Approaches for Documentation in Continuous Software Development by Theo Theunissen, Stijn Hoppenbrouwers, Sietse Overbeek

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A BI-OBJECTIVE COST MINIMIZATION MODEL FOR THE INSULAR TOUR ROUTE PLANNING PROBLEM by Mohammad Thezar Afifudin, Muspida Muspida, Dian Pratiwi Sahar

“…It was designed to determine minimum transportation costs based on priority weights. …”
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Two stream GRU model with ELU activation function for sign language recognition by Kasian Myagila, Devotha Godfrey Nyambo, Mussa Ally Dida

“…This paper proposes the use of the Gated Recurrent Unit (GRU) with the ELU activation function to improve computation efficiency and to enhance model learning efficiency. …”
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ACCOUNTING OF INSTRUMENTAL ERRORS IN THE CONTROL OF WINDINGS OF ELECTRICAL MACHINES WITH THE USE OF QUASI-PERIODIC TEST SIGNALS by A. A. Sheinikov, Yu. V. Suchodolov, V. V. Zelenko

“…Automatic accounting of these errors makes it possible to do without complex correlation processing of quasi-periodic signals that require large computing resources (time and speed of data processing, the amount of RAM) and to ensure the accuracy of measurements.…”
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A Deep Learning Approach to Evaluating SISO-OFDM Channel Equalization by Saja S Hanoon, Hasan F Khazal, Thamer M Jamel

“…To improve communication reliability and decrease computing complexity, 5G networks have made great progress with the help of deep learning (DL). …”
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A Deep Reinforcement Learning-Based Concurrency Control of Federated Digital Twin for Software-Defined Manufacturing Systems by Rubab Anwar, Jin-Woo Kwon, Won-Tae Kim

“…The results demonstrate that against the rule-based PCP controller, our hybrid DRLCC enhances completion time maximum of 24.27% to a minimum of 1.51%, urgent-job delay maximum of 6.65% and a minimum of 2.18%, while preserving lower-priority inversions.…”
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Robust dynamic event-triggered sliding mode control for lateral dynamics of intelligent electric vehicle by Zhi Liu, Xing Chu, Suqin Mao, Pengfei Ding, Shouhu Cheng, Jilin Lei, Shaowen Yao

“…We derive a new dynamic event triggering rule, under which the positive minimum value and the evolution characteristics of the inter-event times are able to be designed. …”
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Optimizing Gammatone Cepstral Coefficients for Gear Fault Detection by Zrar Kh Abdul, Abdulbasit K. Al-Talabani, Wisam Hazim Gwad, Entisar Alkayal, Halgurd S. Maghdid, Safar Maghdid Asaad

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Multi-objective operation optimization method of microgrid considering the influence of electric vehicle by Tiefeng Xu, Xiaofang Meng, Fangfang Zheng, Yiduo Zhang, Xin Wu, Mingyang Li

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Calculation of Weighted Geometric Dilution of Precision by Chien-Sheng Chen, Yi-Jen Chiu, Chin-Tan Lee, Jium-Ming Lin

“…The proposed formulae can reduce the computational complexity required for computing the matrix inversion. …”
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Sustainable AI for plant disease classification using ResNet18 in few-shot learning by Fareeha Naveed, Adven Masih, Jabar Mahmood, Moeez Ahmed, Aitizaz Ali, Aysha Saddiqa, Mohamed Shabbir Hamza Abdulnabi, Ebenezer Agbozo

“…This research proposes a novel few-shot learning (FSL) framework employing a minimum sample size of 1 image and a maximum of 10 images per class for the accurate classification of plant diseases. …”
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Global Sensitivity Analysis and Uncertainty Quantification for Background Solar Wind Using the Alfvén Wave Solar Atmosphere Model by Aniket Jivani, Nishtha Sachdeva, Zhenguang Huang, Yang Chen, Bart van derHolst, Ward Manchester, Daniel Iong, Hongfan Chen, Shasha Zou, Xun Huan, Gabor Toth

