Amplitude and Phase Calibration with the Aid of Beacons in Microwave Imaging Radiometry by Aperture Synthesis: Algebraic Aspects and Algorithmic Implications by Eric Anterrieu

“…The performances of both amplitude and phase calibration are then assessed by means of numerical simulations with emphasis on the sensitivity of the accuracy to the inversion method as well as to various errors.…”
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Size-dependent catalytic and antibacterial effects of phytogenically synthesized silver nanoparticles

“…(Malvaceae) (HH-AgNPs). The optimization process including the four main parameters of extract-to-silver volume ratio, silver ion concentrations, reaction time, and reaction temperature, was carried out using Taguchi method. …”
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Molecular and Microstructural Engineering Strategies for High-Performance Polypropylene Insulation Materials by Zhaoliang Xing, Hao Ge, Deshen Li, Shaowei Guo, Bo Yang, Chunjia Gao, Bo Qi, Jianhong Hao

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Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation by Junwei Li, Yang Yu, Zengqiang Mi, Jian Wu

“…Finally, to elucidate the contribution of random samples to typical demand features, a sample weighting method utilizing clustering categories is proposed and a distance‐minimum optimization model is constructed to estimate typical features by leveraging the “group effect” concept. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. In this context, mobile surveying is a consolidated method for data collection in urban environments. …”
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Design and Construction of an Improvised Vertical Axis Wind Turbine. by Owamaani, Babrah

“…The use of wind energy for energy generation is one of the oldest methods for harnessing renewable energy. The use of renewable energy is an essential ingredient of socio-economic development and economic growth. …”
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Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification. by M Amudha, K Brindha

“…This model proposes to address the drawbacks of conventional CNNs, which are resource-intensive and time-consuming, by using optimization methods that reduce processing complexity and enhance classification accuracy. …”
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Choice of Anesthesia for Orthopedic Surgery in Elderly and Senile Patients (Review) by I. A. Lisichenko, V. G. Gusarov

“…Management of elderly and senile patients is a major challenge due to significant comorbidity, especially in surgery under general anesthesia.The aim of the review was to identify the optimal method of anesthesia for knee arthroplasty in elderly patients based on the available clinical and experimental studies.We searched PubMed, Medline, and Elibrary.ru databases for relevant sources. …”
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Hybrid RSA-ROA Scheduling Algorithm for Minimization of Power Loss and Improving the Renewable with Sustainable Energy Harvesting in Power System by Cuddapah Anitha, Virendra Swaroop Sangtani, Ajay Kumar Bansal, Mahaveerakannan R., R. Rajesh Sharma, Saravanan M. S.

“…To maximize the harvesting of renewable energy sources (RES) and minimize power scheme losses, this study provides an optimal generation scheduling strategy for a power scheme combined with distributed generation (DG) and sustainable energy storage systems (ESSs). …”
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Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

“…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
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Single-particle-thick microstructures fabricated through controlled withdrawal of particles from a dispersion meniscus by Y. Harkavyi, G. Tiwari, Z. Rozynek

“…The physical mechanisms governing structure formation are examined, and key sources of instability are identified to support process optimization. …”
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Collaborative Scheduling Framework for Post-Disaster Restoration: Integrating Electric Vehicles and Traffic Dynamics in Waterlogging Scenarios by Hao Dai, Ziyu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Liang He, Longlong Shang, Dafu Liu, Jiaju Shi, Ziwen Xu, Chen Chen

“…This study proposes a collaborative scheduling framework for post-disaster restoration in waterlogging scenarios, addressing the impact of waterlogging on both transportation and distribution systems. The method integrates electric vehicles (EVs), mobile power sources (MPSs), and repair crews (RCs) into a unified optimization model, leveraging an improved semi-dynamic traffic assignment (SDTA) model that accounts for temporal variations in road accessibility due to water depth. …”
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The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China by Mingzheng Deng, Xiangyi Lu, Ruibin Tong, Yan Xue, Shuaihang Shi, Rui Guo

“…Despite growing interest in this area, the relationship between green finance and the optimization of end-use energy consumption remains underexplored, particularly in the context of regional disparities.MethodsThis study investigates the impact of green finance on end-use energy consumption structure across 30 provinces in China from 2014 to 2021. …”
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Technologies for Distributed Generation: key performance factors for industrial application by G. G. Nalbandyan, S. S. Zholnerchik

“…To identify the effects of the introduction of distributed generation technologies, the method of case study analysis is used. The empirical analysis was carried out on the basis of twelve Russian companies that use their own energy sources. …”
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Research Status and Prospects of Distribution Network Planning Technology Based on Artificial Intelligence by LI Jingru, LI Hongjun, MA Liang, JIANG Shigong, MU Chaoxu, SI Chenyi

“…The traditional planning method based on manual decision-making hinders distribution network optimization due to massive factors， complex structures， and numerous pieces of equipment. …”
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Advanced Anomaly Detection in Smart Grids Using Graph Convolutional Networks With Integrated Node and Line Sensor Data by Mahdi Zarif, Ramin Moghaddass

“…Also, an optimization model was developed to find the most likely sources of anomalies across all nodes and edges of the network. …”
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Federated Learning for Real-Time Demand Response by Data Centers Toward Energy Efficiency and Privacy Preservation by Mohannad Alhazmi, Alexis Pengfei Zhao, Wanzi Li, Chenlu Yang

“…We evaluate various demand response programs by the proposed method in different scenarios and case studies to demonstrate their efficacy in adapting to energy consumption patterns for optimal energy usage and cost reduction. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…Most current approaches focus on shallow learning methods such as community analysis, ego network or selection of subspace method. …”
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State-of-the-art Absorption Refrigeration and Heat Pump Cycles by Chen Guangming, Shi Yuqi

“…As the first artificial refrigeration method developed, absorption refrigeration has been around for more than 200 years. …”
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Polyhydroxyalkanoates (PHAs): Key Challenges in production and sustainable strategies for cost reduction within a circular economy framework by Manaswini Gundlapalli, Sunantha Ganesan

“…Advancements in fermentation process optimization, along with novel downstream processing solutions such as cost-effective extraction methods, green solvents, and solvent recycling, are explored to further reduce production costs. …”
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