SDA-Net: A Spatially Optimized Dual-Stream Network with Adaptive Global Attention for Building Extraction in Multi-Modal Remote Sensing Images by Xuran Pan, Kexing Xu, Shuhao Yang, Yukun Liu, Rui Zhang, Ping He

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Comparative life cycle assessment and route optimization modeling of smart versus conventional municipal waste collection: Environmental impact analysis in an urban context by Hossein Nematollahi, Saeid Gitipour, Nasser Mehrdadi

“…Future research should prioritize developing recyclable components, integrating renewable energy sources, and optimizing end-of-life management strategies. …”
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On the corpus of speech samples with errors in the use of Russian as a foreign language: methods of data representation and deep markup parameters by S. V. Gusarenko, M. K. Gusarenko

“…The purpose of the study, the results of which are presented in the article, is to develop the optimal composition and method of presenting data in the developed corpus of Russian speech samples with errors made by foreign students. …”
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Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…The power management controller is a combination of the twisting sliding-mode controller (TSMC) and Modified Pufferfish Optimization Algorithm (MPOA). The proposed method is implemented, and the application results are matched with the Mountain Gazelle Optimizer (MSO) and Beluga Whale Optimization (BWO) Algorithm by evaluating the PV power output, EV power, battery-power and battery-energy utilization, grid power, and grid price to show the merits of the proposed work.…”
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A Vision-Based Procedure with Subpixel Resolution for Motion Estimation by Samira Azizi, Kaveh Karami, Stefano Mariani

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A Hybrid Multi-Criteria Decision-Making and Multi-Objective Framework for Optimal Sizing of PV-Powered EV Charging Station With Battery Storage by Soumya Sathyan, V. Ravikumar Pandi, Preetha Sreekumar, Nishant Thakkar, Surender Reddy Salkuti

“…A Multi-Objective Particle Swarm Optimization (MOPSO) approach is employed to identify optimal configurations in the first layer, which are then evaluated using a hybrid TOPSIS-AHP-based Multi-Criteria Decision-Making (MCDM) method to select the most balanced solution in the second layer. …”
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A Review on State-of-Charge Estimation Methods, Energy Storage Technologies and State-of-the-Art Simulators: Recent Developments and Challenges by Muhtahir O. Oloyede, Godfrey A. Akpakwu, Herman C. Myburgh, Allan De Freitas, Tawanda Kunatsa

“…Batteries are a main source of energy and are usually monitored by management systems to achieve optimal use and protection. …”
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Research on dynamic prediction and optimization of high altitude photovoltaic power generation efficiency using GVSAO-CNN Model under 8-climate modes by Xiaoming Xiong, Heng Hu, Qiangfu Jia, Rongjian Zhang, Chongan Huang, Qingyuan Lu

“…Abstract In the face of mounting global energy demands and increasing environmental pressures, the transition to clean energy sources, such as photovoltaic (PV) power generation, is imperative. …”
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Evaluating Colilert and ChromAgar methods for the detection of ESBL bacteria in water samples from urban markets in Blantyre, Malawi by Miss Effita Masoamphambe, Dr Derek Cocker, Prof Nicholas Feasey, Dr Kondwani Chidziwitsano, Miss Mindy Panulo, Dr David Berendes, Dr Amy Kirby, Prof Tracy Morse

“…Variations in the results obtained from conventional ChromAgar and ESBL Colilert methods highlight that more research is required to optimize microbiological methods for the recovery and identification of AMR bacteria from environmental samples to enable accurate surveillance.…”
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Reproducibility of the visual palatability of the crumb of bread and a novel sensory evaluation method using images presented on a screen by Yukinori Sato

“…In addition, sensory evaluation measurement using a projector was confirmed to be useful. Finally, the optimal light source for the crumb of white bread was TL83. …”
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Robust Expansion Planning of Electric Vehicle Charging System and Distribution Networks by Yue Xiang, Ping Xue, Yanliang Wang, Lixiong Xu, Wang Ma, Miadreza Shafie-khah, Junlong Li, Junyong Liu

