Internet of Things Based Application Placement Technique in Fog Environment by N Malathy, M Ruba, S Vinothini

“…Fog computing bridges the gap between IoT devices and cloud servers by providing low-latency computational resources closer to the network edge. …”
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MobiRDF: A cloud-based collaborative editing service for mobile RDF data sharing by Nadir Guetmi, Abdessamad Imine, Moulay Driss Mechaoui

“…It uses commutativity-based consistency model to maintain the consistency of the shared RDF graph, ensuring seamless collaboration among users. The heavier computational tasks, such as dynamic group management, synchronization merging, and reasoning processes, are managed in the Cloud, optimizing the performance of resource-constrained mobile devices. …”
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MicroForest: Lightweight Bottleneck Prediction for Manufacturing Processes on Edge Devices by Seungmin Yoo, Chanyoung Oh

“…However, manufacturing environments often lack high-performance computing resources and must rely on cost-effective, resource-constrained embedded devices, making fast and accurate prediction challenging. …”
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Privacy-preserving and verifiable spectral graph analysis in the cloud by Yuzhao Song

“…Abstract Resorting to cloud computing for spectral graph analysis on large-scale graph data is becoming increasingly popular. …”
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The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms by Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto

“…Edge Function-as-a-Service is an emerging computing model that dynamically schedules function executions across distributed edge (close to users) locations to reduce latency and improve user experience. …”
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AntPi: A Raspberry Pi based edge–cloud system for real-time ant species detection using YOLO by Lorenzo Palazzetti, Daniele Giannetti, Antonio Verolino, Donato A. Grasso, Cristina M. Pinotti, Francesco Betti Sorbelli

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Analyzing the Features, Usability, and Performance of Deploying a Containerized Mobile Web Application on Serverless Cloud Platforms by Jeong Yang, Anoop Abraham

“…Serverless computing services are offered by major cloud service providers such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. …”
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PV<i>k</i>NN: A Publicly Verifiable and Privacy-Preserving Exact <i>k</i>NN Query Scheme for Cloud-Based Location Services by Jingyi Li, Yuqi Song, Chengliang Tian, Weizhong Tian

“…Additionally, our scheme enhances computational efficiency through optimized data-packing techniques and simplified Voronoi diagram-based ciphertext index construction, leading to substantial savings in computational and communication overheads. …”
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Energy efficient design and implementation of approximate adder for image processing applications by Naik Jatothu Brahmaiah, Kumar Kanagala Sateesh, Krishnaiah Kondragunta Rama, Koteswararao Seelam

“…Approximate computing is a new technique that promises to speed up computations while preserving a level of precision suitable for error-tolerant systems such as neural networks and graphics. …”
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Efficient Hybrid DDPG Task Scheduler for HPC and HTC in Cloud Environment by S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Atif M. Alamri, Salman A. Alqahtani

“…In the initial stage, tasks are classified based on length and processing capacity to identify them whether they are High Performance Computing (HPC) tasks or High Throughput Computing (HTC) tasks. …”
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Don&#x2019;t Blink at the Wrong Time: Smart Glasses Inducing Timely Blinks by Ayumi Ohnishi, Soichiro Utsumi, Tsutomu Terada, Masahiko Tsukamoto

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Prediction of soil permeability coefficient using the GEP approach by Mina Torabi, Hamed Sarkardeh, S.Mohammad Mirhosseini

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Data-Driven Analysis: Examining the Impact of COVID-19 from the Perspective of Residential and Non-Residential Electricity Consumption by Zhiheng Yang, Xiu Cao, Qifan Zhang

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Elastic Optimization for Stragglers in Edge Federated Learning by Khadija Sultana, Khandakar Ahmed, Bruce Gu, Hua Wang

“…To fully exploit enormous data generated by intelligent devices in edge computing, edge federated learning (EFL) is envisioned as a promising solution. …”
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Multiplier leadership optimization algorithm (MLOA): unconstrained global optimization approach for melanoma classification by Sukanta Ghosh, Amar Singh, Shakti Kumar

“…The proposed algorithm is implemented in MATLAB, and its performance is evaluated on the IEEE Congress on Evolutionary Computation 2021 test bench suite, which consists of 80 benchmark functions. …”
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Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

“…In one method of solving this problem, the time required to find the optimal values of the decision variables depends on the time required to perform the arithmetic operations involved in computing the model predictions. Methods for attempting to reduce the computation time of an MPC could then include developing approximate (reduced-order or data-driven) models for a system that take less time to solve, or to parallelize the computations using, for example, multiple cores or CPU’s. …”
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Incidental Findings Diagnosed during Preprocedural Evaluation of TAVR by Levent Sahiner, Cem Coteli, Ahmet Kivrak, Yusuf Ziya Sener, Serkan Asil, Tuncay Hazirolan, Ergun Baris Kaya, Necla Ozer, Kudret Aytemir

“…Our findings emphasize that computed tomography has a crucial role for the preprocedural evaluation of TAVR candidates.…”
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A COMPUTERIZED WILD TURKEY HABITAT EVALUATION SYSTEM by J. F. Williamson Jr., G. T. Koeln

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EVALUATION OF ADAPTATIVE RESOURCES OF CHILDREN WITH MODERN AUTOMATED TECHNOLOGY by V.N. Luchaninova, L.V. Trankovskaya, E.A. Kosnitskaya

“…Adaptative resources of children's organisms at the time of their entrance to school were evaluated with modern automated technology — the method of computer dermographia (KD). …”
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Web Service Reputation Evaluation Based on QoS Measurement by Haiteng Zhang, Zhiqing Shao, Hong Zheng, Jie Zhai

“…In this paper, the factual QoS running data are collected by our WS-QoS measurement tool; based on these objectivity data, an algorithm compares the difference of the offered and measured quality data of the service and gives the similarity, and then a reputation evaluation method computes the reputation level of the Web service based on the similarity. …”
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