A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements by Xiaoshuang Jiao, Jinming Chen, Lifeng Jiang, Weiping Li, Xiaochao Yang, Weiwei Wang, Jun Zhang

“…Finally, using inter-node measurements, a pseudo-linear system of equations is constructed to complete the three-node aerial target localization. …”
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Power System State Estimation through Optimal PMU Placement and Neural Network using Whale Algorithm by SeyedHamed MirMohammadAli Roudaki, Mehrdad Abedi, Iraj Pourkeivani

“…The efficient operation and planning along with security of power systems have always occupied an important position. …”
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SpyKing—Privacy-preserving framework for Spiking Neural Networks by Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique

“…These findings highlight the potential of SNNs in privacy-preserving AI and underscore the growing need for secure yet efficient neural computing solutions.…”
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Prediction Analysis of Pre-Camber for Continuous Girder Bridge Cantilever Casting Construction Based on DBO-CNN-BiLSTM-Attention Neural Network by Jinyang Zhang, Haiqing Liu, Xiangen Gong, Ming Lei, Zimu Chen

“…However, traditional methods for predicting pre-camber have limited accuracy and primarily handle linear relationships. Therefore, this paper proposes a pre-camber prediction model based on a Convolutional-Bidirectional Long Short-Term Memory network with a fusion attention mechanism (CNN-BiLSTM-Attention) and utilizes the Dung Beetle Optimizer (DBO) algorithm to optimize the hyperparameters of the CNN-BiLSTM-Attention model to enhance its predictive performance. …”
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Densely populated macrocyclic dicobalt sites in ladder polymers for low-overpotential oxygen reduction catalysis by Zhen Zhang, Zhenyu Xing, Xianglin Luo, Chong Cheng, Xikui Liu

“…Abstract Dual-atom catalysts featuring synergetic dinuclear active sites, have the potential of breaking the linear scaling relationship of the well-established single-atom catalysts for oxygen reduction reaction; however, the design of dual-atom catalysts with rationalized local microenvironment for high activity and selectivity remains a great challenge. …”
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Doppler effects in UAV‐to‐vehicle multipath channels under 6D mobility by Junwei Bao, Zhuangzhuang Cui, Yang Miao, Qiuming Zhu, Kai Mao, Boyu Hua

“…Abstract Unmanned aerial vehicle (UAV) empowered vehicular networks are capable of providing flexible radio access, efficient data transmission, and secure driving operation. …”
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Integrating Proximal and Remote Sensing with Machine Learning for Pasture Biomass Estimation by Bernardo Cândido, Ushasree Mindala, Hamid Ebrahimy, Zhou Zhang, Robert Kallenbach

“…We applied the Boruta algorithm for feature selection to identify influential biophysical predictors and evaluated four machine learning models—Linear Regression, Decision Tree, Random Forest, and XGBoost—for biomass prediction. …”
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Fast and Adaptive Multi-Agent Planning under Collaborative Temporal Logic Tasks via Poset Products by Zesen Liu, Meng Guo, Weimin Bao, Zhongkui Li

“…Efficient coordination and planning is essential for large-scale multi-agent systems that collaborate in a shared dynamic environment. …”
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Optimization of methane production through co-digestion of pig manure with napier grass by Ariya Santaweesuk, Apichart Artnaseaw, Chatchai Benjapiyaporn

“…The goal was to identify optimal conditions for maximizing methane yield and improving the efficient use of these materials for sustainable energy. …”
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An evaluation study on immigrants′ transport system adaptation behaviour: Turkey example by Metin Mutlu Aydin, Eren Dağli, Mehmet Sıddık Çadirci

“…Statistical analyses, including multiple linear regression and decision tree classifier, reveal that age is the most significant predictor of long-term transport adaptation. …”
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Development of a heat exchanger device- regenerator for high-temperature gas heating by D. A. Bazykin, A. I. Sukhov, A. V. Barakov

