Kernel Local Linear Discriminate Method for Dimensionality Reduction and Its Application in Machinery Fault Diagnosis by Kunju Shi, Shulin Liu, Hongli Zhang, Bo Wang

“…Dimensionality reduction is a crucial task in machinery fault diagnosis. …”
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Adaptive Model Predictive Control for 4WD-4WS Mobile Robot: A Multivariate Gaussian Mixture Model-Ant Colony Optimization for Robust Trajectory Tracking and Obstacle Avoidance by Hayat Ait Dahmad, Hassan Ayad, Alfonso García Cerezo, Hajar Mousannif

“…This study uses a nonlinear model predictive controller (MPC) to ensure accurate trajectory tracking of a four-wheel drive, four-wheel steer (4WD-4WS) mobile robot. …”
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Optimizing circular antenna arrays with artificial rabbits optimization for beam control and side lobe reduction by Sunil Kumar, Harbinder Singh, Avtar Singh

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Predicting Affinity Through Homology (PATH): Interpretable binding affinity prediction with persistent homology. by Yuxi Long, Bruce R Donald

“…Compared to current binding affinity prediction algorithms, PATH+ shows similar or better accuracy and is more generalizable across orthogonal datasets. …”
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Quantitative evaluation of metal artifact reduction in CBCT under varying exposure modes and rod orientations by Gyu-Dong Jo, Chul-Wan Park, Kug Jin Jeon, Sang-Sun Han

“…Abstract This study aimed to quantitatively evaluate the efficacy of a metal artifact reduction (MAR) algorithm in cone-beam computed tomography (CBCT) under varying exposure modes and metal rod orientations using a standardized evaluation method. …”
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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks by Suma Christal Mary Sundararajan, Yamini Bhavani Shankar, Sinthia Panneer Selvam, Nalini Manogaran, Koteeswaran Seerangan, Deepa Natesan, Shitharth Selvarajan

Subjects: “…Water quality prediction…”
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Voltage Control and Power Loss Reduction in an Active Distribution Network using Solid State Transformers by Syed Faizan Ali Shah, Dr. Malik Intisar Ali Sajjad, Muhammad Faisal Nadeem Khan, Haroon Farooq, Akhtar Rasool

“… Power losses in a distribution network accounts for a major part of energy loss in the overall system. Reduction in power losses can make the power system more energy efficient. …”
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Modeling Analysis of the Relationship between Adolescent Aerobic Exercise and Obesity Reduction Based on Deep Learning by Peng Mu

“…In order to explore the modeling analysis of the relationship between adolescent aerobic exercise and obesity reduction, the relationship modeling method of deep learning algorithm is proposed. …”
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Simulation Research on Active Noise Reduction in Driver’s Cab ofAutonomous-rail Rapid Tram by ZHOU Sheng, HUANG Wanjun, LI Wei, XIAO Lei, HUANG Jin, HE Jie

“…A wideband feedforward active noise reduction method is proposed, which adopts FxLMS control algorithm, and the control algorithm is derived, and the noise data of autonomous-rail rapid tram is used in the Matlab/Simulink platform for modeling and simulation. …”
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Low-carbon economic dispatch based on improved ISODATA scenario reduction for wind power in IES by Yuangen HUANG, Xingyu LIU, Tianran LI, Zhenya JI, Wei XU

“…A low-carbon, economic dispatch method for IES using an enhanced wind power scenario reduction algorithm is introduced in this paper. It employs an improved iterative self-organizing data analysis technique algorithm (ISODATA) for clustering historical wind power scenarios, addressing the limitations of traditional clustering algorithms in determining cluster centers and analyzing inherent data features. …”
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Model Predictive Control Using Stochastic Motion Prediction of Surrounding Vehicles in Uncontrolled Intersections by Sunyub Park, Yonghwan Jeong

“…This paper presents an autonomous driving algorithm for uncontrolled intersections based on Model Predictive Control (MPC) and Interacting Multiple Model (IMM) filters, proposing an innovative approach to addressing human driver uncertainty in mixed traffic scenarios. …”
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A Reliable Approach for Solving Transmission Network Expansion Planning with Objective of Planning Cost Reduction by Yongqiu Liu

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REDUCTION OF TRAINING SAMPLES DIMENSION IN PATTERN RECOGNITION OF SPACE IMAGES USING PRINCIPAL COMPONENTS ANALYSIS by D. V. Pradun

“…Practical implementations of principal components analysis are described, which are based on QR-algorithm. Application of principal components analysis in space images classification for the reduction of training samples dimension is discussed.…”
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REDUCTION OF CARDIOVASCULAR COMPLICATIONS OF MODERN HYPOGLYCEMIC THERAPY OF DIABETES MELLITUS TYPE 2: "FLORENTINE HERESY" by A. A. Aleksandrov

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Leveraging diverse cell-death patterns to predict to predict prognosis and immunotherapy in hepatocellular carcinoma by Xiaoxiang Zhang, Dongxiao Ding, Dianqian Wang, Yunsheng Qin

“…The immune infiltration status and immune function of the signature were analyzed by ESTIMATE algorithm and ssGSEA algorithm. TIDE score, IPS and immune checkpoints expression and IC50 value were utilized to predict chemosensitivity and immunotherapy response. …”
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AI-based biplane X-ray image-guided method for distal radius fracture reduction by Qing Zha, Qing Zha, Sizhou Shen, Ziyang Ma, Ziyang Ma, Manqiu Yu, Hongzheng Bi, Hongbo Yang, Hongbo Yang

“…BackgroundIn the course of manual reduction of distal radius fractures, many doctors rely on tactile perception to assess the displacement of the fracture. …”
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Oil-cooled transformer hot spot temperature reduction using windings height optimum design by Mohammad Ali Taghikhani

“…For this purpose, the meta-heuristic modified Arctic Puffins optimization (MAPO) algorithm is used to optimize the transformer design. …”
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Commodity Price Recognition and Simulation of Image Recognition Technology Based on the Nonlinear Dimensionality Reduction Method by Yongbin Liu, Jingjie Wang, Wei Bai

“…Although some traditional algorithms have achieved some results in the process of dimensionality reduction, they also expose their respective defects. …”
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Autonomous surgical planning of mandibular angle reduction based on anatomical landmarks and osteotomy plane detection by Zhenggang Cao, Yichi Zhang, Junlei Hu, Gang Chai, Li Lin, Le Xie

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Energy optimization model of multi-energy system considering distributed photovoltaic coordinated carbon reduction by Shi Qiu, Shuo Liu, Guoqiang Lu, Kun Zhang, Yun Teng, Zhe Chen

“…Then, an energy optimization model of the MES with the objectives of minimizing operating cost and maximizing carbon emission reduction is established, and a deep reinforcement learning algorithm is used to solve the model. …”
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