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2025	14th International Seminar on Industrial Engineering and Management (ISIEM) Muhammad Rizwan, Po Tsang B. Huang, Mehboob Ali
2025	2025 IEEE Conference on Artificial Intelligence (CAI) Pooja Singh, Rodrigue Rizk, KC Santosh
2025	Lecture Notes in Networks and Systems M. K. Shajila Beegam, Mala Kalra
2025	Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification PLOS One Ramla Sheikh, Fazli Wahid, Sikandar Ali, Ahmed Alkhayyat, Yingling Ma, Jawad Khan, Youngmoon Lee
2024	A Comprehensive Review on COVID-19 Detection Based on Cough Sounds, Symptoms, CXR, and CT Images IEEE Access Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, Venubabu Rachapudi, Jnanaranjan Mohanty, Khursheed Muzammil, Saiful Islam, Wahaj Ahmad Khan
2024	2024 IEEE 21st India Council International Conference (INDICON) Aayush Rameshlal Kanjani, Bhavya Singh, Prabhat Chandra Srivastava, Ramesh K Bhukya
2024	COVID-19 classification based on a deep learning and machine learning fusion technique using chest CT images Neural Computing and Applications Gerges M. Salama, Asmaa Mohamed, Mahmoud Khaled Abd-Ellah
2024	Enhancing pulmonary abnormality detection with an optimized CNN architecture incorporating depth-wise separable convolution and inception module Evolving Systems Sohaib Asif, Qurrat-ul-Ain
2024	2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC) Jingxiang Xu, Jianqiang Li, Juan Li, Linna Zhao, Shujie Ding
2024	The montage method improves the classification of suspected acute ischemic stroke using the convolution neural network and brain MRI Radiological Physics and Technology Daisuke Oura, Masayuki Gekka, Hiroyuki Sugimori
2024	2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Naçima Mellal, Asma Saighi
2024	Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds PLOS ONE Hassaan Malik, Tayyaba Anees
2023	DenSplitnet: Classifier-invariant neural network method to detect COVID-19 in chest CT data Journal of Visual Communication and Image Representation Murukessan Perumal, M Srinivas
2023	LSAE: Autoencoder Latent Space for Dimensionality Reduction-Based Approach for COVID-19 Classification and Detection Task Using Chest X-ray Operations Research Forum Younes Bouchlaghem, Yassine Akhiat, Kaouthar Touchanti, Souad Amjad
2023	2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA) Basheer Almuhaya, Rehab Mohammed, Ahmed Mohammed, Bishal Saha
2023	COVID-19 detection and classification: key AI challenges and recommendations for the way forward Journal of Pulmonology and Respiratory Research Althinyan Albatoul, Mirza Abdulrahman , Aly Sherin , Nouh Thamer , Mahboub Bassam , Salameh Laila , Alkubeyyer Metab , AlSalamah Shada A
2023	2023 11th International Conference on Information and Communication Technology (ICoICT) Yu Jie Lim, Kian Ming Lim, Chin Poo Lee, Roy Kwang Yang Chang, Jit Yan Lim
2023	SpringerBriefs in Applied Sciences and Technology KC Santosh, Suprim Nakarmi
2023	CRV-NET: Robust Intensity Recognition of Coronavirus in Lung Computerized Tomography Scan Images Diagnostics Uzair Iqbal, Romil Imtiaz, Abdul Khader Jilani Saudagar, Khubaib Amjad Alam
2022	COVID-19 Detection from Radiographs: Is Deep Learning Able to Handle the Crisis? Signals Muhammad Saqib, Abbas Anwar, Saeed Anwar, Lars Petersson, Nabin Sharma, Michael Blumenstein
