51 - Topic : Artificial Intelligence & Neural Networks AuthorHESHAM AHMED FAHMY AMIN
Hesham Ahmed Fahmy, Sherif Fadel Fahmy, Alberto A. Del Barrio García & Guillermo Botella Juan, "An ensemble multi-stream classifier for infant needs detection", 2023. Hesham Ahmed Fahmy, Sherif Fadel Fahmy, Alberto A. Del Barrio García & Guillermo Botella Juan,vol.0, no.0, pp. - , 2023-03-27.
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52 - Topic : Artificial Intelligence & Neural Networks AuthorKarim Adel Abdelmoneam Ibrahim
Publication Abstract: 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 attenti, "Blockchain and Artificial Intelligence: Scientometric Analysis and Visualization", 2023. Publication Abstract: 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 attenti,vol.11, no.0, pp. 137911 - 137928, 2023-12-05.
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53 - Topic : Artificial Intelligence & Neural Networks AuthorKARMA MOHAMED GABER FATHALLAH
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.
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54 - Topic : Artificial Intelligence & Neural Networks AuthorKARMA MOHAMED GABER FATHALLAH
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., no., pp. - , 2023-11-23.
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55 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED SALAH AWAD ALLAH AHMED
Sentiment Analysis (SA) aims at determining the positive, negative, or neutral polarity in unstructured data, which is mostly social media data such as tweets, blogs, or online reviews. Various Machine Learning (ML) algorithms are used for social text pol, "Investigation of Local Interpretable Model-Agnostic Explanations (LIME) Framework with Multi-Dialect Arabic Text Sentiment Classification", 2023. Sentiment Analysis (SA) aims at determining the positive, negative, or neutral polarity in unstructured data, which is mostly social media data such as tweets, blogs, or online reviews. Various Machine Learning (ML) algorithms are used for social text pol,vol., no., pp. 116 - 121, 2023-08-10.
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Conference
56 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
In December 2019, the COVID-19 epidemic was
found in Wuhan, China, and soon hundreds of millions were
infected. Therefore, several efforts were made to identify
commercially available drugs to repurpose them against COVID-
19. Inferring potential drug ind, "Drug Repositioning for Coronavirus (COVID-19) using Different Deep Learning Architectures", 2023. In December 2019, the COVID-19 epidemic was
found in Wuhan, China, and soon hundreds of millions were
infected. Therefore, several efforts were made to identify
commercially available drugs to repurpose them against COVID-
19. Inferring potential drug ind,vol.14, no.3, pp. 640 - 649, 2023-03-01.
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57 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerability is a hole in , "An Intelligent Malware Classification Model Based On Image Transformation", 2023. Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerability is a hole in ,vol.14, no.7, pp. 828 - 837, 2023-07-01.
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58 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
In December 2019, the COVID-19 epidemic was
found in Wuhan, China, and soon hundreds of millions were
infected. Therefore, several efforts were made to identify
commercially available drugs to repurpose them against COVID-
19. Inferring potential drug ind, "Drug Repositioning for Coronavirus (COVID-19) using Different Deep Learning Architectures", 2023. In December 2019, the COVID-19 epidemic was
found in Wuhan, China, and soon hundreds of millions were
infected. Therefore, several efforts were made to identify
commercially available drugs to repurpose them against COVID-
19. Inferring potential drug ind,vol.14, no.3, pp. 640 - 649, 2023-03-01.
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59 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerability is a hole in , "An Intelligent Malware Classification Model Based On Image Transformation", 2023. Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerability is a hole in ,vol.14, no.7, pp. 828 - 837, 2023-07-01.
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Journal
60 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
In December 2019, the COVID-19 epidemic was
found in Wuhan, China, and soon hundreds of millions were
infected. Therefore, several efforts were made to identify
commercially available drugs to repurpose them against COVID-
19. Inferring potential drug ind, "Drug Repositioning for Coronavirus (COVID-19) using Different Deep Learning Architectures", 2023. In December 2019, the COVID-19 epidemic was
found in Wuhan, China, and soon hundreds of millions were
infected. Therefore, several efforts were made to identify
commercially available drugs to repurpose them against COVID-
19. Inferring potential drug ind,vol.14, no.3, pp. 640 - 649, 2023-03-01.
Read Abstract Read Research - Research type :
Journal
61 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerability is a hole in , "An Intelligent Malware Classification Model Based On Image Transformation", 2023. Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerability is a hole in ,vol.14, no.7, pp. 828 - 837, 2023-07-01.
