FADEL FAHMY BISHARA FAHMY
The Internet of Things (IoT) is an important area of research as the ever-increasing number of connected devices permeate every aspect of our daily lives. The main characteristic of IoT devices is that they tend to be low resource devices, that are incapa, "Detecting and Preventing for Performance Assessment of IoT Devices Under Dodag Information Solicitation (dis) Attacks", 2023. The Internet of Things (IoT) is an important area of research as the ever-increasing number of connected devices permeate every aspect of our daily lives. The main characteristic of IoT devices is that they tend to be low resource devices, that are incapa,vol.1, no., pp. 110 - 120, 2023-06-30.
Read Abstract Read Research - Research type :
Conference
18 - Topic : Image Processing & Pattern Recognition AuthorAhmed Fathy AlKabbany
Wavelet pooling (WP) in neural network architectures has recently demonstrated more discriminative power than traditional pooling methods. This is mainly because the latter suffer from spatial information loss while wavelet pooling harnesses the power of , "Evaluating the Potential of Wavelet Pooling on Improving the Data Efficiency of Light-Weight CNNs", 2023. Wavelet pooling (WP) in neural network architectures has recently demonstrated more discriminative power than traditional pooling methods. This is mainly because the latter suffer from spatial information loss while wavelet pooling harnesses the power of ,vol.11, no.1, pp. 51199 - 51213, 2023-06-02.
Read Abstract - Research type :
Journal
19 - Topic : Image Processing & Pattern Recognition AuthorDina Ahmed Mostafa Ragab
Omneya Attallah, Dina A. Ragab, "Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs", 2023. Omneya Attallah, Dina A. Ragab,vol.0, no.0, pp. - , 2023-02-01.
Read Abstract - Research type :
Journal
20 - Topic : Image Processing & Pattern Recognition AuthorDina Ahmed Mostafa Ragab
Ahmed H. Salama, Dina A. Ragab, Nancy M. Abdelmoneim, "Urban spaces as a positive catalyst during pandemics: Assessing the community's well-being by using artificial intelligence techniques", 2023. Ahmed H. Salama, Dina A. Ragab, Nancy M. Abdelmoneim,vol.0, no.0, pp. - , 2023-05-01.
Read Abstract - Research type :
Journal
21 - Topic : Image Processing & Pattern Recognition AuthorFahima Abdeltawab Maghrabi
As global crime has escalated, surveillance cameras have become widespread and will continue to proliferate. Due to the large amount of video, there must be systems that automatically look for suspicious activity and send out an online alert if they find , "A 4D Convolutional Neural Networks for Video Violence Detection", 2023. As global crime has escalated, surveillance cameras have become widespread and will continue to proliferate. Due to the large amount of video, there must be systems that automatically look for suspicious activity and send out an online alert if they find ,vol., no., pp. - , 2023-11-22.
Read Abstract Read Research - Research type :
Journal
22 - Topic : Image Processing & Pattern Recognition AuthorMOHAMED RAMZY IBRAHIM MAHMOUD
Deep learning has made significant advances in recent years, and as a result, it is now in a stage where it can achieve outstanding results in tasks requiring visual understanding of scenes. However, its performance tends to decline when dealing with low-, "Unveiling the Influence of Image Super-Resolution on Aerial Scene Classification", 2023. Deep learning has made significant advances in recent years, and as a result, it is now in a stage where it can achieve outstanding results in tasks requiring visual understanding of scenes. However, its performance tends to decline when dealing with low-,vol.14469, no.0, pp. 214 - 228, 2023-11-27.
Read Abstract Read Research - Research type :
Book chapter
23 - Topic : Image Processing & Pattern Recognition AuthorMOHAMED RAMZY IBRAHIM MAHMOUD
Deep learning has made significant advances in recent years, and as a result, it is now in a stage where it can achieve outstanding results in tasks requiring visual understanding of scenes. However, its performance tends to decline when dealing with low-, "Unveiling the Influence of Image Super-Resolution on Aerial Scene Classification", 2023. Deep learning has made significant advances in recent years, and as a result, it is now in a stage where it can achieve outstanding results in tasks requiring visual understanding of scenes. However, its performance tends to decline when dealing with low-,vol.14469, no.0, pp. 214 - 228, 2023-11-27.
