Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models by Wenshuo Yue, Kai Wu, Zhiyuan Li, Juchen Zhou, Zeyu Wang, Teng Zhang, Yuxiang Yang, Lintao Ye, Yongqin Wu, Weihai Bu, Shaozhi Wang, Xiaodong He, Xiaobing Yan, Yaoyu Tao, Bonan Yan, Ru Huang, Yuchao Yang

“…Experimental results demonstrate the effectiveness of increasing enumeration complexity to 5.77 × 1075 for a 128-column compute-in-memory core. We further implement and evaluate a RePACK computing system on a 40 nm resistive memory compute-in-memory chip. …”
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Effectiveness and Design of PBL-Based Project Approach for Non-Major University Computing Courses by Jung-In Choi, Sooyeon Yang

“…Educational outcomes were evaluated through both quantitative and qualitative analyses. …”
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Function Delivery Network: A Spatial-Temporal Execution Orchestrator for Optimizing Serverless Computing by Joel R. Corporan, Arshdeep Bahga, Vijay K. Madisetti

“…We implement the FDN on a major cloud platform and evaluate its performance against traditional Function-as-a-Service (FaaS) execution using a variety of benchmark functions. …”
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A Systematic Literature Review on Risk Assessment in Cloud Computing: Recent Research Advancements by Saadia Drissi, Meriyem Chergui, Zakaria Khatar

“…Cloud Computing serves as a service offering organizations a range of opportunities such as flexibility, scalability, and cost-effectiveness. …”
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A Quasi-Bonjean Method for Computing Performance Elements of Ships Under Arbitrary Attitudes by Kaige Zhu, Jiao Liu, Yuanqiang Zhang

“…Drawing inspiration from Bonjean curve principles, this study proposes a Quasi-Bonjean (QB) method to compute ship performance elements in arbitrary attitudes. …”
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SREHA: An Efficient Handover Authentication Scheme Based on Social Relationships in Mobile Edge Computing by Ziwang Wang, Liang Wang, Huili Yan, Zhize Wu

“…The results demonstrate that our scheme effectively reduces the time delay of the handover authentication process, and exhibits lower computational overhead and higher security compared to existing schemes.…”
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A secure and trustworthy blockchain-assisted edge computing architecture for industrial internet of things by Sasikumar Asaithambi, Senthilkumar Nallusamy, Jing Yang, Sunil Prajapat, Gyanendra Kumar, Pramod Singh Rathore

“…It accomplishes trustworthy authentication and endpoint activity tracing, and edge computing is used in blockchain nodes to offer device authentication processes that utilize smart contracts and PoAh. …”
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The soft computing approaches in optimising multi-objective mechanical design of a weeding robot by Afsaneh Soleimani

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Intelligent energy optimization for advanced IoT analytics edge computing on wireless sensor networks by Israel Edem Agbehadji, Samuel Ofori Frimpong, Richard C Millham, Simon James Fong, Jason J Jung

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Blockchain driven medical image encryption employing chaotic tent map in cloud computing by Usman Shahid, Shamsa Kanwal, Mahwish Bano, Saba Inam, Manal Elzain Mohamed Abdalla, Zaffar Ahmed Shaikh

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Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data by Emine Akpinar, Murat Oduncuoglu

“…This study provides a novel perspective on glioma classification by integrating classical and quantum computing, offering valuable insights into hybrid computational approaches.…”
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A Comprehensive Review and Analysis of Blockchain-Based Security Solutions for Cloud Computing Ecosystems by Noor Ghazi M. Jameel, Zryan Najat Rashid, Abdulkadir Şengür

“… Cloud computing is a rapidly evolving technology that defines a modern digital computing framework and business approach for utilizing software and hardware resources. …”
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An Efficient Quantum Blockchain Framework With Edge Computing for Privacy-Preserving 6G Networks by Kranthi Kumar Singamaneni, Budati Anil Kumar, Raenu A. L. Kolandaisamy, Vijaya Saradhi Dommeti, Swetha Katragadda

“…Experimental results demonstrate that the system achieves a 40% reduction in latency, a 35% increase in transaction throughput, and a 25% reduction in computational overhead due to the integration of zk-STARK. …”
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EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing by Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won

“…EgoSep integrates appearance and motion features from visual data with audio features extracted using a U-Net-based encoder, enabling robust separation in dynamic environments. The method is evaluated using the signal-to-noise ratio (SNR), treating on-screen sounds as signals and off-screen sounds as noise. …”
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Novel Application of Quantum Computing for Routing and Spectrum Assignment in Flexi-Grid Optical Networks by Oumayma Bouchmal, Bruno Cimoli, Ripalta Stabile, Juan Jose Vegas Olmos, Carlos Hernandez, Ricardo Martinez, Ramon Casellas, Idelfonso Tafur Monroy

“…This work lays the foundation for future exploration of quantum computing in solving large-scale RSA problems in EONs, with the prospect of achieving quantum advantage as quantum technology continues to advance.…”
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Analysis of Brain-Computer Interface Technology in the Medical Field and the Regulation of the US FDA by Jiaying GUO, Jieying YANG, Yaohua LI

“…Consequently, the comprehensive evaluation of its safety and effectiveness poses a considerable challenge for regulatory agencies. …”
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Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part... by Angelos Klothakis, Ioannis K. Nikolos

“…This method promises substantial improvements in computational efficiency and accuracy for complex hypersonic vehicle simulations.…”
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Ratsnake: A Versatile Image Annotation Tool with Application to Computer-Aided Diagnosis by D. K. Iakovidis, T. Goudas, C. Smailis, I. Maglogiannis

“…In order to demonstrate this unique capability, we present its novel application for the evaluation and quantification of salient objects and structures of interest in kidney biopsy images. …”
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Library as Laboratory: Computer Science Students Practice Usability Engineering in an Academic Library. by Margaret Mellinger

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Artificial Intelligence (ChatGPT) and Bloom’s Taxonomy in Theoretical Computer Science Education by Hashim Habiballa, Martin Kotyrba, Eva Volna, Vladimir Bradac, Martin Dusek

“…The study focuses on evaluating the performance of AI-based tools, specifically ChatGPT versions 3.5 and 4.0, in comparison to human students in the field of Theoretical Computer Science Education. …”
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