“…At the same time, it is possible to equip the developed apparatus with a convection heat exchanger for more efficient use of the heat of the fuel combustion products. …”
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A deep learning approach: Physics-informed neural networks for solving the 2D nonlinear Sine–Gordon equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…In the current work, we apply a physics-informed neural networks (PINNs), a machine learning approach, for solving the non-linear hyperbolic sine–Gordon problem with two space dimensions. …”
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High resistance fault detection in DC microgrid using Hilbert Huang transform and vector-based ensemble optimized LSTM networks by H. K. Prashanth Kumar, Ritesh Dash, K. Jyotheeswara Reddy, Nageswara Rao Atyam, Bhabasis Mohapatra

“…Abstract The increasing adoption of DC microgrids, driven by the integration of renewable energy sources and the need for efficient power systems, necessitates advanced fault detection mechanisms. …”
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Flavonoids in Different Parts of Lysimachia clethroides Duby Extracted by Ionic Liquid: Analysis by HPLC and Antioxidant Activity Assay by Jin-feng Wei, Zhi-juan Zhang, Li-li Cui, Wen-yi Kang

“…The mobile phases a and b consisted of acetonitrile-0.4% phosphoric acid (18 : 82, v/v), methanol (A), and 0.4% phosphoric acid (B), respectively. Linear ranges were 0.068~1.64, 0.060~1.44, 0.0080~0.19, and 0.0077~0.18 μg for isoquercitrin, astragalin, quercetin, and kaempferol, respectively. …”
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Inversion of County-Level Farmland Soil Moisture Based on SHAP and Stacking Models by Hui Zhan, Peng Guo, Jiaxin Hao, Jiali Li, Zixu Wang

“…Accurate monitoring of soil moisture in arid agricultural regions is essential for improving crop production and the efficient management of water resources. This study focuses on Shihezi City in Xinjiang, China. …”
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Benchmarking and Target Setting in Weight Restriction Context by Hernán P. Guevel, Nuria Ramón, Juan Aparicio

“…To this end, we developed a mixed-integer linear programming (MILP) model under the assumption of Variable Returns to Scale in DEA. …”
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Predicting tuberculosis drug properties using extended energy based topological indices via a python driven QSPR approach by Kiran Naz, Hafiz Muhammad Bilal, Muhammad Kamran Siddiqui, Sarfraz Ahmad, Mustafa Ahmed Ali

“…The Python-based QSPR methodology, in addition to elucidating the high correlation of the topological descriptors with the properties of drugs, offers a drug design and optimization process in pharmaceutical research in an efficient way.…”
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Methods for Connecting a Concentrically Shaped Sensing Element of Microaccelerometers on Surface Acoustic Waves by M. A. Sorvina, A. S. Kukaev

“…Previous work has proposed the concept of concentric electrodes, which are more energy efficient compared to linear designs. However, concentric elements are difficult to connect to the electrical circuit, due to the impossibility of connecting the busbars directly. …”
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Lamotrigine Extraction and Quantification by UPLC-DAD in Plasma from Patients with Bipolar Disorder by Claudia V. Palacios-Magaña, Elba M. Romero-Tejeda, Nicté S. Fajardo-Robledo, Luis J. González-Ortiz, José G González-Mendez, Fermín P. Pacheco-Moisés

“…The working interval for the evaluation of the method ranged from 0.05 to 12 µg/mL, and the linear fit of the experimental data has a value of r2≥0.98. …”
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Investigation of a Multi-Strategy Ensemble Social Group Optimization Algorithm for the Optimization of Energy Management in Electric Vehicles by Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana

“…A multi-strategy ensemble social group optimization algorithm (ME-SGO) to improve the exploration for complex and composite landscapes through distance-based strategy adaption and success-based parameter adaption while incorporating linear population reduction is proposed. The proposed method is designed to achieve a better balance between exploration and exploitation with minimal tuning while overcoming the limitations of SGO. …”
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