“…We take the first steps by performing global sensitivity analysis (GSA) and UQ for background solar wind simulations produced by the Alfvén Wave Solar atmosphere Model (AWSoM) for two Carrington rotations: CR2152 (solar maximum) and CR2208 (solar minimum). We conduct GSA by computing Sobol' indices that quantify contributions from model parameter uncertainty to the variance of solar wind speed and density at 1 au, both crucial quantities for CME propagation and strength. …”
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A SIC and ML approach for MIMO non-orthogonal multiple access signal detection by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

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RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

“…Deep learning can make the computing model that contains a number of processing layers to learn the data that contains many levels of abstract representation.This kind of learning way in the most advanced speech recognition,visual object recognition,object detection and many other areas,such as biology,genetics and medicine brought significant improvement.Deep learning can find the complex structure of large data,and the convolution neural network as one of the important models of the depth study in the processing of voice,image,video and text,and other aspects of a new breakthrough.It is the use of BP algorithm to guide the machine how to get the error before the layer to adjust the parameters of this layer,so that these parameters are more conducive to the calculation of the model.In view of the shortcomings of traditional BP algorithm,a fast BP algorithm is proposed,which has the disadvantages of slow convergence speed and often falls into local minimum points.The improved convolutional neural network is used to validate the data set MNIST,English character recognition and medical image.The simulation results show the effectiveness of the proposed algorithm.…”
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Estimating the Bearing Capacity of a Square Footing on a Geogrid-Stabilised Granular Layer over Clay Using the Finite Element Method by Boon Tiong Chua, Kali Prasad Nepal, Hossam Abuel-Naga

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Improved Route Discovery Based on Constructing Connected Dominating Set in MANET by Zifen Yang, Deqian Fu, Lihua Han, Seong Tae Jhang

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ADVANCE HYDRAULIC SUPPORT MULTI-OBJECTIVE OPTIMIZATION DESIGN BASED ON NSGA-Ⅱ ALGORITHM by NIU YanQi, LIU Wei, ZHANG DeSheng

“…Contrapose the problems of hydraulic support connecting rod mechanical fracture,at the same external load force link mechanical to advance the sum of the absolute values,and minimum quality of the objective function,establishment of a multi-objective optimization model,to solve the optimization used the NSGA-Ⅱ algorithm,using fuzzy set theory method to choose the optimal solution,and has compiled into a visual computing program under matlab environment. …”
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Tennis ball detection based on YOLOv5 with tensorrt by Xiulei Zhang, Bin Li

“…The experimental results show that the model achieves 94% mean average precision in the tennis ball detection task, with a combined detection error of 0.39 m and a minimum computing time of 2.28 s. The study shows that this method can significantly improve the accuracy and speed of tennis ball drop detection, which provides reliable technical support for the penalization of tennis matches.…”
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Advanced beamforming and reflection control in intelligent reflecting surfaces with integrated channel estimation by Sakhshra Monga, Anmol Rattan Singh, Nitin Saluja, Chander Prabha, Shivani Malhotra, Asif Karim, Md. Mehedi Hassan

“…Simulation results show that implicit channel estimation method requires fewer pilots than standard approaches, effectively learns to optimise sum rate or minimum‐rate targets, and generalises well. Specifically, the sum rate for GDNNet (GNN + DNN) improves by 12.57% over linear minimum mean square error (LMMSE) and by 12.42% over perfect CSI concerning the number of users, and by 28.57% over LMMSE and by 14.28% over perfect CSI concerning pilot length. …”
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An Optimization Problem for Quadcopter Reference Flight Trajectory Generation by Karam Eliker, Guoqing Zhang, Said Grouni, Weidong Zhang

“…Based on differential flatness approach, the quadcopter dynamical constraints are satisfied instantaneously by computing the induced aerodynamical moments and lift force. …”
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