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检索条件"机构=Computer Engineering and Computer Science"
588205 条 记 录,以下是4851-4860 订阅
Research on Road Damage Segmentation Algorithm based on Improved U-Shaped Network  1
Research on Road Damage Segmentation Algorithm based on Impr...
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1st International Conference on Intelligent Systems and Computational Networks, ICISCN 2025
作者: Wang, Shoujin Zhang, Zimeng Guo, Song Shenyang Jianzhu University School of Computer Science and Engineering Shenyang China
Roads are the foundation of national transportation, and the pavement will inevitably be damaged after long-term use, so it is essential to separate the damage and repair it. However, due to the unclear pictures taken... 详细信息
来源: 评论
Optimizing Cloud Computing Energy Efficiency with a Grasshopper-Inspired Technique for Virtual Machine Migration
Optimizing Cloud Computing Energy Efficiency with a Grasshop...
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2024 International Conference on Advancements in Power, Communication and Intelligent Systems, APCI 2024
作者: Singh, Jaspreet Walia, Navpreet Kaur Chandigarh University Department of Computer Science & Engineering Mohali India
This research paper presents a novel approach using the grasshopper algorithm to improve the energy efficiency of virtual machine (VM) migration in cloud computing. This methodology reframes resource allocation techni... 详细信息
来源: 评论
Analysis of Epileptic Seizure Detection Using Deep Learning Algorithms  3
Analysis of Epileptic Seizure Detection Using Deep Learning ...
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3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024
作者: Sonia Devi, V. Pallavi, R. School Of Computer Science And Engineering Presidency University Bengaluru India
Epileptic seizures impact a patient's physical function and can cause irreversible damage to the brain. Timely detection of these seizures is crucial for administering appropriate antiepileptic treatment in the me... 详细信息
来源: 评论
Spectral Reconstruction via Dual Cross-Scanning and Cross-Attention Mechanisms  14
Spectral Reconstruction via Dual Cross-Scanning and Cross-At...
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14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2024
作者: Lin, Mingying Mo, Ziqian Zhang, Hongtao Fu, Xiyou Xu, Meng College of Computer Science and Software Engineering Shenzhen University China
Hyperspectral images (HSIs) provide rich spectral information, but acquiring high-resolution data is costly and challenging, making spectral super-resolution essential. Inspired by the near-linear efficiency of state ... 详细信息
来源: 评论
Predicting Stress, Anxiety, and Depression from Social Media Comments: A Holistic Multi-Modal Deep Learning and NLP Framework  1
Predicting Stress, Anxiety, and Depression from Social Media...
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1st International Conference on Software, Systems and Information Technology, SSITCON 2024
作者: Singh, Kulvinder Kumari, Akanksha Sharma, Nakul Chandigarh University Department of Computer Science and Engineering Mohali India
In the current digital era, millions of people are affected by increased levels of stress, anxiety, and desperation making mental health a critical worldwide concern. Proactive approaches to early detection of these i... 详细信息
来源: 评论
Deep Learning-Based Classification of Agricultural Soil Textures for Enhanced Crop Productivity
Deep Learning-Based Classification of Agricultural Soil Text...
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International Conference on Computing and Machine Learning, CML 2024
作者: Jayashree, G. Dharshini, S. Madhu Priya Lokesh, D. Kumar, Mathan Santhiya, C. Department of Computer Science and Engineering Thiagarajar College of Engineering Thiruparankundram TamilNadu Madurai India
Accurate soil analysis is crucial for optimizing crop cultivation and management since soil quality and texture are so important in the agricultural industry. We have incorporated deep learning (DL) into agriculture f... 详细信息
来源: 评论
Broad learning system based on the quantized minimum error entropy criterion
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science China(Information sciences) 2022年 第12期65卷 204-219页
作者: Simin ZHANG Zhulin LIU C.L.Philip CHEN School of Computer Science and Engineering South China University of Technology Pazhou Lab
The broad learning system(BLS) based on the minimum mean square error(MMSE) criterion can achieve outstanding performance without spending too much time in various machine learning ***, when data are polluted by non-G... 详细信息
来源: 评论
Detection of Autism Spectrum Disorder Using Optimized Extreme Learning Machine Technique  5th
Detection of Autism Spectrum Disorder Using Optimized Extrem...
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5th EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024
作者: Chintalapati, Phaneendra Varma Babu, Gurujukota Ramesh Kumar, Kode Satish Chintha, Venkata Ramana Sree, Pokkuluri Kiran Anoch, Bellamgubba Department of Computer Science and Engineering Shri Vishnu Engineering College for Women Bhimavaram India
Numerous disorders that cannot be diagnosed medically have emerged throughout the world, including Autism Spectrum Disorder (ASD). It impacts on the numerous aspects of behavior, such as social and language abilities ... 详细信息
来源: 评论
FFDM - GNN:A Financial Fraud Detection Model using Graph Neural Network  1
FFDM - GNN:A Financial Fraud Detection Model using Graph Neu...
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1st International Conference on Computing, sciences and Communications, ICCSC 2024
作者: Kesharwani, Abhishek Shukla, Prashant United University Dept of Computer Science and Engineering Prayagraj India
Financial Fraud Detection Model (FFDM) is used to develop an advanced detection framework utilizing Graph Neural Networks (GNNs) to accurately identify fraudulent transactions within the transactions. Traditional frau... 详细信息
来源: 评论
An Automatic Prediction of Elevator Capacity Using ML to Customize the Total Capacity  5
An Automatic Prediction of Elevator Capacity Using ML to Cus...
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5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024
作者: Talwandi, Navjot Singh Tripathi, Anubhav Khare, Shanu Chandigarh University Dept of Computer Science Engineering Punjab India
Elevators serve as vital components in modern buildings, yet optimizing passengers' waiting time remains a crucial challenge. This study proposes a machine learning-based approach to enhance the efficiency of elev... 详细信息
来源: 评论