A Full-Fledged, Multi-Agent System Representing the Architecture of Smart Cities by Balancing Energy With Optimal Electricity Forecasting, Integrating Individual Comfort, and Extra... by M. Mahad Malik, Abdullah Altamimi, Syed Ali Abbas Kazmi, Zafar A. Khan, M. Waleed Ansari, Kamran Mujahid, Jiechao Gao

“…The integration of renewables, optimum consumption forecasts, adjusting consumer comfort, decentralized energy market structure and formulated algorithms have combined to reduce monthly electricity expenses by up to 94%. …”
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Integrating near-infrared hyperspectral imaging with machine learning and feature selection: Detecting adulteration of extra-virgin olive oil with lower-grade olive oils and hazeln... by Derick Malavi, Katleen Raes, Sam Van Haute

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Deciphering Socio-Spatial Integration Governance of Community Regeneration: A Multi-Dimensional Evaluation Using GBDT and MGWR to Address Non-Linear Dynamics and Spatial Heterogene... by Hong Ni, Jiana Liu, Haoran Li, Jinliu Chen, Pengcheng Li, Nan Li

“…By merging community-expressed sentiment mapping with morphometric urban analysis, this interdisciplinary research pioneers a protocol for socio-spatial integrated urban transitions—one where algorithmic urbanism meets human-scale needs, not technological determinism. …”
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Open-circuit diagnosis method based on dual-mode voltage residual model for T-type three-level inverter by Liming Song, Minxuan Liao, Rongkun Wang, Xinhua Guo

“…The method is based on the voltage residual method and is integrated with a three-level fault-tolerant algorithm. …”
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Research on cause analysis and management of coal mine safety risk based on social network and bow-tie model by Guorui Su

“…Abstract Accurate identification of coal mine safety risks is a crucial foundation for mitigating coal mine disasters. This study integrates social network analysis (SNA), the bow-tie model, and association rule mining to systematically analyze safety accident data from a coal mine. …”
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Ternary Toward Binary: Circuit-Level Implementation of Ternary Logic Using Depletion-Mode and Conventional MOSFETs by Hyundong Lee, Seonghoon Kim, Jongbeom Kim, Jaehoon Jeong, Jeonggyu Yang, Taigon Song

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Joint optimization of maintenance and demand response investments in distribution networks using a hybrid GA-SQP approach by Roshan Alirezaei, Reza Dashti, Mojtaba Mirhosseini

“…A hybrid optimization algorithm combining Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) is employed to solve the resulting nonlinear, mixed-integer problem. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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Advanced Queueing and Location-Allocation Strategies for Sustainable Food Supply Chain by Amirmohammad Paksaz, Hanieh Zareian Beinabadi, Babak Moradi, Mobina Mousapour Mamoudan, Amir Aghsami

“…<i>Methods:</i> The grasshopper optimization algorithm (GOA), a meta-heuristic algorithm inspired by the behavior of grasshopper swarms, is utilized to solve the model on a large scale. …”
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Three-Layer Framework Integrating Optimal Placement of Supervisory, Control, and Acquisition System Measurements with Clustering-Based Electric Substations Selection for State Esti... by Vasilica Dandea, Stefania Galbau, Mihai-Alexandru Baciu, Gheorghe Grigoras

“…In response to this challenge, a robust and resilient three-layer methodology has been proposed to solve the state estimate issue of the EDNs based on an optimal placement algorithm of the remote terminal units integrated into the SCADA system at the level of the EDSs. …”
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Refining source-specific lung cancer risk assessment from PM2.5-bound PAHs: Integrating component-based potency factors and machine learning in Ningbo, China by Lord Famiyeh, Ke Chen, Fiseha Berhanu Tesema, Celeb Kelly, Dongsheng Ji, Hang Xiao, Lei Tong, Zongshuang Wang, Jun He

“…ERT emerged as the most robust algorithm, identifying industrial emissions, coal combustion, and gasoline engine exhaust as the primary contributors to elevated LECR in Ningbo. …”
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Optimization of fuzzy bottleneck cost transportation models in the decision framework of congruence modulo technique by Kapil Kumar, Nandini, Tarun Kumar, Kailash Dhanuk, Anirudh Kumar Bhargava, M.K. Sharma

“…This article investigates the Congruence Modulo algorithm and time freezing method as innovative solutions for addressing fuzzy bottleneck cost transportation problems. …”
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DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…Cardio Vascular Diseases (CVDs) are one of the most prevalent causes of death in the world and require an appropriate early detection method that could satisfactorily integrate diversified patient data available in today's healthcare. …”
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Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification by Zuojun Zheng, Jianghao Yuan, Wei Yao, Paul Kwan, Hongxun Yao, Qingzhi Liu, Leifeng Guo

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Advanced machine learning techniques for predicting compressive strength and ultrasonic pulse velocity of concrete incorporating industrial by-products by Ehsan Mohsennia, Alireza Javid, Vahab Toufigh

“…Among the models tested, the CatBoost (CB) algorithm, optimized with the Whale Optimization Algorithm (WOA), exhibited outstanding predictive performance. …”
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A Machine Learning Approach to Predict Site Selection from the Perspective of Vitality Improvement by Bin Zhao, Hao Zheng, Xuesong Cheng

“…To enhance site selection and planning efficiency, we developed a predictive model integrating Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs). …”
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EHA-YOLOv5: An Efficient and Highly Accurate Improved YOLOv5 Model for Workshop Bearing Rail Defect Detection Application by Jiyong Hu, Hongfei Yang, Jiatang He, Dongxu Bai, Hongda Chen

“…This framework, designed specifically for the unique challenges presented by load-bearing rails, integrates advanced machine vision and deep learning technologies. …”
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A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility by Yongxing Lu, Honggen Xu, Can Wang, Guanxi Yan, Zhitao Huo, Zuwu Peng, Bo Liu, Chong Xu

“…Afterwards, an optimised sampling (OS) method was utilised to select negative samples by fusing the reliability of non-landslide samples and certainty factor values on the basis of the environmental similarity and statistical model. …”
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Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction by Zhichao Cao, Zhiwei Zhu, Weike Lu, Silin Zhang

“…This paper proposes an integrated optimization model for vessel scheduling and routing. …”
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Method for Estimating the Bandwidth Capacity of a Steganographic Communication Channel by Bobok I.I., Kobozieva A.A., Laptiev O.A., Savchenko V.A., Salii A.G., Kurtseitov T.L.

“…This is particu-larly relevant for digital content integrity verification and forensic analysis.…”
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