Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study by C. Banerjee, K. Nguyen, C. Fookes, G. Hancock, T. Coulthard

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State of Health Estimation for Lithium-Ion Batteries Using Electrochemical Impedance Spectroscopy and a Multi-Scale Kernel Extreme Learning Machine by Jichang Peng, Ya Gao, Lei Cai, Ming Zhang, Chenghao Sun, Haitao Liu

“…An accurate state of health (SOH) estimation for lithium-ion batteries (LIBs) is crucial for reliable operations and extending service life. While electrochemical impedance spectroscopy (EIS) effectively characterizes LIBs degradation patterns, the high dimensionality of EIS data poses challenges for an efficient analysis. …”
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Timing and Resource Analysis of Emergency Response Process Using Petri Nets by Lin Zhao, Hongxia Li, Jiacun Wang, Lei Chen

“…Emergency response is any systematic response to unexpected events that pose potential risk and/or damage to human life or property. Outbreak of virus, leak of poisonous chemicals, and terrorist attack are just a few examples. …”
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A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection by Yi Wang, Feng Li, Mengge Lv, Tianzhen Wang, Xiaohang Wang

“…Under cavitation conditions, hydraulic turbines can suffer from mechanical damage, which will shorten their useful life and reduce power generation efficiency. Timely detection of cavitation phenomena in hydraulic turbines is critical for ensuring operational reliability and maintaining energy conversion efficiency. …”
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A Novel Vision Sensing System for Tomato Quality Detection by Satyam Srivastava, Sachin Boyat, Shashikant Sadistap

“…Zigbee module has been interfaced with developed system for wireless transmission from host system to PC based server for further processing. Algorithm development consists of three major steps, preprocessing steps like noise rejection, segmentation and scaling, classification and recognition, and automatic disease detection and classification. …”
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Calcium and Vitamin D supplements in the treatment of osteoporosis. by Ahmed I Alobaidi, Ahmed Hazim Al Aoodh, Nabeel Yousif Abdullah, HUSHAM JASSIM, Mubder Abdul_Raheem Mohammed saeed, Housamaddeen Alfarhan

“…Abstract Osteoporosis is widely distributed in our communities due to a lot of causes like aging of the population, lack of physical activities, limited outside life and avoidance of sun exposure. Osteoporosis causes a lot of clinical disorders like backache, bone pain, and generalized fatiguability. …”
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Comprehensive Clinico-Demographic Analysis Of Malignant Pleural Effusions In The Bulgarian Population: Insights From An Observational Case-Control Study by Aleksiev V., Yavorov B., Markov D.

“…Affecting approximately 1 million people each year, malignant pleural effusions are a leading cause of debilitating dyspnea and decreased quality of life for many patients. Distant metastasis to the pleural layers is one of the most common complications in many malignancies, with approximately 20% of cancer patients experiencing pleural effusions during treatment. …”
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The Utopian Internet, Computing, Communication, and Concrete Utopias: Reading William Morris, Peter Kropotkin, Ursula K. Le Guin, and P.M. in the Light of Digital Socialism by Christian Fuchs

“…The paper develops a communist allocation algorithm needed in a communist economy for the allocation of goods based on the decentralised satisfaction of needs. …”
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Surgical Treatment of Neuroendocrine Liver Metastases by Ser Yee Lee, Peng Chung Cheow, Jin Yao Teo, London L. P. J. Ooi

“…A systematic search of the PubMed database was performed from 1995–2010, to collate the current evidence and formulate a sound management algorithm. There are 22 case series with a total of 793 patients who had undergone surgery for NELM. …”
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Volcanic Facies From Probabilistic Multi‐Physics Characterization of an Andesite Island Volcano, Whakaari/White Island, New Zealand by C. A. Miller, F. Caratori Tontini

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Deep learning signature to predict postoperative anxiety in patients receiving lung cancer surgery by Qingqing Ji, Guohua Zhou, Xiangxiang Sun

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Machine learning-based fatigue lifetime prediction of structural steels by Konstantinos Arvanitis, Pantelis Nikolakopoulos, Dimitrios Pavlou, Mina Farmanbar

“…Through preprocessing and feature selection, four techniques are explored: Polynomial Regression, Support Vector Regression (SVR), XGB Regression and Artificial Neural Network (ANN), aiming to identify the most effective algorithm. The implementation of these methodologies for fatigue lifetime prediction yields substantial outcomes. …”
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Fairness-Aware Computation Offloading for Mobile Edge Computing With Energy Harvesting by Dedi Triyanto, I. Wayan Mustika, Widyawan, Praphan Pavarangkoon

“…Energy harvesting (EH) is built into FACOO to prolong device battery life and to ensure that MEC systems, which have limited resources, are more sustainable. …”
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Enhanced Prediction of Bond Strength in Corroded RC Structures Using Advanced Feature Selection and Ensemble Learning Framework by Jin-Yang Gui, Zhao-Hui Lu, Chun-Qing Li

“…This paper pioneers an algorithm for an advanced ensemble learning framework to predict bond strength between corroded steel bars and concrete. …”
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Online LiDAR-Camera Extrinsic Calibration Using Selected Semantic Features by Ping-Tzu Lin, Ying-Shiuan Huang, Wen-Chieh Lin, Chieh-Chih Wang, Huei-Yung Lin

“…Autonomous vehicles have gained great attention from all walks of life in recent years. The relative position and orientation between sensors often change gradually over time due to vibrations or thermal stress of materials. …”
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Non-Destructive Detection of Fruit Quality: Technologies, Applications and Prospects by Jingyi Liu, Jun Sun, Yasong Wang, Xin Liu, Yingjie Zhang, Haijun Fu

“…These technologies can detect a variety of chemical components of fruit, realize the assessment of maturity, damage degree, disease degree, and are suitable for orchard picking, quality grading, shelf life prediction and other fields. However, there are limitations to these techniques. …”
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An optimization method to improve the performance of unmanned aerial vehicle wireless sensor networks by Hui-Ru Cao, Zhi Yang, Xue-Jun Yue, Yong-Xin Liu

“…Additionally, a simulated annealing algorithm is employed to detect the optimal flight trajectory according the ground wireless sensor network architecture. …”
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Propagation-adaptive 4K computer-generated holography using physics-constrained spatial and Fourier neural operator by Ninghe Liu, Kexuan Liu, Yixin Yang, Yifan Peng, Liangcai Cao

“…Abstract Computer-generated holography (CGH) offers a promising method to create true-to-life reconstructions of objects. While recent advances in deep learning-based CGH algorithms have significantly improved the tradeoff between algorithm runtime and image quality, most existing models are restricted to a fixed propagation distance, limiting their adaptability in practical applications. …”
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Tropical Cyclone Wind Field Reconstruction for Hazard Estimation via Bayesian Hierarchical Modeling With Neural Network by C. Yang, J. Xu

“…Abstract Tropical cyclones (TCs) are one of the biggest threats to life and property around the world. Accurate estimation of TC wind hazard requires estimation of catastrophic TCs having a very long return period spanning up to thousands of years. …”
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Unique Method for Prognosis of Risk of Depressive Episodes Using Novel Measures to Model Uncertainty Under Data Privacy by Barbara Pękala, Dawid Kosior, Wojciech Rząsa, Katarzyna Garwol, Janusz Czuma

“…To achieve this goal, a novel decision-making algorithm is used that employs interval entropy measures based on the theory of interval-valued fuzzy sets. …”
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