Simulation-based deep reinforcement learning for multi-objective identical parallel machine scheduling problem by Sohyun Nam, Young-in Cho, Jong Hun Woo

“…However, due to the extensive computational time, these methods face limitations in addressing short-term scheduling problems for the unit production systems of shipbuilding processes, where various environmental uncertainties must be considered. …”
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The Barriers of Knowledge Acquisition and Knowledge Transfer in Software Companies: A Systematic Literature Review by Ersha Aisyah Elfaiz

“…Nowadays, organizations need computer-based information systems to improve their business process. …”
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Growth of a Single Bubble Due to Super-Saturation: Comparison of Correlation-Based Modelling with CFD Simulation by Johannes Manthey, Wei Ding, Hossein Mehdipour, Montadhar Guesmi, Simon Unz, Uwe Hampel, Michael Beckmann

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Convective and Radiative Heat Transfer Analysis in a Three-Step Exothermic Chemical Reaction: Case Study—Methane Combustion by Ramoshweu Solomon Lebelo, Tranos Zuva

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Monophasic and biphasic neurodynamics of bi-S-type locally active memristor by Xinyi Wang, Yujiao Dong, Guangyi Wang, Guangyi Wang, Ziyu Zhou, Yidan Mao, Peipei Jin, Yan Liang

“…Inspired by the energy-efficient information processing of biological neural systems, this paper proposes an artificial memristive neuron to reproduce biological neuronal functions. …”
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Climate-resilient energy systems planning via system-informed identification of stressful events by Francesco De Marco, Jacob Mannhardt, Alfredo Oneto, Giovanni Sansavini

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INTERACTIVE DISTANCE EDUCATIONAL TECHNOLOGIES IN GEOGRAPHY LESSONS by Viktor V. Hrushka

“…Such techniques can be seen as a natural stage in the evolution of the traditional education system from chalk board to electronic board and computer technology. They provide the opportunity to conduct distance learning via the Internet; diversify the means of communication between student and teacher (e-mail, chat, forum, file sharing, etc.); activate the role of the teacher and exercise full control over the learning process; apply a multilevel testing system; Distance learning opens access to better; higher quality education for all participants in the learning process, but learning with the help of the Internet technologies is not sufficiently researched. …”
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Performance of Synthetic Double Sampling Chart with Estimated Parameters Based on Expected Average Run Length by Huay Woon You

“…The average run length (ARL) has been implemented as the common performance measure in process monitoring of the SDS chart. Computation of ARL requires practitioners to determine shift size in advance. …”
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Enhancing User Satisfaction in Indonesia’s e-wallet Market: A Comprehensive Analysis of Factors and Priorities by Rahmat Nurcahyo, Anton Satria Prabuwono, Akmal Fatah Fainusa, Nurhadi Wibowo, Muhammad Habiburrahman, Khairi Hindriyandhito

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Optical neural engine for solving scientific partial differential equations by Yingheng Tang, Ruiyang Chen, Minhan Lou, Jichao Fan, Cunxi Yu, Andrew Nonaka, Zhi Yao, Weilu Gao

“…We numerically and experimentally demonstrate the capability of the ONE architecture, which not only leverages the advantages of high-performance dual-space processing for outperforming traditional PDE solvers and being comparable with state-of-the-art ML models but also can be implemented using optical computing hardware with unique features of low-energy and highly parallel constant-time processing irrespective of model scales and real-time reconfigurability for tackling multiple tasks with the same architecture. …”
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Improving P-Doped DBRs Operation at Cryogenic Temperatures: Investigating Different Mirror Geometry by Behzad Namvar, Topi Uusitalo, Heikki Virtanen, Mircea Guina, Jukka Viheriala

“…The use of vertical-cavity-surface-emitting lasers with ability to operate at cryogenic temperatures (Cryo-VCSELs) is a promising path to implement optical data links between superconducting processors maintained in cryogenic environments (4 K range) and room temperature (RT) computing hardware. …”
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Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study by Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald Cowan

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Analysis of the Effects of Biomass Stabilization Under Varying Thermal Conditions with Respect to the Quality Characteristics of Compost Transformation Products by Mariusz Adamski, Marcin Herkowiak, Przemysław Marek, Kamila E. Klimek, Magdalena Kapłan

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AgriChainSync: A Scalable and Secure Blockchain-Enabled Framework for IoT-Driven Precision Agriculture by Hassam Ahmed Tahir, Walaa Alayed, Waqar Ul Hassan, Fahad Nabi, Truong X. Tran

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An Energy-Efficient Collaborative Ground Vibration Measurement Scheme Based on Compressed Sensing and Belief Propagation by Danqi Chen, Jilin Feng, Qiang Liu, Fangping Gao, Yanxia Zhang, Xiaoying Wang

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An Intelligent Monitoring System for the Driving Environment of Explosives Transport Vehicles Based on Consumer-Grade Cameras by Jinshan Sun, Jianhui Tang, Ronghuan Zheng, Xuan Liu, Weitao Jiang, Jie Xu

“…An optimized stereo matching workflow reduces processing latency by 23.5%, enabling real-time performance on low-cost devices. …”
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Drone-assisted adaptive object detection and privacy-preserving surveillance in smart cities using whale-optimized deep reinforcement learning techniques by Ahmed Abu-Khadrah, Ahmad Al-Qerem, Mohammad R. Hassan, Ali Mohd Ali, Muath Jarrah

“…Artificial intelligence algorithms and computer-aided processing will handle the images extracted from the surveillance videos to reveal the object. …”
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Harnessing bioenergy for sustainable and balanced energy generation in Nigeria by Tochukwu Nicholas Ugwu, Henry Madubuike, Augusta Anuli Nwachukwu, Chidinma Ogochukwu Ukachukwu, Nnenna Nwajagu, Tochukwu Ekwutosi Ogbulie

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Medical laboratory data-based models: opportunities, obstacles, and solutions by Jiaojiao Meng, Moxin Wu, Fangmin Shi, Ying Xie, Hui Wang, You Guo

“…Despite these benefits, challenges such as data quality, model optimization, computational requirements, and limited interpretability remain, along with concerns about data privacy, fairness, and security. …”
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Hybridization of Cognitive Radar and Phased Array Radar Having Low Probability of Intercept Transmit Beamforming by Abdul Basit, Ijaz Mansoor Qureshi, Wasim Khan, Ihsan Ulhaq, Shafqat Ullah Khan

“…Genetic algorithm (GA) based evolutionary computing technique finds these weights offline and stores to memory. …”
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