• Classification of DNA Sequence Based on a Non-gradient Algorithm: Pseudoinverse Learners 

  Mahmoud, Mohammed A. B (Springer, 2024-04)

  This chapter proposes a prototype-based classification approach for analyzing DNA barcodes that uses a spectral representation of DNA sequences and a non-gradient neural network. Biological sequences can be viewed as data ...
• Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets 

  Zaher, Moamen; Ghoneim, Amr S; Abdelhamid, Laila; Atia, Ayman (Springer Netherlands, 2024-04)

  Physical rehabilitation is crucial in healthcare, facilitating recovery from injuries or illnesses and improving overall health. However, a notable global challenge stems from the shortage of professional physiotherapists, ...
• ADVANCING DIABETIC FOOT ULCER DETECTION BASED ON RESNET AND GAN INTEGRATION 

  El-Kady, Ahmed Mostafa; Abbassy, Mohamed M; Ali, Heba Hamdy; Ali, Moussa Farid (Little Lion Scientific, 2024-03)

  Diabetes, characterized by the body's inability to effectively regulate sugar levels due to insulin complications, leads to various serious health issues. Among these, Diabetic Foot Ulcer stands out as a critical yet often ...
• Predicting progression of Alzheimer’s disease using new survival analysis approach 

  Zawawi, Nour Saad; Saber, Heba Gamal; Hashem, Mohamed (Institute of Advanced Engineering and Science (IAES), 2024-01)

  It is critical to determine the risk of Alzheimer’s disease (AD) in people with mild cognitive impairment (MCI) to begin treatment early. Its development is affected by many things, but how each effect and how the disease ...
• Naïve Bayes classifier assisted automated detection of cerebral microbleeds in susceptibility-weighted imaging brain images 

  Ateeq, Tayyab; Bin Faheem, Zaid; Ghoneimy, Mohamed; Ali, Jehad; Li, Yang; Baz, Abdullah (National Research Council of Canada, 2023-12)

  Cerebral microbleeds (CMBs) in the brain are the essential indicators of critical brain disorders such as dementia and ischemic stroke. Generally, CMBs are detected manually by experts, which is an exhaustive task with ...
• Empowering Short Answer Grading: Integrating Transformer-Based Embeddings and BI-LSTM Network 

  Gomaa, Wael H; Nagib, Abdelrahman E; Saeed, Mostafa M; Algarni, Abdulmohsen; Nabil, Emad (MDPI AG, 2023-06)

  Automated scoring systems have been revolutionized by natural language processing, enabling the evaluation of students’ diverse answers across various academic disciplines. However, this presents a challenge as students’ ...
• Incorporating Connectivity in k-Nearest Neighbors Regression 

  Mahfouz, Mohamed A (2023-07)

  The standard k-nearest neighbors' approach to regression analysis encounters a number of problems when used on datasets with various density distributions. This paper proposes a kNNR-relative ensemble regressor based on ...
• Deep Learning-Based Alzheimer’s Disease Classification: An Experimental Study 

  Ayman, Mohamed; Darwish, Farah; Mohammed, Tukka; Mohammed, Ammar (IEEE, 2023-07)

  Alzheimer's disease poses a significant challenge to healthcare professionals due to its prevalence in dementia cases. Accurate and timely diagnosis is essential for effective management of patients. Magnetic resonance ...
• Process Discovery Automation: Benefits and Limitations 

  Montasser, Reem Kadry; Helal, Iman M. A (IEEE, 2023-07)

  Process discovery algorithms incorporating domain knowledge can have varying levels of user involvement. It ranges from fully automated algorithms to interactive approaches where the user makes critical decisions about the ...
• Classification of tumors based on distinguishing possibilistic biclusters 

  Mahfouz, Mohamed A (IEEE, 2023-07)

  The application of machine learning techniques to analyze very high dimensional gene expression data in order to uncover the underlying biological mechanisms of complex diseases is one of the most crucial bioinformatics ...
• Empowering MBTI Personality Classification through Transformer-Based Summarization Model 

