51 - Topic : Artificial Intelligence & Neural Networks AuthorEsraa Alaaeldin Hassan Khatab
In autonomous driving, object detection is considered a base step to many subsequent processes. However, object detection is challenged by loss in visibility caused by rain. Rainfall occurs in two main forms, which are streaks and streaks accumulations. E, "A Lightweight Network for Real-Time Rain Streaks and Rain Accumulation Removal from Single Images Captured by AVs", 2022. In autonomous driving, object detection is considered a base step to many subsequent processes. However, object detection is challenged by loss in visibility caused by rain. Rainfall occurs in two main forms, which are streaks and streaks accumulations. E,vol.13, no.1, pp. - , 2022-12-24.
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52 - Topic : Artificial Intelligence & Neural Networks AuthorHADEEL ABDELKAREEM ABDELMOATY SALEH
Nowadays, the ubiquitous usage of mobile devices and networks have raised concerns about the loss of control over personal data and research advance towards the trade-off between privacy and utility in scenarios that combine exchange communications, big d, "Using Decentralized Aggregation for Federated Learning with Differential Privacy", 2022. Nowadays, the ubiquitous usage of mobile devices and networks have raised concerns about the loss of control over personal data and research advance towards the trade-off between privacy and utility in scenarios that combine exchange communications, big d,vol., no., pp. 33 - 39, 2022-10-24.
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53 - Topic : Artificial Intelligence & Neural Networks AuthorHADEEL ABDELKAREEM ABDELMOATY SALEH
Nowadays, the ubiquitous usage of mobile devices and networks have raised concerns about the loss of control over personal data and research advance towards the trade-off between privacy and utility in scenarios that combine exchange communications, big d, "Using Decentralized Aggregation for Federated Learning with Differential Privacy", 2022. Nowadays, the ubiquitous usage of mobile devices and networks have raised concerns about the loss of control over personal data and research advance towards the trade-off between privacy and utility in scenarios that combine exchange communications, big d,vol., no., pp. 33 - 39, 2022-10-24.
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54 - Topic : Artificial Intelligence & Neural Networks AuthorHESHAM TAREK ABDELMONEM MOHAMED TAWFIK
Hesham Tarek, Hesham H. Aly, Saleh Eisa, Mohamed Abu-Elsoud, "Optimized Deep Learning Algorithms for Tomato Leaf Disease Detection with Hardware Deployment", 2022. Hesham Tarek, Hesham H. Aly, Saleh Eisa, Mohamed Abu-Elsoud,vol.0, no.0, pp. - , 2022-01-03.
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55 - Topic : Artificial Intelligence & Neural Networks AuthorHESHAM TAREK ABDELMONEM MOHAMED TAWFIK
Hesham Tarek, Hesham H. Aly, Saleh Eisa, Mohamed Abu-Elsoud, "Tomato Leaf Disease Detection and Prediction using Artificial Intelligence", 2022. Hesham Tarek, Hesham H. Aly, Saleh Eisa, Mohamed Abu-Elsoud,vol.0, no.0, pp. - , 2022-04-26.
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56 - Topic : Artificial Intelligence & Neural Networks AuthorHossam Elden Mohamed El Hawary
Traffic sign detection is one of the key components of the Advanced Driving Assistant System (ADAS), which aims to detect and classify street signs in real time. However, traffic sign detection has challenges in real applications requiring high precision , "Real-Time Attribute Based Deep Learning Network for Traffic Sign Detection", 2022. Traffic sign detection is one of the key components of the Advanced Driving Assistant System (ADAS), which aims to detect and classify street signs in real time. However, traffic sign detection has challenges in real applications requiring high precision ,vol., no., pp. 200 - 205, 2022-11-23.
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57 - Topic : Artificial Intelligence & Neural Networks AuthorISLAM ATEF MOUSSA MONIR
Islam A. Monir, Mohamed W. Fakhr, Nashwa El-Bendary, "Multimodal deep learning model for human handover classification", 2022. Islam A. Monir, Mohamed W. Fakhr, Nashwa El-Bendary,vol.0, no.0, pp. - , 2022-04-01.
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58 - Topic : Artificial Intelligence & Neural Networks AuthorISLAM ATEF MOUSSA MONIR
Islam A. Monir, "Deep Learning Multimodality in Human Handover Classification", 2022. Islam A. Monir,vol.0, no.0, pp. - , 2022-07-01.
