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检索条件"机构=Department of Computer Science and Engineering Technology"
166389 条 记 录,以下是71-80 订阅
排序:
Hybrid RMDL-CNN for speech recognition from unclear speech signal
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International Journal of Speech technology 2025年 第1期28卷 195-217页
作者: Bhargava, Raja Arivazhagan, N. Babu, Kunchala Suresh Research Scholar Department of Computer Science and Engineering SRM Institute of Science and Technology Kattankulathur Chennai India Department of Computational Intelligence SRM Institute of Science and Technology Kattankulathur Chennai India Department of Computer Science and Engineering Potti Sriramulu Chaluvadi Mallikarjuna Rao college of Engineering and Technology Andhra Pradesh Vijayawada India
ASR is an effectual approach, which converts human speech into computer actions or text format. It involves extracting and determining the noise feature, the audio model, and the language model. The extraction and det... 详细信息
来源: 评论
Weighted rank aggregation based on ranker accuracies for feature selection
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Soft Computing 2025年 第4期29卷 1981-2001页
作者: Abdolrazzagh-Nezhad, Majid Kherad, Mahdi Faculty of Engineering Department of Computer Engineering Bozorgmehr University of Qaenat Qaen Iran Department of Computer Science Faculty of Computer and Industrial Engineering Birjand University of Technology Birjand Iran Faculty of Engineering Department of Computer Engineering University of Qom Qom Iran
Rank aggregation is the combination of several ranked lists from a set of candidates to achieve a better ranking by combining information from different sources. In feature selection problem, due to the heterogeneity ... 详细信息
来源: 评论
ElHBiAt: Electra pre-training network Hybrid of BiLSTM, the Attention layer to Aspect-Based Sentiment Analysis
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IEEE Access 2025年 13卷 88342-88370页
作者: Ghanee, Amin Jahanbin, Kia Yamchi, Abolfazl Razzaghi Shahid Beheshti University Department of Computer Engineering Tehran Iran Yazd University Department of Computer Engineering Yazd Iran Shiraz University Department of Computer Science Engineering and Information Technology Shiraz Iran
Aspect-based sentiment analysis is one of the famous and practical subjects in natural language processing. Traditional sentiment analysis assigns a polarity to the whole text or document and does not consider the asp... 详细信息
来源: 评论
VoteDroid: a new ensemble voting classifier for malware detection based on fine-tuned deep learning models
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Multimedia Tools and Applications 2025年 第12期84卷 10923-10944页
作者: Bakır, Halit Faculty of Engineering and Natural Sciences Department of Computer Engineering Sivas University of Science and Technology Sivas Turkey
In this work, VoteDroid a novel fine-tuned deep learning models-based ensemble voting classifier has been proposed for detecting malicious behavior in Android applications. To this end, we proposed adopting the random... 详细信息
来源: 评论
Pentago SnW:An Improved Spray and Wait Protocol for Delay Tolerant Wireless Sensor Networks
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China Communications 2025年 第3期22卷 104-114页
作者: Idris Afzal Shah Mushtaq Ahmed Raghavendra Singh Department of Computer Science and Engineering Malaviya National Institute of TechnologyJaipur302017India
Delay tolerant wireless sensor networks(DTWSN)is a class of wireless network that finds its deployment in those application scenarios which demand for high packet delivery ratio while maintaining minimal overhead in o... 详细信息
来源: 评论
SMART LAVATORY SOLUTION: INTEGRATING IOT AND DEEP LEARNING MODELS FOR ENHANCED HYGIENE
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Scalable Computing 2025年 第3期26卷 1057-1070页
作者: Patel, Jigna Shah, Aeshwi Rushali, Chaudhari Patel, Jitali Ukani, Vijay Department of Computer Science and Engineering Institute of Technology Nirma University Gujarat Ahmedabad India
In the current era of smart technology, integrating the Internet of Things (IoT) with Artificial Intelligence has revolutionized several fields, including public health and sanitation. The smart lavatory solution prop... 详细信息
来源: 评论
Analyzing Hierarchical Relationships and Quality of Embedding in Latent Space
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第4期6卷 843-858页
作者: Chatterjee, Ankita Mukherjee, Jayanta Das, Partha Pratim Indian Institute of Technology Kharagpur Department of Computer Science and Engineering Kharagpur721302 India
Existing learning models partition the generated representations using hyperplanes which form well defined groups of similar embeddings that is uniquely mapped to a particular class. However, in practical applications... 详细信息
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Network Security and Cryptography: Threats, Obstacles and Solutions-A Bibliometric Analysis
Recent Advances in Computer Science and Communications
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Recent Advances in computer science and Communications 2025年 第2期18卷 83-101页
作者: Singh, Purushottam Dutta, Sandip Pranav, Prashant Department of Computer Science and Engineering Birla Institute of Technology Mesra Ranchi835215 India
Background: In the wake of escalating cyber threats and the indispensability of ro-bust network security mechanisms, it becomes crucial to understand the evolving landscape of cryptographic research. Recognizing the s... 详细信息
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IWM-LSTM encoder for abstractive text summarization
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Multimedia Tools and Applications 2025年 第9期84卷 5883-5904页
作者: Gangundi, Ravindra Sridhar, Rajeswari Department of Computer Science and Engineering National Institute of Technology Tamilnadu Tiruchirappalli620015 India
Sequence-to-sequence models are fundamental building blocks for generating abstractive text summaries, which can produce precise and coherent summaries. Recently proposed, different text summarization models aimed to ... 详细信息
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Attention enabled viewport selection with graph convolution for omnidirectional visual quality assessment
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Multimedia Tools and Applications 2025年 第14期84卷 12925-12948页
作者: C, Nandhini M, Brindha Department of Computer Science and Engineering National Institute of Technology TamilNadu Tiruchirappalli620015 India
Omnidirectional images provide an immersive viewing experience in a Virtual Reality (VR) environment, surpassing the limitations of traditional 2D media beyond the conventional screen. This VR technology allows users ... 详细信息
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