Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels by Xujiong Ye, Gareth Beddoe, Greg Slabaugh

“…Finally, a graph cut algorithm groups the superpixels using a novel energy formulation that incorporates shape, intensity, and spatial features. …”
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Evaluation and prediction of coal seam mining mode: Coefficient of Variation-TOPSIS and CNN-NGO methods by Haixiong Li, Fei Wang

“…In addition, a Convolutional Neural Network (CNN) regression model was constructed and optimized with the Northern Goshawk Optimization (NGO) algorithm, resulting in a more precise CNN-NGO prediction model. …”
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Experimental evaluation of DC-DC buck converter based on adaptive fuzzy fast terminal synergetic controller by Zahira Anane, Badreddine Babes, Noureddine Hamouda, Omar Fethi Benaouda, Saud Alotaibi, Thabet Alzahrani, Dessalegn Bitew Aeggegn, Sherif S. M. Ghoneim

“…The benefits of the proposed SC algorithm involve the features of finite-time convergence, unaffected by parameter variations, and chattering-free phenomenon. …”
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An Improved Internal Model Principle Based Multivariable Nonlinear Control Method with Multiclass Nonharmonic Disturbances and Its Application to Speed Control of a Motor Drive Sys... by Yang Yu, Zengqiang Mi, Tong Zhao, Yikun Xu

“…The simulation results testify correctness and effectiveness of the presented algorithm.…”
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Multi-Scale Locality-Constrained Spatiotemporal Coding for Local Feature Based Human Action Recognition by Bin Wang, Yu Liu, Wei Wang, Wei Xu, Maojun Zhang

“…We propose a Multiscale Locality-Constrained Spatiotemporal Coding (MLSC) method to improve the traditional bag of features (BoF) algorithm which ignores the spatiotemporal relationship of local features for human action recognition in video. …”
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Polystyrene Microsphere Optical Properties by Kubelka–Munk and Diffusion Approximation with a Single Integrating Sphere System: A Comparative Study by Ali Shahin, Wesam Bachir, Moustafa Sayem El-Daher

“…Complex refractive index of polystyrene based on these two methods was determined. Inverse Mie algorithm with scattering coefficient was also used to retrieve the real part of refractive index and absorption coefficient for calculating the imaginary part of refractive index. …”
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Sonoelectrochemical Synthesis of Antibacterial Active Silver Nanoparticles in Rhamnolipid Solution by Mariana Shepida, Orest Kuntyi, Martyn Sozanskyi, Yuriy Sukhatskiy

“…It is shown that the algorithm of anodic dissolution—reduction of Ag(I)—nucleation, and formation of AgNPs makes it possible to obtain nanoparticles with the size from 1 nm to 3 nm. …”
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Rotating Flows Driven by Axisymmetric Blades in a Cylinder by Jae Won Kim

“…It is also flexible to suit any number of blades attached on the rotating bottom disk. The algorithm for the numerical computation is based on the SIMPLE release by Patankar, and the results are validated with prior published data. …”
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AADL architecture model construction based on FACE mode by LYU Guangzhe, YU Chunhai, KANG Kai, MA Chunyan, LIN Wei

“…Then, the StringTemplate template is designed based on the mapping rules, and the template engine algorithm for generating AADL model is given. Finally, a total of 12 kinds of FACE models elements in four aspects are taken as experimental objects, 241 FACE model instances are designed as test cases, and the generated AADL models are verified in the OSATE tool. …”
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Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks by Zixi Jia, Bo Guan

“…Supposing the noise has a certain degree of correlation in a certain time interval, received signal strength difference can effectively reduce the negative impact from noise. The tracking algorithm based on received signal strength difference is built: The sensor nodes collectively estimate a possible zone of the target via the signs of received signal strength difference. …”
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Rao-Blackwellized Gaussian Sum Particle Filtering for Multipath Assisted Positioning by Markus Ulmschneider, Christian Gentner, Thomas Jost, Armin Dammann

“…In this paper, we present and derive a novel filtering approach for our multipath assisted positioning algorithm called Channel-SLAM. Making use of Rao-Blackwellization, the location of a user is tracked by a particle filter, and each landmark is represented by a sum of Gaussian probability density functions, whose parameters are estimated by unscented Kalman filters. …”
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Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine by Lei Jiang, Jiaming Li, Suhuai Luo, Sam West, Glenn Platt

“…In power load event detection, the paper presents a new transient detection algorithm. By turn-on and turn-off transient waveforms analysis, it can accurately detect the edge point when a device is switched on or switched off. …”
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A New Variable Exponential Power Reaching Law of Complementary Terminal Sliding Mode Control by Feng Xu, Na An, Jianlin Mao, Shubo Yang

“…In this article, a new nonlinear algorithm based on the sliding mode control is developed for the ball and plate control system to improve dynamic response and steady-state tracking accuracy of the control system. …”
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An Extendable Gaussian Mixture Model for Lane-Based Queue Length Estimation Based on License Plate Recognition Data by Chaofeng Tan, Hao Wu, Keshuang Tang, Chaopeng Tan

“…Then, the two-dimensional Gaussian distributions of queued vehicles and nonqueued vehicles were fitted, and the expectation-maximization algorithm was adopted to solve the distribution parameters. …”
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Privacy Auditing in Differential Private Machine Learning: The Current Trends by Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols

“…While the definition of differential privacy makes it possible to provably limit the amount of information leaked by an algorithm, practical implementations of differentially private algorithms often contain subtle vulnerabilities. …”
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Adaptive mobile application for the CATS learning system by Y. V. Popova, I. V. Lehchylin

“…The proposed adaptability algorithm will allow you to create a unique training program that will build on existing knowledge and the level of perception of learning material for students. …”
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Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems by Songlin Hu, Dong Yue, Min Shi, Xiangpeng Xie

“…., a soft computation algorithm) under consideration is that the current sensor data is transmitted only when the current sensor data and the previously transmitted one satisfy a certain state-dependent trigger condition. …”
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Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model by Basim Mahbooba, Mohan Timilsina, Radhya Sahal, Martin Serrano

“…The previous studies focused more on the accuracy of the various classification algorithms for trust in IDS. They do not often provide insights into their behavior and reasoning provided by the sophisticated algorithm. …”
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End-to-End Methodology for Predictive Maintenance Based on Fingerprint Routines and Anomaly Detection for Machine Tool Rotary Components by Amaia Arregi, Aitor Barrutia, Iñigo Bediaga

“…These features are then introduced to an anomaly and paradigm shifts detection algorithm. The method is evaluated through three distinct scenarios. …”
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Optimal Speech Signal Processing Based on Dynamic Multi-Scale Analysis by Zefei Guo, Xiao Li, Yuchen Zhang

“…Finally, the method is further enhanced through the adaptive error minimization algorithm, leading to a more pronounced noise reduction effect. …”
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