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59 - Topic : Artificial Intelligence & Neural Networks AuthorKarim Adel Abdelmoneam Ibrahim
Kareem Adel, Ahmed Elhakeem, Mohamed Marzouk, "Decentralizing construction AI applications using blockchain technology", 2022. Kareem Adel, Ahmed Elhakeem, Mohamed Marzouk,vol.0, no.0, pp. - , 2022-05-15.
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60 - Topic : Artificial Intelligence & Neural Networks AuthorMahmoud Maher Almorshedy
Radwa Gaber Fathalla
Yasser El Sonbaty, "Feature Transformation Framework for Enhancing Compactness and Separability of Data Points in Feature Space for Small Datasets", 2022. Radwa Gaber Fathalla
Yasser El Sonbaty,vol.0, no.0, pp. - , 2022-02-07.
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61 - Topic : Artificial Intelligence & Neural Networks AuthorMARWA ABDELRAZEK MOUSTAFA ALMENYAWY
Merihan E Amr, Amr A Al-Awamry, Adly S Tag Eldien, "Design and Implementation of a Low-cost IoT Node for Data Processing, Case Study: Smart Agriculture", 2022. Merihan E Amr, Amr A Al-Awamry, Adly S Tag Eldien,vol.0, no.0, pp. - , 2022-02-20.
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62 - Topic : Artificial Intelligence & Neural Networks AuthorMazen Mohamed Nabeel Alagamy
Rowan Ihab Halawa, Sherin M Youssef, Mazen Nabil Elagamy, "An Efficient Hybrid Model for Patient-Independent Seizure Prediction Using Deep Learning", 2022. Rowan Ihab Halawa, Sherin M Youssef, Mazen Nabil Elagamy,vol.0, no.0, pp. - , 2022-05-29.
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63 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Federated Learning (FL) provides training of global shared model using decentralized data sources on edge nodes while preserving data privacy. However, it’s performance in the computer vision applications using Convolution neural network (CNN) considerabl, "A FEDERATED PURE VISION TRANSFORMER ALGORITHM FOR COMPUTER VISION USING DYNAMIC AGGREGATION MODEL", 2022. Federated Learning (FL) provides training of global shared model using decentralized data sources on edge nodes while preserving data privacy. However, it’s performance in the computer vision applications using Convolution neural network (CNN) considerabl,vol.20, no.10, pp. 7406 - 7414, 2022-08-01.
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64 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Thanks to high-throughput data technology, microRNA analysis studies have evolved in early disease detection. This work introduces two complete models to detect the biomarkers of two autoimmune diseases, multiple sclerosis and rheumatoid arthritis, via mi, "Machine Learning-Based Models For Detection Of Biomarkers Of Autoimmune Diseases By Fragmentation And Analysis Of Mirna Sequences", 2022. Thanks to high-throughput data technology, microRNA analysis studies have evolved in early disease detection. This work introduces two complete models to detect the biomarkers of two autoimmune diseases, multiple sclerosis and rheumatoid arthritis, via mi,vol., no., pp. - , 2022-05-31.
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65 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
The Internet of Medical Things was immensely implemented in healthcare systems during the covid 19 pandemic to enhance the patient's circumstances remotely in critical care units while keeping the medical staff safe from being infected. However, Healthcar, "Detecting Ransomware within Real Healthcare Medical Records Adopting Internet of Medical Things using Machine and Deep Learning Techniques", 2022. The Internet of Medical Things was immensely implemented in healthcare systems during the covid 19 pandemic to enhance the patient's circumstances remotely in critical care units while keeping the medical staff safe from being infected. However, Healthcar,vol.13, no.2, pp. 591 - 597, 2022-02-01.
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66 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blind, "Multiple Sclerosis Biomarkers Detection By A Bilstm Deep Learning Model For Mirna Data Analysis", 2022. High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blind,vol., no., pp. - , 2022-11-22.
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67 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Users share opinions and discussions on the internet through social media platforms. Nowadays, a significant number of internet users speak the Arabic language. They tend to express their opinions using different dialects. Therefore, understanding people', "Sentiment Analysis For Arabic Low Resource Data Using BERT-CNN", 2022. Users share opinions and discussions on the internet through social media platforms. Nowadays, a significant number of internet users speak the Arabic language. They tend to express their opinions using different dialects. Therefore, understanding people',vol., no., pp. 24 - 26, 2022-10-12.
