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检索条件"机构=Dept. of Data Science and Computer Applications"
1750 条 记 录,以下是51-60 订阅
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An Evolutionary Algorithm for the Travelling Sales Man problem
An Evolutionary Algorithm for the Travelling Sales Man probl...
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Electronics and Renewable Systems (ICEARS), International Conference on
作者: Shaik Mohammad Waseem Jeshwanth N L Lingesh A Matta Jayanth Bhargavi C H Batini Dhanwanth Dept. of Computer Science and Engineering Panimalar Institute of Technology (Anna University) Chennai India Dept. of Artificial Intelligence and Data Science Panimalar Institute of Technology (Anna University) Chennai India Dept. of Computer Science and Engineering Sai Spurthi Institute of Technology India Dept. of AI Engineering Jönköping University Jönköping Sweden
This study explores the use of Genetic Algorithms (GA) to solve the NP-hard combinatorial optimization problem known as the Travelling Salesman Problem (TSP). The suggested GA, called GA-P, performs better than conven... 详细信息
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BN-Pool: a Bayesian Nonparametric Approach to Graph Pooling
arXiv
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arXiv 2025年
作者: Castellana, Daniele Bianchi, Filippo Maria Dept. of Statistics Computer Science and Applications Università degli Studi di Firenze Italy Dept. of Mathematics and Statistics UiT the Arctic University of Norway Norway NORCE Norwegian Research Centre AS Norway
We introduce BN-Pool, the first clustering-based pooling method for Graph Neural Networks (GNNs) that adaptively determines the number of supernodes in a coarsened graph. By leveraging a Bayesian non-parametric framew... 详细信息
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Role of IoT in Smart Cities: A Review, applications, Open Challenges and Solutions
Role of IoT in Smart Cities: A Review, Applications, Open Ch...
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Electronics and Renewable Systems (ICEARS), International Conference on
作者: Kolla Vivek Gurrala Swetha V T Ram Pavan Kumar M Anusuri Krishna Veni Neti Praveen Masthan Rao Kale Dept. of CSE QIS College of Engineering & Technology (A) Ongole Andhra Pradesh India Dept. of CSE Malla Reddy College of Engineering and Technology (A) Telangana India Dept. of Computer Science Kakaraparti Bhavanarayana College Vijayawada Andhra Pradesh India Dept. of Computer Science & Engineering – Data Science Madanapalle Institute of Technology & Science Madanapalle Andhra Pradesh India Dept. of Computer Science and Design SRKR Engineering College Bhimavaram Andhra Pradesh India Dept. of CSE Pace Institute of Technology and Sciences (A) Ongole Andhra Pradesh India
Smart cities have emerged as a response to the fast expansion of metropolitan areas; these places strive to improve the lives of their residents while simultaneously promoting environmentally responsible growth. To ma... 详细信息
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Predicting Lung Cancer with Artificial Neural Network: Analyzing Performance and Feature Importance
Predicting Lung Cancer with Artificial Neural Network: Analy...
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Cognitive Computing in Engineering, Communications, sciences and Biomedical Health Informatics (IC3ECSBHI), International Conference on
作者: Vatsal Mehta Varun M Ashwini Kodipalli Roshan Joy Martis Shridhar B. Devamane Ushasree. A Dept. of AI & Data Science Global Academy of Technology Bangalore Karnataka India Dept. of Electronics & Communication Engineering Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Manipal India Department of Computer Science School of Computing Mysuru Dept. of Computer Science & Engineering Gokaraju Lailavathi Engineering College Hyderabad India
Lung cancer is the primary cause of cancer-related deaths globally. This cancer is majorly observed in smokers, increasing air pollution has also begun to affect non-smokers. Research indicates that exposure to pollut... 详细信息
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Simulating Mobile Robot Vision: An Analysis of RGB-D Versus RGB-Based Distance Accuracy and CPU Optimization
Simulating Mobile Robot Vision: An Analysis of RGB-D Versus ...