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Journal
62 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
In December 2019, the COVID-19 epidemic was
found in Wuhan, China, and soon hundreds of millions were
infected. Therefore, several efforts were made to identify
commercially available drugs to repurpose them against COVID-
19. Inferring potential drug ind, "Drug Repositioning for Coronavirus (COVID-19) using Different Deep Learning Architectures", 2023. In December 2019, the COVID-19 epidemic was
found in Wuhan, China, and soon hundreds of millions were
infected. Therefore, several efforts were made to identify
commercially available drugs to repurpose them against COVID-
19. Inferring potential drug ind,vol.14, no.3, pp. 640 - 649, 2023-03-01.
Read Abstract Read Research - Research type :
Journal
63 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerability is a hole in , "An Intelligent Malware Classification Model Based On Image Transformation", 2023. Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerability is a hole in ,vol.14, no.7, pp. 828 - 837, 2023-07-01.
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Journal
64 - Topic : Artificial Intelligence & Neural Networks AuthorMOSTAFA SAAD ABDALLAH HAMAD
Accurately estimating the state-of-charge (SOC) of lithium-ion batteries (LIBs) in electric
vehicles is a challenging task due to the complex dynamics of the battery and the varying operating
conditions. To address this, this paper proposes the establishm, "A Data-Driven Digital Twin of Electric Vehicle Li-Ion Battery State-of-Charge Estimation Enabled by Driving Behavior Application Programming Interfaces", 2023. Accurately estimating the state-of-charge (SOC) of lithium-ion batteries (LIBs) in electric
vehicles is a challenging task due to the complex dynamics of the battery and the varying operating
conditions. To address this, this paper proposes the establishm,vol.9, no.10, pp. 521 - 545, 2023-10-23.
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65 - Topic : Artificial Intelligence & Neural Networks AuthorNour Eldeen Hassan
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.
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66 - Topic : Artificial Intelligence & Neural Networks AuthorOMAR ADEL ELSAYED BASIONY
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.
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Journal
67 - Topic : Artificial Intelligence & Neural Networks AuthorOMAR OSAMA MOHAMED SHALASH
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.
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Conference
68 - Topic : Artificial Intelligence & Neural Networks AuthorOMAR OSAMA MOHAMED SHALASH
Accurately estimating the state-of-charge (SOC) of lithium-ion batteries (LIBs) in electric vehicles is a challenging task due to the complex dynamics of the battery and the varying operating conditions. To address this, this paper proposes the establishm, "A Data-Driven Digital Twin of Electric Vehicle Li-Ion Battery State-of-Charge Estimation Enabled by Driving Behavior Application Programming Interfaces", 2023. Accurately estimating the state-of-charge (SOC) of lithium-ion batteries (LIBs) in electric vehicles is a challenging task due to the complex dynamics of the battery and the varying operating conditions. To address this, this paper proposes the establishm,vol.9, no.10, pp. - , 2023-10-23.
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69 - Topic : Artificial Intelligence & Neural Networks AuthorPakinam Alaa AbdallahMohamed Abdallah
The internet of things and Artificial intelligence become the main engine of trade in the world in recent years, so the results obtained by recent authors have a paramount role in internet of things. The main objective of the paper is to study the role of, " “A review of An Intelligent Framework for Improving Emergency Patients’ Satisfaction Based on Internet of Things (IoT) “ ", 2023. The internet of things and Artificial intelligence become the main engine of trade in the world in recent years, so the results obtained by recent authors have a paramount role in internet of things. The main objective of the paper is to study the role of,vol.9, no.11, pp. 40 - 50, 2023-01-24.
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70 - Topic : Artificial Intelligence & Neural Networks AuthorRokaia Mahmoud Alsayed Altehewy
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 - 263, 2023-06-17.