Read Abstract Read Research - Research type :
Conference
24 - Topic : Image Processing & Pattern Recognition AuthorNashwa Mamdouh Mohamed Elbendary
Strawberry (Fragaria X ananassa) is one of the most popular fruits cultivated around the world. That is owing to its unique flavor and nutritious properties in addition to the wide usage utility in fresh or processed condition. Strawberry fruits also have, "Strawberry-DS: Dataset of annotated strawberry fruits images with various developmental stages", 2023. Strawberry (Fragaria X ananassa) is one of the most popular fruits cultivated around the world. That is owing to its unique flavor and nutritious properties in addition to the wide usage utility in fresh or processed condition. Strawberry fruits also have,vol.48, no.0, pp. 109165 - 109165, 2023-04-20.
Read Abstract - Research type :
Journal
25 - Topic : Image Processing & Pattern Recognition AuthorNoha Medhat Ahmed Ghatwary
Myositis is a rare muscle disorder resulting from the immune system’s attack on the muscle cells, leading to muscle weaknesses. A precise and early diagnosis of the illness is crucial for effective treatment. Differentiating among various types of Myositi, "Myositis Detection From Muscle Ultrasound Images Using a Proposed YOLO-CSE Model", 2023. Myositis is a rare muscle disorder resulting from the immune system’s attack on the muscle cells, leading to muscle weaknesses. A precise and early diagnosis of the illness is crucial for effective treatment. Differentiating among various types of Myositi,vol.11, no.0, pp. 107533 - 107547, 2023-10-05.
Read Abstract Read Research - Research type :
Journal
26 - Topic : Image Processing & Pattern Recognition AuthorNoha Medhat Ahmed Ghatwary
Myositis is a rare muscle disorder resulting from the immune system’s attack on the muscle cells, leading to muscle weaknesses. A precise and early diagnosis of the illness is crucial for effective treatment. Differentiating among various types of Myositi, "Myositis Detection From Muscle Ultrasound Images Using a Proposed YOLO-CSE Model", 2023. Myositis is a rare muscle disorder resulting from the immune system’s attack on the muscle cells, leading to muscle weaknesses. A precise and early diagnosis of the illness is crucial for effective treatment. Differentiating among various types of Myositi,vol.11, no.0, pp. 107533 - 107547, 2023-10-05.
Read Abstract Read Research - Research type :
Journal
27 - Topic : Computer Networks and Communications AuthorCherine Fathy Saleh Ahmed Saleh
Sherine Nagy Saleh and Cherine Fathy, "A Novel Deep-Learning Model for Remote Driver Monitoring in SDN-Based Internet of Autonomous Vehicles Using 5G Technologies", 2023. Sherine Nagy Saleh and Cherine Fathy,vol.0, no.0, pp. - , 2023-01-08.
Read Abstract Read Research - Research type :
Journal
28 - Topic : Computer Networks and Communications AuthorCherine Fathy Saleh Ahmed Saleh
Cherine Fathy and Hassan M. Ali, "A Secure IoT-Based Irrigation System for Precision Agriculture Using the Expeditious Cipher", 2023. Cherine Fathy and Hassan M. Ali,vol.0, no.0, pp. - , 2023-02-13.
Read Abstract Read Research - Research type :
Journal
29 - Topic : Computer Networks and Communications AuthorCherine Fathy Saleh Ahmed Saleh
Sherine Nagy Saleh and Cherine Fathy, "A Novel Deep-Learning Model for Remote Driver Monitoring in SDN-Based Internet of Autonomous Vehicles Using 5G Technologies", 2023. Sherine Nagy Saleh and Cherine Fathy,vol.0, no.0, pp. - , 2023-01-08.
Read Abstract Read Research - Research type :
Journal
30 - Topic : Computer Networks and Communications AuthorCherine Fathy Saleh Ahmed Saleh
Cherine Fathy and Hassan M. Ali, "A Secure IoT-Based Irrigation System for Precision Agriculture Using the Expeditious Cipher", 2023. Cherine Fathy and Hassan M. Ali,vol.0, no.0, pp. - , 2023-02-13.
Read Abstract Read Research - Research type :
Journal
31 - Topic : Computer Industrial Applications AuthorMOSTAFA SAAD ABDALLAH HAMAD
Digital twins are becoming a business imperative, covering the entire lifecycle of an asset, and forming the foundation for connected products and services. Companies that fail to respond will be left behind. Implementing a dynamic cloud model of a physic, "Digital Twin of Wind Turbine Based on Microsoft® Azure IoT Platform", 2023. Digital twins are becoming a business imperative, covering the entire lifecycle of an asset, and forming the foundation for connected products and services. Companies that fail to respond will be left behind. Implementing a dynamic cloud model of a physic,vol.0, no.0, pp. 1 - 8, 2023-02-20.
