Modelling the future of cleaner energy: Explainable artificial intelligence model for green hydrogen production rate estimation by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh

“…The connection weights algorithm applied to the model enhances its explainability by illustrating the relative contributions of each input variable and their impacts on hydrogen yield. …”
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Spatial Downscaling of GRACE Groundwater Storage Based on DTW Distance Clustering and an Analysis of Its Driving Factors by Huazhu Xue, Hao Wang, Guotao Dong, Zhi Li

“…High-resolution groundwater storage is essential for effective regional water resource management. While Gravity Recovery and Climate Experiment (GRACE) satellite data offer global coverage, the coarse spatial resolution (0.25–0.5°) limits the data’s applicability at regional scales. …”
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Control chart for geometrically distributed data based on Bayesian fast double bootstrap by Muhammad Yahya Matdoan, Muhammad Mashuri, Muhammad Ahsan

“…The proposed approach leverages the strengths of both bootstrap and double bootstrap techniques, while addressing their limitations through a computationally efficient algorithm. …”
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Performance Optimization in Three-Modality Biometric Verification using Heterogeneous CPU-GPU Computation by Bopatriciat Boluma Mangata, Pierre Tshibanda wa Tshibanda, Guy-Patient Mbiya Mpoyi, Jean Pepe Buanga Mapetu, Rostin Mabela Matendo Makengo, Eugène Mbuyi Mukendi

“…The main objective is to reduce the time required for verification while maintaining the system's accuracy. The design of this system is based on a decision fusion algorithm based on the logical OR connector, enabling the results of the three modalities to be combined. …”
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Development of a microwave low-pass filter based on a microstrip line projection mode by A. D. Yarlykov, O. A. Demin

“…The work set out to develop an algorithm and a method for calculating filters using a projection approach to the electrodynamic analysis of microstrip lines that reduces the time required to calculate characteristics of microwave filters while maintaining high accuracy of the obtained results.Methods. …”
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Sliding Mode Control of a Photovoltaic Water Pumping System by Ali Berboucha, Kamel Djermouni, Kaci Ghedamsi, Elyazid Amirouche, Said Aissou, Djamal Aouzellag

“…A solar water pumping system that uses photovoltaic energy has the potential to be a dependable and effective way to pump water while using sustainable energy sources.…”
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Helicopter Turboshaft Engines’ Neural Network System for Monitoring Sensor Failures by Serhii Vladov, Łukasz Ścisło, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Tomasz Perzyński, Viktor Vasylenko, Victoria Vysotska

“…The developed system demonstrated anomaly detection accuracy at 99.327% after 200 training epochs, with a reduction in loss from 2.5 to 0.5%, indicating stability in anomaly processing. A training algorithm incorporating temporal regularization and a combined optimization method (SGD with RMSProp) accelerated neural network convergence, reducing the training time to 4 min and 13 s while achieving an accuracy of 0.993. …”
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Is there still a French eating model? A taxonomy of eating behaviors in adults living in the Paris metropolitan area in 2010. by Julien Riou, Thomas Lefèvre, Isabelle Parizot, Anne Lhuissier, Pierre Chauvin

“…The model of three rigorously synchronized meals is still followed by a majority of people, while meal frequencies have flattened in other European or North-American countries. …”
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Elevational dynamics of vegetation changes in response to climate change on the Tibetan plateau by Guang Pu, Lingyu Han, Liangliang Chen, Dan Wan, Hongfen Teng

“…However, this trend varies with elevation: greening is most pronounced below 1000 m, followed by 1000–2000 m and 3000–4000 m, while the weakest greening occurs at 2000–3000 m. …”
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Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model by Moses Oluwatobi Fajobi, Olumuyiwa Ajani Lasode, Adekunle Akanni Adeleke, Peter Pelumi Ikubanni, Ayokunle Olubusayo Balogun, Prabhu Paramasivam

“…The Gaussian membership function (Gauss-mf) was implemented for the fuzzification of input variables, while the hybrid algorithm was selected for the learning and mapping of the input-output dataset. …”
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Aerodynamic Optimization of Morphing Airfoil by PCA and Optimization-Guided Data Augmentation by Ao Guo, Jing Wang, Miao Zhang, Han Wang

