Machine learning-driven design of wide-angle impedance matching structures for wide-angle scanning arrays by Sina Hasibi Taheri, Javad Mohammadpour, Ali Lalbakhsh, Slawomir Koziel, Stanislaw Szczepanski

“…Machine learning (ML) algorithms are integrated to evaluate WAIM characteristics, reducing calculation time and resources while enhancing adaptability to new structures with minimal designer intervention. …”
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Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models by Ayub Mohammadi, Khalil Valizadeh Kamran, Sadra Karimzadeh, Himan Shahabi, Nadhir Al-Ansari

“…More findings illustrated that accuracy was obtained as 86.61 for bag-ADTree model, while it was 85.44 for ADTree method. Based on AUC, success and prediction rates were 0.736 and 0.786 for bag-ADTree algorithm, in order, while these proportions were 0.714 and 0.784 for ADTree. …”
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Optimal Autonomous Control for Distribution Transformer Area With High Photovoltaic Penetration Based on CSBO-LSTM by Yukai Wei, Chun He, Zhuo Chen, Yinyuan Guo, Zongyuan Li

“…The model takes maximizing PV power consumption as the core objective, while considering voltage stability regulation and minimum network loss, to construct a multi-objective optimization function. …”
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GS-ReLoc: A Gaussian-Splatting Relocalization Method for Robust and Accurate Mono Camera Pose Estimation by Karoly Fodor, Andras Rovid

“…For a query frame, the algorithm identifies the best-matching database entry using a kd-tree structure, providing an initial pose estimate informed by the augmented database. …”
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Efficient energy management using fuzzy logic control in a gym microgrid with stationary bikes, PV generation, and battery storage systems by Abdelfattah El Azzab, Abdelmounime El Magri, Ilyass El Myasse, Rachid Lajouad

“…The main objective of this work is to investigate the feasibility of powering gym loads using the DC bus through grid-tied inverters, while ensuring efficient energy management and user-specific operation. …”
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Instance Assignment Coverage Feature for Operation Control of SAT Solver by Zhihui Li, Shuwei Chen, Guanfeng Wu, Yang Xu

“…Although numerous studies from diverse perspectives have been conducted, there remains a need to develop efficient methods and algorithms to meet the requirements for enhancing the performance efficiency of SAT solving. …”
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Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…Automated, reliable patient-level classification has the potential to minimize pathologists’ effort while improving diagnosis accuracy. The objective of this work is to propose and standardize a new framework that combines a Graph Neural Network (GNN) with Hessian-based Locally Linear Embedding (HLLE) to better understand cancer metastasis in lymph nodes, while DeepLab is used to effectively segment each location. …”
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Convergence of root ectomycorrhizal fungal communities across Pinaceae developmental stages in temperate forests in northeastern China by Dongxue Zhao, Yulian Wei, Ting Cao, Yiwei Yuan, Jiarui Yu, Zhen Bai, Haisheng Yuan

“…As Pinaceae matured, EMF alpha diversity notably increased, while their Bray-Curtis dissimilarity significantly decreased. …”
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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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UWB Base Station Deployment Optimization Method Considering NLOS Effects Based on Levy Flight-Improved Particle Swarm Optimizer by Shengliang Wang, Ming Gao, Ling’ai Li, Dong Lv, Yingqi Li

“…The experimental results of the underground garage demonstrate that the optimal 13 BS layout scheme, obtained through LPSO, outperforms the 7 BS layout scheme by 34.9% while reducing the horizontal dilution of precision (HDOP) values by 81.7%. …”
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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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