2022	COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization Frontiers in Public Health Ameer Hamza, Muhammad Attique Khan, Shui-Hua Wang, Abdullah Alqahtani, Shtwai Alsubai, Adel Binbusayyis, Hany S. Hussein, Thomas Markus Martinetz, Hammam Alshazly
2022	Effective detection of COVID-19 outbreak in chest X-Rays using fusionnet model The Imaging Science Journal Ganesh Keshaorao Yenurkar, Sandip Mal
2022	Deep Neural Network Based Vehicle Detection and Classification of Aerial Images Intelligent Automation & Soft Computing Sandeep Kumar, Arpit Jain, Shilpa Rani, Hammam Alshazly, Sahar Ahmed Idris, Sami Bourouis
2022	Semantic Information Extraction from Multi-Corpora Using Deep Learning Computers, Materials & Continua Sunil Kumar, Hanumat G. Sastry, Venkatadri Marriboyina, Hammam Alshazly, Sahar Ahmed Idris, Madhushi Verma, Manjit Kaur
2022	COV-DLS: Prediction of COVID-19 from X-Rays Using Enhanced Deep Transfer Learning Techniques Journal of Healthcare Engineering Vijay Kumar, Anis Zarrad, Rahul Gupta, Omar Cheikhrouhou
2022	Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework Contrast Media & Molecular Imaging Anita S. Kini, A. Nanda Gopal Reddy, Manjit Kaur, S. Satheesh, Jagendra Singh, Thomas Martinetz, Hammam Alshazly
2022	Deep Sentiment Analysis of Twitter Data Using a Hybrid Ghost Convolution Neural Network Model Computational Intelligence and Neuroscience Mohammed Hasan Ali Al-Abyadh, Mohamed A. M. Iesa, Hani Abdel Hafeez Abdel Azeem, Devesh Pratap Singh, Pardeep Kumar, Mohamed Abdulamir, Asadullah Jalali
2022	A walk in the black-box: 3D visualization of large neural networks in virtual reality Neural Computing and Applications Christoph Linse, Hammam Alshazly, Thomas Martinetz
2022	COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization Frontiers in Public Health Ameer Hamza, Muhammad Attique Khan, Shui-Hua Wang, Majed Alhaisoni, Meshal Alharbi, Hany S. Hussein, Hammam Alshazly, Ye Jin Kim, Jaehyuk Cha
2022	Detection and Classification of COVID-19 by Radiological Imaging Modalities Using Deep Learning Techniques: A Literature Review Applied Sciences Albatoul S. Althenayan, Shada A. AlSalamah, Sherin Aly, Thamer Nouh, Abdulrahman A. Mirza
2022	2022 Seventh International Conference on Informatics and Computing (ICIC) Slamet Riyadi, Suci Rahmadina M. Rasyid, Cahya Damarjati
2022	2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Syed Farid Syed Azis, Shahrani Shahbudin, Murizah Kassim, Roslina Mohamad, Farah Yasmin Abdul Rahman
2021	Evaluating the Impact of COVID-19 on Society, Environment, Economy, and Education Sustainability Vijay Kumar, Hammam Alshazly, Sahar Ahmed Idris, Sami Bourouis
2021	Towards Explainable Ear Recognition Systems Using Deep Residual Networks IEEE Access Hammam Alshazly, Christoph Linse, Erhardt Barth, Sahar Ahmed Idris, Thomas Martinetz
2021	[Retracted] A Robust and Novel Approach for Brain Tumor Classification Using Convolutional Neural Network Computational Intelligence and Neuroscience Tahia Tazin, Sraboni Sarker, Punit Gupta, Fozayel Ibn Ayaz, Sumaia Islam, Mohammad Monirujjaman Khan, Sami Bourouis, Sahar Ahmed Idris, Hammam Alshazly
2021	Facial Recognition Intensity in Disease Diagnosis Using Automatic Facial Recognition Journal of Personalized Medicine Danning Wu, Shi Chen, Yuelun Zhang, Huabing Zhang, Qing Wang, Jianqiang Li, Yibo Fu, Shirui Wang, Hongbo Yang, Hanze Du, Huijuan Zhu, Hui Pan, Zhen Shen
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