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68 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
A blockchain is a data structure that is implemented as a distrusted database or digital ledger. The transactions are saved to a block of transactions that is attached in turn to the blockchain after the verification process, in which each block in the ch, "A Blockchain-Based Model For Securing Iot Transactions In A Healthcare Environment", 2022. A blockchain is a data structure that is implemented as a distrusted database or digital ledger. The transactions are saved to a block of transactions that is attached in turn to the blockchain after the verification process, in which each block in the ch,vol.13, no.9, pp. 67 - 75, 2022-09-01.
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69 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
E-commerce is growing rapidly around the world and this causes a significant increase in credit card transactions, both normal and fraud transactions. Financial institutions throughout the world lose billions because of credit card fraud. Fraudsters have , "A Comparative Analysis of Credit Card Fraud Detection Using Machine Learning and Deep Learning Techniques.", 2022. E-commerce is growing rapidly around the world and this causes a significant increase in credit card transactions, both normal and fraud transactions. Financial institutions throughout the world lose billions because of credit card fraud. Fraudsters have ,vol., no., pp. 267 - 282, 2022-07-01.
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70 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Federated Learning (FL) provides training of global shared model using decentralized data sources on edge nodes while preserving data privacy. However, it’s performance in the computer vision applications using Convolution neural network (CNN) considerabl, "A FEDERATED PURE VISION TRANSFORMER ALGORITHM FOR COMPUTER VISION USING DYNAMIC AGGREGATION MODEL", 2022. Federated Learning (FL) provides training of global shared model using decentralized data sources on edge nodes while preserving data privacy. However, it’s performance in the computer vision applications using Convolution neural network (CNN) considerabl,vol.20, no.10, pp. 7406 - 7414, 2022-08-01.
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71 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Thanks to high-throughput data technology, microRNA analysis studies have evolved in early disease detection. This work introduces two complete models to detect the biomarkers of two autoimmune diseases, multiple sclerosis and rheumatoid arthritis, via mi, "Machine Learning-Based Models For Detection Of Biomarkers Of Autoimmune Diseases By Fragmentation And Analysis Of Mirna Sequences", 2022. Thanks to high-throughput data technology, microRNA analysis studies have evolved in early disease detection. This work introduces two complete models to detect the biomarkers of two autoimmune diseases, multiple sclerosis and rheumatoid arthritis, via mi,vol., no., pp. - , 2022-05-31.
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72 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
The Internet of Medical Things was immensely implemented in healthcare systems during the covid 19 pandemic to enhance the patient's circumstances remotely in critical care units while keeping the medical staff safe from being infected. However, Healthcar, "Detecting Ransomware within Real Healthcare Medical Records Adopting Internet of Medical Things using Machine and Deep Learning Techniques", 2022. The Internet of Medical Things was immensely implemented in healthcare systems during the covid 19 pandemic to enhance the patient's circumstances remotely in critical care units while keeping the medical staff safe from being infected. However, Healthcar,vol.13, no.2, pp. 591 - 597, 2022-02-01.
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73 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blind, "Multiple Sclerosis Biomarkers Detection By A Bilstm Deep Learning Model For Mirna Data Analysis", 2022. High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blind,vol., no., pp. - , 2022-11-22.
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74 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Users share opinions and discussions on the internet through social media platforms. Nowadays, a significant number of internet users speak the Arabic language. They tend to express their opinions using different dialects. Therefore, understanding people', "Sentiment Analysis For Arabic Low Resource Data Using BERT-CNN", 2022. Users share opinions and discussions on the internet through social media platforms. Nowadays, a significant number of internet users speak the Arabic language. They tend to express their opinions using different dialects. Therefore, understanding people',vol., no., pp. 24 - 26, 2022-10-12.
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75 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
A blockchain is a data structure that is implemented as a distrusted database or digital ledger. The transactions are saved to a block of transactions that is attached in turn to the blockchain after the verification process, in which each block in the ch, "A Blockchain-Based Model For Securing Iot Transactions In A Healthcare Environment", 2022. A blockchain is a data structure that is implemented as a distrusted database or digital ledger. The transactions are saved to a block of transactions that is attached in turn to the blockchain after the verification process, in which each block in the ch,vol.13, no.9, pp. 67 - 75, 2022-09-01.
