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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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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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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3D anatomical digital twins: New generation virtual models to navigate robotic partial nephrectomy by Daniele Amparore, Alberto Piana, Federico Piramide, Sabrina De Cillis, Enrico Checcucci, Cristian Fiori, Francesco Porpiglia

“…Abstract Objective 3D virtual models have gained interest in urology, particularly in the context of robotic partial nephrectomy. From these, newly developed “anatomical digital twin models” reproduce both the morphological and anatomical characteristics of the organs, including the texture of the tissues they comprise. …”
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Influencer autonomy: Navigating authenticity, agencies, and algorithms by SUNDET VILDE SCHANKE, STEEN-JOHNSEN KARI, ANDERSEN MADS MØLLER TOMMERUP

“…Our findings reveal that while influencer autonomy is always limited and partial, it remains a compelling narrative.…”
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Research on the Application of Genetic Algorithm in Physical Education by Haibo Wang

“…An improved genetic algorithm is proposed to reduce the problem of slow convergence and partial convergence of the fundamental genetic algorithm for intelligent grouping systems. …”
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Doubly Constrained Robust Blind Beamforming Algorithm by Xin Song, Jingguo Ren, Qiuming Li

“…The simulation results confirm the superiority of the proposed algorithm on beampattern control and output SINR enhancement.…”
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Binocular Vision-Based Target Detection Algorithm by Huiguo Zhang

“…In the field of target detection, algorithms are challenged with multi-objective optimization problems in identifying detection targets, and it is also crucial to improve the recognition of small and insignificant targets. …”
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"Non-destructive and rapid determination of bound styrene content of styrene-butadiene rubber latex using near-infrared spectroscopy" by LI Yan, ZHONG Ming-li, ZHU Shi-yong, CUI Jia-min, ZHANG Jian-ping, CHEN Shi-long

Subjects: “…near-infrared spectroscopy，styrene-butadiene rubber latex， bound styrene content， chemometrics， non-destructive and rapid determination，interval partial least squares algorithm，…”
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A METHOD FOR THE ANALITICAL SOLUTIONS OF NONLINEAR EQUATIONS WITH PARTIAL DERIVATIVES AND THE ALGORITM FOR SOLVING THE THIRD-ORDER SPECIAL EQUATION by I. E. Andrushkevich

“…These equations include linear parts and nonlinear quadratic differential forms consisting of the sum of products of function powers and derivatives. The offered algorithm generates a series of new solutions of third-order partial differential model equations with quadratic nonlinearity.…”
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Parallel circuit implementation of variational quantum algorithms by Michele Cattelan, Sheir Yarkoni, Wolfgang Lechner

“…We test our framework by creating a parallelized version of the Quantum Approximate Optimization Algorithm and a variational version of quantum annealing and explain how our framework applies to other quantum optimization algorithms. …”
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Power Enhancement under Partial Shading Condition Using a Two-Step Optimal PV Array Reconfiguration by Mohamad Hossien Nahidan, Mehdi Niroomand, Behzad Mirzaeian Dehkordi

“…Under partial shading conditions, photovoltaic (PV) arrays are subjected to different irradiance levels caused by nonuniform shading. …”
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Using Partial Differential Equation Face Recognition Model to Evaluate Students’ Attention in a College Chinese Classroom by Xia Miao, Ziyao Yu, Ming Liu

“…In the sparse preserving nonnegative block alignment algorithm, a discriminant partial optimization model is constructed by using sparse reconstruction coefficients to describe local geometry and weighted distance to describe class separability. …”
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Determining the Influence of Real Estate Features on Prices with Partial Dependence Plots: A Case Study in Szczecin, Poland by Gnat Sebastian

“…The study explores the application of Partial Dependence Plots (PDP) in the analysis of real estate features. …”
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Computation of Gram Matrix and Its Partial Derivative Using Precise Integration Method for Linear Time-Invariant Systems by Sulan Li, Yuanhao Ren, Hong Bao, Wei Zhang

“…Gram matrix is an important tool in system analysis and design as it provides a description of the input-output behavior for system; its partial derivative matrix is often required in some numerical algorithms. …”
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Advanced machine learning technique for solving elliptic partial differential equations using Legendre spectral neural networks by Ishtiaq Ali

“…In this work, a novel approach based on a single-layer machine learning Legendre spectral neural network (LSNN) method is used to solve an elliptic partial differential equation. A Legendre polynomial based approach is utilized to generate neurons that fulfill the boundary conditions. …”
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