IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

“…Then, we generalize this algorithm to a compact implicit neural network that has only 0.003M parameters. …”
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A Bilevel Programming Model to Optimize Train Operation Based on Satisfaction for an Intercity Rail Line by Zhipeng Huang, Huimin Niu

“…The Frank-Wolfe algorithm is used for solving the lower layer planning. …”
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Damage Detection of a Continuous Bridge from Response of a Moving Vehicle by Z. H. Li, F. T. K. Au

“…At the second stage, the identification problem is transformed into a global optimization problem and is solved by genetic algorithm techniques. For each pass of the vehicle, the method can identify the location of the damage until it is determined with acceptable accuracy. …”
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An Improved QSPR Modeling of Hydrocarbon Dipole Moments by Igor V. Nesterov, Andrey A. Toropov, Pablo R. Duchowicz, Eduardo A. Castro

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Direction Finding for Bistatic MIMO Radar with Uniform Circular Array by Cao Yunhe, Zhang Zijing, Wang Shenghua, Dai Fengzhou

“…The simulation results of the proposed algorithm are presented and the performances are investigated and analyzed.…”
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A New QoS Management Scheme for VoIP Application over Wireless Ad Hoc Networks by Said El brak, Mohamed El brak, Driss Benhaddou

“…To investigate the performance advantage achieved by such algorithm, a number of realistic simulations (MANET scenarios) are performed under different conditions. …”
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Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms by K. Janprom, W. Permpoonsinsup, S. Wangnipparnto

“…Therefore, the PID controller tuned by SOS algorithm can regulate the temperature and humidity of the comfortable room, proficiently.…”
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Distributed Power Trading System Based on Blockchain Technology by Shuguo Chen, Weibin Ding, Zhongzheng Xiang, Yuanyuan Liu

“…Firstly, the improved AdaBoost algorithm is used to predict the supply and demand gap of power trading nodes. …”
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Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction by Seong-Wook Jang, Young-Jin Seo, Yon-Sik Yoo, Yoon Sang Kim

“…Comparison was performed by inspecting intermodel morphological deviations with the iterative closest point (ICP) algorithm, and FE analysis was performed to examine the effects of the segmentation algorithm on the results of the knee joint movement analysis.…”
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Spectral framework using modified shifted Chebyshev polynomials of the third-kind for numerical solutions of one- and two-dimensional hyperbolic telegraph equations by S. M. Sayed, A. S. Mohamed, E. M. Abo-Eldahab, Y. H. Youssri

“…Our results show that the current numerical solutions align closely with exact solutions. The current algorithm is simple to set up and is better suited to solving certain difficult partial differential equations.…”
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An EMG Keyboard for Forearm Amputees by Wenwei Yu, Ryu Kato, Fukuda Fabio, Hiroshi Yokoi, Yukinori Kakazu

“…To overcome the difficulties in analysing EMG and realising high DOF from biosignals, the following were integrated: (1) an online learning method to cope with nonlinearity and the individual difference of EMG signals; (2) a smoothing algorithm to deal with noisy recognition results and transition states; and (3) a modified Huffman coding algorithm to generate the optimal code, taking expected error and input efficiency into consideration. …”
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Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud by A. Paulin Florence, V. Shanthi, C. B. Sunil Simon

“…In this paper we have devised methodology which analyzes the behavior of the given cloud request and identifies the associated type of algorithm. Once the type of algorithm is identified, using their asymptotic notations, its time complexity is calculated. …”
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Generalized third-kind Chebyshev tau approach for treating the time fractional cable problem by Waleed Mohamed Abd-Elhameed, Omar Mazen Alqubori, Abdulrahman Khalid Al-Harbi, Mohammed H. Alharbi, Ahmed Gamal Atta

“…This system can be solved using a suitable algorithm to obtain the desired approximate solutions. …”
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Sensorless Direct Torque Control of the Six-Phase Induction Motor by Fast Reduced Order Extended Kalman Filter by Asghar Taheri, Hai-Peng Ren, Chun-Huan Song

“…If the machine parameters are changed during the operation, the EKF algorithm is activated to find parameters used for controlling the motor. …”
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An English Online Homework Tutoring System Supported by Internet Database by Huanxiang Hao

“…Therefore, this paper designs an Internet-based online tutoring platform for college English teaching, which is accelerated by using the K-means clustering algorithm. The data processing efficiency and processing methods to improve user satisfaction require more practical experience to summarize. …”
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Effect of Location of Delamination on Free Vibration of Cross-Ply Conical Shells by Sudip Dey, Amit Karmakar

“…Multi-point constraint algorithm is utilized to ensure the compatibility of deformation and equilibrium of resultant forces and moments at the delamination crack front. …”
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Super Partition: fast, flexible, and interpretable large-scale data reduction in R by Katelyn J. Queen, Malcolm Barrett, Joshua Millstein

“…Results Super Partition is a large-scale approximation of the original Partition data reduction algorithm that allows the user to flexibly specify the minimum amount of information captured for each input feature. …”
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Fare Optimality Analysis of Urban Rail Transit under Various Objective Functions by Lianbo Deng, Zhao Zhang, Kangni Liu, Wenliang Zhou, Junfeng Ma

“…Combined with the train operation plan, considering flat fare and distance-based fare, and based on the benefit analysis of both passenger flow and operating enterprises, we construct the objective functions and build an optimization model in terms of the operators’ interests, the system’s efficiency, system regulation goals, and the system costs. The solving algorithm based on the simulated annealing algorithm is established. …”
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Design and Implementation of Attention-Based CR System in the Context of Big Data by Zheyi Wang, Yanli Kuang, Xin Lyu

“…Therefore, an improved deep factor decomposition machine algorithm combining adaptive regularization and attention mechanisms is proposed, and big data components are integrated to enable the algorithm to support more data input types. …”
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Main-Branch Structure Iterative Detection Using Approximate Message Passing for Uplink Large-Scale Multiuser MIMO Systems by Qifeng Zou, Xuezhi Tan, Mei Liu, Lin Ma

“…In this paper, we introduce an iterative detection algorithm for uplink large-scale multiuser MIMO-OFDM communication systems. …”
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