Fringe Texture Driven Droplet Measurement End-to-End Network Based on Physics Aberrations Restoration of Coherence Scanning Interferometry by Zhou Zhang, Jiankui Chen, Hua Yang, Zhouping Yin

“…Firstly, the 3D point spread function (PSF) for CSI imaging is modeling to relate the degradation and image. …”
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Data-Driven Robust Tracking Control for Multi-Player Nonzero-Sum Games With Constrained Inputs by Jingang Zhao, Jun Zhao, Yehan Chang, Guosheng Xu

“…Afterwards, a non-quadratic cost function including the bounded functions, system states and all players control inputs is designed to handle the input constraints and uncertainties, and the robust tracking control problem is therefore converted into a constrained optimal control problem of the nominal system corresponding to the augmented multi-player uncertain system. …”
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A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems by Reygie Q. Macasieb, Jeremy T. White, Damiano Pasetto, Adam J. Siade

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Sample-Efficient Multi-Agent DQNs for Scalable Multi-Domain 5G+ Inter-Slice Orchestration by Pavlos Doanis, Thrasyvoulos Spyropoulos

“…Most solutions addressing the problem of dynamically placing virtual network function chains (“slices”) on top of a physical topology still face one or more of the following hurdles: (i) they focus on simple slicing setups (e.g. single domain, single slice, simple VNF chains and performance metrics); (ii) solutions based on modern reinforcement learning theory have to deal with astronomically high action spaces, when considering multi-VNF, multi-domain, multi-slice problems; (iii) the training of the algorithms is not particularly data-efficient, which can hinder their practical application given the scarce(r) availability of cellular network related data (as opposed to standard machine learning problems). …”
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Teaching Analytical and Inorganic Chemistry in English as a Foreign Language by Ivan Gryshchenko, Liqiang Jin, Yulia Biriukova, Tetiana Derkach

“…The preferred learning styles of student groups using the Felder-Soloman method were studied as a function of the years of intake and compared to the profiles of Ukrainian students of similar specialities. …”
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Forecasting High‐Speed Solar Wind Streams From Solar Images by Daniel Collin, Yuri Shprits, Stefan J. Hofmeister, Stefano Bianco, Guillermo Gallego

“…In addition, we explain why the typically used loss function, the mean squared error, systematically underestimates the HSS peak velocities, aggravates operational space weather forecasts, and how a distribution transformation can resolve this issue.…”
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Adaptive Remaining Capacity Estimator of Lithium-Ion Battery Using Genetic Algorithm-Tuned Random Forest Regressor Under Dynamic Thermal and Operational Environments by Uzair Khan, Mohd Tariq, Arif I. Sarwat

“…The estimator is designed to function effectively under varying thermal conditions. …”
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Efficient-Proto-Caps: A Parameter-Efficient and Interpretable Capsule Network for Lung Nodule Characterization by Eduardo M. Rodrigues, Margarida Gouveia, Helder P. Oliveira, Tania Pereira

“…To address this challenge, we propose Efficient-Proto-Caps, a lightweight and inherently interpretable model that combines capsule networks with prototype learning for lung nodule characterization. Additionally, an innovative Davies-Bouldin Index with multiple centroids per cluster is employed as a loss function to promote clustering of lung nodule visual attribute representations. …”
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Faster-PPENet: Advancing Logistic Intelligence for PPE Recognition at Construction Sites by Jasim Alnahas

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Convolutional neural network approach for fault detection and characterization in medium voltage distribution networks by Atefeh Pour Shafei, J.Fernando A. Silva, J. Monteiro

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AI-driven thermography-based fault diagnosis in single-phase induction motor by Muhammad Atif, Shoaib Azmat, Faisal Khan, Fahad R. Albogamy, Adam Khan

“…This paper presents a novel Infrared Thermography (IRT) based fault diagnosis method, leveraging both conventional machine learning (CML) and deep learning (DL) techniques for motor condition classification. …”
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Enhancing cold storage efficiency: Continuous deep deterministic policy gradient approach to energy optimization utilizing strategic sensor input data by Jong-Whi Park, Young-Min Ju, Hak-Sung Kim

“…The foundational framework, reward function, and data communication methods, previously optimized for small-scale facilities, were adjusted to suit the requirements of the extended cold storage settings. …”
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A Novel Robotic-Assisted Rehabilitation System for Elbow Fracture: Design and Full-Cycle Rehabilitation Strategy by Qianze Helian, Jiade Chang, Zhiyuan He, Tao Sun

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Recommendations for Success in Forming and Maintaining a SoTL Community of Practice by Aletta M. du Plessis, Cornelia M. Schreck, Christo A. Bisschoff, Dané Coetzee, Samantha A. Kahts-Kramer, Jacobus J. Oosthuizen

“…We used Participatory Action Learning and Action Research (PALAR) principles to form and function our CoP. …”
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Critical Component Overheating Monitoring Algorithm Integrating Temperature-sensing Patches and Computer Vision Trains by SHU Dong, ZHANG Beijia, YANG Hongtai

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Pyrolysis Kinetics and Gas Evolution of Flame-Retardant PVC and PE: A TG-FTIR-GC/MS Study by Wen-Wei Su, Yang Li, Peng-Rui Man, Ya-Wen Sheng, Jian Wang

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EffNet-SVM: A Hybrid Model for Diabetic Retinopathy Classification Using Retinal Fundus Images by K. V. Naveen, B. N. Anoop, K. S. Siju, Mithun Kumar Kar, Vipin Venugopal

“…Researchers have extensively explored deep learning (DL) and convolutional neural networks (CNNs) for diagnosing DR from fundus images, yielding promising results and offering a viable alternative to conventional diagnostic approaches. …”
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Node Classification Based on Kolmogorov-Arnold Networks by YUAN Lining, FENG Wengang, LIU Zhao

“…Most graph deep learning methods extract feature information from graph data by using learnable weights and specific activation functions. …”
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A U-net based reconstruction of high-fidelity simulation results for flow around a ship hull based on low-fidelity inviscid flow simulation by Dayeon Kim, Jeongbeom Seo, Inwon Lee

“…The objective is to provide high-fidelity viscous flow simulation data using machine learning in conjunction with inviscid flow simulation results, which are significantly less time-consuming to generate. …”
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RipFinder: real-time rip current detection on mobile devices by Fahim Khan, Akila de Silva, Ashleigh Palinkas, Gregory Dusek, James Davis, Alex Pang

“…This novel approach enables the app to function with or without internet connectivity, proving particularly beneficial in regions without lifeguards or internet access. …”
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