  Elmoushy, Seif; Saeed, Mostafa; Gomaa, Wael H (IEEE, 2023-07)

  The Myers-Briggs Type Indicator (MBTI) is a popular personality classification tool that utilizes the work of Carl Jung. With individuals increasingly expressing themselves online rather than in person, social media has ...
• Early Rheumatoid Arthritis Detection by miRNA Data Analysis Using a Hybrid CNN-LSTM Deep Learning Model 

  Ali, Nehal M (IEEE, 2023-07)

  Transcriptomic data analysis has significantly evolved thanks to the high throughput data technology. Analyzing this data can notably support the early detection of several diseases. At the same time, Rheumatoid arthritis ...
• A Novel Two-Phase Approach for Enhancing Process Model Discovery in Processing Mining 

  Abo Khedra, M. M; Mohammed, Ammar; Abdel-Hamid, Yasser (IEEE, 2023-07)

  Process mining showed great capabilities in many fields, aiming to automatically extract the nature of process models from "event logs."Businesses commonly use process mining to improve key performance indicators (KPIs). ...
• Rooted Android Devices Risk Assessment using Analytic Hierarchy Process 

  Elsersy, Wael; El-Fishawy, Nawal Ahmed; Zakaria, Ehab E (IEEE, 2023-09)

  Attackers are targeting rooted Android mobile devices to gain access to confidential data such as credit cards and banking transactions. Despite the removal of rooting applications from Google Play Store, attackers still ...
• Chicken Behavior Analysis for Surveillance in Poultry Farms 

  Mohialdin, Abdallah Mohamed; Elbarrany, Abdullah Magdy; Atia, Ayman (Science and Information Organization, 2023-03)

  Poultry farming is an important industry that provides food for a growing population. However, the welfare of the birds is a major concern, as poor living conditions leads to abnormal behavior that affects the health ...
• An Enhanced Deep Learning Approach for Breast Cancer Detection in Histopathology Images 

  Ouf, Mahmoud; Abdul-Hamid, Yasser; Mohammed, Ammar (Springer, 2023-03)

  An Enhanced Deep Learning Approach for Breast Cancer Detection in Histopathology Images Mahmoud Ouf, Yasser Abdul-Hamid & Ammar Mohammed Conference paper First Online: 01 March 2023 129 Accesses Part of the Lecture ...
• Aero engines remaining useful life prediction based on enhanced adaptive guided diferential evolution 

  Abdelghafar, Sara ; Khater, Ali ; Wagdy, Ali ; Darwish, Ashraf ; Hassanien, Aboul Ella  (Springer Verlag, 2022-12)

  Remaining Useful Life (RUL) prediction is a key process for prognostic health management in almost all engineering real- world applications, especially which are in hazardous and challenging environments where the failures ...
• SPCM: Efficient semi-possibilistic c-means clustering algorithm 

  Mohamed A, Mahfouz (IOS Press BV, 2022-11)

  The required division and exponentiation operations needed per iteration for the possibilistic c-means (PCM) clustering algorithm complicate its implementation, especially on homomorphically-encrypted data. This paper ...
• Forensic Handwritten Signature Identification Using Deep Learning 

  Tarek, Omara; Atia, Ayman (Institute of Electrical and Electronics Engineers Inc., 2022-09)

  Forgery is a type of fraud defined as the act of forging a copy or an imitation of a document, signature, or banknote which is considered a form of illegal criminal activity. In this paper, we are focusing on the identification ...
• Exploring and Classifying Beef Retail Cuts Using Transfer Learning 

  Abuzaid, Abdallah; Atia, Ayman (Institute of Electrical and Electronics Engineers Inc., 2022-09)

  An evaluation of the deep learning neural network in artificial intelligence (AI) technologies is proposed to provide a rapid recognition and immediate proper classification of the different beef retail cuts (Liver, Roast ...

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