Modelling and Simulation of Perturb and Observe MPPT Algorithm Based on The PI Controller for Photovoltaic System by Ahlam Mohamad Shakoor, Hersh Hasan Taha

“…The proposed model is used to simulate and optimize the photovoltaic array output current, voltage and power features under various environmental conditions including solar temperature and radiation. …”
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Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

“…In terms of transient amplitude and phase, the proposed method can control the error within 2.0. Ensure the efficiency and practical application effectiveness of cloud computing resource scheduling algorithms.…”
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An Image-Free Single-Pixel Detection System for Adaptive Multi-Target Tracking by Yicheng Peng, Jianing Yang, Yuhao Feng, Shijie Yu, Fei Xing, Ting Sun

“…Single-pixel tracking systems offer high efficiency and minimal data redundancy by directly acquiring target positions without full-image reconstruction. …”
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Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

“…Parameter estimation in MJSC achieved accurate energy output modeling under diverse environmental conditions. …”
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An Improved Model for Detecting the Presence of Pesticide Residues in Edible Parts of Tomatoes, Cabbages, Carrots, and Green Pepper Vegetables Using Batch Image Analysis by Nabaasa, Evarist, Natumanya, Deborah, Mabirizi, Vicent

“…The CNN design consists of three convolutional layers, with max pooling coming after each layer. A probabilistic output is then generated by two fully connected layers. …”
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Enhanced Semantic Retrieval with Structured Prompt and Dimensionality Reduction for Big Data by Donghyeon Kim, Minki Park, Jungsun Lee, Inho Lee, Jeonghyeon Jin, Yunsick Sung

“…In the experiments, the proposed method was compared with structured-format RAG. After generating prompts utilizing two methods, silhouette scores were computed to assess the quality of embedding clusters. …”
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Optimized Image Dehazing Using Dark Channel Prior With Minimum Fusion and Improved Atmospheric Light Handling by Ahmad Hussain, Mansoor Iqbal, Sheraz Aslam, Saad Alahmari, Abdulwahab Alkharashi

“…The proposed method is evaluated on the SOTS Outdoor dataset from the RESIDE benchmark, comprising 500 pairs of real-world hazy and clear images. …”
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Aqua-MC as a simple open access code for uncountable runs of AquaCrop by Vahid Adabi, Hadi Ramezani Etedali, Asghar Azizian, Faraz Gorginpaveh, Ali Salem, Ahmed Elbeltagi

“…The results revealed that soil evaporation and yield predictions exhibited the highest uncertainty, while transpiration and biomass outputs were more stable. The study also highlighted that many parameters had low impact, suggesting that reducing the number of free parameters could enhance model efficiency. …”
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Quantifying Marine Carbon Dioxide Removal via Alkalinity Enhancement Across Circulation Regimes Using ECCO‐Darwin and 1D Models by Kay Suselj, Dustin Carroll, Daniel Whitt, Bridget Samuels, Dimitris Menemenlis, Hong Zhang, Nate Beatty, Anna Savage

“…We show that combining the rapid‐mCDR model with existing ECCO‐Darwin output allows for rapid characterization of OAE efficiency at any location globally. …”
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Joint Fault Diagnosis of IGBT and Current Sensor in LLC Resonant Converter Module Based on Reduced Order Interval Sliding Mode Observer by Xi Zha, Wei Feng, Xianfeng Zhang, Zhonghua Cao, Xinyang Chen

“…However, malfunctions in the switching transistor or current sensor can hinder the converter’s ability to maintain a resonant state and stable output voltage, leading to a notable reduction in system efficiency and output capability. …”
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Research of edge-aligned staggered double-vane traveling-wave tube at G-band by Wenbo Wang, Cunjun Ruan, Pengpeng Wang, Yaqi Zhao, Tianyi Xu

“…Results show that under the optimization of the efficiency improving methods of the TWT, a considerable power output can be realized. …”
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Implementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical... by M. A. Melgarejo, A. Pérez, D. Ruiz, A. Casas, F. González, V. González de Lena Alonso

“…The ROM is constructed through neural networks trained on Finite Element Method (FEM) outputs from multiple scenarios, resulting in a simplified yet highly accurate model that can be easily implemented digitally. …”
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Multiphysics Feature-Based State-of-Energy Estimation for LiFePO4 Batteries Using Bidirectional Long Short-Term Memory and Particle Swarm-Optimized Kalman Filter by Zhengpu Wu, Xu He, Haisen Chen, Lu Lv, Jiuchun Jiang, Lujun Wang

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Two key algorithms for intelligent inspection robots in electric bicycle charging sheds by Yingjian An, Ge Wei

“…This paper proposes two enhanced algorithms to address these issues: (1) a multi-root node RRT* (MS-RRT*) for efficient narrow-channel path planning, and (2) an improved SOLOv2-based instance segmentation method for small-target recognition. …”
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Boosting Skin Cancer Classification: A Multi-Scale Attention and Ensemble Approach with Vision Transformers by Guang Yang, Suhuai Luo, Peter Greer

“…Additionally, we employ ensemble learning techniques to combine the outputs of several deep learning models using majority voting. …”
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Improved Performance of AlGaInP Red Micro Light-Emitting Diodes by Sidewall Treatments of Citric Acid by Zhen-Jin Wang, Xin-Liang Ye, Chih-Chiang Yang, Wei-Chen Tu, Yan-Kuin Su

“…Among all citric acid-treated micro-LEDs, the sample with a 60 s wet etching process showed the best improvement, with the light output power and external quantum efficiency (EQE) increased by 31.08% and 5.4%, respectively. …”
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Optimizing power generation in a hybrid solar wind energy system using a DFIG-based control approach by Muhammad Salman, Syed Abdul Rahman Kashif, Muhammad Salman Fakhar, Akhtar Rasool, Abdulkerim Sherefa Hussen

“…The advantage of the established techniques lies in their capacity to swiftly and precisely monitor the ideal power output of the HSWES. The comprehensive simulations conducted provide compelling evidence for the efficacy of the proposed system in attaining optimal efficiency and stability, propelling the progress of sustainable energy solutions.…”
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ResnetCPS for Power Equipment and Defect Detection by Xingyu Yan, Lixin Jia, Xiao Liao, Wei Cui, Shuangsi Xue, Dapeng Yan, Hui Cao

“…Experimental results demonstrate that the proposed method significantly enhances network efficiency, reduces the total parameter storage space, and improves training efficiency without sacrificing accuracy. …”
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Enhancing Conventional Land Surveying for Cadastral Documentation in Romania with UAV Photogrammetry and SLAM by Lucian O. Dragomir, Cosmin Alin Popescu, Mihai V. Herbei, George Popescu, Roxana Claudia Herbei, Tudor Salagean, Simion Bruma, Catalin Sabou, Paul Sestras

“…The results demonstrate that the integration of aerial and terrestrial data acquisition enables precise building footprint extraction, with a reported RMSE of 0.109 m between the extracted contours and ground-truth total station measurements. The final cadastral outputs are fully compatible with GIS and CAD systems, supporting efficient land registration, urban planning, and historical site documentation. …”
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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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