sEMG-Based Gesture Recognition Using Sigimg-GADF-MTF and Multi-Stream Convolutional Neural Network by Ming Zhang, Leyi Qu, Weibiao Wu, Gujing Han, Wenqiang Zhu

“…Meanwhile, each channel signal is respectively transformed into two-dimensional subimages using Gram angular difference field (GADF) and Markov transition field (MTF) methods. …”
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HERMEES: A Holistic Evaluation and Ranking Model for Energy-Efficient Systems Applied to Selecting Optimal Lightweight Cryptographic and Topology Construction Protocols in Wireless... by Petar Prvulovic, Nemanja Radosavljevic, Djordje Babic, Dejan Drajic

“…HERMEES is based on a multi-criteria decision-making (MCDM) model designed to select the optimal combination of lightweight cryptography (LWC) and topology construction protocol (TCP) algorithms for wireless sensor networks (WSNs) based on user-defined scenarios. …”
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Robust adaptive control with dung beetle optimization algorithm and disturbance observer for load displacement tracking of shock absorber damper test bench. by Xiangfei Tao, Kailei Liu, Dong Han, Jing Yang, Hongbin Qiang

“…Shock absorbers are indispensable components utilized for vibration mitigation in various fields, including construction, bridges, wind power, and pipelines. …”
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Methods for Cognitive Diagnosis of Students’ Abilities Based on Keystroke Features by Xu Chi, Xinyu Guo, Yu Sheng

“…The K-means++ algorithm was adopted to determine the initial clustering centers, the elbow method was used to determine the number of clusters, and an outlier processing algorithm was introduced. …”
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RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

“…The contribution of this research lies in proposing the Snake Optimizer (SO) algorithm-optimized Bigru-Attention model and constructing an efficient comprehensive prediction model. …”
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A Novel Algorithm for a Low-Cost, Curvature-Continuous Smooth Path with Multiple Constraints on a Cost-Assigned Flat Map by Xu Du, Lu Yang

“…The method is divided into two stages: In the first stage, the graph structure is constructed by generating points on the map, and uses Dijkstra’s Algorithm to obtain the connection order of the landmark points. …”
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Two-dimensional spatial orientation relation recognition between image objects by Gong Peiyong, Zheng Kai, Jiang Yi, Zhao Huixuan, Huai Honghao, Guan Ruijie

“…TSOVF algorithm introduces the learnable spatial orientation vector field to effectively encode the spatial orientation relation into a deep convolutional neural network model. …”
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Ultra-Low-Cost Radar Cross Section Measurement and Validation Method Using a 3D-Printed Scale Model in a Non-Anechoic Chamber Environment by Cheongmin Lee, Youngjae Yu, Yeong-Hoon Noh, Ilyoung Oh, Jungje Ha, Jong-Gwan Yook

“…For RCS measurements of the 1/15 scale model, an image-based near-field to far-field transformation (NFFFT) algorithm is employed. …”
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A combinatory approach of non-chain ring and henon map for image encryption application by Salman Mohi Ud Din, Tariq Shah, Fahad Alblehai, Sameer Nooh, Sajjad Shaukat Jamal

“…A substitution box is constructed from Galois field and is applied in image processing. …”
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Distance learning methodology and technique in scientific and vocational communication (on the example of the master’s distance course in linguistics) by S. S. Khromov, T. P. Skorikova, N. V. Dneprovskaya

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A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression by Tingkai Hou, Zonghong Zhou, Yonggang Zhang, Jing Zhang

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Techniques and Models for Addressing Occupational Risk Using Fuzzy Logic, Neural Networks, Machine Learning, and Genetic Algorithms: A Review and Meta-Analysis by Chris Mitrakas, Alexandros Xanthopoulos, Dimitrios Koulouriotis

“…The main conclusions indicate that the primary sectors utilizing these techniques are industry, transportation, construction, and cross-sectoral models and techniques that are applicable to multiple occupational fields. …”
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Research on the big data planning model of mobile wireless network by Yu CHEN, Xiaodong CHEN, Yue LIU

