Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data by Bappa Roy, Shuma Adhikari, Subir Datta, Kharibam Jilenkumari Devi, Aribam Deleena Devi, Taha Selim Ustun

“…Maximum Power Point Tracking (MPPT) is essential for maximizing the efficiency of solar photovoltaic (PV) systems. While numerous MPPT methods exist, practical implementations often lean towards conventional techniques due to their simplicity. …”
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Development of an Integrating Sphere-Based Wide-Range Light Source System for the Linearity Evaluation of a Photodetector Used in Radiation Detection and Bioanalysis Instruments by Tetsuro Matsumoto, Akihiko Masuda, Minoru Tanabe, Seiya Manabe, Hideki Harano, Kazuki Niwa

“…Non-linearity characteristics were also successfully measured in detail at a higher output range. Neutron detector operation requires both calibration of the detection efficiency and evaluation of the linearity between the neutron dose and its output. …”
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The Effects of Temperature on Photovoltaic and Different Mitigation Techniques: A Review by Zuhair Muhammed Alaas

“…This paper provides invaluable insights for enhancing the performance of small-scale home photovoltaic systems. The efficiency boost of the PV panel depends on several factors, such as cooling methods, module type and size, geographic location, and time of year. …”
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Motion Control Study of Two-legged Wheeled Robot by Checao YU, Xinzhi MA, Xuejun ZHU, Xudong YANG, Huige LAI, Aidi YANG

“…Therefore, proposing an efficient method for the motion control of a two-legged wheeled robot is of great practical significance.Methods This study adopts the idea of a distributed model to establish the dynamics model of the leg-wheel and torso subsystems and address the issue with the huge structure of the overall dynamics model of the two-legged wheeled robot, which is not conducive to characterization and the construction of the controller. …”
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Measuring device for systems of technical vibro-diagnosis of power equipment by I. V. Bryakin, I. V. Bochkarev

“…RELEVANCE. Among the various methods for assessing the technical condition of power equipment, vibration diagnostics occupies an important place. …”
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Quantum-inspired robust optimization for coordinated scheduling of PV-hydrogen microgrids under multi-dimensional uncertainties by Yunxiao Bai, Yu Sui, Xiaoyu Deng, Xiangbing Wang

“…These include fluctuations in PV output, stochastic hydrogen demand, and volatile market prices. …”
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CAU²DNet: A Dual-Branch Deep Learning Network and a Dataset for Slum Recognition with Multi-Source Remote Sensing Data by Xi Lyu, Chenyu Zhang, Lizhi Miao, Xiying Sun, Xinxin Zhou, Xinyi Yue, Zhongchang Sun, Yueyong Pang

“…The efficient and precise identification of urban slums is a significant challenge for urban planning and sustainable development, as their morphological diversity and complex spatial distribution make it difficult to use traditional remote sensing inversion methods. …”
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Research Progress on Spectroscopic Analysis of Key Elements in Reprocessing of Spent Nuclear Fuel by Yan-lin WANG, Yu-ning YANG, Tao-xiang SUN

“…First, it is necessary to systematically study the chemical species and spectral patterns of different metal ions and establish a standard model to realize accurate analysis. Second, more efficient spectral analysis methods should be developed to meet the challenges of spectral overlap and baseline drift. …”
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An integrated strain-level analytic pipeline utilizing longitudinal metagenomic data by Boyan Zhou, Chan Wang, Gregory Putzel, Jiyuan Hu, Menghan Liu, Fen Wu, Yu Chen, Alejandro Pironti, Huilin Li

“…This approach specifically targets tracking a primary strain and a secondary strain for each subject, providing their respective proportions and SNVs as output. With extensive simulation studies of a microbial community and single species, our results demonstrate that LongStrain is superior to two genotyping methods and two deconvolution methods across a majority of scenarios. …”
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Multi‐objective optimization of inductive power transfer system with reconfigurable topology for misalignment tolerance by Junfeng Yang, Qiujiang Liu, Xu Yang, Yanru Zhang

“…Moreover, primary zero voltage switching operation is achieved to enable high efficiency. The simulation and the experimental verification are carried out to verify the validity of the proposed method.…”
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Lean manufacturing implementation in food and beverage SMEs in Tanzania: using structural equation modelling (SEM) by Juma M. Matindana, Mary J. Shoshiwa