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71 - Topic : Artificial Intelligence & Neural Networks AuthorRokaia Mahmoud Alsayed Altehewy
Rapid damage identification and classification in disastrous situations is crucial for efficiently directing aids and resources. With the development of deep learning techniques and the availability of imagery content on social media platforms, extensive , "CLASSIFICATION OF IMBALANCED NATURAL DISASTERS DATA USING GENERATIVE ADVERSARIAL NETWORKS FOR DATA AUGMENTATION", 2023. Rapid damage identification and classification in disastrous situations is crucial for efficiently directing aids and resources. With the development of deep learning techniques and the availability of imagery content on social media platforms, extensive ,vol., no., pp. - , 2023-10-01.
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Thesis
72 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Mohamed Ebrahim, Ahmed A. Hesham Sedky, Saleh Mesbah, "Accuracy Assessment of Machine Learning Algorithms Used to Predict Breast Cancer", 2023. Mohamed Ebrahim, Ahmed A. Hesham Sedky, Saleh Mesbah,vol.0, no.0, pp. - , 2023-02-02.
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73 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Stock value prediction and trading, a captivating and complex research domain, continues to draw heightened attention. Ensuring profitable returns in stock market investments demands precise and timely decision-making. The evolution of technology has int, "Stock Market Prediction Using Deep Reinforcement Learning", 2023. Stock value prediction and trading, a captivating and complex research domain, continues to draw heightened attention. Ensuring profitable returns in stock market investments demands precise and timely decision-making. The evolution of technology has int,vol.6, no.6, pp. 106 - 112, 2023-11-10.
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74 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Some teenagers actively participate in cyberbullying, which is a pattern of online harassment of others. Many teenagers are unaware of the risks posed by cyberbullying, which can include depression, self-harm, and suicide. Because of the serious harm it c, "Cyberbullying Detection and Severity Determination Model", 2023. Some teenagers actively participate in cyberbullying, which is a pattern of online harassment of others. Many teenagers are unaware of the risks posed by cyberbullying, which can include depression, self-harm, and suicide. Because of the serious harm it c,vol.11, no., pp. 97391 - 97399, 2023-09-07.
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75 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Credit card fraud is the unauthorized use of a credit card or related payment instrument to obtain goods, services, money, or other items of value. Credit card fraud is one of the most common types of financial fraud and can have serious consequences for , "Blockchain and Restricted Boltzmann Machine for Credit Card Fraud Detection", 2023. Credit card fraud is the unauthorized use of a credit card or related payment instrument to obtain goods, services, money, or other items of value. Credit card fraud is one of the most common types of financial fraud and can have serious consequences for ,vol., no., pp. - , 2023-12-16.
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Conference
76 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Appropriate dynamic pricing categorization of clothing plays a significant role in commercial applications,
particularly in the rapid development of daily fashion. In this paper, a new clothing price hybrid approach is introduced based on market demands, , "A New Hybrid Approach to Dynamic Pricing Categorization Using Deep Learning and Neutrosophic", 2023. Appropriate dynamic pricing categorization of clothing plays a significant role in commercial applications,
particularly in the rapid development of daily fashion. In this paper, a new clothing price hybrid approach is introduced based on market demands, ,vol., no., pp. - , 2023-12-16.
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Conference
77 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Early detection of brain tumors contributes effectively to the journey of the diagnosis. The segmentation of brain tumors helps clinicians in the detection and examination of brain tumors. Augmentation preprocessing leads to a highly accurate segmentation, "Enhanced Brain Tumor Detection and Segmentation Using Identity Generative Adversarial Network and Attention Residual U-Net", 2023. Early detection of brain tumors contributes effectively to the journey of the diagnosis. The segmentation of brain tumors helps clinicians in the detection and examination of brain tumors. Augmentation preprocessing leads to a highly accurate segmentation,vol., no., pp. - , 2023-12-16.
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Conference
78 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Multiple sclerosis (MS) is a disease which attacks the immune system. Early detection and diagnosis the MS helps the clinicians in the journey of the analysis and diagnosis. Segmentation means dividing the slice into different portions for simplifying the, "Hybrid Framework for Early Detection of Multiple Sclerosis through MRI Segmentation: A Multi-Layer Preprocessing and Modified Residual Attention U-Net Approach", 2023. Multiple sclerosis (MS) is a disease which attacks the immune system. Early detection and diagnosis the MS helps the clinicians in the journey of the analysis and diagnosis. Segmentation means dividing the slice into different portions for simplifying the,vol., no., pp. - , 2023-12-16.
