A Data-Driven Intelligent Methodology for Developing Explainable Diagnostic Model for Febrile Diseases by Constance Amannah, Kingsley Friday Attai, Faith-Michael Uzoka

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Simulating Intraday Electricity Consumption with ForGAN by Ralf Korn, Laurena Ramadani

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Finding high posterior density phylogenies by systematically extending a directed acyclic graph by Chris Jennings-Shaffer, David H. Rich, Matthew Macaulay, Michael D. Karcher, Tanvi Ganapathy, Shosuke Kiami, Anna Kooperberg, Cheng Zhang, Marc A. Suchard, Frederick A. Matsen

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Presenting a neural network-based hybrid method for ADAS damper optimization in absorption of earthquake energy by Faezeh Nejati, Milad Jiyan

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Urban-oriented studies and identification of target areas and neighborhoods in need of urban regeneration: case study in Abbas-Abad city by Hadi Faghihmaleki, Akbar Deilampour

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An optimization-inspired intrusion detection model for software-defined networking by Hui Xu, Longtan Bai, Wei Huang

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Cluster-projected matrix product state: Framework for engineering exact quantum many-body ground states in one and two dimensions by Hidehiro Saito, Chisa Hotta

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Dual-branch graph Transformer for node classification by Yong Zhang, Jingjing Song, Eric C.C. Tsang, Yingxing Yu

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Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation by Dan Yu, Peng Yang, Weijun Zhu

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Three‐Dimensional Electrical Structure Beneath the Epicenter Zone and Seismogenic Setting of the 1976 Ms7.8 Tangshan Earthquake, China by Juntao Cai, Xiaobin Chen, Zeyi Dong, Yan Zhan, Zhongyin Liu, Tengfa Cui, Feng Jiang

“…Abstract Based on magnetotelluric array data and the three‐dimensional (3D) inversion algorithm, we obtain the 3D electrical structure of the 1976 Ms7.8 Tangshan earthquake zone. …”
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Thermal pure states for systems with antiunitary symmetries and their tensor network representations by Yasushi Yoneta

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Maritime inventory routing with an application to fish feed distribution by Anders Bjelland, Aksel Borgen, Sjur Wold, Kjetil Fagerholt, Dimitri J. Papageorgiou, Kristian Thun, Simen Tung Vadseth

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Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies by Nanzhe Wang, Haibin Chang, Dongxiao Zhang

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From observed transitions to hidden paths in Markov networks by Alexander M. Maier, Udo Seifert, Jann van der Meer

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Tectonic tremor and LFEs on a reverse fault in Taiwan by Ana C. Aguiar, Kevin Chao, Gregory C. Beroza

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AMMI Automatic Mangrove Map and Index: Novelty for Efficiently Monitoring Mangrove Changes with the Case Study in Musi Delta, South Sumatra, Indonesia by null Suyarso, Praditya Avianto

“…The goal is to monitor, assess, and manage the condition of mangroves for anyone interested in mangroves, including the central government, local authorities, and local communities. As a result, the authors proposed an algorithm: (ρNIR − ρRed)/(ρRed + ρSWIR1) ∗ (ρNIR − ρSWIR1)/(ρSWIR1 − 0.65 ∗ ρRed). …”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…The presented study aims to fill these gaps and demonstrate the efficiency of using open, accessible data and known algorithms. The research objective is to describe a pattern of appropriate selection of the least resource-intensive delivery forecasting model based on the analysis of machine learning algorithms.Materials and Methods. …”
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Implementation of Chernobyl disaster optimizer based feature selection approach to predict software defects [version 2; peer review: 2 approved, 1 not approved] by Himansu Das, Ajay Kumar Jena, Kunal Anand

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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

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Addressing Spatial Variability in Estimating Cover Management Factor of Soil Erosion Models using Geoinformatics: A Case Study of Netravati Catchment, Karnataka, India by Waleed Makhdumi, Shwetha H. R., G. S. Dwarakish, Jagadeesha B. Pai

“…This study aims to improve the accuracy of C factor estimates for the Netravati catchment present in the Western Ghats and Coastal Plains of India by using the Random Forest Algorithm and Sentinel 2 satellite data. The research examined five commonly used Normalized Difference Vegetation Index (NDVI) based C factor estimating equations and found that they inadequately represented local vegetation dynamics in the study area. …”
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