A Five-Axis Toolpath Corner-Smoothing Method Based on the Space of Master–Slave Movement by Song Gao, Haiming Zhang, Jianzhong Yang, Jiejun Xie, Wanqiang Zhu

“…Simulation tests and machining experiments show that with our smoothing algorithm, maximum acceleration values for each axis were reduced by 21.05%, while jerk was lowered by 22.31%. …”
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HIGH-EFFICIENCY INFRARED RECEIVER by A. K. Esman, V. I. Kostenko, N. I. Mukhurov, G. L. Zykov, V. A. Potachits

“…Simulation of the electromagnetic characteristics of the proposed receiver by using the software package HFSS with the basic algorithm of a finite element method which implemented to calculate the behavior of electromagnetic fields on an arbitrary geometry with a predetermined material properties have shown that when the inner parts of the electrodes of the low-barrier Schottky diode is performed in the concentric elliptical convex-concave shape, it can be reduce the reflection losses to -57.75 dB and the standing wave ratio to 1.003 while increasing the directivity up to 23 at a wavelength of 6.09 μm. …”
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Design and application of depth control methods for autonomous underwater profilers in challenging marine environments by Isabel P. Morales-Aragón, Jaime Giménez-Gallego, Javier Gilabert, Roque Torres-Sánchez, Fulgencio Soto-Valles

“…Coastal lagoons, such as the Mar Menor, have suffered significant environmental crises that have adversely affected tourism, leisure, and fishing activities, while also decreasing property values in the area. …”
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Robust object counting through distribution uncertainty matching and optimal transport by Sabri Boughorbel, Fethi Jarray, Rachida Zegour, Nauman Ullah Gilal, Khaled Al Thelaya, Marco Agus, Jens Schneider

“…To solve the problem, we propose a new algorithm, called Trihorn, which jointly estimates the loss function and the density map of the augmentation set. …”
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Enhancing Cloud Job Failure Prediction With a Novel Multilayer Voting-Based Framework by Ahmed Elkaradawy, Ayman Elshenawy, Hany Harb

“…The first layer aims to detect job failures using a fine-tuned voting mechanism, while the second layer identifies the specific failure type. …”
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DRR-YOLO: A Study of Small Target Multi-Modal Defect Detection for Multiple Types of Insulators Based on Large Convolution Kernel by Mingming Hu, Jun Liu, Junfu Liu

“…The existing insulator defect detection algorithms are mainly characterized by their ability to identify only a single type of defect, accompanied by relatively low accuracy, a Dilated Re-parameterized Residual-YOLO (DRR-YOLO) algorithm is proposed, which is capable of identifying four defects of each of the four insulator types. …”
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Diagnostics of Cognitive Development in Children by Assessing Shared Intentionality in a Biotechnical System by I. V. Danilov, N. I. Kurakina, S. Mihailova

“…Developing a computerized methodology and algorithm for estimating shared intentionality in mother-child dyads; designing a biotechnical system for the early diagnosis of a lag in children's cognitive development.Materials and methods. …”
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Quantifying Compound and Nonlinear Effects of Hurricane‐Induced Flooding Using a Dynamically Coupled Hydrological‐Ocean Model by Daoyang Bao, Z. George Xue, John C. Warner

“…This study introduced a local inertial equation and a diagonal flow algorithm to the overland routing of the coupled system’s hydrology model (WRF‐Hydro). …”
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Operation Optimization of Multiphase Pollutant Treatment Considering Carbon Emissions by Guo Yu, Dongjie Zhang, Hailong Deng, Chao Jiang, Quanling Zhang

“…We run nondominated sorting genetic algorithm-II (NSGA-II) to optimize the operating parameters with respect to the three objectives to get a set of Pareto nondominated solutions on the established Aspen Plus steady-state process simulation, which is based on physical properties and process mechanisms. …”
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A High-accuracy Alignment Approach for Solar Images of Different Wavelengths by Yun Wang, Kaifan Ji, Zhenyu Jin, Hui Liu

