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检索条件"机构=Artificial Intelligence and Applied Computer Science"
1408 条 记 录,以下是1-10 订阅
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Advanced Machine Learning Approaches for Breast Cancer Detection with Neutrosophic Sets
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Neutrosophic Sets and Systems 2025年 81卷 273-284页
作者: Elbehiery, Hussam Fathi, Hanaa Eassa, Mohamed Abdelhafeez, Ahmed Abdellah, Mohamed Refaat Mahmoud, Hadeer Computer Science Department Faculty of Information System and Computer Science October 6 University Giza12585 Egypt College of Information Technology Amman Arab University Amman Jordan Applied Science Research Center Applied Science Private University Amman Jordan The Department of Computer Science College of Information Technology Misr University for Science and Technology Cairo Egypt Department of Artificial Intelligence Faculty of Computers and Artificial Intelligence Modern University for Technology & Information Cairo Egypt
Breast Cancer (BC) remains a significant health challenge for women and is one of the leading causes of mortality worldwide. Accurate diagnosis is critical for successful therapy and increased survival rates. Recent a... 详细信息
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Exploration of Diffusion-Based Test Case Generation of Autonomous Driving Systems
Exploration of Diffusion-Based Test Case Generation of Auton...
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2025 International Conference on Electronics, Information, and Communication, ICEIC 2025
作者: Lee, Joonwoo Uk-Jin Lee, Scott Hanyang University Major in Bio-Artificial Intelligence Department of Applied Artificial Intelligence Ansan Korea Republic of Hanyang University Department of Computer Science and Engineering Ansan Korea Republic of
Autonomous driving systems demand extensive testing to guarantee safety and reliability. However, real-world testing is often costly and limited in variety. This paper investigates the use of diffusion models to gener... 详细信息
来源: 评论
Evolutionary Particle Swarm Optimization Algorithm Based on Collective Prediction for Deployment of Base Stations
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computers, Materials & Continua 2025年 第1期82卷 345-369页
作者: Jiaying Shen Donglin Zhu Yujia Liu Leyi Wang Jialing Hu Zhaolong Ouyang Changjun Zhou Taiyong Li School of Computer Science and Technology Zhejiang Normal UniversityJinhua321004China School of Future Technologies Jiangxi Institute of Applied Science and TechnologyNanchang330000China School of Computing and Artificial Intelligence Southwestern University of Finance and EconomicsChengdu611130China
The wireless signals emitted by base stations serve as a vital link connecting people in today’s society and have been occupying an increasingly important role in real *** development of the Internet of Things(IoT)re... 详细信息
来源: 评论
Heterologous Image Matching Based on Salience Region
IAENG International Journal of Computer Science
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IAENG International Journal of computer science 2025年 第4期52卷 894-900页
作者: Zhai, Jinlong Xu, Yang Yan, Xiaohu Computer Science and Software Engineering University of Science and Technology LiaoNing Anshan114051 China School of Computer Science and Software Engineering University of Science and Technology LiaoNing Anshan114051 China Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area Shenzhen Polytechnic University Shenzhen518055 China
To address the matching problem caused by the significant differences in spatial features, spectrum and contrast between heterologous images, a heterologous image matching method based on salience region is proposed i... 详细信息
来源: 评论
MECFormer: Multiple Exposure Correction Transformer Based on Autoencoder
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IEEE Access 2025年 13卷 83123-83135页
作者: Baek, Jong-Hyeon Lee, Hyo-Jun Kim, Hanul Koh, Yeong Jun Chungnam National University Department of Computer Science and Engineering Daejeon34134 Korea Republic of Kangwon National University Department of Artificial Intelligence Convergence Chuncheon24341 Korea Republic of Seoul National University of Science and Technology Department of Applied Artificial Intelligence Seoul01811 Korea Republic of
Images captured with wrong exposure conditions inevitably produce unsatisfactory visual effects. Thus, multiple exposure correction has drawn much attention, which should correct for degraded images due to various wro... 详细信息
来源: 评论
Composite Concept Extraction Through Backdooring  27th
Composite Concept Extraction Through Backdooring
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Ghosh, Banibrata Harikumar, Haripriya Doan, Khoa D. Venkatesh, Svetha Rana, Santu Applied Artificial Intelligence Institute Deakin University Waurn Ponds Geelong Australia College of Engineering and Computer Science VinUniversity Hanoi Viet Nam
Learning composite concepts, such as "red car", from individual examples—like a white car representing the concept of "car" and a red strawberry representing the concept of "red"—is inh... 详细信息
来源: 评论
Faster R-CNN in Healthcare and Disease Detection: A Comprehensive Review
Faster R-CNN in Healthcare and Disease Detection: A Comprehe...