“…Abstract Currently globally industries are increasingly adopting lean production methods to enhance operational efficiency and overall business performance. …”
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Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. by Michael E Kim, Chenyu Gao, Nancy R Newlin, Gaurav Rudravaram, Aravind R Krishnan, Karthik Ramadass, Praitayini Kanakaraj, Kurt G Schilling, Blake E Dewey, David A Bennett, Sid O'Bryant, Robert C Barber, Derek Archer, Timothy J Hohman, Shunxing Bao, Zhiyuan Li, Bennett A Landman, Nazirah Mohd Khairi, Alzheimer’s Disease Neuroimaging Initiative, HABS-HD Study Team

“…The experiments show mostly high agreement among raters and slight differences with the automated QC method. While researchers must spend time on robust visual QC of data, there are mechanisms by which the process can be streamlined and efficient.…”
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Mexican axolotl optimization algorithm with a recalling enhanced recurrent neural network for modular multilevel inverter fed photovoltaic system by R. Madavan, B. Karthikeyan, R. Palanisamy, Mohammad Imtiyaz Gulbarga, Mohammed Al Awadh, Liew Tze Hui

“…The MAO algorithm optimally tunes control gain parameters offline, creating a dataset of optimal control signals, while the RERNN method predicts and applies real-time control signals, ensuring an efficient and stable power supply. …”
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Uncertain Parameters Adjustable Two-Stage Robust Optimization of Bulk Carrier Energy System Considering Wave Energy Utilization by Weining Zhang, Chunteng Bao, Jianting Chen

“…To ensure safe and reliable navigation despite uncertainties in wave energy output, onboard power loads, and outdoor temperature, a robust coordination method is adopted. …”
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Biosorption of chitosan-biochar microsphere for methyl red and biosorption enhancing effect of microsphere-microbe complex by Du Jingting, Sun Pengfei, Zhao Yuhua, Zhang Xin

“…The input layer had four neurons such as pH, initial dye concentration, temperature and adsorption time. The output layer had one neuron as adsorption capacity. …”
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INFLUENCE OF CONSUMPTION STRUCTURE FOR ENTERPRISE WHILE INTRODUCING ENERGY SAVING MEASURES by A. V. Ershov, V. T Dolgikh

“…Development of methods for complex efficiency evaluation of measures on energy saving can be based on usage of single-factor mathematical models for specific consumption of fuel and power resources by output volume. …”
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An Integrated Model for Simulating Regional Water Resources Based on Total Evapotranspiration Control Approach by Jianhua Wang, Xuefeng Sang, Zhengli Zhai, Yang Liu, Zuhao Zhou

“…Total evapotranspiration and water consumption (ET) control is considered an efficient method for water management. In this study, we developed a water allocation and simulation (WAS) model, which can simulate the water cycle and output different ET values for natural and artificial water use, such as crop evapotranspiration, grass evapotranspiration, forest evapotranspiration, living water consumption, and industry water consumption. …”
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A Novel Dual-Channel Hybrid Attention Model for Wind Turbine Misalignment Fault Diagnosis by Tong Tong, Xiang Liu, Jia Zhang, Dian Long, Teng Fan, Xiangyang Zheng

“…This module achieves efficient integration of features by adaptively fusing the multi-scale local features output from the hybrid U-Net decoder with the deep global features extracted from the ResNet50 backbone network through a dynamic weighting and expert selection mechanism. …”
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Optimization of Battery Thermal Management for Real Vehicles via Driving Condition Prediction Using Neural Networks by Haozhe Zhang, Jiashun Zhang, Tianchang Song, Xu Zhao, Yulong Zhang, Shupeng Zhao

“…Traditional strategies rely on real-time feedback and suffer from response lag and energy efficiency imbalance. In this study, we propose a neural network-based synergistic optimization method for driving conditions prediction and dynamic thermal management, which collects multi-scenario real-vehicle data (358 60-s condition segments) by naturalistic driving data collection method, extracts four typical conditions (congestion, highway, urban, and suburbia) by combining with K-means clustering, and constructs a BP (backpropagation neural network) model (20 neurons in the input layer and 60 neurons in the output layer) to predict the vehicle speed in the next 60 s. …”
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MIWO based MPPT of PV system for induction motor driven water pumping system by S. Anbuchandran, D. Silas Stephen, M. Arumuga Babu, A. Bhuvanesh

“…The hybrid P&O-MIWO method's outcomes are compared with those of P&O hybridization with GA, PSO, and GWO to assess efficiency under various PSCs. …”
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