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76 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
E-commerce is growing rapidly around the world and this causes a significant increase in credit card transactions, both normal and fraud transactions. Financial institutions throughout the world lose billions because of credit card fraud. Fraudsters have , "A Comparative Analysis of Credit Card Fraud Detection Using Machine Learning and Deep Learning Techniques.", 2022. E-commerce is growing rapidly around the world and this causes a significant increase in credit card transactions, both normal and fraud transactions. Financial institutions throughout the world lose billions because of credit card fraud. Fraudsters have ,vol., no., pp. 267 - 282, 2022-07-01.
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77 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Federated Learning (FL) provides training of global shared model using decentralized data sources on edge nodes while preserving data privacy. However, it’s performance in the computer vision applications using Convolution neural network (CNN) considerabl, "A FEDERATED PURE VISION TRANSFORMER ALGORITHM FOR COMPUTER VISION USING DYNAMIC AGGREGATION MODEL", 2022. Federated Learning (FL) provides training of global shared model using decentralized data sources on edge nodes while preserving data privacy. However, it’s performance in the computer vision applications using Convolution neural network (CNN) considerabl,vol.20, no.10, pp. 7406 - 7414, 2022-08-01.
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78 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Thanks to high-throughput data technology, microRNA analysis studies have evolved in early disease detection. This work introduces two complete models to detect the biomarkers of two autoimmune diseases, multiple sclerosis and rheumatoid arthritis, via mi, "Machine Learning-Based Models For Detection Of Biomarkers Of Autoimmune Diseases By Fragmentation And Analysis Of Mirna Sequences", 2022. Thanks to high-throughput data technology, microRNA analysis studies have evolved in early disease detection. This work introduces two complete models to detect the biomarkers of two autoimmune diseases, multiple sclerosis and rheumatoid arthritis, via mi,vol., no., pp. - , 2022-05-31.
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79 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
The Internet of Medical Things was immensely implemented in healthcare systems during the covid 19 pandemic to enhance the patient's circumstances remotely in critical care units while keeping the medical staff safe from being infected. However, Healthcar, "Detecting Ransomware within Real Healthcare Medical Records Adopting Internet of Medical Things using Machine and Deep Learning Techniques", 2022. The Internet of Medical Things was immensely implemented in healthcare systems during the covid 19 pandemic to enhance the patient's circumstances remotely in critical care units while keeping the medical staff safe from being infected. However, Healthcar,vol.13, no.2, pp. 591 - 597, 2022-02-01.
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80 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blind, "Multiple Sclerosis Biomarkers Detection By A Bilstm Deep Learning Model For Mirna Data Analysis", 2022. High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blind,vol., no., pp. - , 2022-11-22.
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81 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Users share opinions and discussions on the internet through social media platforms. Nowadays, a significant number of internet users speak the Arabic language. They tend to express their opinions using different dialects. Therefore, understanding people', "Sentiment Analysis For Arabic Low Resource Data Using BERT-CNN", 2022. Users share opinions and discussions on the internet through social media platforms. Nowadays, a significant number of internet users speak the Arabic language. They tend to express their opinions using different dialects. Therefore, understanding people',vol., no., pp. 24 - 26, 2022-10-12.
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82 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
A blockchain is a data structure that is implemented as a distrusted database or digital ledger. The transactions are saved to a block of transactions that is attached in turn to the blockchain after the verification process, in which each block in the ch, "A Blockchain-Based Model For Securing Iot Transactions In A Healthcare Environment", 2022. A blockchain is a data structure that is implemented as a distrusted database or digital ledger. The transactions are saved to a block of transactions that is attached in turn to the blockchain after the verification process, in which each block in the ch,vol.13, no.9, pp. 67 - 75, 2022-09-01.
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83 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
E-commerce is growing rapidly around the world and this causes a significant increase in credit card transactions, both normal and fraud transactions. Financial institutions throughout the world lose billions because of credit card fraud. Fraudsters have , "A Comparative Analysis of Credit Card Fraud Detection Using Machine Learning and Deep Learning Techniques.", 2022. E-commerce is growing rapidly around the world and this causes a significant increase in credit card transactions, both normal and fraud transactions. Financial institutions throughout the world lose billions because of credit card fraud. Fraudsters have ,vol., no., pp. 267 - 282, 2022-07-01.
