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检索条件"任意字段=4th International Conference on Optimization Learning Algorithms and Applications"
13703 条 记 录,以下是4951-4960 订阅
Exploring optimization Dynamics: Hybrid Approaches Combining Adaptive and Traditional Techniques for Deep learning Models
Exploring Optimization Dynamics: Hybrid Approaches Combining...
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Distributed Computing and Electrical Circuits and Electronics (ICDCECE), IEEE international conference on
作者: Yuvraj Pattanaik Pratigyan Pattanayak Adyasha Dash Subhsharee Darshana Swayam Prakash Pani Bipasha Biswal Smita Mohanty Anmol Amitav Balabantray School of Computer Engineering KIIT (Deemed to be) University Bhubaneswar India
Optimizers are essential in deep learning to minimize error functions and ensure efficient learning. this paper evaluates the performance of prominent optimizers, including SGD, SGD with momentum, RMSprop, AdaGrad, Ad... 详细信息
来源: 评论
Machine learning Methods for Dysgraphia Screening with Online Handwriting Features  4
Machine Learning Methods for Dysgraphia Screening with Onlin...
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4th international conference on Computer and applications, ICCA 2022
作者: Kunhoth, Jayakanth Al Maadeed, Somaya Saleh, Moutaz Akbari, Younus Qatar University Deptartment Computer Science and Engineering Doha Qatar
Dysgraphia, a major learning disorder that primarily interferes with writing skills can hinder the academic track of children unless recognized in the early stage. the diversity in the symptoms, as well as the emergen... 详细信息
来源: 评论
Integrating Big Data, ML, and DL for Predictive Analytics in Healthcare: A Comprehensive Analysis and Hybrid Framework Proposal
Integrating Big Data, ML, and DL for Predictive Analytics in...
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Ubiquitous Computing and Intelligent Information Systems (ICUIS), international conference on
作者: Poonam Kargotra Irfan Ramzan Parray School of Computer Science and Engineering Lovely Professional University Phagwara India
the paper presents a comprehensive in-depth analysis of big data, machine learning (ML), and deep learning (DL) methodologies in predictive healthcare analytics, with a focus on their comparative strengths, research g... 详细信息
来源: 评论
Optimizing Multi-Task learning for Enhanced Performance in Large Language Models
Optimizing Multi-Task Learning for Enhanced Performance in L...
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Electronic Information Engineering and Computer Communication (EIECC), international conference on
作者: Zhen Qi Jiajing Chen Shuo Wang Bingying Liu Hongye Zheng Chihang Wang Northeastern University Boston USA New York University New York USA Purdue University Indianpolis Indianapolis USA Independent Researcher McLean USA The Chinese University of Hon Kong Hong Kong China
this study aims to explore the performance improvement method of large language models based on GPT-4 under the multi-task learning framework and conducts experiments on two tasks: text classification and automatic su... 详细信息
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A Framework for Autonomic Computing for In Situ Imageomics
A Framework for Autonomic Computing for In Situ Imageomics
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4th IEEE international conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
作者: Kline, Jenna Stewart, Christopher Berger-Wolf, Tanya Ramirez, Michelle Stevens, Samuel Babu, Reshma Ramesh Banerji, Namrata Sheets, Alec Balasubramaniam, Sowbaranika Campolongo, Elizabeth thompson, Matthew Stewart, Charles, V Kholiavchenko, Maksim Rubenstein, Daniel, I Van Tiel, Nina Miliko, Jackson Ohio State Univ Columbus OH 43210 USA Rensselaer Polytech Inst Troy NY 12180 USA Princeton Univ Princeton NJ 08544 USA Ecole Polytech Fed Lausanne Lausanne Switzerland Mpala Res Ctr Nanyuki Kenya
In situ imageomics is a new approach to study ecological, biological and evolutionary systems wherein large image and video data sets are captured in the wild and machine learning methods are used to infer biological ... 详细信息
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Diagnose and Analyze Power System Faults Using Machine learning
Diagnose and Analyze Power System Faults Using Machine Learn...
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Current Research in Engineering and Science applications (ICCRESA), international conference on
作者: Muhammed Essa Hameed Mesut Cevik Altinbaş University Turkey Kadir Has University Turkey
the increase in demand for energy increases the complexity of energy systems every day because of the increase in electricity consumption. Complex electrical energy systems consist of many equipment and parts from gen...
来源: 评论
Brain Tumor Detection with YOLOv8
Brain Tumor Detection with YOLOv8
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Intelligent Technologies (CONIT), international conference on
作者: Chetan Mahale Sanchalee Meshram Abhishek Pakhmode Information Technology Pimpri Chinchwad College of Engineering Pune India
Brain tumors are cancer causing cells which when developed inside a person’s brain can cause them life threatening challenges. the major objective of this study is to detect brain tumors in the early stages of the di... 详细信息
来源: 评论
GT-ACGAN: Graph Topology-Based Auxiliary Classifier GAN for Graph Long-Tailed Classification  5th
GT-ACGAN: Graph Topology-Based Auxiliary Classifier GAN for ...
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5th international conference on Neural Computing for Advanced applications (NCAA)
作者: Wu, Tianhao Dong, Minggang Tan, Ruoqi Zhao, Weixiao Xia, Lingfu Guilin Univ Technol Sch Informat Sci & Engn Guilin 541004 Peoples R China Guangxi Key Lab Embedded Technol & Intelligent Sy Guilin 541004 Peoples R China
Long-tailed classification on graphs is ubiquitous yet challenging in many real-world applications. Recently, oversampling approaches have shown promising performance on imbalanced classification tasks. However, most ... 详细信息
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Adopting Deep Reinforcement learning in Edge Caching Strategy
Adopting Deep Reinforcement Learning in Edge Caching Strateg...
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Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), international conference on
作者: Haolin Feng Xinfeng Ye Sathiamoorthy Manoharan School of Computer Science The University of Auckland Auckland New Zealand
the increasing demand for digital content is putting a strain on network infrastructures, prompting a shift towards edge server architecture, which aims to decentralize data processing and reduce content delivery late... 详细信息
来源: 评论
Day-Ahead Reported Capacity optimization and Operation Strategy of Electrical Fused Magnesium Group Furnace in Primary Frequency Regulation
Day-Ahead Reported Capacity Optimization and Operation Strat...
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Power Electronics, Computer applications (ICPECA), IEEE international conference on
作者: Yannan Chang Rao Liu Xiaoyu Zhou Yiwen Sun Haixia Wang Yu Ba Weidong Li School of Electrical Engineering Dalian University of Technology Dalian China Economics and Technology Institute of State Grid Liaoning Electric Power Supply Co. Ltd Shenyang China
For obtaining the maximum benefit, the Electrical Fused Magnesium Group Furnace (EFMGF) participate of power system Frequency Regulation Auxiliary Service (FRAS), need to combine their own operating characteristics to...
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