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检索条件"机构=Computer Science and Technology in Institute of Computing Technology"
222488 条 记 录,以下是651-660 订阅
Fuzzing:Progress,Challenges,and Perspectives
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computers, Materials & Continua 2024年 第1期78卷 1-29页
作者: Zhenhua Yu Zhengqi Liu Xuya Cong Xiaobo Li Li Yin Institute of Systems Security and Control College of Computer Science and TechnologyXi'an University of Science and TechnologyXi'an710054China School of Mathematics and Information Science Baoji University of Arts and SciencesBaoji721013China Institute of Systems Engineering Macao University of Science and TechnologyTaipaMacaoChina
As one of the most effective techniques for finding software vulnerabilities,fuzzing has become a hot topic in software *** feeds potentially syntactically or semantically malformed test data to a target program to mi... 详细信息
来源: 评论
Autonomous Interactive Correction MLLM for Robust Robotic Manipulation  8
Autonomous Interactive Correction MLLM for Robust Robotic Ma...
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8th Conference on Robot Learning, CoRL 2024
作者: Xiong, Chuyan Shen, Chengyu Li, Xiaoqi Zhou, Kaichen Liu, Jeremy Wang, Ruiping Dong, Hao School of Computer Science Peking University China Institute of Computing Technology Chinese Academy of Sciences China
The ability to reflect on and correct failures is crucial for robotic systems to interact stably with real-life objects. Observing the generalization and reasoning capabilities of Multimodal Large Language Models (MLL... 详细信息
来源: 评论
Few-shot Link Prediction on Hyper-relational Facts  30
Few-shot Link Prediction on Hyper-relational Facts
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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Wei, Jiyao Guan, Saiping Jin, Xiaolong Guo, Jiafeng Cheng, Xueqi School of Computer Science and Technology University of Chinese Academy of Sciences China Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China
Hyper-relational facts, which consist of a primary triple (head entity, relation, tail entity) and auxiliary attribute-value pairs, are widely present in real-world Knowledge Graphs (KGs). Link Prediction on Hyper-rel... 详细信息
来源: 评论
Architectural framework for multiplayer cooperative cloud gaming to optimise quality of service
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International Journal of Networking and Virtual Organisations 2024年 第2期30卷 174-205页
作者: Srilakshmi, Nimmagadda Kannan, Naresh School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore India
The gaming industry is getting more attraction from cloud services providing gaming applications for cooperative multiplayer gaming. Real-time services like cloud gaming are possible by performing necessary process-in... 详细信息
来源: 评论
A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models  30
A Self-verified Method for Exploring Simile Knowledge from P...
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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Ma, Longxuan Ke, Changxin Zhou, Shuhan Sun, Churui Zhang, Weinan Liu, Ting Research Center for Social Computing and Information Retrieval School of Computer Science Harbin Institute of Technology China
Simile tasks are challenging in natural language processing (NLP) because models require adequate world knowledge to produce predictions. In recent years, pre-trained language models (PLMs) have succeeded in NLP since... 详细信息
来源: 评论
A hybrid machine learning approach for enhanced anomaly detection in drinking water quality
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International Journal of Environmental Studies 2024年 第2期81卷 661-674页
作者: Kalaivanan, K. Vellingiri, J. School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore India
Machine learning has become important for anomaly detection in water quality prediction. Data anomalies are often caused by the difficulties of analysing large amounts of data, both technical and human, but approaches... 详细信息
来源: 评论
Diabetic retinopathy detection by fundus images using fine tuned deep learning model
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Multimedia Tools and Applications 2024年 第39期83卷 86657-86679页
作者: Singh, Satya Prakash Gupta, Pankaj Dung, Rakshita Department of Computer Science & amp Engineering Birla Institute of Technology Ranchi Mesra India
This study employs transfer learning using a fine-tuned pretrained EfficientNetB0 convolutional neural network (CNN) model to accurately detect the various stages of Diabetic Retinopathy. The training process involved... 详细信息
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The potential of augmented reality in Indian rural primary education [STEM Education]
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IEEE Potentials 2024年 第4期43卷 26-31页
作者: Basumatary, Dipali Maity, Ranjan Central Institute of Technology Department of Computer Science and Engineering Assam Kokrajhar783370 India
technology-enhanced learning has the potential to increase educational quality. In this study, we examine the integration of augmented reality (AR) technology in rural primary schools in India. We listed articles asso... 详细信息
来源: 评论
Nested Event Extraction upon Pivot Element Recognition  30
Nested Event Extraction upon Pivot Element Recognition
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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Ren, Weicheng Li, Zixuan Jin, Xiaolong Bai, Long Su, Miao Liu, Yantao Guan, Saiping Guo, Jiafeng Cheng, Xueqi School of Computer Science and Technology University of Chinese Academy of Sciences China Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China
Nested Event Extraction (NEE) aims to extract complex event structures where an event contains other events as its arguments recursively. Nested events involve a kind of Pivot Elements (PEs) that simultaneously act as... 详细信息
来源: 评论
An improved method for classifying depth-based human actions using self-adaptive evolutionary technique
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Journal of Ambient Intelligence and Humanized computing 2024年 第1期15卷 157-173页
作者: Pareek, Preksha Thakkar, Ankit Department of Computer Science and Engineering Institute of Technology Nirma University Gujarat Ahmedabad India
Automatic Human Action Recognition (HAR) using RGB-D (Red, Green, Blue, and Depth) videos captivated a lot of attention in the pattern classification field due to low-cost depth cameras. Feature extraction in action r... 详细信息
来源: 评论