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2025 International Conference on Electronics, Information, and Communication, ICEIC 2025
作者: Tian, Jiawei Lee, Seungho Kang, Kyungtae Major in Bio Artificial Intelligence Hanyang University Dept. of Computer Science and Engineering Ansan-si Korea Republic of Hanyang University Dept. of Applied Artificial Intelligence Ansan-si Korea Republic of Hanyang University Dept. of Artificial Intelligence Ansan-si Korea Republic of
This review examines the applications, challenges, and prospects of Faster Region-based Convolutional Neural Networks (Faster R-CNN) in healthcare and disease detection. Through a meta-analysis of Web of science liter... 详细信息
来源: 评论
Enhanced Federated Learning Framework based on Deep Learning and Neutrosophic Set for Android Malware Classification
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Neutrosophic Sets and Systems 2025年 82卷 781-799页
作者: Abdellah, Mohamed Refaat Oudah, Hasan H. Badawy, Ahmed Mohamed Ahmed Mohamed, Abdelfattah Abdelfattah M. Bedier, Shady Ahmed Metwaly, Ahmed A. Eassa, Mohamed Abdelhafeez, Ahmed The Department of Computer Science College of Information Technology Misr University for Science and Technology Cairo Egypt College of Arts Department of Journalism Ahl Al Bayt University Karbala Iraq Cybersecurity Department Faculty of Computers and Artificial Intelligence Helwan University Egypt Computer Science Department Faculty of Information System and Computer Science October 6 University Giza12585 Egypt Department of Computer Science Faculty of Computers and Informatics Zagazig University Zagazig44519 Egypt Applied Science Research Center Applied Science Private University Amman Jordan
Malware detection is one of the critical tasks of cybersecurity, especially considering the growing popularity of mobile devices. The integrity and security of mobile ecosystems rely on the capacity to identify malwar... 详细信息
来源: 评论
Data Augmentation for Messenger Phishing Detection Using Large Language Models
Data Augmentation for Messenger Phishing Detection Using Lar...
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2025 International Conference on Electronics, Information, and Communication, ICEIC 2025
作者: Noh, Keonwoong Oh, Seokjin Kim, Sunyub An, Dohyung Jung, Woohwan Hanyang University Dept. of Applied Artificial Intelligence Seoul Korea Republic of Hanyang University Dept. of Computer Science Ansan Korea Republic of
In this study, we introduce a new dataset specifically designed for detecting messenger phishing, an increasingly significant issue in cybercrime. To overcome the scarcity of labeled phishing data, we employ large lan... 详细信息
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Improving Messenger Phishing Detection Using Heterogeneous Phishing Data
Improving Messenger Phishing Detection Using Heterogeneous P...
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2025 International Conference on Electronics, Information, and Communication, ICEIC 2025
作者: Oh, Seokjin Noh, Keonwoong Kim, Sunyub An, Dohyung Jung, Woohwan Hanyang University Dept. of Applied Artificial Intelligence Seoul Korea Republic of Hanyang University Dept. of Computer Science Ansan Korea Republic of
Recently, as messenger phishing has been occurring more frequently, the need for its detection has increased;however, datasets for messenger phishing detection are publicly unavailable. In this paper, we address the d... 详细信息
来源: 评论