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检索条件"机构=Computer Engineering and Computer Science"
583377 条 记 录,以下是4711-4720 订阅
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Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process  27th
Deep Evidential Active Learning with Uncertainty-Aware Dete...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Zhou, Yuxian Yue, Xiaodong Chen, Yufei Xie, Shaorong School of Computer Engineering and Science Shanghai University Shanghai China Artificial Intelligence Institute Shanghai University Shanghai China College of Electronic and Information Engineering Tongji University Shanghai China
Deep learning method requires a substantial amount of labeled data to achieve the state-of-the-art performance. However, annotating a large volume of data is often costly and impractical. Active Learning is a approach... 详细信息
来源: 评论
Iterative Reconstruction for Multimodal Neutron Tomography
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IEEE Transactions on Nuclear science 2025年 第5期72卷 1686-1697页
作者: Gregor, Jens Heath, Matthew R. Deller, Timothy Blackston, Matthew A. Hausladen, Paul The University of Tennessee Department of Electrical Engineering and Computer Science KnoxvilleTN37996 United States Oak Ridge National Laboratory Oak RidgeTN37831 United States Leidos Oak RidgeTN37830 United States
We describe a unified framework for model-based iterative 3-D reconstruction of multimodal neutron transmission, hydrogen-scatter, and induced-fission images from low resolution data recorded using 14.1-MeV neutrons a... 详细信息
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A Comparative Study of GNNs and Rule-Based Methods for Synthetic Social Network Generation
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IEEE Access 2025年 13卷 32198-32210页
作者: Davies, Alex O. Ajmeri, Nirav S. Filho, Telmo De Menezes E. Silva University of Bristol School of Computer Science BristolBS8 1UB United Kingdom University of Bristol School of Engineering Mathematics and Technology BristolBS8 1QU United Kingdom
Social network data, and web-graph data in general, sees great amounts of research and is widely used commercially. Due to privacy or other concerns it often cannot be shared verbatim. Synthetic counterparts to such d... 详细信息
来源: 评论
Efficiency Evaluation of a Combining Compact 1D CNN and Signal Filtering Prototype Algorithm for Vibration Signal Classification  4
Efficiency Evaluation of a Combining Compact 1D CNN and Sign...
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4th International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2025
作者: Krinsukont, Thosapon Sirithanapipat, Taweedej National Science and Technology Development Agency National Electronics and Computer Technology Center Pathumthani Thailand Kasetsart University Department of Mechanical Engineering Bangkok Thailand
This paper presents an experiment and results of the modified CNN algorithm, it was developed by combining a compact 1D convolution neural network with a tuned signal filter (low-pass filter in this experiment). The a... 详细信息
来源: 评论
Attention-Based Multi-Scale Fusion for Brain Tumor Classification with Explainable AI
Attention-Based Multi-Scale Fusion for Brain Tumor Classific...
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International Conference on Electrical, computer and Communication engineering (ECCE)
作者: Md. Asraful Sharker Nirob Prayma Bishshash Tania Khatun Shayla Sharmin Md Zahid Hasan Mohammad Shamsul Arefin Department of Computer Science & Engineering Daffodil International University Dhaka Bangladesh Division of Computer Science and Engineering Louisiana State University Baton Rouge Louisiana USA Department of Computer Science & Engineering Chittagong University of Engineering and Technology Chittagong Bangladesh
Accurate classification of brain tumors from MRI scans is crucial for effective diagnosis and treatment planning in neuro-oncology. This study presents a comprehensive framework leveraging advanced deep-learning techn... 详细信息
来源: 评论
Streamlining Financial Predictions: A Web Application for Stock, Cryptocurrency, and Market Sentiment Analysis
Streamlining Financial Predictions: A Web Application for St...
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Sentiment Analysis and Deep Learning (ICSADL), International Conference on
作者: Chettiyar Vani Vivekanand P. Kumar A. Amizhthini Computer Science and Engineering Rajalakshmi Engineering College Chennai India
Among the high-degree lines of study in this area, one of the most interesting ones is stock price prediction, particularly in the context of machine learning and time series forecasting models. The traditional past o... 详细信息
来源: 评论
Neural network-based inversion of NMR dispersion profiles for enhanced analysis of food systems
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Neural Computing and Applications 2025年 第5期37卷 3957-3972页
作者: Spinelli, Giovanni Vito Evangelista, Davide Hu, Liwei Zama, Fabiana Department of Mathematics University of Bologna Piazza di Porta S. Donato 5 BO Bologna40126 Italy Department of Computer Science and Engineering University of Bologna Mura Anteo Zamboni 7 BO Bologna40126 Italy
Fast Field-Cycling Nuclear Magnetic Resonance (FFC-NMR) relaxometry is a powerful non-destructive technique used to study molecular dynamics and structures in various systems, including food products. This study intro... 详细信息
来源: 评论
Extracting Tuple-Based Service Demands with Large Language Models for Automated Service Composition  21st
Extracting Tuple-Based Service Demands with Large Language ...
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21st International Conference on Services Computing, SCC 2024, Held as Part of the Services Conference Federation, SCF 2024
作者: Hsu, Chih-Jung Luo, Yu-Xiang Mao, Yi-Chen Wang, Chien-Min Syu, Yang Institute of Information Science Academia Sinica Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Department of Information Science National Taipei University of Education Taipei Taiwan
Existing Automated Service Composition (ASC) approaches typically require inputs to be in a designated form. These, namely tuples, pose challenges due to the significant divergence from the most commonly used and stra... 详细信息
来源: 评论
Improving Robotic Arms Through Natural Language Processing, computer Vision, and Edge Computing  3
Improving Robotic Arms Through Natural Language Processing, ...
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3rd International Conference on Mechatronics, Control and Robotics, ICMCR 2025
作者: Sikorski, Pascal Yu, Kaleb Billadeau, Lucy Esposito, Flavio Aliakbarpour, Hadi Babaias, Madi Saint Louis University Computer Science Department Saint Louis United States Saint Louis University Aerospace & Mechanical Engineering Department Saint Louis United States Saint Louis University Computer Science Department Saint Louis United States Saint Louis University Computer Science Department Saint Louis United States Saint Louis University Aerospace & Mechanical Engineering Department Saint Louis United States
This paper introduces a prototype for a new approach to assistive robotics, integrating edge computing with Natural Language Processing (NLP) and computer vision to enhance the interaction between humans and robotic s... 详细信息
来源: 评论
Session and energy forecasting for electric vehicle charging station using custom weighted ensemble machine learning
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Results in engineering 2025年 26卷
作者: Akshayaa, R Nagha S A, Sajidha R, Radha School of Computer Science and Engineering Vellore Institute of Technology Chennai India
The rapid adoption of electric vehicles (EVs) presents a significant challenge for EV charging stations in efficiently managing and allocating energy. This study develops an advanced ensemble learning framework to pre... 详细信息
来源: 评论