Combined use of near infrared spectroscopy and chemometrics for the simultaneous detection of multiple illicit additions in wheat flour by Xinyi Dong, Ying Dong, Jinming Liu, Siting Wu

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Image Segmentation Method for an Illumination Highlight Region of Interior Design Effects Based on the Partial Differential Equation by Lina Wang, Yaoming Liu, Zhike Qian

“…This paper designs a single-target color image segmentation algorithm based on partial differential equations. …”
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Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series by Vasilii A. Gromov, Philip S. Baranov

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Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression. by Sonja Lehtinen, Jon Lees, Jürg Bähler, John Shawe-Taylor, Christine Orengo

“…In this paper we propose a new network-based gene function prediction algorithm using a commute-time kernel and partial least squares regression (Compass). …”
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A Novel Hermite Interpolation-Based MPPT Technique for Photovoltaic Systems Under Partial Shading Conditions by Chuanlai Yuan, Juntao Xia, Fengyuan Huang, Peng Zhao, Lingshuang Kong

“…The feasibility and effectiveness of the proposed HPO algorithm are validated through a comparison with INC and Particle Swarm Optimization (PSO) methods. …”
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Optimal Fault Tolerant Control of Large-Scale Wind Turbines in the Case of the Pitch Actuator Partial Faults by Younes Ait El Maati, Lhoussain El Bahir

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Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques by Kais Abdulmawjood, Walid G. Morsi

“…To solve this difficulty, this article proposes a novel approach combining Wavelet Packet Transform (WPT) along with Empirical Mode Decomposition (EMD) to extract the features of PV panel output voltage and string current signals during partial shading conditions. …”
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A Deep Neural Network to Identify Vacuum Degrees in Vacuum Interrupter Based on Partial Discharge Diagnosis by Hong Nhung-Nguyen, Young-Woo Youn, Yong-Hwa Kim

“…The failure of switching or insulation occurs when the pressure rises above a specific level. Characteristics of partial discharge (PD) in VI can be used to measure the internal pressures of VI. …”
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TLINet: A defects detection method for insulators of overhead transmission lines using partially transformer block. by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Yongming Zhang, Xiangke Jiao, Baoxi Yuan

“…First, a Multi-Branch Partially Transformer Block (MBPTB) is designed to enhance the backbone's capability in capturing global features. …”
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Trajectory-Based Optimal Area Forwarding for Infrastructure-to-Vehicle Data Delivery with Partial Deployment of Stationary Nodes by Liang-Yin Chen, Song-Tao Fu, Jing-Yu Zhang, Xun Zou, Yan Liu, Feng Yin

“…This paper proposes a trajectory-based optimal area forwarding (TOAF) algorithm tailored for multihop data delivery from infrastructure nodes (e.g., Internet access points) to moving vehicles (infrastructure-to-vehicle) in vehicular ad hoc networks (VANETs) with partial deployment of stationary nodes. …”
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Artificial intelligence based analysis for magnetized casson fluid in partially heated cavity rooted with heated fin by Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian

“…Owning to such interest we offer artificial neural networks study of heat transfer aspects in partially heated hexagonal cavity in the presence of natural convection and magnetic field. …”
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Partially Binarized Deep MUSIC for Multiple Target Angle Estimation Using Wireless Sensor Array Systems by Jongsung Kang, Joonhyeon Jun, Jaehyun Park, Hyungju Kim, Byung Jang Jeong

“…In this paper, a partially binarized deep learning-based MUltiple SIgnal Classification (MUSIC) algorithm for estimating the angle-of-arrivals (AoAs) of multiple targets using wireless sensor array systems is proposed. …”
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Model-Free Adaptive Iterative Learning Control of High-Order Pseudo Partial Derivatives for Nonlinear Systems by Wei Cao, Ting Wang, Jinjie Qiao, Buning Chai

“…In this work, a model-free adaptive iterative learning control of high-order pseudo partial derivatives is presented for a category of nonlinear discrete-time systems that have features defined by non-repetitive disturbances. …”
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Soft Actor-Critic-Based MPPT Control of Solar PV Systems Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…Key hyperparameters affecting the SAC algorithm’s performance were also investigated. …”
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[Translated article] Use of artificial intelligence to predict complications in degenerative thoracolumbar spine surgery: A systematic review by G. Ricciardi, J.I. Cirillo Totera, R. Pons Belmonte, L. Romero Valverde, F. López Muñoz, A. Manríquez Díaz

“…Due to heterogeneity in samples, outcomes of interest, and algorithm evaluation metrics, a meta-analysis was not performed. …”
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Stepwise autonomous orbit determination of large LEO constellations by GNSS observations with partial inter-satellite ranging by Yuanxi Yang, Xiaoyong Song

“…The correction vector for the orbit parameters of each satellite is then individually calculated using the partial ISL range observations or ISL range constraints. …”
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A systematic literature review of diabetes prediction using metaheuristic algorithm-based feature selection: Algorithms and challenges method by Sirmayanti, Pulung Hendro PRASTYO, Mahyati, Farhan RAHMAN

“…Therefore, this paper presents a systematic literature review of Diabetes prediction using metaheuristic algorithm-based feature selections. The data used in this study is the last ten years of published articles from 2014 to 2024. …”
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Clustering of listed stock exchange companies active in the cement using the FPC clustering algorithm by Leila Safari-monjeghtapeh, Mansour Esmaeilpour

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Generalized Lucas Tau Method for the Numerical Treatment of the One and Two-Dimensional Partial Differential Heat Equation by Y. H. Youssri, W. M. Abd-Elhameed, S. M. Sayed

“…This paper is dedicated to proposing two numerical algorithms for solving the one- and two-dimensional heat partial differential equations (PDEs). …”
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A framework of partial discharge detection for gas-insulated switchgear based on LSTM and multi-head attention by YANG Zhengsheng, LIU Fang

“…ObjectivesTo achieve long-term stable operation of electrical equipment， a framework for anomaly detection and classification of partial discharge （PD） in gas insulated switchgear （GIS） based on long short-term memory （LSTM） networks and a multi-head attention mechanism was proposed.MethodsFirstly， phase resolved partial discharge （PRPD） analysis was used as the input sequence， and LSTM was employed to learn the temporal correlations in PRPD signals. …”
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