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The outbreak of novel coronavirus disease (COVID- 19) has claimed millions of lives and has affected all aspects of human life. This paper focuses on the application of deep learning (DL) models to medical imaging and drug discovery for…

Image and Video Processing · Electrical Eng. & Systems 2021-07-21 Subrato Bharati , Prajoy Podder , M. Rubaiyat Hossain Mondal , V. B. Surya Prasath

COVID-19 is currently one the most life-threatening problems around the world. The fast and accurate detection of the COVID-19 infection is essential to identify, take better decisions and ensure treatment for the patients which will help…

Image and Video Processing · Electrical Eng. & Systems 2020-04-21 Md Zahangir Alom , M M Shaifur Rahman , Mst Shamima Nasrin , Tarek M. Taha , Vijayan K. Asari

Deep learning is effective in diagnosing COVID-19 and requires a large amount of data to be effectively trained. Due to data and privacy regulations, hospitals generally have no access to data from other hospitals. Federated learning (FL)…

Machine Learning · Computer Science 2023-03-29 Erfan Darzidehkalani , Nanna M. Sijtsema , P. M. A van Ooijen

The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and has challenged different sectors. One of the most effective ways to limit its spread is the early and accurate diagnosing infected patients. Medical…

This study explores a comprehensive approach to obstacle detection using advanced YOLO models, specifically YOLOv8, YOLOv7, YOLOv6, and YOLOv5. Leveraging deep learning techniques, the research focuses on the performance comparison of these…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Santiago Pérez , Camila Gómez , Matías Rodríguez

AI plays an important role in COVID-19 identification. Computer vision and deep learning techniques can assist in determining COVID-19 infection with Chest X-ray Images. However, for the protection and respect of the privacy of patients,…

Image and Video Processing · Electrical Eng. & Systems 2020-07-14 Boyi Liu , Bingjie Yan , Yize Zhou , Yifan Yang , Yixian Zhang

One of the most serious global health threat is COVID-19 pandemic. The emphasis on improving diagnosis and increasing the diagnostic capability helps stopping its spread significantly. Therefore, to assist the radiologist or other medical…

Image and Video Processing · Electrical Eng. & Systems 2020-12-07 Khalfalla Awedat , Almabrok Essa

In the contemporary landscape, the fusion of information technology and the rapid advancement of artificial intelligence have ushered school education into a transformative phase characterized by digitization and heightened intelligence.…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Zhifeng Wang , Minghui Wang , Chunyan Zeng , Jialong Yao , Yang Yang , Hongmin Xu

Computer aided diagnosis (CAD) increases diagnosis efficiency, helping doctors providing a quick and confident diagnosis, it has played an important role in the treatment of COVID19. In our task, we solve the problem about abnormality…

Image and Video Processing · Electrical Eng. & Systems 2022-01-26 Ruyi Qu , Yi Yang , Yuwei Wang

The COVID-19 epidemic has been a significant healthcare challenge in the United States. According to the Centers for Disease Control and Prevention (CDC), COVID-19 infection is transmitted predominately by respiratory droplets generated…

Computer Vision and Pattern Recognition · Computer Science 2023-04-03 Zekun Wang , Pengwei Wang , Peter C. Louis , Lee E. Wheless , Yuankai Huo

Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated virus with a single-stranded RNA, and also has one of the…

After the COVID-19 outbreak, it has become important to automatically detect whether people are wearing masks in order to reduce risk of front-line workers. In addition, processing user data locally is a great way to address both privacy…

Computer Vision and Pattern Recognition · Computer Science 2020-10-12 Keondo Park , Wonyoung Jang , Woochul Lee , Kisung Nam , Kihong Seong , Kyuwook Chai , Wen-Syan Li

Electric scooters (e-scooters) have rapidly emerged as a popular mode of transportation in urban areas, yet they pose significant safety challenges. In the United States, the rise of e-scooters has been marked by a concerning increase in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Dong Chen , Arman Hosseini , Arik Smith , Amir Farzin Nikkhah , Arsalan Heydarian , Omid Shoghli , Bradford Campbell

With the advancement of aerospace technology and the increasing demands of military applications, the development of low false-alarm and high-precision infrared small target detection algorithms has emerged as a key focus of research…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Taoran Yue , Xiaojin Lu , Jiaxi Cai , Yuanping Chen , Shibing Chu

The COVID-19 pandemic has undoubtedly changed the standards and affected all aspects of our lives, especially social communication. It has forced people to extensively wear medical face masks, in order to prevent transmission. This face…

Computer Vision and Pattern Recognition · Computer Science 2023-05-29 Nikolaos Kegkeroglou , Panagiotis P. Filntisis , Petros Maragos

This study presents a novel classroom surveillance system that integrates multiple modalities, including drowsiness, tracking of mobile phone usage, and face recognition,to assess student attentiveness with enhanced precision.The system…

Computer Vision and Pattern Recognition · Computer Science 2025-07-03 Ameer Hamza , Zuhaib Hussain But , Umar Arif , Samiya , M. Abdullah Asad , Muhammad Naeem

In the current COVID-19 pandemic situation, there is an urgent need to screen infected patients quickly and accurately. Using deep learning models trained on chest X-ray images can become an efficient method for screening COVID-19 patients…

Image and Video Processing · Electrical Eng. & Systems 2021-03-02 Shruti Jadon

The COVID-19 pandemic has been having a severe and catastrophic effect on humankind and is being considered the most crucial health calamity of the century. One of the best methods of detecting COVID-19 is from radiological images, namely…

Image and Video Processing · Electrical Eng. & Systems 2020-10-15 Arjun Sarkar , Joerg Vandenhirtz , Jozsef Nagy , David Bacsa , Mitchell Riley

Early detection of COVID-19 is crucial for effective treatment and controlling its spread. This study proposes a novel hybrid deep learning model for detecting COVID-19 from CT scan images, designed to assist overburdened medical…

Image and Video Processing · Electrical Eng. & Systems 2025-01-29 Suresh Babu Nettur , Shanthi Karpurapu , Unnati Nettur , Likhit Sagar Gajja , Sravanthy Myneni , Akhil Dusi , Lalithya Posham

Face masks have long been used in many areas of everyday life to protect against the inhalation of hazardous fumes and particles. They also offer an effective solution in healthcare for bi-directional protection against air-borne diseases.…

Computer Vision and Pattern Recognition · Computer Science 2021-06-18 Nael Fasfous , Manoj-Rohit Vemparala , Alexander Frickenstein , Lukas Frickenstein , Walter Stechele