“…With the development of big data technology in recent years,various industries have strengthened their research and application in their professional field.For the wireless network planning specialty of mobile operators,it will effectively improve the accuracy and automation level of network planning by combining the market,network,terminal,base station,planning and other data sources owned by enterprises.For the existing large data planning platforms,there are generally problems that do not fully consider the discrimination of scenario or regional types,which have a certain impact on the planning results.Firstly,the data sources,processing application architecture and implementation method which the large data planning model of mobile wireless network needed were analyzed.Then,the standards,algorithms and parameter settings of the three coverage planning models of surface,line and point were studied after the key steps and model analysis of the big data planning in mobile wireless network.Finally,some ideas and suggestions were put forward for the construction and application of the big data planning model in mobile wireless network.…”
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A Novel Method for Estimating Parameters of Magnetic Dipole Sources Under Low Signal-to-Noise Ratio Conditions Based on LM-OBF Algorithm by Zhaotao Yan, Zhaofa Zeng, Jianwei Zhao

“…It then constructs an objective function within a least squares framework and optimizes it using the Levenberg–Marquardt (LM) algorithm to achieve a stable estimation of magnetic source parameters. …”
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A Method for Generating and Evaluating Magnetic Flux Leakage Data for Large-diameter Pipeline Crack Defects Based on Numerical Simulation and Diffusion Algorithm by Chen Ximing, Li Kun, Fu Mengkai, Zhu Jianjun, Liu Xiaoben

“…Considering that the sample size of magnetic flux leakage （MFL） data for large-diameter pipeline crack defects is insufficient to support the quantitative identification， a database generation method integrating numerical simulation of MFL field and diffusion algorithm was proposed， and it was verified through full-scale pull test and three-dimensional MFL simulation modeling. …”
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Enabling High-Level Worker-Centric Semantic Understanding of Onsite Images Using Visual Language Models with Attention Mechanism and Beam Search Strategy by Hui Deng, Kejie Fu, Binglin Yu, Huimin Li, Rui Duan, Yichuan Deng, Jia-rui Lin

“…Visual information is becoming increasingly essential in construction management. However, a significant portion of this information remains underutilized by construction managers due to the limitations of existing image processing algorithms. …”
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HoloGaussian Digital Twin: Reconstructing 3D Scenes with Gaussian Splatting for Tabletop Hologram Visualization of Real Environments by Tam Le Phuc Do, Jinwon Choi, Viet Quoc Le, Philippe Gentet, Leehwan Hwang, Seunghyun Lee

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Retrieval of Leaf Area Index for Wheat and Oilseed Rape Based on Modified Water Cloud Model and SAR Data by Xiyue Yang, Wangfei Zhang, Armando Marino, Han Zhao, Wei Kang, Zhengyong Xu

“…The WCM was improved through two steps: (1) constructing a vegetation coverage ratio (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>f</mi></mrow><mrow><mi>v</mi></mrow></msub></mrow></semantics></math></inline-formula>) using normalized difference vegetation indices calculated from Landsat-8 images and introducing it into the traditional WCM, and (2) incorporating field-collected crop height into the vegetation canopy described in the scattering model. …”
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Ensemble prediction modeling of flotation recovery based on machine learning by Guichun He, Mengfei Liu, Hongyu Zhao, Kaiqi Huang

“…First, the outliers are processed using the box chart method and filtering algorithm. Then, the decision tree (DT), support vector regression (SVR), random forest (RF), and the bagging, boosting, and stacking integration algorithms are employed to construct a flotation recovery prediction model. …”
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Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam

“…The proposed models can be implemented in real-world scenarios to optimize mix designs for large-scale applications, leading to cost-effective and eco-friendly construction materials. This research advances the field of smart construction by demonstrating the effectiveness of machine learning in sustainable material engineering, paving the way for future AI-assisted innovations in the industry.…”
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