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An Automated Real-Time Face Mask Detection System Using Transfer Learning with Faster-RCNN in the Era of the COVID-19 Pandemic

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Computers, Materials & Continua 2022年第5期71卷 4151-4166页

作者： Maha Farouk S.Sabir Irfan Mehmood Wafaa Adnan Alsaggaf Enas Fawai Khairullah Samar Alhuraiji Ahmed S.Alghamdi Ahmed A.Abd El-Latif Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversitySaudi Arabia Centre for Visual Computing Faculty of Engineering and InformaticsUniversity of BradfordBradfordU.K Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahP.O.Box 23713Saudi Arabia Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahSaudi Arabia Department of Mathematics and Computer Science Faculty of ScienceMenoufia University32511Egypt

Today,due to the pandemic of COVID-19 the entire world is facing a serious health *** to the World Health Organization(WHO),people in public places should wear a face mask to control the rapid transmission of *** governmental bodies of different countries imposed that wearing a face mask is compulsory in public ***,it is very difficult to manually monitor people in overcrowded *** research focuses on providing a solution to enforce one of the important preventative measures of COVID-19 in public places,by presenting an automated system that automatically localizes masked and unmasked human faces within an image or video of an area which assist in this outbreak of *** paper demonstrates a transfer learning approach with the Faster-RCNN model to detect faces that are masked or *** proposed framework is built by fine-tuning the state-of-the-art deep learning model,Faster-RCNN,and has been validated on a publicly available dataset named Face Mask Dataset(FMD)and achieving the highest average precision(AP)of 81%and highest average Recall(AR)of 84%.This shows the strong robustness and capabilities of the Faster-RCNN model to detect individuals with masked and un-masked ***,this work applies to real-time and can be implemented in any public service area.

关键词： COIVD-19 deep learning faster-RCNN object detection transfer learning face mask

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Single-cell and multi-omics integration reveals cholesterol biosynthesis as a synergistic target with HER2 in aggressive breast cancer

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Computational and Structural Biotechnology Journal 2025年 27卷 1719-1731页

作者： Tseng, Tzu-Yang Hsieh, Chiao-Hui Liu, Jie-Yu Huang, Hsuan-Cheng Juan, Hsueh-Fen Department of Life Science National Taiwan University Taipei Taiwan Institute of Biomedical Informatics National Yang Ming Chiao Tung University Taipei Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan Center for Computational and Systems Biology National Taiwan University Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine National Taiwan University Taipei Taiwan

Breast cancer stands as one of the most prevalent malignancies affecting women. Alterations in molecular pathways in cancer cells represent key regulatory disruptions that drive malignancy, influencing cancer cell survival, proliferation, and potentially modulating therapeutic responsiveness. Therefore, decoding the intricate molecular mechanisms and identifying novel therapeutic targets through systematic computational approaches are essential steps toward advancing effective breast cancer treatments. In this study, we developed an integrative computational framework that combines single-cell RNA sequencing (scRNA-seq) and multi-omics analyses to delineate the functional characteristics of malignant cell subsets in breast cancer patients. Our analyses revealed a significant correlation between cholesterol biosynthesis and HER2 expression in malignant breast cancer cells, supported by proteomics data, gene expression profiles, drug treatment scores, and cell-surface HER2 intensity measurements. Given previous evidence linking cholesterol biosynthesis to HER2 membrane dynamics, we proposed a combinatorial strategy targeting both pathways. Experimental validation through clonogenic and viability assays demonstrated that simultaneous inhibition of cholesterol biosynthesis (via statins) and HER2 (via Neratinib) synergistically reduced malignant breast cancer cells, even in HER2-negative contexts. Through systematic analysis of scRNA-seq and multi-omics data, our study computationally identified and experimentally validated cholesterol biosynthesis and HER2 as novel combinatorial therapeutic targets in breast cancer. This data-driven approach highlights the potential of leveraging multiple molecular profiling techniques to uncover previously unexplored treatment strategies. © 2025 The Authors

关键词： Drug infusion

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Integrating Function and Connection: Two Perspectives to Telepresence Robot Design for Classroom 25

Integrating Function and Connection: Two Perspectives to Tel...

