Cryogenic Performance and Modeling of Sub-5nm Fin-Width Bulk FinFETs for Quantum Computing Applications by Deepesh Sharma, Sumreti Gupta, Abhisek Dixit

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Mantaray modified multi-objective Harris hawk optimization algorithm expedites optimal load balancing in cloud computing by Mohammad Haris, Swaleha Zubair

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A Study on Information Classification and Storage in Cloud Computing Data Centers Based on Group Collaborative Intelligent Clustering by Jie Ren, Lijuan Liu

“…Internet of things (IoT) and cloud computing are combined to form a cloud computing data center, and cloud computing provides virtualization, storage, computing, and other support services for IoT applications. …”
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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

“…To address this issue, this study introduces a novel hybrid method for predicting concrete compressive strength by integrating multiple soft computing algorithms and the stacking ensemble learning strategy. …”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

“…Thus, the aim of this study is to realize edge computing for the BP measurement in real time, which includes measurements of BCG and IPG signals, digital signal process, feature extraction, and BP estimation by machine learning algorithm. …”
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Crayfish optimization based pixel selection using block scrambling based encryption for secure cloud computing environment by Vikas K. Soman, V. Natarajan

“…Abstract Cloud Computing (CC) is a fast emerging field that enables consumers to access network resources on-demand. …”
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Machine learning model design for high performance cloud computing & load balancing resiliency: An innovative approach by Nilayam Kumar Kamila, Jaroslav Frnda, Subhendu Kumar Pani, Rashmi Das, Sardar M.N. Islam, P.K. Bharti, Kamalakanta Muduli

“…High performance computing is now a major area where business and computing technologies need resilient high performance to meet business continuity and real-time needs. …”
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Worst-Case Input Generation for Concurrent Programs under Non-Monotone Resource Metrics by Long Pham, Jan Hoffmann

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Edge Computing for AI-Based Brain MRI Applications: A Critical Evaluation of Real-Time Classification and Segmentation by Khuhed Memon, Norashikin Yahya, Mohd Zuki Yusoff, Rabani Remli, Aida-Widure Mustapha Mohd Mustapha, Hilwati Hashim, Syed Saad Azhar Ali, Shahabuddin Siddiqui

“…Edge computing devices and handheld gadgets can serve as useful tools to process medical data in remote areas with limited network and computational resources. …”
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Versatile parallel signal processing with a scalable silicon photonic chip by Shihan Hong, Jiachen Wu, Yiwei Xie, Xiyuan Ke, Huan Li, Linyan Lyv, Yingying Peng, Qingrui Yao, Yaocheng Shi, Ke Wang, Leimeng Zhuang, Pan Wang, Daoxin Dai

“…Abstract Silicon photonic signal processors promise a new generation of signal processing hardware with significant advancements in processing bandwidth, low power consumption, and minimal latency. …”
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Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment by U. Dutta, Y. K. Singh, T. S. M. Prabhu, G. Yendargaye, R. Kale, M. K. Khare, B. Kumar, R. Panchang

“…Our findings reveal that simulations conducted on multicore processors offer superior performance compared to single-core setups, yielding enhanced result accuracy and providing administrators with increased lead time. …”
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VR-based avatar videos as an effective tool for process training in the context of digitalization? by Sarah Depenbusch, Niclas Schaper, Mirko Schürmann, Jan-Philip Schumacher

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Resolving Contrast and Detail Trade-Offs in Image Processing with Multi-Objective Optimization by Daniel Molina-Pérez, Alam Gabriel Rojas-López

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Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing. by Stefano Palminteri, Germain Lefebvre, Emma J Kilford, Sarah-Jayne Blakemore

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Big data processing and analysis platform based on deep neural network model by Sheng Huang

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Tunnel Traffic Enforcement Using Visual Computing and Field-Programmable Gate Array-Based Vehicle Detection and Tracking by Yi-Chen Lin, Rey-Sern Lin

“…We accelerated image processing using xfOpenCV on the PYNQ-Z2 and FPGA Xilinx platforms. …”
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Autoencoder neural network-based abnormal data detection in edge computing enabled large-scale IoT systems by Tianqi YU, Yongxu ZHU, Xianbin WANG

“…Given the advantages of low cost and easy deployment,large-scale Internet of things (IoT) has been deployed for environment monitoring pervasively.Within such systems,cloud platform is typically utilized as a remote data and control center.However,tremendous amount of data uploading and processing induce huge challenges on bandwidth load and real-time data gathering.In order to overcome these challenges,edge computing enabled IoT system architecture was proposed for environmental monitoring.As the intermediate layer,local processing could be supported for end devices with low latency and assist with preliminary analysis to offload computational tasks from cloud and the amount of data uploading could be reduced.Based on this system architecture,an autoencoder neural network-based abnormal data detection scheme was developed newly.Performance evaluation has been conducted based on the practical oceanic atmospheric data.Simulation results indicate that the proposed scheme can accurately detect the abnormal data by fully exploiting the spatial data correlation.…”
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«Okun-2» software-computing complex for calculating the mutational profile of samples of the sequenced whole genomes of mycobacteria tuberculosis by M. V. Sprindzuk, L. P. Titov, V. V. Slizen, A. E. Skryahin, E. M. Skryahina, O. M. Zalutskaya, A. P. Konchits

“…Authors describe a new software and computer complex designed and developed for the processing of the data of the whole genomes of mycobacterium tuberculosis with the purpose of obtaining information about the profile of tuberculosis resistance and virulence.…”
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Enhanced Blockchain-based Key Generation using Butterfly Optimization Algorithm for Efficient Data Sharing in Cloud Computing by P. Anbumani, R. Dhanapal

“…Cloud Computing, employed in various applications and services, refers to using computational resources as a service depending on customer needs via the Internet. …”
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Phase Change Memory: A Review on Electrical Behavior and Use in Analog In‐Memory‐Computing (A‐IMC) Applications by Mattia Boniardi, Matteo Baldo, Mario Allegra, Andrea Redaelli

“…In Analog In‐Memory Computing (A‐IMC) the typical properties of resistance‐based memory technologies are used to both store and compute information. …”
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