Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models by Safwan Nadweh, Nabil Mohammed, Charalambos Konstantinou, Shehab Ahmed

“…The widespread adoption of photovoltaic (PV) energy contributes to carbon emissions reduction, cost minimization, and climate change mitigation, particularly in applications such as street lighting. However, efficiency is negatively impacted by variations in weather and temperature. …”
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A fuzzy multi-criteria decision-making for optimizing supply chain aggregate production planning based on cost reduction and risk mitigation by Noppasorn Sutthibutr, Kunihiko Hiraishi, Navee Chiadamrong

“…The findings underscore the model's capability to provide decision makers with a comprehensive supply chain aggregate production plan that not only optimizes the supply chain network and enhances operational efficiency and reliability but also significantly reduces costs and mitigates unsymmetrical skewness of risks associated with operational uncertainties.…”
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QFCOI-Enhancing Objective Quality Assessment for Compressed Omnidirectional Images With Fusion of Measures by Marek Simka, Ladislav Polak, Adam Zizien, Karel Fliegel

“…Results confirmed that QFCOI outperformed other conventional metrics, achieving the highest performance on the OMNIQAD dataset across multiple emerging compression algorithms, including High Efficiency Image File Format (HEIC), Joint Photographic Experts Group XL (JPEG XL), and AV1 Image File Format (AVIF). …”
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An Intelligent LoRaWAN-Based IoT Device for Monitoring and Control Solutions in Smart Farming Through Anomaly Detection Integrated With Unsupervised Machine Learning by Maram Fahaad Almufareh, Mamoona Humayun, Zulfiqar Ahmad, Asfandyar Khan

“…Predominantly, the study also indicates precision in the temperature variation prediction model through the use of the predictive model based on the linear regression and random forest algorithms. This improves smart farming practices developed for precision agriculture in terms of efficiency, productivity, and sustainability.…”
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Estimation of the Extent of Cervical Cancer Using Multiparametric Magnetic Resonance Imaging by Е. V. Tarachkova, E. V. Nikolaev, М. A. Shorikov, V. О. Panov, I. Е. Tyurin

“…Objective. To increase the efficiency of diagnosis and estimation of the local extent of a tumor process in cervical cancer (CC) using all modalities of multiparametric magnetic resonance imaging (mpMRI).Subjects and methods. …”
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Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination by Yidi Zhu, Qian Xiao, Hongjie Jia, Wenbiao Lu, Yu Jin

“…Day-ahead SOC trajectory is processed using linear interpolation to obtain intraday SOC trajectory, ensuring that the state of charge (SOC) constraints are satisfied. …”
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Fatigue strength prediction of Cobalt alloys using material composition and monotonic properties: ML-based approach by Subraya Krishna Bhat, Amritanshu Ranjan, Y S Upadhyaya, Vishwanath Managuli

“…By integrating ML-based fatigue strength prediction into material selection workflows, engineers can enhance design efficiency, reduce testing costs, and accelerate the development of Cobalt alloys for critical applications under cyclic loading conditions.…”
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AgNPs@CeO₂/Nafion Nanocomposite-Modified Electrode for the Sensitive Detection of Trace Lead (II) in Water Samples by Zhengying Guo, Peng Xu, Shiqing Zhou, Ruoxi Wu

“…By leveraging the oxygen vacancies and high electron transfer efficiency of CeO₂, the strong adsorption capacity of Nafion, and the superior conductivity of AgNPs, an AgNPs@CeO₂/Nafion/GCE electrochemical sensor was developed. …”
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Rice straw biochar mitigates metal stress in corn and assists in the phytoattenuation of a slag-contaminated soil by Venâncio de Lima Veloso, Fernando Bruno Vieira da Silva, Paula Renata Muniz Araújo, Taciana da Silva Paraizo, Edivan Rodrigues de Souza, Clístenes Williams Araújo do Nascimento

“…Chlorophyll fluorescence measurements showed a linear and positive relationship between photosystem II energy consumption efficiency (Fv/Fm) and RSB rates. …”
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Sliding mode control based dynamic voltage restorer for voltage sag compensation by Ashraf K. Abdelaal, Abdullah M. Shaheen, Attia A. El-Fergany, Mohammed H. Alqahtani

“…The reliability and efficiency of electrical power systems are critical for modern industries, which increasingly rely on electric machines and devices. …”
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Temporal Distribution of Milking Events in a Dairy Herd with an Automatic Milking System by Vanessa Lambrecht Szambelan, Marcos Busanello, Mariani Schmalz Lindorfer, Rômulo Batista Rodrigues, Juliana Sarubbi