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2025 ACM International Conference on Supporting Group Work, GROUP Companion 2025

作者： Berhane, Roda Akiode, Deo Adejoke Joshi, Swapna Elmimouni, Houda School of Informatics Computing and Engineering Indiana University BloomingtonIN United States Field Robotics Lab Northeastern University BostonMA United States Department of Computer Science University of Manitoba WinnipegMB Canada Information Systems and New Media University of Siegen Siegen Germany

ISBN: (纸本)9798400711879

This study explores robotic telepresence in classrooms, from the perspectives of both the remote students (operators) and their in-person classmates. Analyzing a subset of field study data from 35 participants (22 operators, 13 classmates), we identified differing priorities: operators of the robot emphasize the need for improved functional aspects like camera control, while co-present classmates value social presence, interaction and identification, advocating for features like personalization and effective communication channels. These insights underline the need for telepresence robots that balance functional efficacy with social integration to provide a holistic educational experience. This work, though incomplete, enriches Group and CSCW literature on telepresence robots to facilitate collaborative interactions by highlighting the distinct needs of remote and in-person students, proposing design recommendations for telepresence robots that are technically proficient and socially responsive. © 2025 Copyright held by the owner/author(s).

关键词： Students

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Texture and Orientation-based Feature Extraction for Robust Facial Expression Recognition 21

Texture and Orientation-based Feature Extraction for Robust ...

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21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2023

作者： Khan, Sajid Ali Bin Abdulrahman Alawairdhi, Mohammed Al-Akhras, Mousa Foundation University Islamabad Department of Software Engineering Islamabad Pakistan Saudi Electronic University College of Computing and Informatics Saudi Arabia The University of Jordan Amman King Abdullah II School for Information Technology Computer Information Systems Department Jordan

ISBN: (纸本)9798350345889

Facial expressions are the most effective way to characterize people's motives, emotions, and feelings. Several new methods are proposed each year;however, the accuracy of facial expression recognition still needs to be improved especially in uncontrolled conditions. In this paper, we propose a hybrid facial expression model that considers both texture and orientation features to classify expressions. Two types of descriptors namely Local binary pattern and Weber local descriptor are used to preserve the local intensity information and orientation of edges. In the next step, computing the Histograms of oriented gradients (HOG) features from the Local binary pattern and Weber local descriptor images to capture micro-expressions. Then, the AdaBoost feature selection algorithm is utilized to choose the best features from the combined HOG features. The results of the experiments demonstrate that the method proposed in this study performs better than existing methods. © 2023 IEEE.

关键词： Local binary pattern

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Mitigating Smishing: Challenges and Future Work

arXiv

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arXiv 2024年

作者： Faklaris, Cori Department of Software and Information Systems College of Computing and Informatics University of North Carolina at Charlotte CharlotteNC United States

U.S. Federal Trade Commission data for 2020-2022 shows that 23% of all fraud reports include Text as the contact method, with reported losses in the same period rising 279%, to $326 million. These numbers, and estimates of other unreported losses, have spurred our lab and others in industry and academia to direct resources to understanding and mitigating smishing. In this workshop paper, we describe three principal challenges in smishing mitigation that are distinct from traditional phishing: (1) limitations of mobile device affordances, (2) the complexity of cellular network infrastructure, and (3) cognitive and contextual factors in mobile device usage. We describe ideas for mitigating smishing, including a high-level overview of our lab's work to create and test interface designs for text-message recipients. © 2024, CC BY-SA.

关键词： Mobile security

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The Usability Testing of Website with Automated Tools (A Case Study at School of Information systems, BINUS University) 7

The Usability Testing of Website with Automated Tools (A Cas...

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7th International Conference on E-Society, E-Education and E-Technology, ESET 2023

作者： Kurniawan, Yohannes Pratama, Bayu Candra, Sevenpri Luhukay, Devyano Johan Anwar, Norizan School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Binus Business School Bina Nusantara University Management Department Jakarta11480 Indonesia School of Information Science College of Computing Informatics and Media Universiti Teknologi MARA Shah Alam40450 Malaysia

ISBN: (纸本)9798350344608

The Information and Communication Technologies (ICT) field has grown significantly over the past few decades. Websites are now crucial tools for the distribution of digital material. In order to compete worldwide and give everyone the information they need. Therefore, websites need to be usable and accessible. The usability of a website is related to how simple it is to use, while accessibility is required for successful and efficient web use. The author uses the School of Information systems website as an object for this research. This research will concentrate on using an automated tool to assess websites. The research objectives are to examine the usability and performance of the website, including information delivery methods and the utilization of every aspect the website offers visitors. The research uses automated tools to evaluate websites such as WAVE, Tenon, Google Lighthouse, and Pingdom. The results of this research could assist stakeholders in improving the quality of the website in order to boost user satisfaction and experience. © 2023 IEEE.

关键词： Information use

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User Experience on a Culture-Based Learning Management System: Students' Perspective

User Experience on a Culture-Based Learning Management Syste...