“…Results indicate the planning scheme that considers economic and reliability benefit can perform better than traditional optimization methods.…”
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Enhanced production and purification of L-asparaginase from Bacillus paralicheniformis AUMC B-516 with potent cytotoxicity against MCF-7 cell lines by Abdullah Abobakr Saleh, Hamdy M. El-Aref, Azza M. Ezzeldin, Rania M. Ewida, Osama A. M. Al-Bedak

“…But studies aimed at improving production yields and new methods that use various microbes to expand the scope of application for the generated enzyme are also necessary for industrial manufacturing. …”
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EV charging stations for sustainable urban transport electrification in the Arabian Peninsula: Performance assessment, social-economic aspects, opportunities, implementation challe... by Jamiu O. Oladigbolu, Asad Mujeeb, Mohd Bilal, Yusuf A. Al-Turki, Saleh S. Alharbi, Salah S. Alharbi

“…Comprehensive simulations and comparative analyses demonstrate that the HGWCSA achieves the lowest Levelized cost of energy (LCOE) at $0.08/kWh and the minimum Total net present cost (TNPC) of $103,267, significantly reducing CO2 emissions compared to traditional optimization methods. Furthermore, sensitivity analyses validate the optimized system’s adaptability and long-term viability across diverse operational scenarios, significantly advancing sustainable urban transport electrification strategies.…”
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A Reliability Assessment Method for Distribution Networks Based on Conditional Generative Adversarial Network and Multi-agent Reinforcement Learning by Huihui XU, Yunfei TIAN, Yuyang ZHAO, Jing PENG, Qingxin SHI, Rui CHENG

“…To enhance computational efficiency and accuracy in reliability assessment of distribution networks with large-scale distributed photovoltaic integration, a novel assessment method is proposed based on conditional generative adversarial network and multi-agent reinforcement learning. …”
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Multi‐objective interval planning for 5G base station virtual power plants considering the consumption of photovoltaic and communication flexibility by Dawei Zhang, Xudong Cui, Changbao Xu, Shigao Lv, Lianhe Zhao

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4E Analysis of solar photovoltaic, wind, and hybrid power systems in southern Pakistan: energy, exergy, economic, and environmental perspectives by Uzair Yousuf Muhammad, Malik Muhammad Hamza, Umair Muhammad

“…A weighted score analysis using the Factor Rating Method (FRM) identifies a 40 MW PVS and 9 MW WTS combination as the most feasible mix, offering substantial energy generation and carbon emissions reduction benefits. …”
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Framework for Personalizing Wearable Devices Using Real-Time Physiological Measures by Prakyath Kantharaju, Sai Siddarth Vakacherla, Michael Jacobson, Hyeongkeun Jeong, Meet Nikunj Mevada, Xingyuan Zhou, Matthew J. Major, Myunghee Kim

“…In this study, we present an open-source, device-independent personalization framework that allows for human-in-the-loop optimization. …”
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Optimasi Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function (RBF) Menggunakan Metode Particle Swarm Optimization Untuk Analisis Sentimen by Cucun Very Angkoso, Khozainul Asror, Ari Kusumaningsih, Andi Kurniawan Nugroho

“…The study investigates the effectiveness of the Particle Swarm Optimization (PSO) method for balanced and unbalanced datasets and how well it improves sentiment analysis accuracy when applied to the Support Vector Machine (SVM) algorithm when using Radial Basis Function (RBF) kernel. …”
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A Fault Diagnosis Method for Dry Vacuum Pump Bearing Based on Finite Element Simulation With Deep Transfer Learning by Yanfeng Wei, Haibin Liu, Min Wei, Mingfei Li

“…First, finite element simulation is used to model the bearing dynamics and create a fault dataset to address data collection challenges and verify the feasibility of the method. Secondly, an attention mechanism is introduced in the feature extraction layer, combined with a deep transfer learning framework based on domain adversarial networks, to optimize feature extraction and align source and target domain features, thereby improving the accuracy of fault diagnosis and model generalization ability. …”
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Industrial Testing of a Hybrid Technology for Water Purification from the Oka River Using the Method of Charcoalization with Powdered Sorbent by A. A. Filimonova, A. Yu. Vlasova, N. B. Karnitsky, N. D. Chichirova, R. F. Kamalieva

“…The article presents the method of charcoalization, which allows to neutralize pollution in a short time and improve the water treatment quality. …”
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