High resolution weld semantic defect detection algorithm based on integrated double U structure by Xiaoyan Li, Yi Wei, Zhigang Lv, Peng Wang, Liangliang Li, Mengyu Sun, Chu Wang

“…In this study, a high-resolution semantic segmentation algorithm based on a double U-shaped network was proposed to meet the requirements of pressure vessel weld defect detection, and accurate detection was realized through innovative three-stage processing flow. …”
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Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

“…The R² value can reach 0.9853, and the RMSE and MAE are as low as 1.5801 and 1.1879, respectively. …”
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A High-Speed, Multi-Channel Lossless Compression Algorithm for High-Resolution Video on FPGA by Xingkai Du, Longhua Xie, Hongchuan Huang, Huawei Chen, Xiaolong Guo, Tingyu Zhao

“…The performance of the proposed algorithm is evaluated through on-board FPGA experiments. …”
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Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification by Hang Yanping, Zheng Haixia, Yang Minmin, Wang Nan, Kong Miaomiao, Zhao Mingming

“…The algorithm enhances cancer detection while ensuring data privacy. …”
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Applications of Recent Metaheuristic Algorithms for Loss Reduction in Distribution Power Systems considering Maximum Penetration of Photovoltaic Units by Le Duy Luan Nguyen, Phuc Khai Nguyen, Viet Cuong Vo, Ngoc Dieu Vo, Thang Trung Nguyen, Tan Minh Phan

“…Photovoltaic units (PVUs) are placed optimally by implementing the Coot optimization algorithm (COOA), the archimedes optimization algorithm (AOA), the transient search optimization algorithm (TSOA), the crystal structure algorithm (CrSA), the war strategy optimization algorithm (WSA), and the average and subtraction-based optimizer (ASBO). …”
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Public Sentiment Analysis on the Boycott Israel Movement on Platform X Using Random Forest and Logistic Regression Algorithms by Rachmayanti Tri Agustin, Yana Cahyana, Kiki Ahmad Baihaqi, Tatang Rohana

“…The Random Forest model achieved an accuracy of 70%, while Logistic Regression reached 68%. Both models showed higher accuracy in predicting positive sentiment compared to negative and neutral. …”
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Robust-tuning machine learning algorithms for precise prediction of permeability impairment due to CaCO3 deposition by Mohammad Javad Khodabakhshi, Masoud Bijani, Masoud Hasani

“…Instead of creating new algorithms, the study focuses on refining existing ones to make them more effective for the field. …”
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Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement by Ehsanolah Assareh, Reza Poultangari

“…So, the RMSEs of RBF-GWO and RBF-ACO reached values 0.5176 and 0.6562, respectively, and the MAE showed the rates 0.2583 and 0.3386, respectively. …”
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Investigating Optimal EEG Channels and Features for Brain-Computer Interfaces: An Exploration using Evolutionary Algorithms and Machine Learning by Ali Ekhlasi, Hessam Ahmadi, Mohammad Saleh Hoseinzadeh

“…The Imperialist Competitive Algorithm (ICA) and Cuckoo Optimization Algorithm (COA) were utilized for feature selection. …”
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Ecological Suitability Assessment Methods of Waste Pile-Up along Railway Routes Based on Machine Learning Algorithms by Cuicui Ji, Zaoyang Huang, Xiangjun Pei, Bin Sun, Lichuan Chen, Dan Liang, Yanfei Kang

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Evaluation of Global-Scale and Local-Scale Optimized Segmentation Algorithms in GEOBIA With SAM on Land Use and Land Cover by Tao He, Jianyu Chen, Linchong Kang, Qiankun Zhu

“…However, obtaining outstanding segmentation results in all scenarios proves challenging with a single algorithm. This study investigates seven segmentation algorithms: mean shift (MF), O Sistema de Processamento de informações georreferenciadas (the geographic information and image processing system) (SPRING), Estimation of scale parameter 2 (ESP2) (three global-scale algorithms), image object detection approach (IODA), SA, edge-guided image object detection approach (EIODA) (three local-scale optimization algorithms), and segment anything model (SAM) (deep learning). …”
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Ethnic Architectural Heritage Identification Using Low-Altitude UAV Remote Sensing and Improved Deep Learning Algorithms by Ting Luo, Xiaoqiong Sun, Weiquan Zhao, Wei Li, Linjiang Yin, Dongdong Xie