Read Abstract Read Research - Research type :
Conference
32 - Topic : Computer Industrial Applications AuthorMOSTAFA SAAD ABDALLAH HAMAD
Induction Motor (IM) restoration costs and downtime can be decreased by early Inter-turn short circuit fault (ISCF) detection. Due to the controller’s innate desire to generate an adjusted set of currents actually below fault conditions, fault detection o, "Optimized Inter-Turn Short Circuit Fault Diagnosis for Induction Motors using Neural Networks with LeLeRU", 2023. Induction Motor (IM) restoration costs and downtime can be decreased by early Inter-turn short circuit fault (ISCF) detection. Due to the controller’s innate desire to generate an adjusted set of currents actually below fault conditions, fault detection o,vol., no., pp. 1 - 5, 2023-02-19.
Read Abstract Read Research - Research type :
Conference
33 - Topic : Artificial Intelligence & Neural Networks AuthorAhmed Abdelkhalik Ahmed Abouelfarag
Rapid damage identification and classification in disastrous situations and natural disasters are crucial for efficiently directing aid and resources. With the development of deep learning techniques and the availability of imagery content on social media, "“Efficient Classification of Imbalanced Natural Disasters Data Using Generative Adversarial Networks for Data Augmentation”", 2023. Rapid damage identification and classification in disastrous situations and natural disasters are crucial for efficiently directing aid and resources. With the development of deep learning techniques and the availability of imagery content on social media,vol.12, no.6, pp. 245 - 0, 2023-06-17.
Read Abstract Read Research - Research type :
Journal
34 - Topic : Artificial Intelligence & Neural Networks AuthorAhmed Abdelkhalik Ahmed Abouelfarag
Emotion recognition is crucial in artificial intelligence, particularly in the domain of human–computer interaction. The ability to accurately discern and interpret emotions plays a critical role in helping machines to effectively decipher users’ underlyi, "MM-EMOR: Multi-Modal Emotion Recognition of Social Media Using Concatenated Deep Learning Networks", 2023. Emotion recognition is crucial in artificial intelligence, particularly in the domain of human–computer interaction. The ability to accurately discern and interpret emotions plays a critical role in helping machines to effectively decipher users’ underlyi,vol.7, no.4, pp. 1 - 21, 2023-10-13.
Read Abstract Read Research - Research type :
Journal
35 - Topic : Artificial Intelligence & Neural Networks AuthorAHMED ABDELMOTY MOHAMED ELANWAR ELHAKEEM
Integrating Artificial Intelligence (AI) with Blockchain Technology (BT) is deemed the fourth generation of BT applications (Blockchain 4.0). This generation has gained considerable attention from the research community. Such attention has led to a vast a, "Blockchain and Artificial Intelligence: Scientometric Analysis and Visualization", 2023. Integrating Artificial Intelligence (AI) with Blockchain Technology (BT) is deemed the fourth generation of BT applications (Blockchain 4.0). This generation has gained considerable attention from the research community. Such attention has led to a vast a,vol.11, no.0, pp. 137911 - 137928, 2023-12-05.
Read Abstract Read Research - Research type :
Journal
36 - Topic : Artificial Intelligence & Neural Networks AuthorAHMED AHMED HESHAM SEDKY
MOHAMED KHOLEIF , YOMNA ABD ELWAHAB, "An Experimental Survey of ASA on DL Classifiers Using Multi-Dialect Arabic Texts", 2023. MOHAMED KHOLEIF , YOMNA ABD ELWAHAB,vol.0, no.0, pp. - , 2023-03-02.
Read Abstract - Research type :
Conference
37 - Topic : Artificial Intelligence & Neural Networks AuthorAHMED AHMED HESHAM SEDKY
Khaled mahar , Ahmed ahmed hesham sedky , Eman sedki, "A Russia-Ukraine Conflict Tweets Sentiment Analysis Using Bidirectional LSTM Network", 2023. Khaled mahar , Ahmed ahmed hesham sedky , Eman sedki,vol.0, no.0, pp. - , 2023-02-15.
