In Situ Monitoring and Numerical Experiments on Vertical Deformation Profiles of Large-Scale Underground Caverns in Giant Hydropower Stations by Hao Wu, Jian Liu, Xiaogang Wang, Lipeng Liu, Zhenhua Tian

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RL-MAB-Based Resource Allocation for Efficient Bandwidth Utilization in Industrial IoT Networks by Dongyeong Seo, Kidong Nam, Kwansoo Jung

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Comparisons of the v11.1 Orbiting Carbon Observatory‐2 (OCO‐2) XCO2 Measurements With GGG2020 TCCON by Saswati Das, Matthäus Kiel, Joshua Laughner, Gregory Osterman, Christopher W. O’Dell, Thomas E. Taylor, Brendan Fisher, Frédéric Chevallier, Nicholas M. Deutscher, Manvendra K. Dubey, Dietrich G. Feist, Omaira Garcia, David W. T. Griffith, Frank Hase, Laura T. Iraci, Rigel Kivi, Isamu Morino, Justus Notholt, Hirofumi Ohyama, David Pollard, Sébastien Roche, Coleen M. Roehl, Constantina Rousogenous, Mahesh Kumar Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Geoffrey Toon, Mihalis Vrekoussis, Pucai Wang, Thorsten Warneke, Paul Wennberg, Abhishek Chatterjee, Vivienne H. Payne, Debra Wunch

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Designing a green forward and reverse logistics network with an IoT approach considering backup suppliers and special disposal for epidemics management by Sina Abbasi, Sara Damavandi, Amirhossein RadmanKian, Kian Zeinolabedinzadeh, Yigit Kazancoglu

“…This study's contribution and novelty, compared to previous research, lie in the introduction of backup supply centers, particularly waste disposal centers, and the comparison of normal and epidemic conditions for disaster management using the IoT approach.…”
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Are AI weather models learning atmospheric physics? A sensitivity analysis of cyclone Xynthia by Jorge Baño-Medina, Agniv Sengupta, James D. Doyle, Carolyn A. Reynolds, Duncan Watson-Parris, Luca Delle Monache

“…Gradients (or sensitivities) of the target metric of interest are computed with respect to the variable fields at initial time by means of the backpropagation algorithm, which does not assume linear perturbation growth. …”
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Automatic Optimal Design Method for Minimum Total Resistance Hull Based on Enhanced FFD Method by Shuhui Guo, Baoji Zhang, Zheng Tian, Jie Liu, Hailin Tang

“…The KCS hull, known for its excellent resistance performance, was chosen as the optimization target, with the goal of minimizing total resistance by adjusting the bulbous bow line plan. The research results indicated that the optimized scheme exhibited lower resistance characteristics compared to the original design while satisfying design constraints. …”
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Analysis of time series characteristics using machine learning model and correlation matrix in the tasks of forecasting the state of forest ecosystems by Gusev Pavel, Tavolzhanskij Alexander, Zolnikov Vladimir, Deniskina Antonina

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Model Predictive Control-Based Energy Management System for Cooperative Optimization of Grid-Connected Microgrids by Sungmin Lim, Jaekyu Lee, Sangyub Lee

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An Internal Overvoltage Identification Method for Distribution Network Based on Transfer Learning by Hao XU, Liqiang LIU, Chao LV

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Design of Low-Power Structural FIR Filter Using Data-Driven Clock Gating and Multibit Flip-Flops by Lamjed Touil, Abdelaziz Hamdi, Ismail Gassoumi, Abdellatif Mtibaa

“…The combination of these methods into a single algorithm enables further power saving of the FIR filter. …”
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Applications of artificial intelligence and computational intelligence in hydraulic optimization of centrifugal pumps: a comprehensive review by Yuanhui Xu, Xingcheng Gan, Ji Pei, Wenjie Wang, Jia Chen, Shouqi Yuan

“…This paper provides a comprehensive review of the application of AI and CI technologies in hydraulic optimisation of centrifugal pumps, with a focus on emerging techniques such as machine learning frameworks and intelligent algorithms. Through extensive comparative analyses, this study evaluates the advantages and limitations of intelligent methods relative to traditional optimisation approaches. …”
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A Multistep Prediction of Hydropower Station Inflow Based on Bagging-LSTM Model by Lulu Wang, Hanmei Peng, Mao Tan, Rui Pan

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Joint User-Centric Clustering and Pilot Allocation for Scalable Cell-Free Massive MIMO System by Irma Zakia, Muhammad Brata

“…Therefore, this research aimed to combine the Gale-Shapley clustering algorithm with two existing pilot allocation methods, namely, the scalable and graph-coloring methods. …”
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An Ensemble for Automatic Time Series Forecasting With K-Nearest Neighbors by Maria P. Frias, Francisco Martinez

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3D Micro-Expression Recognition Based on Adaptive Dynamic Vision by Weiyi Kong, Zhisheng You, Xuebin Lv

“…In the research on intelligent perception, dynamic emotion recognition has been the focus in recent years. …”
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METHODOLOGICAL FEASIBILITY OF TEST TECHNOLOGIES IN ASSESSING MEDICAL STUDENTS’ PROFICIENCY by Yu. Lysanets, H. Morokhovets, L. Ostrovska, T. Purdenko

“…The objective of the research is to develop the cycle of test assignments and provide methodological recommendations for their integration in higher medical education. …”
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Energy efficient strategy for placement of virtual machines selected from underloaded servers in compute Cloud by Nimisha Patel, Hiren Patel

“…We believe that there is a scope of improvement in existing methods of deciding underloaded hosts and subsequently taking off virtual machines (VMs) from them and placing them on other hosts. In this research, we propose Host Utilization Aware (HUA) Algorithm for underloaded host detection and placing its VMs on other hosts in a dynamic Cloud environment. …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…Hyperparameter tuning is conducted using the Limited-memory Broyden–Fletcher–Goldfarb–Shanno with Box constraints (L-BFGS-B) algorithm, which demonstrates the superior computational efficiency compared to traditional approaches such as grid and random search. …”
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Sentiment Analysis of Netizens on Constitutional Court Rulings in the 2024 Presidential Election by Wahyudi Ariannor, Sami M A B Alshalwi, Budi Susarianto

“…Abstract Online conversations among netizens play an important role in forming collective opinions and views about important events, including judicial decisions such as those taken by the Constitutional Court (MK). This research explores sentiment analysis of the Constitutional Court’s decisions, especially in the context of the presidential election, using the Support Vector Machine (SVM), Logistic Regression, and Naive Bayes algorithms. …”
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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…The outcomes show better efficiency in terms of precision, which is equal to 0.98, and accuracy of 97.2%, showing improvements compared to the previous methods. This research offers a useful instrument that will help e-commerce companies improve their customer retention strategies and achieve sustainable growth.…”
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