A review of the influencing factors of building energy consumption and the prediction and optimization of energy consumption by Zhongjiao Ma, Zichun Yan, Mingfei He, Haikuan Zhao, Jialin Song

“…Against the backdrop of factors influencing building operation energy consumption, we reviewed the advancements in research pertaining to the supervision and prediction of building energy consumption, deliberated on more energy-efficient and low-carbon strategies for buildings within the dual-carbon context, and synthesized the relevant research progress across four dimensions: The contemporary state of building energy consumption supervision, the determinants of building operation energy consumption, and the prediction and optimization of building energy consumption. …”
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Optimizing battery health monitoring in electric vehicles using interpretable CART–GX model by Mohnish Karthikeyan B, Anirudh N, Navaneetha Krishnan S, Christopher Columbus C, Aravind C. K

“…Such advancements contribute to the development of a more efficient and sustainable EV ecosystem, supporting the broader adoption of EVs and the transition to cleaner transportation technologies.…”
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Optimization of Ground Station Energy Saving in LEO Satellite Constellations for Earth Observation Applications by Francesco Valente, Francesco Giacinto Lavacca, Marco Polverini, Tiziana Fiori, Vincenzo Eramo

“…Orbital Edge Computing (OEC) capability on board satellites in Earth Observation (EO) constellations would surely enable a more effective usage of bandwidth, since the possibility to process images on board enables extracting and sending only useful information to the ground. …”
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A new score function for optimizing transportation problems in complex Pythagorean fuzzy environment by Rajkumar Verma, Anushri Verma, Pranav Dass, Chaubey Vishal

“…Initially,we establish an improved score function value to evaluate the ordering of CPyFNs more precisely and propose several ranking rules. …”
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Design optimization platform for assistive wearable devices applied to a knee damper exoskeleton by Asghar Mahmoudi, Stephan Rinderknecht, Andre Seyfarth, Maziar A. Sharbafi

“…However, as the number of design parameters increases, the growing complexity and dimensionality of the design space make identifying optimal solutions more challenging. Predictive simulation, which models movement without relying on experimental data, provides a powerful tool for anticipating the effects of assistive devices on the human body and guiding the design process. …”
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An Enhanced Distribution System Performance with Optimization Techniques for Location of Electrical Vehicle Charging Stations by Sainadh Singh Kshatri, Venkata Anjani Kumar G, Chilakapati Lenin Babu, Palepu Suresh Babu

“…The proposed GWO-based optimization strategy offers a significant contribution to make power distribution infrastructure more dependable and efficient in order to handle the growing number of EVs. …”
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A Small-Sample Scenario Optimization Scheduling Method Based on Multidimensional Data Expansion by Yaoxian Liu, Kaixin Zhang, Yue Sun, Jingwen Chen, Junshuo Chen

“…Currently, deep reinforcement learning has been widely applied to energy system optimization and scheduling, and the DRL method relies more heavily on historical data. …”
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Application of Topology Optimization as a Tool for the Design of Bracing Systems of High-Rise Buildings by Paulo Ulisses da Silva, Gustavo Bono, Marcelo Greco

“…Additionally, topology optimization via the Bi-directional Evolutionary Structural Optimization (BESO) method was applied to determine the optimal bracing system under wind-induced loads. …”
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Response surface optimization of ciprofloxacin degradation using UV/O3 oxidation process by Wahyu Zuli Pratiwi, H. Hadiyanto, W. Widayat, Rifqi Ahmad Baihaqi

“…These findings highlight the potential of the UV/O3 process to reduce antibiotic contamination in wastewater, contributing to developing more sustainable water treatment technologies.…”
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Numerical Simulation Study on Adjoint-Based Optimization of a Propeller Using Reverse Engineering by Hao Wang, Yaoqing Liao, Mingge Shen, Sujie Zhou, Gang Xu

“…In order to enhance the performance of existing propellers, a study has been carried out on the adjoint-based optimization of propellers based on reverse engineering. …”
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Genomic selection optimization in blueberry: Data‐driven methods for marker and training population design by Paul Adunola, Luis Felipe V. Ferrão, Juliana Benevenuto, Camila F. Azevedo, Patricio R. Munoz

“…To this end, we used a historical blueberry (Vaccinium corymbosun L.) breeding dataset containing more than 3000 individuals, genotyped using probe‐based target sequencing and phenotyped for three fruit quality traits over several years. …”
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RSM-based optimization of recycled aggregate concrete with pozzolanic materials under high temperatures by Muhammad Saqib Khan, Aman Ulhaq, Deema Mohammed Alsekait, Muhammad Faisal Javed, Mohammed Jameel, Hisham Alabduljabbar, Diaa Salama Abdelminaam

“…The study highlights the potential of combining SCMs with RSM-based optimization to enhance the fire resistance of RAC. These findings contribute to the development of more durable, eco-efficient concrete materials, particularly for fire-prone or high-temperature environments, and support the advancement of sustainable construction practices.…”
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Arctic tern-optimized weighted feature regression system for predicting bridge scour depth by Jui-Sheng Chou, Asmare Molla

“…This study's notable contributions include the development of an innovative optimization algorithm named Arctic Terns Optimizer (ATO), proficiency in solving high-dimensional optimization problems, and the creation of a user-friendly graphical interface system, a promising tool for civil engineers to estimate scour depth at bridges. …”
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Machine Learning-Driven Optimization for Solution Space Reduction in the Quadratic Multiple Knapsack Problem by Diego Yanez-Oyarce, Carlos Contreras-Bolton, Fredy Troncoso-Espinosa, Carlos Rey

“…This approach reduces the solution space for exact solvers, allowing them to tackle more manageable problems. The methodological process is detailed, in which ML models are generated and the best one is selected to be used as a preprocessing approach. …”
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Optimizing Antenatal Care: The Effects of a Holistic Nursing Android Application for Pregnant Women by Desmawati Desmawati, Rita Ismail

“…Conclusions: The program effectively increased ANC optimization. Pregnant women feel more at ease in their own homes and have less time to visit a hospital. …”
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A New Approach of Disaster Forecasting Based on Least Square Optimized Neural Network by Fanbao Meng, Suolin Jing, Xizhen Sun, Changxiang Wang, Yanbo Liang, Da Pang

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Optimal thresholds and key parameters for predicting influenza A virus transmission events in ferrets by Troy J. Kieran, Xiangjie Sun, Taronna R. Maines, Jessica A. Belser

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Precise deloading optimization strategy for wind farm based on the accurate estimation of maximum power by Chang Xu, Minghui Yin, Zaiyu Chen, Qun Li, Qiang Li, Yun Zou

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Mask-Space Optimized Transformer for Semantic Segmentation of Lithium Battery Surface Defect Images by Daozong Sun, Jiasi Chen, Peiwen Wu, Yucheng Pan, Hongsheng Zhong, Zihao Deng, Xiuyun Xue

“…Specifically, the Mask Boundary Loss (MBL) module in our model provides more efficient supervision during training to enhance the accuracy of the mask computation within the mask attention mechanism, thereby improving the model’s performance in separating foreground and background. …”
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Data-oriented optimized nonuniform quantization for CR-enhanced communication efficiency in federated learning by Shuai Luo, Qiming Wan, Hongrui Wang, Tianchun Xiang, Yang Wang, Xin He, Wei Zhang

“…Unlike conventional methods, which apply uniform quantization or fixed-level distributions, Non-QuanFL allocates more quantization levels to frequently occurring gradient values and minimizes distortion by preserving critical gradient information. …”
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