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Conference
79 - Topic : Artificial Intelligence & Neural Networks AuthorSHERIF FADEL FAHMY BISHARA FAHMY
Hesham Ahmed Fahmy, Sherif Fadel Fahmy, Alberto A Del Barrio García, Guillermo Botella Juan, "An ensemble multi-stream classifier for infant needs detection", 2023. Hesham Ahmed Fahmy, Sherif Fadel Fahmy, Alberto A Del Barrio García, Guillermo Botella Juan,vol.0, no.0, pp. - , 2023-04-01.
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80 - Topic : Artificial Intelligence & Neural Networks AuthorSHERIF FADEL FAHMY BISHARA FAHMY
Asmaa Yehia, Sherif Fahmy, Ahmed Fahmy, "Generative Adversarial Networks as weight generators in ensemble classification", 2023. Asmaa Yehia, Sherif Fahmy, Ahmed Fahmy,vol.0, no.0, pp. - , 2023-04-06.
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Conference
81 - Topic : Artificial Intelligence & Neural Networks AuthorSherin Mohamed Elsaid Morsy
Artificial intelligence (AI) has become an important tool for companies trying to gain a competitive edge in the online market. Business to Consumer (B2C) e-commerce firms are increasingly integrating chatbots as virtual shopping assistants for providing , "Artificial Intelligence in Electronic Commerce: Investigating the Customers' Acceptance of Using Chatbots", 2023. Artificial intelligence (AI) has become an important tool for companies trying to gain a competitive edge in the online market. Business to Consumer (B2C) e-commerce firms are increasingly integrating chatbots as virtual shopping assistants for providing ,vol.13, no.3, pp. 156 - 176, 2023-09-01.
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82 - Topic : Artificial Intelligence & Neural Networks AuthorSherin Mohamed Elsaid Morsy
The utilization of augmented reality (AR) technology is on a steady rise and is being used in a wide range of mobile applications in different sectors, such as education, gaming, and electronic commerce. AR mobile applications overlay digital information , "Evaluating the User Experience of Augmented Reality in the Mobile Commerce Environment, Scientific Journal of Commercial Research", 2023. The utilization of augmented reality (AR) technology is on a steady rise and is being used in a wide range of mobile applications in different sectors, such as education, gaming, and electronic commerce. AR mobile applications overlay digital information ,vol.50, no.4, pp. 117 - 136, 2023-10-01.
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83 - Topic : Artificial Intelligence & Neural Networks AuthorSherine Nagy Moustafa Saleh
Sherine Nagy Saleh, 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, Cherine Fathy,vol.0, no.0, pp. - , 2023-01-08.
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84 - Topic : Artificial Intelligence & Neural Networks AuthorSherine Nagy Moustafa Saleh
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. 1 - 18, 2023-06-17.
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85 - Topic : Computer Architecture & Parallel Processing AuthorMARWA ABDELRAZEK MOUSTAFA ALMENYAWY
Radwa M. Tawfeek, "Optimization of Quantum Cost for Low Energy Reversible Signed/Unsigned Multiplier Using Urdhva-Tiryakbhyam Sutra", 2023. Radwa M. Tawfeek,vol.0, no.0, pp. - , 2023-02-09.
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86 - Topic : Robotics & CNC AuthorOMAR OSAMA MOHAMED SHALASH
Omar Shalash
Philip Rowe, "Computer-assisted robotic system for autonomous unicompartmental knee arthroplasty", 2023. Omar Shalash
Philip Rowe,vol.0, no.0, pp. - , 2023-03-01.
