Age-specific ASPECTS atlas of Chinese subjects across different age groups for assessing acute ischemic stroke by Qi Sun, Guan Wang, Jinzhu Yang, Yimo Zhou, Yuliang Yuan, Yan Huang, Ziyu Fu

“…Images of different age groups are warped into respective common averaged spaces, where the average intensity atlases are computed. More importantly, 10 ASPECTS regions can be obtained during this process. …”
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Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints by Javad Forough, Hamed Haddadi, Monowar Bhuyan, Erik Elmroth

“…Additionally, we utilize knowledge distillation to distill the knowledge from the previously mentioned high-capacity model, known as the teacher model, into a more compact student model. This distillation process enhances the student model’s computational efficiency while retaining its detection power. …”
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Exploring Blockchain–IoT Convergence for Logistics Traceability: A Systematic Review and Future Outlook by Yahaya Saidu, Shuhaida Mohamed Shuhidan, Izzatdin Abdul Aziz, MD Mahmudul Alam, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Shamsuddeen Adamu

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Enhanced superconducting qubit performance through ammonium fluoride etch by Cameron J Kopas, Dominic P Goronzy, Thang Pham, Carlos G Torres Castanedo, Matthew Cheng, Rory Cochrane, Patrick Nast, Ella Lachman, Nikolay Z Zhelev, André Vallières, Akshay A Murthy, Jin-su Oh, Lin Zhou, Matthew J Kramer, Hilal Cansizoglu, Michael J Bedzyk, Vinayak P Dravid, Alexander Romanenko, Anna Grassellino, Josh Y Mutus, Mark C Hersam, Kameshwar Yadavalli

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A New Zero Waste Design for a Manufacturing Approach for Direct-Drive Wind Turbine Electrical Generator Structural Components by Daniel Gonzalez-Delgado, Pablo Jaen-Sola, Erkan Oterkus

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Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing by Aminu Aminu Muazu, Ahmad Sobri Hashim

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Optimizing Blockchain Consensus: Incorporating Trust Value in the Practical Byzantine Fault Tolerance Algorithm with Boneh-Lynn-Shacham Aggregate Signature by Dayong Zhang, Nur Haliza Abdul Wahab, Adi Wira Mohd Zin

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Parametric Optimization for Fully Fuzzy Linear Programming Problems with Triangular Fuzzy Numbers by Aliviya Bhowmick, Snehashish Chakraverty, Subhashish Chatterjee

“…Unlike conventional techniques that rely on crisp approximations or the defuzzification process, the proposed approach maintains the fuzziness throughout the computation, ensuring that the solutions retain their fuzzy characteristics and better reflect the uncertainties present in the input data. …”
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Optical XOR logic gate design in two dimensional photonic crystal using ANN and PSO by Farsad Heidari, Delir Pashabadi, Mohammad Fathi, Mohammad Razaghi

“…The proposed gate is designed to be used in optical computing and all-optical logic applications, offering advantages such as fast computation and parallel processing. …”
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Advancements in Intelligent Sensing Technologies for Food Safety Detection by Wenhui Jiang, Changhong Liu, Wei Liu, Lei Zheng

“…Integrated intelligent sensing systems, incorporating advanced information perception and computational intelligence, have emerged as rapid, user-friendly, and cost-effective solutions through the synergy of multisource sensors and smart computing. …”
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Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

“…Through the comprehensive detection process of data importance, network busyness, duration of transmission process, and failure situation, the efficiency has been increased by 20%, and an adaptive data integrity detection method based on random algorithm and encryption algorithm is designed. …”
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DIAGONALISASI MATRIKS UNTUK MENYELESAIKAN MODEL MANGSA-PEMANGSA by Elvinus R. Persulessy

“…The purpose of diagonalization technique is to make the computing process to solve a predator-prey model more easier…”
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MindLLM: Lightweight large language model pre-training, evaluation and domain application by Yizhe Yang, Huashan Sun, Jiawei Li, Runheng Liu, Yinghao Li, Yuhang Liu, Yang Gao, Heyan Huang

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Aeroelastic Optimization Design for High-Aspect-Ratio Wings with Large Deformation by Changchuan Xie, Yang Meng, Fei Wang, Zhiqiang Wan

“…In addition, optimization strategies are explored to simplify the complex optimization process and reduce the computing time. Different criterion values are selected and studied for judging the effects of the simplified method on the computing time and the accuracy of results. …”
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Diverse explanations from data-driven and domain-driven perspectives in the physical sciences by Sichao Li, Xin Wang, Amanda Barnard

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HERMEES: A Holistic Evaluation and Ranking Model for Energy-Efficient Systems Applied to Selecting Optimal Lightweight Cryptographic and Topology Construction Protocols in Wireless... by Petar Prvulovic, Nemanja Radosavljevic, Djordje Babic, Dejan Drajic

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Novel SMA BASED Elmanspiking neural network modelled fuzzy PI controller for speed-torque regulation of PMSM by Lakshmipriya Natarajan, Mamdooh Alwetaishi, Chu Liang Lee, S. D. V. V. S. Bhimeshwar Reddy

“…In this paper, this soft computing controller possess randomness during first phase of weight update and during optimal gain value determination Simulation process for the designed new soft computing controller was done in MATLAB.…”
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Robust Nonfragile H∞ Filtering for Uncertain T-S Fuzzy Systems with Interval Delay: A New Delay Partitioning Approach by Xianzhong Xia, Renfa Li, Jiyao An

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Predicting Predisposition to Tropical Diseases in Female Adults Using Risk Factors: An Explainable-Machine Learning Approach by Kingsley Friday Attai, Constance Amannah, Moses Ekpenyong, Said Baadel, Okure Obot, Daniel Asuquo, Ekerette Attai, Faith-Valentine Uzoka, Emem Dan, Christie Akwaowo, Faith-Michael Uzoka

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Available Transfer Capability Calculation Constrained with Small-Signal Stability Based on Adaptive Gradient Sampling by Peijie Li, Ling Zhu, Xiaoqing Bai, Hua Wei

“…The highlighted feature is the sample size of the gradient changes dynamically in every iteration, yielding an adaptive gradient sampling (AGS) process. Thus, the computing efficiency is greatly improved owing to the decrease and the parallelization of gradient evaluation, which dominates the computing time of the whole algorithm. …”
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