A Systematic Review and Evolutionary Analysis of the Optimization Techniques and Software Tools in Hybrid Microgrid Systems by Kawakib Arar Tahir

“…This study identifies key research trends, highlights gaps in the optimization strategies, and emphasizes the need for AI integration, broader adoption of open-source tools, and scalable optimization frameworks. …”
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Construction and optimization of health behavior prediction model for the older adult in smart older adult care by Qian Guo, Peiyuan Chen

“…Future improvements, integrating more data and optimizing technology, will strengthen its potential for providing comprehensive support in older adult care services.…”
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Integrating AI and Multi-objective Optimization for Enhanced Microgrid Energy Management Using Quadratic Programming by Agrawal Priyanka, Thethi H. Pal, Mohammad Q., Gupta Navya, Asha V., Reddy K. Jyothsna

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Data Siting and Capacity Optimization of Photovoltaic–Storage–Charging Stations Considering Spatiotemporal Charging Demand by Dandan Hu, Doudou Yang, Zhi-Wei Liu

“…To validate the model, we leverage large-scale GPS trajectory data from electric taxis in Shenzhen as a data-driven source of spatiotemporal charging demand. The research results indicate that the spatiotemporal distribution characteristics of different charging demands determine whether a charging station can become a PSCS and the optimal capacity of PV and battery within the station, rather than a fixed configuration. …”
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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…Achieving precise predictions is crucial for enhancing structural reliability and optimizing resource usage in construction projects. …”
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UAV Mission Computer Operation Mode Optimization Focusing on Computational Energy Efficiency and System Responsiveness by Oleksandr Liubimov, Ihor Turkin, Valeriy Cheranovskiy, Lina Volobuieva

“…The paper provides an experimental assessment of the ‘Boryviter 0.1’ computing platform, which is implemented on the ATSAMV71 microprocessor and operates under the open-source FreeRTOS operating system. The results are the basis for developing algorithms and energy-efficient design strategies for the mission computer to solve the optimization problem. …”
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Inverse Free Iterative Methods for Nonlinear Ill-Posed Operator Equations by Ioannis K. Argyros, Santhosh George, P. Jidesh

“…The error estimate is derived under a general source condition and is of optimal order. Some numerical examples involving integral equations are also given in this paper.…”
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Dynamic weighting factor assignment method for the predictive control of electrical drives by Kristóf Bándy, Péter Stumpf

“…Furthermore, the method determines the optimal value of weighting factors in real‐time with low added calculation complexity. …”
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Study of the energy flow and Global Warming Potential (GWP) of alfalfa and maize silage production with different water supply sources (a case study: Qazvin Plain) by Ehsan Khodarezaie, Korous Khoshbakht, Hadi Veisi, Mohammad Reza Nazari

“…This paper evaluates the energy flow and Global Warming Potential (GWP) of alfalfa and maize silage farms with two different water supply sources (well and canal) in Qazvin Plain.Material and methods: The data were collected through face-to-face interviews with farmers in the years 2018-2019. …”
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Assessment of Different Detection Methods in Bacteria Survival on Cotton and Polyester Textiles by Katarzyna Jekiel, Justyna Syguła-Cholewińska

“…Fabrics have a close contact with human skin and therefore they are the great source of pathogens and cause cross-contamination. …”
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A Novel Classification Method for Flutter Signals Based on the CNN and STFT by Shiqiang Duan, Hua Zheng, Junhao Liu

“…This novel flutter signal processing and classification method works by combining a convolutional neural network (CNN) with time-frequency analysis. …”
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Extracting Organic Compounds from Brewer's Spent Grain by Various Methods by Irina N. Gribkova, Larisa N. Kharlamova, Elena M. Sevostianova, Irina V. Lazareva, Maxim A. Zakharov, Olga A. Borisenko

“…The study featured the last 5–10 years of foreign and domestic analytical and technical publications on grain structure and extraction methods. Unlike the traditional acidic, alkaline, and enzymatic methods of grain processing, physical and mechanical methods aim at extracting biogenic peptides, phenolic compounds, and fatty acids. …”
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Review of frequency response strategies in renewable-dominated power system grids: Market adaptations and unit commitment formulation by Azeez O. Olasoji, D.T.O. Oyedokun, Samuel O. Omogoye, Chris Thron

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Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China by Zhonghe Zhao, Yuyang Li, Kun Liu, Chunsheng Wu, Bowei Yu, Gaohuan Liu, Youxiao Wang

“…The accurate monitoring and quantitative retrieval of soil moisture play a crucial role in optimizing agricultural water resource management. In recent years, the development of multi-source remote sensing technologies—such as high spatiotemporal resolution optical, radar, and thermal infrared sensors—has opened new avenues for efficient soil moisture retrieval. …”
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The effectiveness analysis of traditional and new landscape indexes in indicating flood risk of watersheds from the perspective of source-sink landscapes: A case study of Changsha,... by Lingxuan Zhang, Sheng Jiao, Jie Lu

“…This study identified effective traditional indexes and developed a new index based on flood risk formation mechanisms, advancing landscape pattern research in flood risk management from a source-sink perspective. The findings offer an effective ecological approach for stormwater management and provide valuable insights for optimizing landscape spatial patterns. …”
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Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution by Changping Sun, Xiaodi Zhang, Wei Zhang, Jiahao Liu, Zubing Zou, Leying Li, Cheng Wang

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Application of multi-source remote sensing technologies in identification and evolution mechanism analysis of creep landslides: a case study of Shibatai landslide in Wenchuan earth... by Defu Wang, Li Liu, Li Liu, Chao Luo, Xuehu Wen, Yongxin Li, Dongyu Ren, Wei Tang

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CAU²DNet: A Dual-Branch Deep Learning Network and a Dataset for Slum Recognition with Multi-Source Remote Sensing Data by Xi Lyu, Chenyu Zhang, Lizhi Miao, Xiying Sun, Xinxin Zhou, Xinyi Yue, Zhongchang Sun, Yueyong Pang

“…The efficient and precise identification of urban slums is a significant challenge for urban planning and sustainable development, as their morphological diversity and complex spatial distribution make it difficult to use traditional remote sensing inversion methods. Current deep learning (DL) methods mainly face challenges such as limited receptive fields and insufficient sensitivity to spatial locations when integrating multi-source remote sensing data, and high-quality datasets that integrate multi-spectral and geoscientific indicators to support them are scarce. …”
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Potential of Natural Sheep Casings Waste as a Sole Nitrogen Source for the Marine Microalga <i>Scenedesmus rubescens</i> MDP19 Growth and Lipid Production by Sanaa Ouzakar, Nadia Skali Senhaji, Francesca Rigano, Cinzia Cafarella, Francesco Cacciola, Luigi Mondello, Jamal Abrini

“…The meat industry is one of the main sources of organic waste in the food processing sector. …”
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SIU-ICUD: Focal Therapy for PCa — The Technique by Lara Rodriguez-Sanchez, Thomas J. Polascik, Kara Watts, Peter Ka-Fung Chiu, Mark Emberton, Behfar Ehdaie, Hashim U. Ahmed, Andre Abreu, Ardeshir R. Rastinehad, Rafael Sanchez-Salas

“…To further optimize FT, research should prioritize evaluating the safety and effectiveness of different energy sources for various lesion locations, focusing on the treatment area rather than the energy modality itself.…”
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