Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models by Hongkun Fu, Jian Lu, Jian Li, Wenlong Zou, Xuhui Tang, Xiangyu Ning, Yue Sun

“…Additionally, the study explores the potential of the Green Normalized Difference Vegetation Index (GNDVI) in yield prediction. The research utilizes data collected from March to May between 2001 and 2010, encompassing vegetation indices, environmental variables, and yield statistics. …”
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High-resolution global distribution projections of 10 rodent genera under diverse SSP-RCP scenarios, 2021–2100 by Yang Lan, Xiao Wu, Meng Xu, Keran Li, Yizhong Huan, Guangjin Zhou, Fei Lun, Wenlong Shang, Riqi Zhang, Yang Xie

“…GridScopeRodents serves as a valuable resource for research on biodiversity conservation, invasive species monitoring, agricultural sustainability, and disease ecology. …”
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Computational Techniques for Analysis of Thermal Images of Pigs and Characterization of Heat Stress in the Rearing Environment by Maria de Fátima Araújo Alves, Héliton Pandorfi, Rodrigo Gabriel Ferreira Soares, Gledson Luiz Pontes de Almeida, Taize Calvacante Santana, Marcos Vinícius da Silva

“…Heat stress stands out as one of the main elements linked to concerns related to animal thermal comfort. This research aims to develop a sequential methodology for the extraction of automatic characteristics from thermal images and the classification of heat stress in pigs by means of machine learning. …”
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A CHATBOT FOR POSTGRADUATE INFORMATION DISSEMINATION by Umar Emmanuel, Odulaja Godwin Oluwaseyi, Babatunde Akinbowale Nathanie

“…To curtail this lapses and to ensure timely delivery of information to users, this paper adopted mixed method research (i.e. design based approach and action research). …”
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Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

“…Abstract This study investigates the efficacy of hybrid artificial neural network (ANN) methods, incorporating metaheuristic algorithms such as particle swarm optimization (PSO), genetic algorithm (GA), gray wolf optimizer (GWO), Aquila optimizer (AO), Runge–Kutta (RUN), and the novel ANN-based Runge–Kutta with Aquila optimizer (LSTM-RUNAO). …”
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An Influence of Gas Explosions on Dynamic Responses of a Single Degree of Freedom Model by Ki-Yeob Kang, Kwang-Ho Choi, Jae Woong Choi, Yong Hee Ryu, Jae-Myung Lee

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Unorthodox parallelization for Bayesian quantum state estimation by Hanson H Nguyen, Kody J H Law, Joseph M Lukens

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Investigating the Effectiveness of Option Pricing Using Machine learning models Compared to the Black-Scholes model by Reza Mahdavi, Eslam Fakher, Hasanali Sinaei

“…In this context, the aim of this research is to evaluate the performance of machine learning algorithms in predicting option prices compared to the Black-Scholes model. …”
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Verification of the person’s dynamic signature on a limited number of samples by V. V. Starovoitov

“…Objectives. The goal of the research is to develop a new person-dependent method for verification of a signature of one person made on a tablet with a stylus in the presence of a limited number of signature samples of this person.Methods. …”
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The 2017 Land Use/Land Cover Map of Catalonia based on Sentinel-2 images and auxiliary data by O. González-Guerrero, X. Pons

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Electromagnetic scattering from random rough surface using higher-order GTD-RT numerical technique for optical wireless communications by Asmaa E. Farahat, Khalid F. A. Hussein

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Digitization of Architectural Heritage Objects Using Photogrammetry: Sumy Region Case Study by Ihor Tytarenko, José Machado, Ivan Pavlenko

“…At the first stage of the research, archival sources were analyzed and digitized. …”
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MACHINE LEARNING FOR CONCRETE SUSTAINABILITY IMPROVEMENT: SMART FLEET MANAGEMENT by Coralia TANASUICA (ZOTIC), Mihai Daniel ROMAN

“…Furthermore, the Long Short-Term Memory (LSTM) algorithm is used for forecasting fuel consumption, offering a predictive glance into future expenditures. …”
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Transformer Online Monitoring Data Abnormal Value Detection and Cleaning by QIAN Yucheng, ZHEN Chao, JI Kun, ZHAO Changwei, FU Longming, ZHANG Yajing

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Metaheuristic optimization of extreme gradient boosting machine for enhanced prediction of lateral strength of reinforced concrete columns under cyclic loadings by Phu-Anh-Huy Pham, Nhat-Duc Hoang

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Electric vehicle charging stations and the employed energy management schemes: a classification based comparative survey by Abdul Rauf Bhatti, Muhammad Tamoor, Rehan Liaqat, Akhtar Rasool, Zainal Salam, Ahmed Ali, Abdulkerim Sherefa

“…A comparative survey of different energy management algorithms is presented while highlighting the benefits and drawbacks of each algorithm. …”
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On the propeller wake evolution using large eddy simulations and physics-informed space-time decomposition by Zhan Zhang, Peng Sun, Long Pan, Teng Zhao

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Practical aspects of perioperative management in patients with non-valvular atrial fibrillation receiving direct oral anticoagulants by E. N. Markova, T. Yu. Vedenikin, A. A. Kuzub, N. V. Kuchieva, A. R. Navasardyan, O. N. Dzhioeva

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Leveraging hybrid 1D-CNN and RNN approach for classification of brain cancer gene expression by Heba M. Afify, Kamel K. Mohammed, Aboul Ella Hassanien

“…The continuous availability of gene expression datasets over the preceding years has made them one of the most accessible sources of genome-wide data, advancing cancer bioinformatics research and advanced prediction of cancer genomic data. …”
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Problems and Prospects of Regulating Relations within a Deal Effected with Participation of Artificial Intelligence by D. A. Kazantsev

“…To solve the issue of responsibility for the decisions resulting from the implementation of algorithms of a software and hardware package, we propose several models of distributing such responsibility among its creator, owner, and other persons, whose actions might influence the results of such an algorithm functioning. …”
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