“…These results suggest stable behavioral patterns within the specific AMS management conditions observed in this study and suggest that adjusting milking permissions and feeding strategies based on cow characteristics may improve system efficiency.…”
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AKTMD: Attention-KAN-Based Neural Networks for Transportation Mode Detection by Rui Li, Xueyi Song, Yunmei Wu, Xubo Yu, Hua Huang

“…Although previous studies have addressed fine-grained transportation mode detection, challenges including complex temporal correlations, non-linearities and interpretability required to further addressed. …”
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Optoelectric coordinated modulation of resistive switching behavior in perovskite based synaptic device by Yucheng Wang, Ruixi Huang, Wenyi Zhang, Dingyun Guo, Jiawei Zheng, Hexin Wang, Fobao Huang, Zhuoya Wang, He Guan

“…Abstract Triple cation halide perovskite (TCP) stands out as a superior photoelectric material, with a broader absorption range, higher absorption efficiency, and improved environmental stability. Due to its excellent synaptic plasticity, TCP facilitates advanced neural morphological operations like light-assisted learning. …”
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A New CDM-Based Approach for the Nonlinear Numerical Structural Analysis of Flax Fiber Reinforced Plastic by Rostislav Svidler, Roman Rinberg, Sascha Mueller, Lothar Kroll

“…As shown below, this type of implementation appears justified compared to a user material subroutine (UMAT) subroutine in terms of computational efficiency and practicality.…”
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Heat transport features of MHD hybrid nanofluids beyond variable fluid characteristics by Mudassar Qamar, Masood Khan, Muhammad Yasir, A.S. Alqahtani, M.Y. Malik

“…These scrutinies reveal the existence of dual nature solutions under the specific range of expanding/contracting factor and found that the thermal efficiency of the hybrid nanofluid is superior to that of nanofluid. …”
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Continuous Reynolds number effect analysis of the influence of vortex generator on the aerodynamic performance of airfoil by Yaya JIA, Jiacheng ZHAO, Wanpeng CAO, Qingkuan LIU, Shanning LYU

“…In order to effectively improve the power generation efficiency of large wind turbines, studies on the optimization measures for the aerodynamic performance of wind turbine airfoils were conducted. …”
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Trypsin Digestion Pretreatment of Kelp Samples and the Iodine Speciation Analysis of Iodate, Iodide, MIT, and DIT by HPLC-ICP-MS by Tong Chen, Wanjing Cui, Ziwei Bi, Yafei Guo, Guoliang Zhu, Xiuyun Pan, Zhiqiang Cui, Zhen Yang, Tianlong Deng

“…The linear ranges of the standard calibrations on four iodine species are 1.0–150 μg·L−1, and the detection limits are 1.62, 1.02, 1.59, and 2.55 μg·L−1, respectively, while the RSD values of four iodine species are all less than 2%. …”
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Square-Wave Spatial Optical Orthogonal Frequency-Division Multiplexing by Mohammed S. A. Mossaad, Kaichen Su, Warren Pawlikowski, Zhenyu Charlus Zhang, Steve Hranilovic, Lutz Lampe

“…Using a binary-level square-wave carrier signal eliminates the need for digital-to-analog conversion, non-linear pre-distortion hardware and the transmitter inverse Fourier transform, thereby greatly reducing the complexity of the transmitter in the luminaire. …”
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Non-Invasive Hydration Monitoring with a Graphene Dual Sweat Sensor by Joseph J. Q. Ng, Sergey Tkachev, Glendon C. F. Sim, Luiza Felippi de Lima, Gavin K. W. Koon, Alexandre P. Lima, Antonio H. Castro Neto

“…Sweat samples from an athlete during endurance exercise confirmed the sensor’s reliability, with results closely matching those of ICP-OES and outperforming the commercial analyzer in regards to accuracy and sample efficiency. This work represents a cross-validated study of a sweat-based sensor with a second analytical technique, highlighting its potential as a real-time hydration monitoring tool for use in sports and beyond.…”
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Mesoscale characteristics and role of low-level jets in a warm-sector severe torrential rain event in Xiamen on 18 April 2023 by Mengxue CUI, Hanyun ZHANG, Dehua CHEN, Xin HUANG, Zhizhong SU, Yajun HU

“…It has been maintained for a long time along the southern coast of Fujian, exhibiting low echo centroids and high precipitation efficiency. This combination causes severe torrential rain due to the"train effect". (3) The ZDR, KDP, CC are all large in the strong echo area of the quasi-supercell storm, with a lower centroid height compared to the classical supercell storm. …”
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