Ultra Wideband radar-based gait analysis for gender classification using artificial intelligence by Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, Sandra Dudley, Julio César Martínez Espinosa, Luis Alonso Dzul López, Isabel de la Torre Díez

“…While several biometric methods such as facial recognition, voice analysis, activity monitoring, and gait recognition are commonly used, their accuracy and reliability often suffer due to challenges like body part occlusion, high computational costs, and recognition errors. This study investigates gender classification using gait data captured by Ultra-Wideband radar, offering a non-intrusive and occlusion-resilient alternative to traditional biometric methods. …”
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A Method to estimate the economy-wide consequences of widespread, long duration electric power interruptions by Ian Sue Wing, Peter H. Larsen, Juan Pablo Carvallo, Alan Sanstad, Dan Wei, Adam Rose, Sunhee Baik, Jeremy Smith, Christopher Ramee, Ridge Peterson

“…We surveyed their customers about hypothetical blackouts, identifying and classifying mitigating/resilience behaviors and quantifying their costs and benefits. Survey results are scaled up to the broader regional economy, and used to drive a computational general equilibrium (CGE) simulation of the effects of power interruptions and attendant customer responses (e.g., relocation, backup generation). …”
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Peak Shaving Strategy in the Context of the Charging Process of a Battery Energy Storage System in the Railway Microgrid by Piotr Obrycki, Krzysztof Perlicki, Marek Stawowy

“…Peak shaving is one of the key mechanisms implemented in technically advanced power grids, including rail networks, to reduce the demand for costly power generation during peak hours. Energy storage systems are commonly used for this purpose. …”
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Energy management technology of new microgrid with hybrid virtual energy storage by FU Yuan, WEI Jiahui, ZHANG Xiangyu, LIU Zhuolin, LI Shanxi

“…Virtual capacitance, current and state-of-charge are introduced to establish an economic calculation model for a new type of microgrid with multiple types of flexibility resources considering wind and solar uncertainties and hybrid virtual energy storage, which takes into account water purification from seawater desalination loads in microgrids, electricity sales from electric vehicles and hydrogen production revenues as well as the comprehensive operation and maintenance costs. On this basis, the energy management strategy of the new microgrid with hybrid virtual energy storage is proposed, and the virtual capacitance and virtual current are used to call multiple types of flexibility resources, update the virtual charging state of the equipment, and improve the level of cooperative operation of the system. …”
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Sustainability-based comparison of local bahareque and conventional reinforced concrete structural system for social housing construction by Alid Rocha-Tamayo, Natividad García-Troncoso, Natividad García-Troncoso, Irene Josa, Albert de la Fuente

“…Indicators were defined through studies and expert surveys.ResultsThe analysis included material and construction costs, resource consumption, emissions, and social impacts like working conditions. …”
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Operation of the Appliances Based-Demand Response Modeling in Smart Buildings by Yabing Li, Shaojie Zhang, Huili Guo, Yanli Zhou

“…The second tier focuses on reducing both consumption costs and consumer discomfort, taking into account the optimized energy usage established in the first tier. …”
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mRNA vaccine quality analysis using RNA sequencing by Helen M. Gunter, Senel Idrisoglu, Swati Singh, Dae Jong Han, Emily Ariens, Jonathan R. Peters, Ted Wong, Seth W. Cheetham, Jun Xu, Subash Kumar Rai, Robert Feldman, Andy Herbert, Esteban Marcellin, Romain Tropee, Trent Munro, Tim R. Mercer

“…Currently, mRNA vaccines and therapies are analysed using a range of time-consuming and costly methods. Here we describe a streamlined method to analyse mRNA vaccines and therapies using long-read nanopore sequencing. …”
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Research on an Intelligent Sedimentary Microfacies Recognition Method Based on Convolutional Neural Networks Within the Sequence Stratigraphy of Well Logging Curve Image Groups by Xinyi Yuan, Xidong Wang, Shutian Wang, Feng Tian, Zichun Yang

“…Traditional facies interpretation methods, reliant on manual log-response parameter analysis, are constrained by interpreter subjectivity, reservoir heterogeneity, and inefficiencies in resolving thin interbedded sequences and concealed fluvial sand bodies—issues marked by high interpretive ambiguity, prolonged cycles, and elevated costs. This study focuses on the Lower Cretaceous Yaojia Formation Member 1 (K2y1) in the satellite oilfield of the Songliao Basin, integrating sequence stratigraphy into a machine learning framework to propose an innovative convolutional neural network (CNN)-based facies recognition method using log-curve image groups by graphically transforming five log curves and establishing a CNN model that correlates log responses with microfacies. …”
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AI for Predicting Pavement Roughness in Road Monitoring and Maintenance by Christina Plati, Angeliki Armeni, Charis Kyriakou, Dimitra Asoniti

“…These results confirm that ANNs are a useful tool for engineers by predicting future IRI values, as they help to extend pavement life and reduce overall maintenance costs. The integration of machine learning into pavement evaluation is a promising step forward in ongoing efforts to optimize pavement management.…”
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Influence of Mining Layout on Efficiency of NRE Drill Rig by Vječislav Bohanek, Paulo Pleše, Sibila Borojević Šoštarić, Ruža Purkić, Ema Vokić