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87 - Topic : others AuthorAmira Roshedy Mohamed Khattab
Ginger and turmeric and the less explored galangals, are economically important spices belonging to the Zingiberaceae family, widely used in traditional medicines and nutraceuticals. The present study provides the first comparative MS based metabolomics i, "A comparative MS-based metabolomics study and in-vitro antidiabetic assay of galangals, turmeric and ginger aided by molecular networking and chemometrics", 2023. Ginger and turmeric and the less explored galangals, are economically important spices belonging to the Zingiberaceae family, widely used in traditional medicines and nutraceuticals. The present study provides the first comparative MS based metabolomics i,vol.205, no.0, pp. 117438 - 0, 2023-09-07.
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88 - Topic : others AuthorMarium Muhamed Hassan Moustafa Shamaa
Mostafa, Mona M., Maha M. Amin, Mohamed Y. Zakaria, Mohammed Abdalla Hussein, Marium M. Shamaa, and Shady M. Abd El-Halim, "Chitosan Surface-Modified PLGA Nanoparticles Loaded with Cranberry Powder Extract as a Potential Oral Delivery Platform for Targeting Colon Cancer Cells", 2023. Mostafa, Mona M., Maha M. Amin, Mohamed Y. Zakaria, Mohammed Abdalla Hussein, Marium M. Shamaa, and Shady M. Abd El-Halim,vol.0, no.0, pp. - , 2023-02-10.
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89 - Topic : others AuthorMarium Muhamed Hassan Moustafa Shamaa
Disubstituted five‐membered heterocycles (1,2,4‐triazole and 1,3,4 oxadiazole) were
synthesized and investigated as inhibitors for signal transducer and activator of
transcription 3 (STAT3) enzyme of breast cancer. 3‐(Benzylthio)‐5‐(4‐chlorobenzyl)‐
4H‐1,, "Synthesis of 1,2,4‐triazole and 1,3,4‐oxadiazole derivatives as inhibitors for STAT3 enzymes of breast cancer", 2023. Disubstituted five‐membered heterocycles (1,2,4‐triazole and 1,3,4 oxadiazole) were
synthesized and investigated as inhibitors for signal transducer and activator of
transcription 3 (STAT3) enzyme of breast cancer. 3‐(Benzylthio)‐5‐(4‐chlorobenzyl)‐
4H‐1,,vol.1, no.0, pp. 1 - 12, 2023-09-03.
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Journal
90 - Topic : others AuthorMarium Muhamed Hassan Moustafa Shamaa
Hepatocellular carcinoma (HCC) is a worldwide health issue. Epigenetic alterations play
a crucial role in HCC tumorigenesis. Using epigenetic modulators for HCC treatment confers a
promising therapeutic effect. The aim of this study was to explore the eff, "The Synergistic Antitumor Effect of Decitabine and Vorinostat Combination on HepG2 Human Hepatocellular Carcinoma Cell Line via Epigenetic Modulation of Autophagy–Apoptosis Molecular Crosstalk", 2023. Hepatocellular carcinoma (HCC) is a worldwide health issue. Epigenetic alterations play
a crucial role in HCC tumorigenesis. Using epigenetic modulators for HCC treatment confers a
promising therapeutic effect. The aim of this study was to explore the eff,vol.7, no.45, pp. 5935 - 5949, 2023-07-16.
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Journal
91 - Topic : others Authormohamed hemdan mohamed
Mariam Zewail , Passent M. E. Gaafar , Nancy Abdel Hamid Abou Youssef , Merhan E. Ali , Mai F. Ragab , Miranda F. Kamal , Mohamed H. Noureldin and Haidy Abbas
, "Novel Siprulina platensis Bilosomes for Combating UVB Induced Skin Damage", 2023. Mariam Zewail , Passent M. E. Gaafar , Nancy Abdel Hamid Abou Youssef , Merhan E. Ali , Mai F. Ragab , Miranda F. Kamal , Mohamed H. Noureldin and Haidy Abbas
,vol.0, no.0, pp. - , 2023-01-01.
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92 - Topic : others Authormohamed hemdan mohamed
Manal A Elsheikh , Passent M.E. Gaafar , Mohamed A. Khattab , Mohamed Kamal A. Helwah , Mohamed H. Noureldin , Haidy Abbas, "Dual-effects of caffeinated hyalurosomes as a nano-cosmeceutical gel counteracting UV-induced skin ageing", 2023. Manal A Elsheikh , Passent M.E. Gaafar , Mohamed A. Khattab , Mohamed Kamal A. Helwah , Mohamed H. Noureldin , Haidy Abbas,vol.0, no.0, pp. - , 2023-02-10.
