Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks by Stephen Afrifa, Tao Zhang, Peter Appiahene, Xin Zhao, Vijayakumar Varadarajan, Thomas Atta-Darkwah, Yanzhang Geng, Daniel Gyamfi, Rose-Mary Owusuaa Mensah Gyening

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Predictive Modeling of River Water Temperatures in Catu River: A Neural Network-Based Approach by Carmen Goncalves de Macedo e Silva, José Roberto de Araújo Fontoura, Alarcon Matos de Oliveira, Thais de Souza Neri, Roberto Luiz Souza Monteiro, Thiago Barros Murari, Alexandre do Nascimento Silva, Leandro Brito Santos, Marcos Batista Figueredo

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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

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Investigating Enhanced Cooling Load Estimation through Hybrid LSSVR Models by Ali Hassan, Hamza Rashid

“…Conversely, artificial intelligence exhibits superior performance, employing adaptable models adept at pattern recognition and self-improvement as data accumulates. …”
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Study on internal resistance of Li-ion power battery by Shaohua Cui, Jiaxun Sun, Zhaofeng Liu, Jiasen Sheng, Yunfei Chen, Han Yu, Dong Zhang

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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

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Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean by Vladimir Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler

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CURDIS: A template for incremental curve discretization algorithms and its application to conics by Philippe Latour, Marc Van Droogenbroeck

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The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions by Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser

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Integrating hedge algebras and optimization techniques to reduce forecasting errors in fuzzy time series model by Nghiêm Văn Tính

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Multimodal Learning for Traffic Risk Prediction: Combining Aerial Imagery With Contextual Data by Hanlin Tian, Yuxiang Feng, Mohammed Quddus, Yiannis Demiris, Panagiotis Angeloudis

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Design and Development of Gorilla Optimized Deep Resilient Architecture for Prediction of Agro-Climatic Changes to Increase the Crop–Yield Production by Deepa Devarashetti, S. S. Aravinth

“…In addition, global warming has fueled climatic unpredictability, creating challenges like hurricanes that damage the foundational roots of agricultural production. In recent times, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) techniques have been predominantly adopted for daily forecasting climatic conditions, including rainfall, maximum temperature, and humidity. …”
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Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning by Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang

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The Semantics and Collocations Relation in Food Reviews by Fazel Keshtkar, Ledong Shi, Syed Ahmad Chan Bukhari

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Advanced Hybrid RNN Architectures for Real-time Cryptocurrency Forecasting and Strategic Trading Optimization by Kehelwala Dewage Gayan Maduranga, Shamima Nasrin Tumpa

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GRU–Transformer Hybrid Model for GNSS/INS Integration in Orchard Environments by Peng Gao, Jinzhen Fang, Junlin He, Shuang Ma, Guanghua Wen, Zhen Li

“…Compared with the conventional ES-EKF, the proposed method achieves reductions in position root mean square error (PRMSE) of 48.74% (East), 41.94% (North), and 61.59% (Up), and reductions in velocity root mean square error (VRMSE) of 71.5% (East), 39.31% (North), and 56.48% (Up) in the East–North–Up (ENU) coordinate frame. …”
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Spatiotemporal Evolution Characteristics of Time-Delay Ecological Competition Systems with Food-Limited and Diffusion by Feilong Wang, Min Xiao, Zhengxin Wang, Jing Zhao, Gong Chen, Jinde Cao

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Experimental Study of Heat Flux Distribution of Arc Driven by AC Magnetic Field by Naomi Matsumoto, Takeo Yamamoto, Masaya Sugimoto, Koichi Takeda

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Progress in developments and applications of the HYDRUS model and associated coupling model packages by Taotao WANG, Bei ZHANG, Huihua CHEN, Jianwei HUI, Long HAO, Liang CHEN

“…Future research should focus on the following aspects: (1) Considering the effects of different planting years, different root types, and different root characteristics such as root length, root diameter, root volume, and root density in the simulation of plant root effect by HYDRUS. (2) Accumulating more transport parameters for new pollutants, including diffusion, adsorption, and degradation, to improve the simulation of pollutant transport. (3) Enhancing the description and simulation of the heterogeneity of unsaturated zone media. (4) Strengthening the acquisition and determination of parameters through the integration of Machine Learning and Artificial Intelligence. (5) Further developing and applying HYDRUS coupling models to enable comprehensive simulations of the entire process of surface water, soil water, and saturated groundwater during seepage.…”
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Temperature Compensation Method for Tunnel Magnetoresistance Micro-Magnetic Sensors Through Reference Magnetic Field by Tao Kuai, Qingfa Du, Jiafei Hu, Shilong Shi, Peisen Li, Dixiang Chen, Mengchun Pan

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