High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System by Manob Jyoti Saikia, Rajan Kanhirodan, Ram Mohan Vasu

“…The reduction in execution time of 3D DOT algorithm, a severely ill-posed problem, is made possible through the use of (1) an algorithmic improvement that uses Broyden approach for updating the Jacobian matrix and thereby updating the parameter matrix and (2) the multinode multithreaded GPU and CUDA (Compute Unified Device Architecture) software architecture. …”
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Development of a Driving Cycle for Fuzhou Using K-Means and AMPSO by Minrui Zhao, Hongni Gao, Qi Han, Jiaang Ge, Wei Wang, Jue Qu

“…First, bad data in the original dataset are preprocessed, the time-series standard smoothing algorithm is used to smoothen the data, and Lagrange’s interpolation is used to realize data interpolation. …”
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Two Improved Methods of Generating Adversarial Examples against Faster R-CNNs for Tram Environment Perception Systems by Shize Huang, Xiaowen Liu, Xiaolu Yang, Zhaoxin Zhang, Lingyu Yang

“…In this paper, we propose an improved projected gradient descent (PGD) algorithm and an improved Carlini and Wagner (C&W) algorithm to generate adversarial examples against Faster R-CNN object detectors. …”
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Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades by Lili Li, Kun Chen, Jianmin Gao, Zhiyong Gao, Junkong Liu

“…An intelligent selection algorithm of blades based on the collocation degree of blades is proposed and achieves the efficient selection and full utilization of rotating blades. …”
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Resource Management Framework Based on the Stackelberg Game in Vehicular Edge Computing by Guang-Shun Li, Ying Zhang, Mao-Li Wang, Jun-Hua Wu, Qing-Yan Lin, Xiao-Fei Sheng

“…A dynamic service area partitioning algorithm is designed to balance the load of DSA and improve the quality of service. …”
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Application of ensemble learning techniques to model the atmospheric concentration of SO2 by A. Masih

“…The results obtained suggest that 1) homogenous ensemble classifier random forest performs better than single base statistical and machine learning algorithms; 2) employing single base classifiers within bagging as base classifier improves their prediction accuracy; and 3) heterogeneous ensemble algorithm voting have the capability to match or perform better than homogenous classifiers (random forest and bagging). …”
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Student Engagement Recognition: Comprehensive Analysis Through EEG and Verification by Image Traits Using Deep Learning Techniques by Ajitha Sukumaran, Arun Manoharan

“…The experimental results of the proposed system were verified by analyzing the image traits of the students using the engagement indicator algorithm. Both systems were further validated through a quiz conducted at the end of the session.…”
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Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework by Jia-Qi Liu, Yun-Wen Feng, Cheng Lu, Wei-Huang Pan, Da Teng

“…INNMF is based on the artificial neural network (ANN) algorithm through improved particle swarm optimization (PSO) algorithm and Bayesian Regularization (BR) optimization. …”
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Improving the selection of object-analogues of oil and gas fields in designing reservoir engineering by Alexander V. Karsakov, Pavel N. Zyatikov, Kirill V. Sinebriukhov, Irina V. Sharf

“…Aim. Development of an algorithm for qualitatively selection of the best object-analogue of the project field, taking into account the verification of the selected analogues. …”
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The technique of point visualization of the electric field in space and time by Z. M. Kurbanismailov, A. T. Tarlanov, E. M. Akimov

“…The algorithm is easily embedded into applications as a component of a mathematical modeling system. …”
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Electricity Theft Detection in Power Grids with Deep Learning and Random Forests by Shuan Li, Yinghua Han, Xu Yao, Song Yingchen, Jinkuan Wang, Qiang Zhao

“…To build the RF in the hybrid model, the grid search algorithm is adopted to determine optimal parameters. …”
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Electroencephalography Signal Grouping and Feature Classification Using Harmony Search for BCI by Tae-Ju Lee, Seung-Min Park, Kwee-Bo Sim

“…We conclude that the heuristic approach using the HS algorithm on the BCI is beneficial for EEG signal analysis.…”
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A mobile localization method based on a robust extend Kalman filter and improved M-estimation in Internet of things by Nan Hu, Chuan Lin, Fangjun Luan, Chengdong Wu, Qi Song, Li Chen

“…The proposed algorithm effectively inhibits the non-line-of-sight error.…”
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Automatic Classification System of Drainage Hole Blockage Based on Convolution Neural Network Transfer Learning by Jianbing Lv, Weijun Wu, Xiaoyu Kang, Juan Huang, Gongfa Chen, Shuai Teng, Hejie Gao

“…This paper studies an algorithm for the automatic classification of drainage hole blockage degree based on convolutional neural network transfer learning to explore the intelligent detection method of drainage hole blockage. …”
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Cost-Efficient LEO Navigation Augmentation Constellation Design under a Constrained Deployment Approach by Jing Ren, Dan Sun, Deng Pan, Mingtao Li, Jianhua Zheng

“…They are solved by the genetic algorithm and differential evolution algorithm, and both Walker and Flower constellations are adopted. …”
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Real world data on digital remote refraction in a healthy population of 14,680 eyes by Casper van der Zee, Heshow Jamal, Marc Muijzer, Laurence Frank, Gerko Vink, Robert Wisse

“…We report real-world 2021–2022 data of the underlying algorithm and validated these to conventional prescriptions among healthy individuals (high visual acuity and satisfactied current refraction). …”
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PAGR: Accelerating Global Routing for VLSI Design Flow by Roman A. Solovyev, Ilya A. Mkrtchan, Dmitry V. Telpukhov, Ilya I. Shafeev, Aleksandr Y. Romanov, Yevgeniy V. Stolbikov, Alexander L. Stempkovsky

“…The algorithm’s description can benefit future research, and the source code with detailed comments is available online.…”
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Enhancing Transient Stability of DFIG-Based Wind Turbine Systems Using Deep Learning-Controlled Resistance-Based Fault Current Limiters by Yaoying Wang

“…The research introduces a novel algorithm to calculate optimal fault current limiter resistance, maintaining voltage within ±10% of the reference level. …”
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Energy Management Strategy for Direct Current Microgrids with Consideration of Photovoltaic Power Tracking Optimization by Fudong Li, Zonghao Shi, Zhihao Zhu, Yongjun Gan

“…In response to the uncertainty of renewable energy output and the fluctuation of load, this paper proposes a hybrid energy storage management strategy based on the State of Charge (SOC) to smooth power fluctuations and thereby improve the power quality of photovoltaic energy storage DC microgrids. Firstly, a hybrid algorithm for power tracking control is formed by incorporating the Particle Swarm Optimization (PSO) algorithm into the variable step-size Incremental Conductance (INC) method, thereby optimizing the maximum power point tracking control system of the photovoltaic system. …”
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Optimal active and reactive power dispatch in the presence of wind farms using voltage indicators and metaheuristic methods by Cherkaoui Nazha, Belfqih Abdelaziz, Hadjoudja Abdelkader

“…To verify the proposed algorithm, a 40 MW wind farm (WF) made up of doubly fed induction generator (DFIG) and the 14 IEEE bus system are used. …”
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