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检索条件"任意字段=7th International Conference on Machine Learning and Soft Computing, ICMLSC 2023"
787 条 记 录,以下是11-20 订阅
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7th international conference on soft computing: theories and Applications, SoCTA 2023
7th International Conference on Soft Computing: Theories and...
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7th international conference on soft computing: theories and Applications, SoCTA 2023
the proceedings contain 36 papers. the special focus in this conference is on soft computing: theories and Applications. the topics include: Detection of Duplicate Question Pairs by Applying Proposed BoW, TF-IDF, and ...
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7th EAI international conference on Robotics and Networks, ROSENET 2023
7th EAI International Conference on Robotics and Networks, R...
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7th EAI international conference on Robotics and Networks, ROSENET 2023
the proceedings contain 15 papers. the special focus in this conference is on Robotics and Networks. the topics include: KineFormer: Solving the Inverse Modeling Problem of soft Robots Using Transformers;multiple Node...
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Visualization Research on the Market Structure of China's SSE 50 Index Based on the Affinity Propagation machine learning Algorithm  24
Visualization Research on the Market Structure of China's SS...
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8th international conference on machine learning and soft computing, icmlsc 2024
作者: Yu, Fuxiang Wang, Xiaowen Wang, Yakun Business School Hangzhou City University Hangzhou China College of Digital Economics Nanning University Nanning China
With a comprehensive review of relevant literature, data, and theories, this study collects post-pandemic data from the Shanghai Stock Exchange 50 Index. Utilizing the Sparse Inverse Covariance Estimation method (Grap... 详细信息
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RuCIL: Enabling Privacy-Enhanced Edge computing for Federated learning  1
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7th international conference on Cognitive computing (ICCC) Held as Part of the Services conference Federation Meeting (SCF)
作者: Nimsarkar, Sahil Ashish Gupta, Ruchir Raj Ingle, Rajesh Balliram Dr Shyama Prasad Mukherjee Int Inst Informat Tech Naya Raipur India
Federated learning has emerged as a promising approach for collaborative machine learning while preserving data privacy in distributed settings. Despite recent advancements, challenges such as privacy preservation and... 详细信息
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Self-supervised Depth Completion with Adaptive Online Adaptation  23
Self-supervised Depth Completion with Adaptive Online Adapta...
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7th international conference on machine learning and soft computing, icmlsc 2023
作者: Chen, Yang Tan, Yang Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education School of Automation Southeast University Nanjing210096 China
Although depth completion has achieved remarkable performance relying on deep learning in recent years, these models tend to suffer a performance degradation when exposed to new environments. Online adaptation, where ... 详细信息
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learning Analytics in Blended Mode During Covid-19 Pandemic  7
Learning Analytics in Blended Mode During Covid-19 Pandemic
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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023
作者: Tejal, R.K. Kanchana, V. Amrita Vishwa Vidyapeetham Department of Computer Science Mysuru India
Personality and behavior are great factors when considering students' learning strategies. Students tend to utilize their best capacity when the environment around them is comforting and the situation go hand in h... 详细信息
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machine learning Approach in Melanoma Cancer Stage Detection  7
Machine Learning Approach in Melanoma Cancer Stage Detection
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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023
作者: Chitte, Aniruddha Pawar, Aniket Nale, Mukund JSPM's Rscoe Department of Electronics and Telecommunication Pune India
Finding the stage of melanoma cancer is important for cancer research. Because of the lack of awareness of the signs, the number of mortalities has dramatically increased, making early detection of skin cancer essenti... 详细信息
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Model-Driven Quantum Federated learning (QFL)  23
Model-Driven Quantum Federated Learning (QFL)
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7th international conference on the Art, Science, and Engineering of Programming (Programming)
作者: Moin, Armin Badii, Atta Challenger, Moharram Tech Univ Munich Munich Germany Univ Antwerp Antwerp Belgium Univ Reading Reading Berks England Flanders Make Lommel Belgium
Recently, several studies have proposed frameworks for Quantum Federated learning (QFL). For instance, the Google TensorFlow Quantum (TFQ) and TensorFlow Federated (TFF) libraries have been deployed for realizing QFL.... 详细信息
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Cultivating Quadrupedal Robotic Agility: Unveiling Reinforcement learning Dynamics with the Boosted Tree Motif Classifier
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international JOURNAL OF SEMANTIC computing 2025年
作者: Allred, Christopher Pusey, Jason Harper, Mario Utah State Univ USU Dept Comp Sci Logan UT 84322 USA Army Res Lab ARL Adelphi MD USA
this study examines the Boosted Tree Motif Classifier (BTMC), which leverages gradient boosting for the precise classification of intricate motion patterns in quadrupedal robots, with a particular emphasis on dynamic ... 详细信息
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Detection of Stress by machine learning in IT Industry  7
Detection of Stress by Machine Learning in IT Industry
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7th international conference on computing Methodologies and Communication, ICCMC 2023
作者: Mohana Priya, D. Hari Haran, S. Budugarla Rohith, B. Hariprasath, M. Jagadeesh Kumar, P. Computer Science and Engineering Sri Eshwar College of Engineering Coimbatore India
the primary goal of our design is to reduce stress among IT professionals by combining graphical technology literacy and image processing techniques. Our system is a continued improvement over the old stress discovery... 详细信息
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