“…An optimal combination of mining techniques and equipment is essential to ensure the effective exploitation of the ore deposit while minimizing costs and maximizing productivity. This paper briefly overviews existing mechanized mining machines for narrow reef mining. …”
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Efficient and Explainable Bearing Condition Monitoring with Decision Tree-Based Feature Learning by Trong-Du Nguyen, Thanh-Hai Nguyen, Danh-Thanh-Binh Do, Thai-Hung Pham, Jin-Wei Liang, Phong-Dien Nguyen

“…Bearings are critical components in rotating machinery, where early fault detection is essential to prevent unexpected failures and reduce maintenance costs. This study presents an efficient and interpretable framework for bearing condition monitoring by combining the Wavelet Packet Transform (WPT)-based feature extraction with a Decision Tree (DT) classifier. …”
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REDISEÑO DE LOS PROCESOS DEL ÁREA DE COMPRAS E INVENTARIOS DE LA EMPRESA CONOS DEL SUR A TRAVÉS DE LA APLICACIÓN DEL BPM by DIANA CAROLINA MARTÍNEZ MONTERO, ÉVER ÁNGEL FUENTES ROJAS

“…Finally, the proposed solutions are applied, with very positive results such as the reduction of up to 58% in some costs,in which work can continue to achieve better results.…”
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Leveraging Seawater Thermal Energy Storage and Heat Pumps for Coupling Electricity and Urban Heating: A Techno-Economic Analysis by Timur Abbiasov, Aldo Bischi, Manfredi Gangi, Andrea Baccioli, Paolo Santi, Carlo Ratti

“…Using Amsterdam as a case study, we develop a techno-economic model leveraging real-world data on electricity prices, heat demand, and system costs. Our findings show that large-scale TES using seawater as a storage medium significantly enhances district heating economics through energy arbitrage and operational flexibility. …”
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Functional characterization of hybrid porphyrincarbon dot nanostructures for optimized photocatalytic performance by Banta Evangelia, Kampouri Christina, Ladomenou Kalliopi, Kravari Kalliopi, Roussi Maria, Thysiadou Anna, Chalaris Michail

“…However, conventional remediation methods are often energy-intensive, costly, and prone to producing secondary pollutants. …”
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A fiber optic approach for cement placement and hydration assessment of deep geothermal boreholes by Johannes Hart, Berker Polat, Christopher Wollin, Martin Lipus, Felix Schölderle, Toni Ledig, Philippe Jousset, Thomas Reinsch, Charlotte M. Krawczyk

“…Furthermore, it can reduce costs and improve society’s acceptance of deep geothermal wells in urban areas.…”
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An exact implementation of the generalized Zhang-Zhu criterion for elasto-plastic finite element calculations by Lianjin Tao, Linkun Huang, Xu Zhao, Johan Clausen, Qi Zhang, Boyang Jiao, Hehua Zhu

“…Current research primarily focuses on modified smooth GZZ criteria or approximate solutions, which inevitably lead to increased computational costs or inaccuracies. In this paper, an accurate stress updating algorithm is proposed based on the original GZZ criterion. …”
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Closing the loop on water supply and sanitation: The dynamic links between population, ecosystems, and economic interactions by Jean M P De Paula, Francisco S Pinto, Amílcar Arantes, Rui C Marques

“…Water Supply and Sanitation (WSS) services face challenges as high investment costs, contextual characteristics and constraints, and conflicting interests. …”
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ICU Delirium in Cardiac Patients by Hina Faisal, Souha Farhat, Navneet K. Grewal, Faisal N. Masud

“…It is associated with increased morbidity and mortality, prolonged hospitalizations, cognitive impairments, functional decline, and hospital costs. The incidence of delirium in cardiac patients varies based on the criteria used for the diagnosis, the population studied, and the type of surgery (cardiac or not cardiac). …”
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Multi-objective programming method for ship weather routing based on fusion of A* and NSGA-II by Yuankui LI, Jiyuan SUO, Dongye YU, Xinyu ZHANG, Fang YANG, Xuefeng YANG

“…ConclusionIn summary, the proposed method can be applied to optimize ship ocean routes under multiple constraint conditions and identify routes that meet the voyage objectives, thereby reducing operational costs, improving shipping efficiency and providing support for ship meteorological navigation and future intelligent ship navigation.…”
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Optimizing navigation and chemical application in precision agriculture with deep reinforcement learning and conditional action tree by Mahsa Khosravi, Zhanhong Jiang, Joshua R. Waite, Sarah E. Jones, Hernan Torres Pacin, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar

“…HAM-PPO consistently achieves higher yield recovery percentages and lower chemical costs across a range of infestation scenarios. The framework also exhibits robustness to observation noise and generalizability under diverse environmental conditions, adapting to varying infestation ranges and spatial distribution patterns.…”
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