“…A Multi-Island Genetic Algorithm (MIGA) efficiently explores the reduced design space, while iterative retraining of the surrogate model enhances prediction accuracy, particularly in high-performance regions. …”
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A Road-Adaptive Vibration Reduction System with Fuzzy PI Control Approach for Electric Bicycles by Chao-Li Meng, Van-Tung Bui, Chyi-Ren Dow, Shun-Ming Chang, Yueh-E (Bonnie) Lu

“…A fuzzy-based control algorithm is adopted to dynamically select the appropriate assistance level, aiming to minimize vibration while maintaining velocity and acceleration within thresholds associated with comfort and safety. …”
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Clinical characteristics and severity of hand, foot, and mouth disease by virus serotype: A prospective hospital-based cohort study. by Yu Li, Junmei Yang, Lu Liang, Kai Wang, Lance Turtle, Peng Li, Yonghong Zhou, Yuanfang Shen, Peng Cui, Chongchen Zhou, Qi Qiu, Chun Guo, Mengyao Zeng, Lu Long, Tianchen Zhang, Malik Peiris, Benjamin J Cowling, Tom Solomon, Yibing Cheng, Peng Wu, Hongjie Yu

“…The study utilised a prospective, hospital-based cohort design and a tiered diagnostic algorithm incorporating real-time RT-PCR and nested RT-PCR for serotyping. …”
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Automatic Calculation of Average Power in Electroencephalography Signals for Enhanced Detection of Brain Activity and Behavioral Patterns by Nuphar Avital, Nataniel Shulkin, Dror Malka

“…Results indicate that the IIR Chebyshev filter, configured with a 0.5% passband ripple and a fourth-order design, outperformed the alternatives by effectively reducing average power while preserving signal fidelity. This optimized filtering approach significantly improves the accuracy of neural signal visualizations, thereby facilitating the creation of detailed brain activity maps. …”
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Energy Management of Industrial Energy Systems via Rolling Horizon and Hybrid Optimization: A Real-Plant Application in Germany by Loukas Kyriakidis, Rushit Kansara, Maria Isabel Roldán Serrano

“…Industrial energy systems are increasingly required to reduce operating costs and CO₂ emissions while integrating variable renewable energy sources. …”
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Automated Detection and Classification of Sleep Spindles using Machine Learning and Signal Processing Techniques by Sindhu Faiza, Rehman Hafiz Zia Ur, Khan Zeashan, Moshayedi Ata Jahangir

“…This study aims to classify and automate the detection of sleep spindles from raw physiological signals using computational methods and AI. While global efforts are underway to accurately detect sleep spindles using AI, most involve classical signal processing techniques like wavelet transforms and STFT. …”
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A comparative study of ultra-massive MIMO intelligent receivers with adversarial robustness and energy efficiency for 6G applications by Pushkar Nidagundi, Advesh Darvekar, Malik Amber, Ramesh R

“…The Taguchi method yields up to 40 % improvement in energy efficiency while maintaining near-perfect BER. Practical implications of massive power consumption, system complexity, and execution time are discussed, alongside a comparative analysis with recent neural network and genetic algorithm optimizations. …”
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BC-RFMS: blockchain-based rankable fuzzy multi-keyword search scheme by Lixiang Zheng, Hanlin Zhang, Xinrui Ge, Jie Lin, Fanyu Kong, Leyun Yu

“…We also proposed a block-by-block transfer algorithm to prevent surpassing the GasLimit when uploading data to the blockchain. …”
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A Finite Element–Finite Volume Code Coupling for Optimal Control Problems in Fluid Heat Transfer for Incompressible Navier–Stokes Equations by Samuele Baldini, Giacomo Barbi, Giorgio Bornia, Antonio Cervone, Federico Giangolini, Sandro Manservisi, Lucia Sirotti

“…The state equations are solved in the finite volume code, while the adjoint and the control are solved in the finite element code. …”
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A Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition by Yuehan Liu, Ruxin Wang, Ye Li, Yishan Wang

“…The core of the DM-ACL strategy is a semi-supervised online learning algorithm that uses the kNN model to provide auxiliary labels for real-time sEMG signals, enhancing the robustness and adaptability of the deep learning model. …”
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