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检索条件"机构=Department of Computer Science and Engineering in AI & ML"
5015 条 记 录,以下是1-10 订阅
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Question classification task based on deep learning models with self-attention mechanism
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Multimedia Tools and Applications 2025年 第10期84卷 7777-7806页
作者: Mondal, Subhash Barman, Manas Nag, Amitava Computer Science and Engineering Central Institute of Technology Kokrajhar Assam Kokrajhar India Computer Science and Engineering [AI & ML Dayananda Sagar University Karnataka Bengaluru India
Question classification (QC) is a process that involves classifying questions based on their type to enable systems to provide accurate responses by matching the question type with relevant information. To understand ... 详细信息
来源: 评论
CAml: Cryptographic-Based Cloud Security for Healthcare Data with Machine Learning Technique
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Recent Patents on engineering 2025年 第2期19卷 26-40页
作者: M.H, Chaithra Vagdevi, S. Department of Computer Science and Engineering REVA University & Research Scholar Affiliated to Visvesvaraya Technological University Karnataka Belagavi India Department of AI & ML City Engineering College Karnataka Bangalore India
Background: The Cloud model is one of the most realistic frameworks with a vast range of social networking interactions. In medical data, security is a major constraint as it incorporates information about the patient... 详细信息
来源: 评论
Meta-Learning-Based Multimodal Fake News Detection  5th
Meta-Learning-Based Multimodal Fake News Detection
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5th International Conference on Computing and Network Communications, CoCoNet 2023
作者: Varun, M.S. Bhattacharjee, Ishaan Venkatesha, Pratheek Karike Sathvik, A. Pramath, S. Das, Bhaskarjyoti Department of Computer Science and Engineering PES University Karnataka Bengaluru India Department of Computer Science and Engineering in AI and ML PES University Karnataka Bengaluru India
In the contemporary digital era, spreading false information via social media and Internet platforms poses a significant challenge. Not only the data has become increasingly multimodal, lack of sufficient labeled data... 详细信息
来源: 评论
Meta-learning Assisted Graph Representation Learning for Downstream Learning Tasks  5th
Meta-learning Assisted Graph Representation Learning for Do...
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5th International Conference on Computing and Network Communications, CoCoNet 2023
作者: Bhat, Nischal R. Kulkarni, Prerana Sanjay Menon, Ananya Meda, Smruthika S. Das, Bhaskarjyoti Department of Computer Science and Engineering PES University Karnataka Bengaluru India Department of Computer Science and Engineering in AI & ML PES University Karnataka Bengaluru India
The Graph Transformer Network (GTN) is a state-of-the-art solution for graph representation learning, which utilizes the transformer architecture to capture attention and long-range dependencies in a non-euclidean dat... 详细信息
来源: 评论
Diffusion models for 3D generation: A survey
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Computational Visual Media 2025年 第1期11卷 1-28页
作者: Chen Wang Hao-Yang Peng Ying-Tian Liu Jiatao Gu Shi-Min Hu Department of Computer and Information Science University of PennsylvaniaPhiladelphiaPennsylvania 19104USA Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China Machine Learning Research Apple AI/MLNew YorkUSA.E-mail:jiatao@***
Denoising diffusion models have demonstrated tremendous success in modeling data distributions and synthesizing high-quality *** the 2D image domain,they have become the state-of-the-art and are capable of generating ... 详细信息
来源: 评论
Deep Learning based air Quality Forecasting using Satellite Data  6
Deep Learning based Air Quality Forecasting using Satellite ...
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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025
作者: Sree, K. Navya Reddy, Mancharla Rakesh Saraswathi, S. Department of Computer Science and Engineering Specialization with AI & ML Sathyabama Institute of Science and Technology Chennai India Department Computer science and engineering Sathyabama Institute of Science and Technology Chennai India
air pollution is a significant threat to human health and the environment. Accurate air quality forecasting is essential for effective mitigation strategies, including public health advisories, emission control measur... 详细信息
来源: 评论
A Novel Dish Recognition Method Using Deep Learning  6th
A Novel Dish Recognition Method Using Deep Learning
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6th International Conference on Communications and Cyber-Physical engineering, ICCCE 2023
作者: Krishna, J. Tejaswini, S. Viswa Sai Reddy, N. Susmitha, S. Sohail, S. Prasanna, G. Department of AI&ML AITS Rajampet India Department of Computer Science and Engineering AITS Rajampet India
Understanding digital media dishes is a fascinating issue, but it also involves a lot of challenge. The dish's complicated ingredient list presents a hurdle. Due to the growth of deep learning, a number of efficie... 详细信息
来源: 评论
Understanding the Psychological Needs at Play in Disinformation  1
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4th International Conference on Smart Systems: Innovations in Computing, SSIC 2023
作者: Khattar, Kaveesh Das, Bhaskarjyoti Department of Computer Science and Engineering PES University Karnataka Bengaluru India Department of Computer Science and Engineering in AI & ML PES University Karnataka Bengaluru India
The work described in this paper explores the intersection of computer science, linguistics, and psychology in the realm of disinformation on social media. By analyzing textual content on Twitter, specifically propaga... 详细信息
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Power synchronization: taming massive diversified serverless functions under power constraints
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science China(Information sciences) 2025年 第3期68卷 47-65页
作者: Du LIU Lu ZHANG Yechen XU Xinkai WANG Lingyu SUN Yifei PU Xiaofeng HOU Chao LI Minyi GUO Department of Computer Science and Engineering Shanghai Jiao Tong University AI Chip Center for Emerging Smart Systems The Hong Kong University of Science and Technology
Carbon neutrality has become an important design objective worldwide. However, the on-going shift to cloud-naive era does not necessarily mean energy efficiency. From the perspective of power management, co-hosted ser... 详细信息
来源: 评论
Comparative research on block design-based protocol and blowfish for secured key generation and data sharing on cloud
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Soft Computing 2024年 第23期28卷 13701-13713页
作者: Hombal, Uma Rangapura Basavaraju, Dayananda Shinde, Ashwini S. Department of Computer Science and Engineering KSIT Bengaluru India Department of Computer Science and Engineering MSRIT Bengaluru India Department of CSE-AI Nutan College of Engineering and Research Pune India
Confidentiality of maintaining the Electronic Health Records of patients is a major concern to both the patient and Doctor. Sharing the data on cloud is one of the most efficient technology infrastructures with extens... 详细信息
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