PO-InC-APSO: An Improved Hybrid MPPT Technique for Grid-Tied Partially Shaded Condition Photovoltaic Systems by N Shanker, Rao K. Srinivasa, E Srilakshmi

“…Partially shaded condition pose significant challenges for the effective operation of Maximum power point Tracking algorithm in the photovoltaic system.These challenges include the potential for the algorithms to become stuck at local maximum power points (LMPP), extended tracking durations, and power variations while attempting to achieve the global maximum power point (GMPP) for the boost converter. …”
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Enhancing Ability Estimation with Time-Sensitive IRT Models in Computerized Adaptive Testing by Ahmet Hakan İnce, Serkan Özbay

“…These findings highlight the importance of incorporating response time as an additive factor to improve ability estimation while maintaining fairness and interpretability. …”
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Clinical and imaging diagnosis of pediatric testicular microlithiasis: a physician’s dilemma by Ghada Habachi, Ghada Habachi, Ghada Habachi, Yosra Kerkeni, Yosra Kerkeni, Jouini Riadh, Jouini Riadh

“…Ultrasonographic (US) surveillance, while not mandatory, should be considered when accessible, especially in individuals with additional risk factors.…”
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Digital Image Analysis in Pathology: Benefits and Obligation by Arvydas Laurinavicius, Aida Laurinaviciene, Darius Dasevicius, Nicolas Elie, Benoît Plancoulaine, Catherine Bor, Paulette Herlin

“…To achieve the benefit of accuracy, pathologists will have to assume an obligation of validation and quality assurance of the image analysis algorithms. Reference values are needed to measure and control the accuracy. …”
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A Two-Stage Robust Optimization Strategy for Long-Term Energy Storage and Cascaded Utilization of Cold and Heat Energy in Peer-to-Peer Electricity Energy Trading by Yun Chen, Yunhao Zhao, Xinghao Zhang, Ying Wang, Rongyao Mi, Junxiao Song, Zhiguo Hao, Chuanbo Xu

“…The Nested Column and Constraint Generation (NC&CG) algorithm enhances privacy and solution precision. …”
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Multiple timescale variations in fronts in the Seto Inland Sea, Japan by M. Dong, X. Guo

“…Intra-tidal movements of tidal fronts corresponded to ebb and flood currents, while spring–neap tidal cycles and seasonal shifts influenced frontal positions and intensities. …”
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On the Gap to Channel Capacity of Generalized Low-Density Parity-Check Codes by Dongxu Chang, Qingqing Peng, Guanghui Wang, Guiying Yan, Dawei Yin

“…Secondly, based on the characteristics of GLDPC codes, we develop a Gaussian mixture approximation algorithm to approximate the message distributions in density evolution. …”
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Anatoly Vasiliev’s Theatre. Semiology of Continuity and the Way to a New Type of Theatrical System by A. I. Perevalov

“…The article highlights the elements of the Stanislavsky system present in Anatoly Vasiliev’s method, aiming to derive an algorithm for utilizing new opportunities based on established systems and techniques for training modern actors. …”
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Multi-objective game for fighting against Distributed Reflection DoS attacks in software-defined network by Vianney Kengne Tchendji, Mthulisi Velempini, Priva Chassem Kamdem

“…It includes a player utility-based algorithm to detect malicious flows (or nodes) and drop them (or patch them). …”
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CENPF as a Potential Biomarker Associated with the Immune Microenvironment of Renal Cancer by Meilin Chen MS, Xiuxin Tang MS, YanPing Liang MD, Tangdang Ding MS, Meifang He PhD, Dong Wang PhD, Ruizhi Wang PhD

“…Single-cell sequencing data from the GSE159115 dataset were analyzed, and the CIBERSORT algorithm was applied to evaluate the composition of tumor immune infiltrating cells (TIICs). …”
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A probability integral method modified model for accurately characterizing subsidence at the boundary of a mining area by Bang Zhou, Shengcai Li, Jianrong Kang, Lu Zhang, Jinman Zhang, Ming Li

“…The probability integral method (PIM) is an official prediction model for mining subsidence in China, while it is difficult to accurately predict the subsidence boundary of a mining area, and cannot scientifically and accurately evaluate the impact of coal mining on the deformation of coal transportation railways passing through the boundary, lacking effective guidance for railway protection. …”
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Research on Digital Morphogenesis and Sustainability of 3D Printing Bionic Materials Based on Convolutional Neural Networks by Shaoting Zeng, Renshui Zhang, Yifei Cai

“…Hence, digital methods are employed to create three-dimensional representations of leaf veins, spider webs, and dragonfly wings while preserving their structural performance advantages observed in nature. …”
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Integrated Thermal Management Strategy Using High-Value Prioritized Experience Replay Deep Reinforcement Learning for Battery Electric Vehicles by Yongqiang Jia, Guanghui Cao, Jinrui Gao

“…In low-temperature environments, electric vehicles rely on effective thermal management strategies (TMS) to rapidly heat the battery to its optimal operating temperature while maintaining cabin temperature within a comfortable range. …”
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Compact classification using the biomimetic properties of ultrafast spiking microlaser neurons by Gibaek Kim, Matthieu Dubernard, Sami V El-Nakouzi, Amir-Hossein Masominia, Sylvain Barbay, Laurie E Calvet

“…Here we show that a surrogate model based on a machine learning algorithm can accurately and efficiently describe a microlaser neuron’s biomimetic behavior for a specific targeted application. …”
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Student’s t Kernel-Based Maximum Correntropy Criterion Extended Kalman Filter for GPS Navigation by Dah-Jing Jwo, Yi Chang, Yun-Han Hsu, Amita Biswal

“…A fixed-point iterative algorithm is used for state update, and a new posterior error covariance expression is derived. …”
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A novel hybrid fruit fly and simulated annealing optimized faster R-CNN for detection and classification of tomato plant leaf diseases by E. Gangadevi, Ben Othman Soufiane, Balamurugan Balusamy, Firoz Khan, Masresha Getahun

“…By hybridizing the fruit fly optimization algorithm and simulated annealing, the Faster R-CNN’s hyper-parameter issues are addressed, and the convergence rate is improved. …”
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Exploring Important Factors in Predicting Heart Disease Based on Ensemble- Extra Feature Selection Approach by Howida Abubaker, Farkhana Muchtar, Alif Ridzuan Khairuddin, Ahmad Najmi Amerhaider Nuar, Zuriahati Mohd Yunos, Carolyn Salimun

“…As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. …”
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Spatiotemporal pattern analysis of land use in Jiangsu Province based on long-term time series remote sensing images by Zhendong Ji, Lingzhi Yin, Jinhong Wang

“…Principal Component Analysis (PCA) was applied to reduce feature dimensionality, and the Random Forest classification algorithm was optimized with Bayesian Optimization and Tree-structured Parzen Estimators (TPE) for improved performance. …”
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Development of Differentiated E-Learning to Improve Students' Motivation and Learning Independence at SMAN 1 Panggang, Gunungkidul Regency by Ari Mardian, Herman Dwi Surjono

“…The initial trial involved three diverse Phase F students, while the product testing was conducted on two classes: a control group and an experimental group, each comprising 36 Phase F students. …”
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High-resolution global modeling of wheat’s water footprint using a machine learning ensemble approach by Murat Emeç, Abdullah Muratoğlu, Muhammed Sungur Demir

“…Machine learning (ML) methods offer advantages through their ability to process complex data relationships efficiently while maintaining high prediction accuracy. Previous ML applications in WF estimation have focused primarily on regional scales. …”
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