Read Abstract Read Research - Research type :
Journal
38 - Topic : Artificial Intelligence & Neural Networks AuthorAsmaa Yehia Abdelhamid
Ensemble classifiers are constructed from various component classifiers by aggregating the results of the individual classifiers in some manner. While there are many ways to do this, one of the least computationally intensive is to use a voting ensemble, , "Generative Adversarial Networks as Weight Generators in Ensemble Classification", 2023. Ensemble classifiers are constructed from various component classifiers by aggregating the results of the individual classifiers in some manner. While there are many ways to do this, one of the least computationally intensive is to use a voting ensemble, ,vol.0, no.0, pp. 1 - 5, 2023-05-09.
Read Abstract Read Research - Research type :
Conference
39 - Topic : Artificial Intelligence & Neural Networks AuthorAsmaa Yehia Abdelhamid
Ensemble classifiers are constructed from various component classifiers by aggregating the results of the individual classifiers in some manner. While there are many ways to do this, one of the least computationally intensive is to use a voting ensemble, , "Generative Adversarial Networks as Weight Generators in Ensemble Classification", 2023. Ensemble classifiers are constructed from various component classifiers by aggregating the results of the individual classifiers in some manner. While there are many ways to do this, one of the least computationally intensive is to use a voting ensemble, ,vol.0, no.0, pp. - , 2023-09-13.
Read Abstract Read Research - Research type :
Thesis
40 - Topic : Artificial Intelligence & Neural Networks AuthorAsmaa Yehia Abdelhamid
Ensemble classifiers are constructed from various component classifiers by aggregating the results of the individual classifiers in some manner. While there are many ways to do this, one of the least computationally intensive is to use a voting ensemble, , "Generative Adversarial Networks as Weight Generators in Ensemble Classification", 2023. Ensemble classifiers are constructed from various component classifiers by aggregating the results of the individual classifiers in some manner. While there are many ways to do this, one of the least computationally intensive is to use a voting ensemble, ,vol.0, no.0, pp. 1 - 5, 2023-05-09.
Read Abstract Read Research - Research type :
Conference
41 - Topic : Artificial Intelligence & Neural Networks AuthorAsmaa Yehia Abdelhamid
Ensemble classifiers are constructed from various component classifiers by aggregating the results of the individual classifiers in some manner. While there are many ways to do this, one of the least computationally intensive is to use a voting ensemble, , "Generative Adversarial Networks as Weight Generators in Ensemble Classification", 2023. Ensemble classifiers are constructed from various component classifiers by aggregating the results of the individual classifiers in some manner. While there are many ways to do this, one of the least computationally intensive is to use a voting ensemble, ,vol.0, no.0, pp. - , 2023-09-13.
Read Abstract Read Research - Research type :
Thesis
42 - Topic : Artificial Intelligence & Neural Networks AuthorBAHAA ELDEN ALI ABD ELGHANY
Federated Learning (FL) is a distributed machine learning paradigm in which a large number of clients coordinate with a central server to learn a model without sharing their own training data. One central server is not enough, due to problems of connectiv, "Scheduling and Communication Schemes for Decentralized Federated Learning", 2023. Federated Learning (FL) is a distributed machine learning paradigm in which a large number of clients coordinate with a central server to learn a model without sharing their own training data. One central server is not enough, due to problems of connectiv,vol., no., pp. 1 - 7, 2023-08-10.
Read Abstract Read Research - Research type :
Conference
43 - Topic : Artificial Intelligence & Neural Networks AuthorDina Mostafa Khalil Madkour
Algae represent the majority of the diversity on Earth and are a large group of organisms that have photosynthetic properties that are important to life. The species of algae are estimated to be more than 1 million, they play an important role in many fie, "A Systematic Review of Deep Learning Microalgae Classification and Detection", 2023. Algae represent the majority of the diversity on Earth and are a large group of organisms that have photosynthetic properties that are important to life. The species of algae are estimated to be more than 1 million, they play an important role in many fie,vol.11, no., pp. 57529 - 57555, 2023-05-26.
Read Abstract - Research type :
Journal
44 - Topic : Artificial Intelligence & Neural Networks AuthorDoaa Ahmed Mohamed Shoaeb
Cardiac image segmentation is a critical step in the early detection of cardiovascular disease. The segmentation of the biventricular is a prerequisite for evaluating cardiac function in cardiac magnetic resonance imaging (CMRI). In this paper, a cascaded, "CAT‑Seg: cascaded medical assistive tool integrating residual attention mechanisms and Squeeze‑Net for 3D MRI biventricular segmentation", 2023. Cardiac image segmentation is a critical step in the early detection of cardiovascular disease. The segmentation of the biventricular is a prerequisite for evaluating cardiac function in cardiac magnetic resonance imaging (CMRI). In this paper, a cascaded,vol.0, no.0, pp. 1 - 16, 2023-11-24.