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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
作者: Minseok Kong Jiho Park Daye Lee Nikolaos Kourtzanidis Jungmin So Dept. Computer Science and Engineering Sogang University Seoul South Korea Dept. Artificial Intelligence Dongguk University Seoul South Korea Dept. Data Science Seoul National University Seoul South Korea Cyberworks Robotics Toronto Canada
From the perspective of mobile robot vision, to facilitate secure and seamless interactions between the robot and its environment, it is paramount to attain precise and metic-ulous distance estimation between the robo... 详细信息
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Supply Chain 4.0: Driving Operational Efficiency, Resilience, and Cybersecurity Using Advanced Technologies
Supply Chain 4.0: Driving Operational Efficiency, Resilience...
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Computational Intelligence Approaches and applications (ICCIAA), International Conference on
作者: Bilal Ibrahim Sowan Saad Zighan Ahmad Altarawneh Dept. of Bus. Intell. & Data Analytics University of Petra Amman Jordan Dept. of Management and Marketing Qatar University Doha Qatar Dept. of Computer Science Brunel University of London London UK
Supply Chain Industry 4.0 denotes the transformative evolution of global supply chain systems, integrating advanced digital technologies with complex interconnected networks. It enhances operational efficiency, agilit... 详细信息
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Leveraging Frozen Foundation Models and Multimodal Fusion for BEV Segmentation and Occupancy Prediction
IEEE Open Journal of Vehicular Technology
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IEEE Open Journal of Vehicular Technology 2025年 6卷 1241-1261页
作者: Hayes, Seamie Sistu, Ganesh Eising, Ciaran University of Limerick Dept. of Electronic and Computer Engineering Castletroy Co. Limerick V94 T9PX Ireland University of Limerick SFI CRT Foundations in Data Science Castletroy Co. Limerick V94 T9PX Ireland Research Centre Castletroy Co. Limerick V94 T9PX Ireland
In Bird's Eye View perception, significant emphasis is placed on deploying well-performing, convoluted model architectures and leveraging as many sensor modalities as possible to reach maximal performance. This pa... 详细信息
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Predicting Customer Purchase Intent Using Logistic Regression: A data-Driven Approach
Predicting Customer Purchase Intent Using Logistic Regressio...
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Machine Learning and Autonomous Systems (ICMLAS), International Conference on
作者: C. Rajarajachozhan G. Karthika A. Rajakrishnammal M. Mano P. Nithish Kumar E. Jayahari Dept. of Electronics and Communication Engineering Saveetha Engineering College Chennai Tamil Nadu Dept. of Artificial Intelligence and Data Science Saveetha Engineering College Chennai Tamil Nadu Dept. of Computer Science and Engineering Saveetha Engineering College Chennai Tamil Nadu
Predicting customer purchase intent is crucial for modern businesses in order to improve engagement, refine marketing strategies, and increase revenue. Conventional rule-based systems encounter difficulties with dynam... 详细信息
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A Machine Learning and data Analytics Approach to Patient Risk Stratification
A Machine Learning and Data Analytics Approach to Patient Ri...
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data science, Agents & Artificial Intelligence (ICDSAAI), International Conference on
作者: Veeramalai Sankaradass V.K Manindra Manish Rajesh Anandhan Ramprakash Velmurugan Sabarinathan Sakthivel Dept. of Computer Science and Engineering Chennai Institute of Technology Chennai India Dhanalakshmi Srinivasan Institute of Medical Sciences and Hospital Perambalur India Dept. of Artificial Intelligence and Data Science Chennai Institute of Technology Chennai India
In this paper, we introduce a robust machine learning (ML) and data analytic solution for risk stratification of patients to promote clinical decision support systems (CDSS) that provide enhanced protection of the pat... 详细信息
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Diversity Seeking Techniques for Red-Teaming Large Language Models
Diversity Seeking Techniques for Red-Teaming Large Language ...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Seokhan Lee Bonhwa Ku Hanseok Ko Dept. Computer Science and Engineering Korea University Seoul Republic of Korea Machine Learning Big Data Institute Korea University Seoul Republic of Korea Dept. Electrical and Computer Engineering Korea University Seoul Republic of Korea
In this paper, we present new techniques for increasing the diversity of red-teaming prompts generated by automated machine learning-based methods, thereby enabling the discovery of more vulnerabilities in large langu... 详细信息
来源: 评论