Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME by Md. Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Arnisha Akhter, Md Ashraf Uddin, Khandaker Mohammad Mohi Uddin

“…The clinical community has a lot of diabetes diagnostic data. Machine learning algorithms may simplify finding hidden patterns, retrieving data from databases, and predicting outcomes. …”
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A Review of Traditional and Advanced MPPT Approaches for PV Systems Under Uniformly Insolation and Partially Shaded Conditions by Mustafa Sacid Endiz, Göksel Gökkuş, Atıl Emre Coşgun, Hasan Demir

“…Additionally, MPPT algorithms are evaluated in terms of their performance in reaching maximum power point (MPP) under partial shading condition (PSC). …”
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Tracking of Maneuvering Targets Using a Variable Structure Multiple Model Algorithm by Le Minh Hoang, Aleksandr A. Konovalov, Dao Van Luc

“…This article proposes two VSMM algorithms for tracking maritime targets performing a coordinated turn at constant speed. …”
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3D path planning for UAV based on A hybrid algorithm of marine predators algorithm with quasi-oppositional learning and differential evolution by Binbin Tu, Fei Wang, Xiaowei Han

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PPI-GA: A Novel Clustering Algorithm to Identify Protein Complexes within Protein-Protein Interaction Networks Using Genetic Algorithm by Naeem Shirmohammady, Habib Izadkhah, Ayaz Isazadeh

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Provide a method to diagnose and optimize diabetes using data mining methods and firefly algorithm by Reza Molaee Fard

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Data Security Model Using (AES-LEA) Algorithms for WoT Environment by Zinah A. Al-jazaeri, Joolan Rokan Naif, Ahmad Mohamad Ghandour

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Prediction of the corrosion rates of subsea pipelines via KPCA by Shiqi Xu, Changhe Huang, Hongda Zhao

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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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A precise ultra high frequency partial discharge location method for switchgear based on received signal strength ranging by Jiajia Song, Jinbo Zhang, Xinnan Fan

“…The simulation results show that the location accuracy using the ultra high frequency switchgear partial discharge location method based on received signal strength indicator ranging with the improved particle swarm optimization algorithm performs significantly better.…”
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Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions by Fares Bettahar, Sabrina Abdeddaim, Achour Betka

“…These results underscore the significant potential of the P&O-FPA algorithm to enhance photovoltaic performance, particularly in situations where partial shading conditions.…”
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Modeling and simulation of genetic algorithm using meta-models by Abbas MAhmoodi Markid

“…We use this platform and EMF-DEVS to modeling genetic algorithm (GA-DEVS) and generating partial executable codes on DEVS-Suite simulator. …”
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An Interference Links Selection Method Based on Genetic Algorithm by Juan Meng, Li Hong, Yanan Li, Zhiming Han, Lili Guo

“…Focusing on interference alignment with partial interference links in multi-cell multiple input multiple output （MIMO）networks, an interference links selection scheme was proposed based on genetic algorithm. …”
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Using genetic Algorithm in Task scheduling for Multiprocessing System by Asmaa Hammo, Ghosun Basheer, Muna Jawhar

“…In this work we use Genetic Algorithm for best section to implement many independent tasks on multiprocessor systems. …”
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K-Nearest Neighbors hybrid method for maximum power point tracking under partial shading for photovoltaic power systems by Djamel Guessoum, Maen Takrouri, Mohammad Rabih, Maissa Farhat, Sufian A. Badawi

“…Partial shading conditions (PSC) can significantly reduce the performance of solar photovoltaic (PV) systems. …”
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K-Medoid Algorithm in Clustering Student Scholarship Applicants by Sofi Defiyanti, Mohamad Jajuli, Nurul Rohmawati

“…Grouping into 3 groups is useful to make it easier to determine the scholarship recipients fuel. K-Medoids algorithm is an algorithm of clustering techniques based partitions. …”
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Innovative Hybrid War Strategy Optimization with Incremental Conductance for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems by Khaterchi Hechmi, Regaya Chiheb Ben, Jeridi Ahmed, Zaafouri Abderrahmen

“…This paper introduces a novel maximum power point tracking (MPPT) controller for photovoltaic (PV) systems that leverages the strengths of both metaheuristic and heuristic methods. Classical MPPT algorithms, such as incremental conductance (IC) and perturb and observe (P&O), are widely used but often struggle with instability, oscillations near the steady state, and slow convergence, particularly under fluctuating weather conditions such as static partial shading conditions (PSCs). …”
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HFKG-RFE: An algorithm for heterogeneous federated knowledge graph by Chunjuan Li, Hong Zheng, Gang Liu

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Algorithms for Solving the Equilibrium Composition Model of Arc Plasma by Zhongyuan Chi, Yuzhang Ji, Ningning Liu, Tianchi Jiang, Xin Liu, Weijun Zhang

“…In the present study, the Homotopy Levenberg−Marquardt Algorithm (HLMA) and the Parameter Variation Levenberg–Marquardt Algorithm (PV–LMA), both developed in the context of high-temperature composition, are proposed to address the equilibrium composition model of plasma under the condition of local thermodynamic and chemical equilibrium. …”
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Partially Symmetric Regularized Two-Step Inertial Alternating Direction Method of Multipliers for Non-Convex Split Feasibility Problems by Can Yang, Yazheng Dang

“…This paper presents a partially symmetric regularized two-step inertial alternating direction method of multipliers for solving non-convex split feasibility problems (SFP), which adds a two-step inertial effect to each subproblem and includes an intermediate update term for multipliers during the iteration process. …”
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