Read Abstract Read Research - Research type :
Journal
45 - Topic : Artificial Intelligence & Neural Networks AuthorEhab Farouk Badran
In the era of advanced computer vision and natural language processing, the use of social media as a source of information has become even more valuable in directing aid and rescuing victims. Consequently, millions of texts and images can be processed in , "Categorizing Crises From Social Media Feeds via Multimodal Channel Attention", 2023. In the era of advanced computer vision and natural language processing, the use of social media as a source of information has become even more valuable in directing aid and rescuing victims. Consequently, millions of texts and images can be processed in ,vol.11, no., pp. 72037 - 72049, 2023-07-12.
Read Abstract Read Research - Research type :
Journal
46 - Topic : Artificial Intelligence & Neural Networks AuthorEman Mohamed Abd ElAziz
The detection of anomalous behavior in business process data is a crucial task for
preventing failures that may jeopardize the performance of any organization. Supervised
learning techniques are impracticable because of the difficulties of gathering
huge , "Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection", 2023. The detection of anomalous behavior in business process data is a crucial task for
preventing failures that may jeopardize the performance of any organization. Supervised
learning techniques are impracticable because of the difficulties of gathering
huge ,vol.10, no.33, pp. 1 - 35, 2023-03-12.
Read Abstract - Research type :
Journal
47 - Topic : Artificial Intelligence & Neural Networks AuthorEman Mohamed Abd ElAziz
Anomaly detection in the logs generated from the Process-Aware Information Systems is a critical task to prevent failures that can harm the performance of any organization. The majority of the anomaly detection approaches applied in the business process d, "A Novel Transformer-Based Approach for Detecting Anomalies in Event Logs of Process-Aware Information Systems", 2023. Anomaly detection in the logs generated from the Process-Aware Information Systems is a critical task to prevent failures that can harm the performance of any organization. The majority of the anomaly detection approaches applied in the business process d,vol., no., pp. - , 2023-12-16.
Read Abstract - Research type :
Conference
48 - Topic : Artificial Intelligence & Neural Networks AuthorFahima Abdeltawab Maghrabi
Colorectal cancer (CRC) is a malignant condition that affects the colon or rectum, and it is distinguished by abnormal cell growth in these areas. Colon polyps, which are abnormalities, can turn into cancer. To stop the spread of cancer, early polyp detec, "PolyDSS: computer-aided decision support system for multiclass polyp segmentation and classification using deep learning", 2023. Colorectal cancer (CRC) is a malignant condition that affects the colon or rectum, and it is distinguished by abnormal cell growth in these areas. Colon polyps, which are abnormalities, can turn into cancer. To stop the spread of cancer, early polyp detec,vol., no., pp. - , 2023-12-31.
Read Abstract Read Research - Research type :
Journal
49 - Topic : Artificial Intelligence & Neural Networks AuthorFahima Abdeltawab Maghrabi
Abstract: Background: Histone modification is a vital element in gene expression regulation. The way in which these proteins bind to the DNA impacts whether or not a gene may be expressed. Although those factors cannot influence DNA construction, they can, " DeepEpi: Deep Learning Model for Predicting Gene Expression Regulation Based on Epigenetic Histone Modifications", 2023. Abstract: Background: Histone modification is a vital element in gene expression regulation. The way in which these proteins bind to the DNA impacts whether or not a gene may be expressed. Although those factors cannot influence DNA construction, they can,vol., no., pp. - , 2023-06-30.
Read Abstract Read Research - Research type :
Journal
50 - Topic : Artificial Intelligence & Neural Networks AuthorGhada Walid Ahmed
A few years ago, E-Learning become a powerful term for Study, but during the COVID-19 pandemic, educational institutions were shut down all over the world, which impacted the students and caused a massive disruption of the education system. A lot of chall, "A systematic Review about Enhancing the Quality Of E-Learning Outcomes using Artificial Intelligence Techniques", 2023. A few years ago, E-Learning become a powerful term for Study, but during the COVID-19 pandemic, educational institutions were shut down all over the world, which impacted the students and caused a massive disruption of the education system. A lot of chall,vol.9, no.11, pp. 31 - 39, 2023-11-13.
Read Abstract Read Research - Research type :
Journal