“…Therefore, a novel alignment approach based on dense optical flow (OF) and the RANSAC algorithm is proposed in this paper. It takes the OF vectors of similar regions between images to be used as feature points for matching. …”
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Machine Learning Forecasting of Commercial Buildings’ Energy Consumption Using Euclidian Distance Matrices by Connor Scott, Alhussein Albarbar

“…A Euclidian distance matrix, akin to a K-nearest neighbour algorithm, determines the appropriate neural network(s) to utilise. …”
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Senescence-associated lncRNAs indicate distinct molecular subtypes associated with prognosis and androgen response in patients with prostate cancer by Dechao Feng, Dengxiong Li, Jie Wang, Ruicheng Wu, Chi Zhang

“…Nonnegative matrix factorization algorithm was used to identify molecular subtypes. …”
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Dual Function Radar and Communication Waveform Design Based on Sub-pulse Hybrid Modulation by Yu LIU, Junhao ZHANG, Xue YAO, Xianxiang YU, Guolong CUI

“…The DFRC waveform design problem is formulated based on minimizing cross- and auto-correlation Peak Sidelobe Levels (PSL), while considering constant envelope and SHM constraints. …”
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Modeling the Effect of Greenways’ Multilevel Visual Characteristics on Thermal Perception in Summer Based on Bayesian Network and Computer Vision by Yongrong Zheng, Siren Lan, Jiayi Zhao, Yuhan Liu, Songjun He, Chang Liu

“…Using the hill climbing algorithm in R to construct a Bayesian network, model validation results indicated prediction accuracies of 0.799 for TS and 0.838 for TP. …”
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The soft computing approaches in optimising multi-objective mechanical design of a weeding robot by Afsaneh Soleimani

“…To achieve this, we optimized the design of the robot's components while considering design constraints to minimize mass and load. …”
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System Flexibility-Oriented Optimized Unit Operation in Wind Farms by Qian LI, Luyang GOU, Fan LI, Anan ZHANG, Yadi ZHENG, Xipeng ZHOU

“…Then an optimal operation model of wind farm units is constructed to provide system flexibility by which the optimal generation output plan of the wind farm is obtained while minimizing the damage to the wind farm units. …”
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Research on Iterative Learning Method for Lower Limb Exoskeleton Rehabilitation Robot Based on RBF Neural Network by Jing Li, Huimin Jiang, Moyao Gao, Shuang Li, Zhanli Wang, Zaixiang Pang, Yang Zhang, Yang Jiao

“…MATLAB 2021 simulations demonstrate the proposed algorithm’s superior trajectory tracking performance compared to conventional sliding mode control, effectively eliminating control chattering. …”
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Automated speech therapy through personalized pronunciation correction using reinforcement learning and large language models by Ritika Lakshminarayanan, Ayesha Shaik, Ananthakrishnan Balasundaram

“…The system employs a custom Proximal Policy Optimization (PPO) algorithm for precise pronunciation evaluation and an Large Language Models to deliver detailed, encouraging, and user-specific feedback. …”
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Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method by Vali Asimit, Runshi Wang, Feng Zhou, Rui Zhu

“…Experiments on randomly generated data show that this method enjoys better resilience to noise while maintaining good accuracy. For example, in our experiments with noised data, the iterative quadratic programming algorithm performs best in more than 41% to 67% of the samples when the standard deviation of noise is 0.02, and the gradient descent method performs best in more than 70% of the samples when the standard deviation of noise is 0.2. …”
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A Novel Entropy-Based Approach for Thermal Image Segmentation Using Multilevel Thresholding by Thaweesak Trongtirakul, Karen Panetta, Artyom M. Grigoryan, Sos S. Agaian

“…This paper introduces a novel adaptive unsupervised entropy algorithm (A-Entropy) to enhance multilevel thresholding for thermal image segmentation. …”
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