“…The experimental data fully show that the model’s accuracy reaches as high as 0.9831, with an excellent recall rate of 0.9743. …”
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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

“…This practice leads to high synthetic chemical usage because a large portion of the applied insecticide does not reach its intended target; instead, it may affect non-target organisms and pollute the environment. …”
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Efficient low-delay routing algorithm for opportunistic networks based on cross-layer sensing of encountered nodes by Zhi REN, Jian-wei SUO, Hong CHEN, Zhong-hao XU, Qian-bin CHEN

“…An efficient low-delay routing algorithin,name epidemic routing based on cross-layer encountered-node sens-ing (ERCES)was proposed to address the issue that the epidemic-based routing algorithms have some extralatency in sensing encountered nodes and extra overhead in exchanging data packets.ERCES achieves to speed sensing encountered nodes through cross-layer design among the PHY,MAC,and network layers.Moreover,to reduce overhead and to de-crease data latency,it makes a node send novel data packet immediately after encountering other nodes,sends the packets close-by their destinations firstly after receiving summary vector(SV)packets,adaptively varies the period of HELLO packets and deletes the packets reaching their destinations from nodes' memory with the help of SVs.Theoretical anal-,ysis verifies the effectiveness of ERCES.And simulation results show that ERCES reduces by at least 11.3% the control overhead by at least 8.2%,2.1% memory overhead by more than 2.1%,and the average end-to-end delay by at least 11.3%.…”
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Sentiment Analysis of Banking Application Reviews on Google Play Store using Support Vector Machine Algorithm by Martinus Juan Prasetyo, I Made Artha Agastya

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An Improved Salp Swarm Algorithm for Solving a Multi-Temperature Joint Distribution Route Optimization Problem by Yimei Chang, Jiaqi Yu, Yang Wang, Xiaoling Xie

“…Additionally, a reduction in vehicle load capacity results in a continuous rise in total delivery costs after reaching a certain turning point. When compared to conventional SSAs and genetic algorithms, the proposed algorithm demonstrates superior performance in generating optimal multi-temperature joint distribution route schemes for fresh products.…”
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Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…Aiming at the problem of low efficiency and difficulty in adapting to complex interactive scenes in traditional animation pose generation methods, a dynamic pose generation model based on Kinect depth image and an occlusion robust pose map algorithm is proposed. A three-dimensional skeleton sequence is constructed through spatiotemporal sparse sampling, and the missing areas in the depth data are effectively repaired using matrix filling techniques. …”
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Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm by S. M. Fazle Rabby Labib, Joyanta Jyoti Mondal, Meem Arafat Manab, Xi Xiao, Sarfaraz Newaz

“…This discovery of varying levels of model robustness, as unveiled through our confidence level adjustments, could have far-reaching implications for the field of image recognition. …”
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AI-Driven Blade Alignment for Aerial Vehicles’ Rotary Systems Using the A* Algorithm and Statistical Heuristics by Samarth Godara, Madhur Behl, Gaurab Dutta, Rajender Parsad, Sudeep Marwaha

“…This research proposes an innovative AI-based algorithm to optimize blade alignment in helicopter rotary systems, integrating the A* algorithm and a statistical heuristic function. …”
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A multi-source image fusion algorithm for typical electrical equipment with dual-branch network structure by NIE Qixin, XIAO Zhiyun, BAO Tengfei, JIN Xu, GAO Wenqiang, GUO Hao

“…After comparing with various methods, the method in the paper verifies the advancement of the algorithm in terms of subjective visual evaluation and objective image fusion evaluation indices, in which the objective evaluation indices QMI, SSIM and FMIpixel are 0.567 26, 0.593 47 and 0.887 60, respectively, reaching the highest value, which proves that the quality of fused images is improved and applicable to multi-source electrical equipment image fusion.…”
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