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84 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Federated Learning (FL) provides training of global shared model using decentralized data sources on edge nodes while preserving data privacy. However, it’s performance in the computer vision applications using Convolution neural network (CNN) considerabl, "A FEDERATED PURE VISION TRANSFORMER ALGORITHM FOR COMPUTER VISION USING DYNAMIC AGGREGATION MODEL", 2022. Federated Learning (FL) provides training of global shared model using decentralized data sources on edge nodes while preserving data privacy. However, it’s performance in the computer vision applications using Convolution neural network (CNN) considerabl,vol.20, no.10, pp. 7406 - 7414, 2022-08-01.
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85 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Thanks to high-throughput data technology, microRNA analysis studies have evolved in early disease detection. This work introduces two complete models to detect the biomarkers of two autoimmune diseases, multiple sclerosis and rheumatoid arthritis, via mi, "Machine Learning-Based Models For Detection Of Biomarkers Of Autoimmune Diseases By Fragmentation And Analysis Of Mirna Sequences", 2022. Thanks to high-throughput data technology, microRNA analysis studies have evolved in early disease detection. This work introduces two complete models to detect the biomarkers of two autoimmune diseases, multiple sclerosis and rheumatoid arthritis, via mi,vol., no., pp. - , 2022-05-31.
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86 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
The Internet of Medical Things was immensely implemented in healthcare systems during the covid 19 pandemic to enhance the patient's circumstances remotely in critical care units while keeping the medical staff safe from being infected. However, Healthcar, "Detecting Ransomware within Real Healthcare Medical Records Adopting Internet of Medical Things using Machine and Deep Learning Techniques", 2022. The Internet of Medical Things was immensely implemented in healthcare systems during the covid 19 pandemic to enhance the patient's circumstances remotely in critical care units while keeping the medical staff safe from being infected. However, Healthcar,vol.13, no.2, pp. 591 - 597, 2022-02-01.
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87 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blind, "Multiple Sclerosis Biomarkers Detection By A Bilstm Deep Learning Model For Mirna Data Analysis", 2022. High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blind,vol., no., pp. - , 2022-11-22.
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88 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Users share opinions and discussions on the internet through social media platforms. Nowadays, a significant number of internet users speak the Arabic language. They tend to express their opinions using different dialects. Therefore, understanding people', "Sentiment Analysis For Arabic Low Resource Data Using BERT-CNN", 2022. Users share opinions and discussions on the internet through social media platforms. Nowadays, a significant number of internet users speak the Arabic language. They tend to express their opinions using different dialects. Therefore, understanding people',vol., no., pp. 24 - 26, 2022-10-12.
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89 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
A blockchain is a data structure that is implemented as a distrusted database or digital ledger. The transactions are saved to a block of transactions that is attached in turn to the blockchain after the verification process, in which each block in the ch, "A Blockchain-Based Model For Securing Iot Transactions In A Healthcare Environment", 2022. A blockchain is a data structure that is implemented as a distrusted database or digital ledger. The transactions are saved to a block of transactions that is attached in turn to the blockchain after the verification process, in which each block in the ch,vol.13, no.9, pp. 67 - 75, 2022-09-01.
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90 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
E-commerce is growing rapidly around the world and this causes a significant increase in credit card transactions, both normal and fraud transactions. Financial institutions throughout the world lose billions because of credit card fraud. Fraudsters have , "A Comparative Analysis of Credit Card Fraud Detection Using Machine Learning and Deep Learning Techniques.", 2022. E-commerce is growing rapidly around the world and this causes a significant increase in credit card transactions, both normal and fraud transactions. Financial institutions throughout the world lose billions because of credit card fraud. Fraudsters have ,vol., no., pp. 267 - 282, 2022-07-01.
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91 - Topic : Artificial Intelligence & Neural Networks AuthorMohamed Waleed Talaat Ismail Fakhr
Mohamed Waleed Fakhr, Mohamed Abo Rizka, Mohamed Fawzy, "ArSentBERT: fine-tuned bidirectional encoder representations from transformers model for Arabic sentiment classification", 2022. Mohamed Waleed Fakhr, Mohamed Abo Rizka, Mohamed Fawzy,vol.0, no.0, pp. - , 2022-12-25.