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Information and Education Technology (ICIET), International Conference on

作者： Regina Garcia Almonte Alvin Monteron Montiano Paul Brian Cerequillo Salili Leonard Marudo Garcia Ramil Roxas Hipolito Arlou Hemedez Fernando Department of Computing and Informatics City College of Calamba Laguna Philippines Management Information Systems Department City College of Calamba Laguna Philippines

ISBN: (数字)9798350371772

ISBN: (纸本)9798350371789

User Experience (UX) refers to the individual experience of users when using software. An institution must analyze the user experience, especially for custom-built software. The goal of this study is to assess the UX to verify that e-Guro, the City College of Calamba's culture-based Learning Management System, satisfies student expectations. To achieve this purpose, an adapted culture-based questionnaire was used to assess UX. With an aggregate mean of 3.62, which was evaluated as acceptable, e-Guro satisfied the users' expectations in terms of goal content, usability objectives, accessibility goals, and engagement goals. The findings provide important insight into how to develop a culture-based learning management system to help achieve teaching and learning objectives more effectively.

关键词： Learning management systems Reviews Aggregates Education Urban areas Software User experience

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Optimising Random Forest Machine Learning Algorithms for User VR Experience Prediction Based on Iterative Local Search-Sparrow Search Algorithm 6

Optimising Random Forest Machine Learning Algorithms for Use...

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6th International Conference on Communications, Information System and Computer Engineering, CISCE 2024

作者： Tang, Xirui Li, Feiyang Cao, Zinan Yu, Qixuan Gong, Yulu College of Computer Sciences Northeastern University BostonMA02115 United States University of Illinois Urbana-Champaign Department of Computer Science ChampaignIL61820 United States The University of Tokyo Department of General Systems Studies Tokyo113-8654 Japan College of Computing Georgia Institute of Technology AtlantaGA30332-0280 United States School of Informatics Computing and Cyber Systems Northern Arizona University FlagstaffAZ86011-4092 United States

ISBN: (纸本)9798350353174

In this paper, an improved method for VR user experience prediction is investigated by introducing a sparrow search algorithm and a random forest algorithm improved by an iterative local search-optimised sparrow search algorithm. The study firstly conducted a statistical analysis of the data, and then trained and tested using the traditional random forest model, the random forest model improved by the sparrow search algorithm, and the random forest algorithm improved based on the iterative local search-sparrow search algorithm, respectively. The results show that the traditional random forest model has a prediction accuracy of 93% on the training set but only 73.3% on the test set, which is poor in generalisation;whereas the model improved by the sparrow search algorithm has a prediction accuracy of 94% on the test set, which is improved compared with the traditional model. What is more noteworthy is that the improved model based on the iterative local search-sparrow search algorithm achieves 100% accuracy on both the training and test sets, which is significantly better than the other two methods. These research results provide new ideas and methods for VR user experience prediction, especially the improved model based on the iterative local search-sparrow search algorithm performs well and is able to more accurately predict and classify the user's VR experience. In the future, the application of this method in other fields can be further explored, and its effectiveness can be verified through real cases to promote the development of AI technology in the field of user experience. © 2024 IEEE.

关键词： Prediction models

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Can Large Language Models Effectively Mitigate Polarization in Social Media Text? 25

Can Large Language Models Effectively Mitigate Polarization ...

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Proceedings of the 17th ACM Web Science Conference 2025

作者： Lucas Raniére Juvino Santos Leandro Balby Marinho Claudio Elizio Calazans Campelo Filippo Menczer Alessandro Flammini Systems and Computing Department Federal University of Campina Grande Campina Grande Paraíba Brazil Luddy School of Informatics Computing and Engineering Indiana University Bloomington Indiana USA

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Syllabus Design and Planning with Artificial Intelligence and the Potential of Generative AI 24

Syllabus Design and Planning with Artificial Intelligence an...

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24th IEEE International Symposium on Computational Intelligence and informatics, CINTI 2024

作者： Kozhanov, Murat Mosavi, Amir Amirov, Azamat Kaibassova, Dinara Poser, Valeria Shakhatova, Aliya Lira, La Eigner, Gyorgy Department of Information and Computing Systems Abylkas Sagninov Karaganda Technical University Karaganda Kazakhstan Obuda University Budapest Hungary Ludovika University of Public Service Budapest Hungary Department of Computer Engineering Astana IT University Astana Kazakhstan John von Neumann Faculty of Informatics Obuda University Budapest Hungary Department of Information Systems L.N.Gumilyov Eurasian National University Astana Kazakhstan

ISBN: (纸本)9798350353433

This article introduces a methodology to identify the fundamental studies carried out using artificial intelligence for syllabus design and planning. A taxonomy of the most relevant studies is presented based on the method and applications. The main studies in the field are reviewed and their contributions are emphasized. The meta-analysis of the results presents the extent and applicability of artificial intelligence in syllabus design and planning. The result shows the essential role of machine learning in the development and improving the process of syllabus design and planning. © 2024 IEEE.

关键词： Adversarial machine learning

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