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检索条件"机构=Dept. of Statistics and Data Science Dept. of Computer Science"
26723 条 记 录,以下是51-60 订阅
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Stomach Cancer Prediction and Detection using Deep Learning: A Review  2
Stomach Cancer Prediction and Detection using Deep Learning:...
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2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025
作者: Kaur, Sharandeep Goel, Paurav Kapoor, Nitika Chandigarh University dept. of Computer Science Engineering Mohali India
Stomach cancer, sometimes referred to as gastric cancer, is still one of the most common and widespread deadly disease worldwide offers a significant challenge in oncology due to late detection and high mortality rate... 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
来源: 评论
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
PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis  6
PePR: Performance Per Resource Unit as a Metric to Promote S...
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6th Northern Lights Deep Learning Conference, NLDL 2025
作者: Selvan, Raghavendra Pepin, Bob Igel, Christian Samuel, Gabrielle Dam, Erik B. Dept. of Computer Science University of Copenhagen Copenhagen Denmark Dept. of Global Health King’s College London London United Kingdom
The recent advances in deep learning (DL) have been accelerated by access to large-scale data and compute. These large-scale resources have been used to train progressively larger models which are resource intensive i... 详细信息
来源: 评论
Reinforcement Learning for Adaptive Traffic Signal Control Using Deep Q-Networks  1
Reinforcement Learning for Adaptive Traffic Signal Control U...
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1st International Conference on Sustainable Energy Technologies and Computational Intelligence, SETCOM 2025
作者: Bohra, Asha Rani Selvi, Thamarai Vishal, V. Sunkara, Pawan Sai Sunku, Balaji Jignesh, Bhavsar Nitya New Horizon College of Engineering Dept. of Computer Science and Engineering Karnataka Bengaluru India New Horizon College of Engineering Dept. of Information Science and Engineering Karnataka Bengaluru India
Traffic congestion is a critical issue in urban areas, contributing to increased travel time, fuel consumption, and environmental pollution. Traditional traffic signal control methods, such as fixed-time systems, cann... 详细信息
来源: 评论
Routing and Charge Planning Strategies for Ridesharing EV Fleets  11
Routing and Charge Planning Strategies for Ridesharing EV Fl...
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11th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2025
作者: Singh, Ashutosh Gupta, Arobinda Dept. of Computer Science & Engineering Indian Institute of Technology KharagpurWB-721302 India
Ridesharing systems have become an important part of urban transportation. At the same time, electric vehicle (EV) adoption is also growing at a fast pace as an eco-friendly and sustainable transportation option. To o... 详细信息
来源: 评论
Deep Learning-Driven Cloud Intrusion Detection: Internet of Things and Cloud Networks  1
Deep Learning-Driven Cloud Intrusion Detection: Internet of ...
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1st International Conference on Advances in computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025
作者: Moon, Iffath Tanjim Islam Mondal, Md. Nazrul Rajshahi University of Engineering & Technology Dept. of Computer Science & Engineering Rajshahi6204 Bangladesh
In this paper, we have utilized deep learning approaches to detect cloud intrusion for the Internet of Things (IoT). The emerging growth of IoT and cloud environments has revolutionized many industries by allowing rea... 详细信息
来源: 评论
LiDAR-Based Elderly Fall Detection System for Indoor Environments Using Neural Network Algorithms  4
LiDAR-Based Elderly Fall Detection System for Indoor Environ...
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4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025
作者: Vignesh, Puthucode Ganesh Nithin Kumar, S. Senthil Kumar, T. Jeyakumar, G. Amrita School of Computing Dept. of Computer Science and Engineering Amrita Vishwa Vidyapeetham India
Fall detection systems are critical in elderly care and healthcare monitoring, but traditional camera-based solutions raise significant privacy concerns. This research presents a novel approach utilizing LiDAR (Light ... 详细信息
来源: 评论
Advances in Deep Learning for Tuberculosis Detection in Chest X-Rays: A Review of Diagnostic Accuracy  3
Advances in Deep Learning for Tuberculosis Detection in Ches...
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3rd International Conference on Intelligent data Communication Technologies and Internet of Things, IDCIoT 2025
作者: Jayakumar, K. Muthupandi, G. Dhayanidhi, R. Pavithra, S. Dept. of Computer Science and Engineering Chennai Institute of Technology Tamilnadu Chennai600069 India
Tuberculosis (TB) is one of the leading causes of deaths globally, mainly in low- and middle-income countries. Early and accurate detection is crucial for effective treatment and disease control. In this paper, models... 详细信息
来源: 评论
Quality Assurance for LLM-RAG Systems: Empirical Insights from Tourism Application Testing  18
Quality Assurance for LLM-RAG Systems: Empirical Insights fr...
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18th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2025
作者: Ahmed, Bestoun S. Baader, Ludwig Otto Bayram, Firas Jagstedt, Siri Magnusson, Peter Karlstad University Sweden & American University of Bahrain Dept. Mathematics and Computer Science Bahrain Ludwig Maximilian University Munich Dept. Mathematics Informatics and Statistics Munich Germany Karlstad University Dept. Mathematics and Computer Science Karlstad Sweden Karlstad University CTF Service Research Center Karlstad Sweden
This paper presents a comprehensive framework for testing and evaluating quality characteristics of Large Language Model (LLM) systems enhanced with Retrieval-Augmented Generation (RAG) in tourism applications. Throug... 详细信息
来源: 评论