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92 - Topic : Artificial Intelligence & Neural Networks AuthorMohamed Waleed Talaat Ismail Fakhr
Mohamed Waleed Fakhr, Nashwa ElBendary,, "Multimodal Deep Learning Model for Human Handover Classification", 2022. Mohamed Waleed Fakhr, Nashwa ElBendary,,vol.0, no.0, pp. - , 2022-04-28.
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93 - Topic : Artificial Intelligence & Neural Networks AuthorMohamed Waleed Talaat Ismail Fakhr
Mohamed Waleed Fakhr, Nawal Zaher, Ahmed Khalifa, "Convolutional Neural Network based on Diverse Gabor Filters for Deepfake Recognition", 2022. Mohamed Waleed Fakhr, Nawal Zaher, Ahmed Khalifa,vol.0, no.0, pp. - , 2022-03-04.
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94 - Topic : Artificial Intelligence & Neural Networks AuthorNashwa Mamdouh Mohamed Elbendary
Islam A Monir, Mohamed W. Fakhr, Nashwa El-Bendary, "Multimodal deep learning model for human handover classification", 2022. Islam A Monir, Mohamed W. Fakhr, Nashwa El-Bendary,vol.0, no.0, pp. - , 2022-04-01.
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95 - Topic : Artificial Intelligence & Neural Networks AuthorNashwa Mamdouh Mohamed Elbendary
Hadeel Abd El-Kareem Abd El-Moaty Saleh, Ana Fernández Vilas, Manuel Fernández-Veiga, Yasser El-Sonbaty, and Nashwa El-Bendary, "Using Decentralized Aggregation for Federated Learning with Differential Privacy", 2022. Hadeel Abd El-Kareem Abd El-Moaty Saleh, Ana Fernández Vilas, Manuel Fernández-Veiga, Yasser El-Sonbaty, and Nashwa El-Bendary,vol.0, no.0, pp. - , 2022-10-24.
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96 - Topic : Artificial Intelligence & Neural Networks AuthorNashwa Mamdouh Mohamed Elbendary
Bahaa-Elden A. Abdelghany, M. Fernández-Veiga, A. Fernández-Vilas, Ammar M. Hassan, Waleed Abdel Moez, and Nashwa El-Bendary, "Scheduling and Communication Schemes for Decentralized Federated Learning", 2022. Bahaa-Elden A. Abdelghany, M. Fernández-Veiga, A. Fernández-Vilas, Ammar M. Hassan, Waleed Abdel Moez, and Nashwa El-Bendary,vol.0, no.0, pp. - , 2022-12-17.
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97 - Topic : Artificial Intelligence & Neural Networks AuthorNawal Aly Mahmoud Zaher
H Khalifa, NA Zaher, AS Abdallah, MW Fakhr, "Convolutional Neural Network based on Diverse Gabor Filters for Deepfake Recognition", 2022. H Khalifa, NA Zaher, AS Abdallah, MW Fakhr,vol.0, no.0, pp. - , 2022-02-16.
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98 - Topic : Artificial Intelligence & Neural Networks AuthorRana Alaa Aldin Ahmed Ibrahim
Rana Alaa El-deen Ahmed / Manuel Fernandez-Veiga/ Mariam Gawich, "Neural Collaborative Filtering with Ontologies for Integrated Recommendation Systems", 2022. Rana Alaa El-deen Ahmed / Manuel Fernandez-Veiga/ Mariam Gawich,vol.0, no.0, pp. - , 2022-01-17.
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99 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Ayman Samir Saleh Mesbah Elkaffas Magda M. Madbouly, "Twitter Sentiment Analysis Using BERT", 2022. Ayman Samir Saleh Mesbah Elkaffas Magda M. Madbouly,vol.0, no.0, pp. - , 2022-10-17.
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100 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Israa F. Jassam Saleh Mesbah Elkaffas Adel A. El-Zoghabi, "Chest X-Ray Pneumonia Detection by Dense-Net", 2022. Israa F. Jassam Saleh Mesbah Elkaffas Adel A. El-Zoghabi,vol.0, no.0, pp. - , 2022-10-17.
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