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检索条件"机构=Computer Technology Institute Department of Computer Engineering and Informatics"
127373 条 记 录,以下是1-10 订阅
排序:
ToSiM-IoT: Towards a Sustainable Optimisation of Machine Learning Tasks in Internet of Things
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IEEE Internet of Things Journal 2025年 第11期12卷 16829-16840页
作者: Kaushal, Ashish Almurshed, Osama Muftah, Asmail Auluck, Nitin Rana, Omer Indian Institute of Technology Department of Computer Science and Engineering Ropar India Cardiff University School of Computer Science and Informatics United Kingdom Azzaytuna University Libya
With the rise of digital infrastructure and Internet of Things (IoT), a substantial amount of data is continuously generated that needs to be processed efficiently. While modern artificial intelligence (AI) approaches... 详细信息
来源: 评论
Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data
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Geodesy and Geodynamics 2025年 第3期16卷 350-368页
作者: Joshi, Anushka Raman, Balasubramanian Mohan, C. Krishna Department of Computer Science and Engineering Indian Institute of Technology Uttarakhand Roorkee India Department of Computer Science and Engineering Indian Institute of Technology Telangana Hyderabad India
The earthquake early warning (EEW) system provides advance notice of potentially damaging ground shaking. In EEW, early estimation of magnitude is crucial for timely rescue operations. A set of thirty-four features is... 详细信息
来源: 评论
MLRT-UNet:An Efficient Multi-Level Relation Transformer Based U-Net for Thyroid Nodule Segmentation
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computer Modeling in engineering & Sciences 2025年 第4期143卷 413-448页
作者: Kaku Haribabu Prasath R Praveen Joe IR Department of Computer Science and Engineering RMK College of Engineering and TechnologyTiruvallur601206India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India
Thyroid nodules,a common disorder in the endocrine system,require accurate segmentation in ultrasound images for effective diagnosis and ***,achieving precise segmentation remains a challenge due to various factors,in... 详细信息
来源: 评论
Modern Machine Learning Solution for Electricity Consumption Management in Smart Buildings
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IEEE engineering Management Review 2025年 第1期53卷 54-62页
作者: Gautam, Sandeep Kumar Shrivastava, Vinayak Udmale, Sandeep S. Singh, Amit Kumar Singh, Sanjay Kumar Department of Computer Science and Engineering Varanasi221005 India Department of Computer Engineering and Information Technology Mumbai400019 India National Institute of Technology Department of Computer Science and Engineering Patna800005 India
Effective management of electricity consumption (EC) in smart buildings (SBs) is crucial for optimizing operational efficiency, cost savings, and ensuring sustainable resource utilization. Accurate EC prediction enabl... 详细信息
来源: 评论
A collision proof energy efficient lightweight hybrid cryptosystem for fog
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International Journal of Information and computer Security 2025年 第3期26卷 179-203页
作者: Kumar, Sandeep Garg, Ritu Department of Computer Engineering National Institute of Technology Kurukshetra India
Fog computing extends cloud capabilities to the network edge, aiding IoT and users. It mitigates cloud issues like latency and reliability. However, fog’s limited resources pose security vulnerabilities like data the... 详细信息
来源: 评论
Blockchain-based knowledge-aware semantic communications for remote driving image transmission
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Digital Communications and Networks 2025年 第2期11卷 317-325页
作者: Yangfei Lin Tutomu Murase Yusheng Ji Wugedele Bao Lei Zhong Jie Li Department of Computer and Network Engineering University of Electro-Communications Information Technology Center Nagoya University National Institute of Informatics(NII) Hohhot Minzu College Toyota Motor Corporation Department of Computer Science and Engineering Shanghai Jiaotong University
Remote driving, an emergent technology enabling remote operations of vehicles, presents a significant challenge in transmitting large volumes of image data to a central server. This requirement outpaces the capacity o... 详细信息
来源: 评论
COVID-19 emergency decision-making using q-rung linear diophantine fuzzy set,differential evolutionary and evidential reasoning techniques
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Applied Mathematics(A Journal of Chinese Universities) 2025年 第1期40卷 182-206页
作者: G Punnam Chander Sujit Das Department of Computer science and Engineering National Institute of TechnologyWarangal 506004India
In this paper,a robust and consistent COVID-19 emergency decision-making approach is proposed based on q-rung linear diophantine fuzzy set(q-RLDFS),differential evolutionary(DE)optimization principles,and evidential r... 详细信息
来源: 评论
Visually enhanced multi-secret sharing scheme with arithmetic modulo, DWT, and particle swarm optimization for Meaningful Shares
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Cluster Computing 2025年 第5期28卷 1-28页
作者: Rawat, Arjun Singh Deshmukh, Maroti Singh, Maheep Department of Computer Science and Engineering National Institute of Technology Uttarakhand Srinagar Garhwal India Department of Computer Science Doon University Dehradun India Department of Computer Science and Engineering National Institute of Technology Delhi India
Traditional multi-secret sharing (MSS) schemes generate random shares to secure secrets, but their noisy appearance can raise suspicion. To address this, we present an advanced (n+1,n+1) MSS scheme that generates mean... 详细信息
来源: 评论
A verifiable multi-secret image sharing scheme based on DNA encryption
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Multimedia Tools and Applications 2025年 第4期84卷 1967-1983页
作者: Chattopadhyay, Arup Kumar Saha, Sanchita Nag, Amitava Singh, Jyoti Prakash Department of Computer Science and Engineering Central Institute of Technology Kokrajhar Kokrajhar India Department of Computer Science and Engineering National Institute of Technology Patna Bihar Patna India
A multi-secret image sharing (MSIS) scheme facilitates the secure distribution of multiple images among a group of participants. Several MSIS schemes have been proposed with a (n, n) structure that encodes secret... 详细信息
来源: 评论
Using DTL-MD with GANs and ResNet for Malicious Code Detection
Informatica (Slovenia)
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Informatica (Slovenia) 2025年 第14期49卷 63-78页
作者: Li, Yiming Xie, Tao Mei, Dongdong Department of Computer Science and Technology School of Computer Science and Engineering Ningxia Institute of Science and Technology Shizuishan753000 China
This study proposes a malicious code detection model DTL-MD based on deep transfer learning, which aims to improve the detection accuracy of existing methods in complex malicious code and data scarcity. In the feature... 详细信息
来源: 评论