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93 - Topic : others Authormohamed hemdan mohamed
Waleed A. Badawi , Mohamed Samir , Hazem M. Fathy , Tarek M. Okda ,
Mohamed H. Noureldin , Gamal M.K. Atwa , Omaima M. AboulWafa, "Design, synthesis and molecular docking study of new pyrimidine-based hydrazones with Selective anti-proliferative activity against MCF-7 and MDA-MB-231 human breast cancer cell lines", 2023. Waleed A. Badawi , Mohamed Samir , Hazem M. Fathy , Tarek M. Okda ,
Mohamed H. Noureldin , Gamal M.K. Atwa , Omaima M. AboulWafa,vol.0, no.0, pp. - , 2023-05-16.
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Journal
94 - Topic : others AuthorMohammed Mortada Ibrahim
An electrolysis cell for hydrogen gas production was constructed in the form of a fixed bed. The electrodes were made from
316L stainless steel in the form of cylinders 15 mm in height and diameter (aspect ratio = 1). The electrodes were immersed in
an aq, "Green Hydrogen Gas Production Using an Adapted Electrolysis Method", 2023. An electrolysis cell for hydrogen gas production was constructed in the form of a fixed bed. The electrodes were made from
316L stainless steel in the form of cylinders 15 mm in height and diameter (aspect ratio = 1). The electrodes were immersed in
an aq,vol.66, no.13, pp. 241 - 253, 2023-06-03.
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Journal
95 - Topic : others AuthorMohammed Mortada Ibrahim
In recent years, the global population and standard of life have expanded resulting in a progressive growth in energy consumption. Moreover, as global warming and pollution intensified the importance of developing renewable energy sources grew. Hydrogen i, "A New Concept Of Flow Electrolysis Cell by Fixed Bed Electrodes", 2023. In recent years, the global population and standard of life have expanded resulting in a progressive growth in energy consumption. Moreover, as global warming and pollution intensified the importance of developing renewable energy sources grew. Hydrogen i,vol.0, no.0, pp. - , 2023-11-15.
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Thesis
96 - Topic : others AuthorMoustafa Hussien Aly
The recycling process is controversial on a worldwide scale since it is based on the concept of sustainability and
minimizing the environmental footprint. From this perspective, a practical framework for managing the 2D
nesting waste is presented in thi, "Enhancing circular economy via detecting and recycling 2D nested sheet waste using Bayesian optimization technique based-smart digital twin", 2023. The recycling process is controversial on a worldwide scale since it is based on the concept of sustainability and
minimizing the environmental footprint. From this perspective, a practical framework for managing the 2D
nesting waste is presented in thi,vol.20, no.101544, pp. 1 - 12, 2023-10-26.
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97 - Topic : others AuthorMoustafa Hussien Aly
The recycling process is controversial on a worldwide scale since it is based on the concept of sustainability and
minimizing the environmental footprint. From this perspective, a practical framework for managing the 2D
nesting waste is presented in thi, "Enhancing circular economy via detecting and recycling 2D nested sheet waste using Bayesian optimization technique based-smart digital twin", 2023. The recycling process is controversial on a worldwide scale since it is based on the concept of sustainability and
minimizing the environmental footprint. From this perspective, a practical framework for managing the 2D
nesting waste is presented in thi,vol.20, no.101544, pp. 1 - 12, 2023-10-26.
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Journal
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100 - Topic : others AuthorOsama Mahmoud Morsy Ali
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and Yasser M. Awad, "Potential health risk assessment for heavy metals in Tilapia fish of different spatiotemporal monitoring patterns in Kafr El-Shaikh and El-Faiyum Governorates of Egypt", 2023. Mohamed Bedair M. Ahmed, Gomaa N. Abdel-Rahman, Mohamed E. M. Ali,
Essam M. Saleh, Osama M. Morsy, Mohamed R. Elgohary, Magdy M. Saad,
and Yasser M. Awad,vol.0, no.0, pp. - , 2023-04-06.
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