Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling by Dejiang Wang, Bolong Liu, Haili Jiang, Panpan Liu

“…Path planning is a key technology in the automation of construction robots, and its implementation mainly relies on navigation algorithms and the generation of environment maps. …”
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Clinical TNM Lung Cancer Staging: A Diagnostic Algorithm with a Pictorial Review by Ivana Kuhtić, Tinamarel Mandić Paulić, Lucija Kovačević, Sonja Badovinac, Marko Jakopović, Margareta Dobrenić, Maja Hrabak-Paar

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A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…Alzheimer’s disease (AD) is a gradient degeneration of essential cognitive activities such as memory, thinking, and cognition. AD mainly affects elderly individuals and is recognized as the most common cause of dementia. …”
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Construction and Application of Carbon Emissions Estimation Model for China Based on Gradient Boosting Algorithm by Dongjie Guan, Yitong Shi, Lilei Zhou, Xusen Zhu, Demei Zhao, Guochuan Peng, Xiujuan He

“…Among the algorithms tested, LightGBM achieved the best performance (R² = 0.992, RMSE = 0.297), demonstrating both robustness and efficiency. …”
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Fault detection algorithm for underground conveyor belt deviation based on improved RT-DETR by AN Longhui, WANG Manli, ZHANG Changsen

“…Current research on conveyor belt deviation detection mainly focuses on extracting the straight-line features of belt edges. …”
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Verification Technical Scheme for Deep Learning Algorithm Based on Interactive Zero Knowledge Protocol by LYU Yanfeng, LYU Xuesheng, HUANG Shenghui, LIANG Qinglei

“…Innovative research on zero knowledge protocols based on deep learning algorithms was proposed, which combines the discipline of artificial intelligence machine learning. …”
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SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration by Han Wei

“…The rigorous methodology ensures research validity through scientific data partitioning, appropriate hardware configuration, an advanced software environment, and comprehensive evaluation indices (accuracy, precision, recall, F1-score). The study mainly focuses on two aspects. One is to analyze corporate diversification strategy; the other is to explore the optimization of the SMOTE algorithm and its application in credit risk prediction. …”
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Optimization Design of Fast Neutron Target Station Beam Extraction Based on Genetic Algorithm by QIN Ziqian1, 2, 3, TAN Xinjian2, 3, ZHANG Xiaodong2, 3, PAN Qingquan1, LIU Xiao2, 3

“…The structural composition of the neutron extraction pipeline was optimized through theoretical simulation, coupled with a genetic algorithm and Monte Carlo code. In the optimization design, the genetic algorithm was used to initialize and adjust the optimization parameters, generate Monte Carlo input files, and call the Monte Carlo code for calculation. …”
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Using multiple machine learning algorithms to optimize the water quality index model and their applicability by Fei Ding, Shilong Hao, Wenjie Zhang, Mingcen Jiang, Liangyao Chen, Haobin Yuan, Nan Wang, Wenpan Li, Xin Xie

“…To improve the accuracy of the water quality index (WQI) model, multiple machine learning algorithms (CatBoost, SVM, LR, XGBoost, LightGBM) and entropy weight method (EWM) were introduced to determine the objective weight. …”
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Joint Resource Scheduling of the Time Slot, Power, and Main Lobe Direction in Directional UAV Ad Hoc Networks: A Multi-Agent Deep Reinforcement Learning Approach by Shijie Liang, Haitao Zhao, Li Zhou, Zhe Wang, Kuo Cao, Junfang Wang

“…The algorithm with the main lobe direction scheduling improves performance by 67.06% compared to the algorithm without the main lobe direction scheduling.…”
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Application of improved GA in optimizing rural tourism routes by Yin Longjie, Li Muzi

“…The experimental results show that the proposed method of the study has a minimum mean absolute error of 0.784 and a maximum mean absolute error of 0.801 in optimizing rural tourism routes, which is more accurate compared to the traditional GA and ACO algorithms. …”
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Parallel region growing of half-tone images based on selected average brightness of the area along the growth route by V. Yu. Tsviatkou

“…This leads to high time complexity. In some parallel algorithms, the sample mean is calculated in a small window, which makes it possible to slightly reduce the time complexity when matching the window size with the segment sizes. …”
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Topology-preserving contourwise shape fusion by Aleksandra Melnikova, Martin Maška, Petr Matula

“…Abstract The preservation of morphological features, such as protrusions and concavities, and of the topology of input shapes is important when establishing reference data for benchmarking segmentation algorithms or when constructing a mean or median shape. …”
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Legendre based neural networks integrated with heuristic algorithms for the analysis of Lorenz chaotic model: an intelligent and comparative study by Khalid Masood, Muhammad Arshad, Muhammad Abubakar, Muhammad Naeem Aslam, Mohammed A. Alghamdi, Sultan H. Almotiri

“…The hybrid FA-AOA optimization is also investigated to verify the LENN model accuracy and reliability. Mean square error (MSE) and TIC graphs are constructed to evaluate the proposed method integrity and efficiency.…”
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A New Model for Enhancing Efficiency in On-Chip Optical ‎Networks Based on Adaptive Routing Algorithm.‎ by Mohammadreza Hemmati, Sayed Mohammad Ali Zanjani, Elham Yaghoubi

“…In this article, an adaptive fault-tolerant routing algorithm will be presented, whose main objective is to create the ability to handle a reasonable number of faults without disrupting the healthy nodes in the network. …”
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Low-cost phone-based LiDAR scanning technology provides sub-centimeter accuracy when measuring the main dimensions of motor-manual tree felling cuts by Stelian Alexandru Borz, Andrea Rosario Proto

“…By the commonly used error metrics such as the bias (−0.73–0.10), mean absolute error (0.51–0.78) and root mean squared error (0.68–0.92), the differences between the two were in the sub-centimeter domain. …”
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ADPO: Adaptive DRAM Controller for Performance Optimization by Zhuorui Liu, Yan Li, Xiaoyang Zeng

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A robust-weighted AMMI modeling approach with generalized weighting schemes by Marcelo B. Fonsêca, Vanda M. Lourenço, Paulo C. Rodrigues

“…The additive main effects and multiplicative interaction (AMMI) model and its variations are widely used to identify genotypes with specific adaptability and stability under environmental conditions in crop improvement breeding programs. …”
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Low-dose computed tomography image denoising using pixel level non-local self-similarity prior with non-local means for healthcare informatics by Dawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra, Krunal Vaghela, Ashish Singh, K. S. Ravi Kumar, Durga Prasad Bavirisetti

“…Furthermore, the study incorporates an enhanced version of a recently proposed nonlocal means algorithm. This revised approach uses discrete neighbourhood filtering properties to enable efficient, vectorized, and parallel computation on modern shared-memory platforms thereby reducing computational complexity. …”
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Genetic K-Means Clustering of Soil Gas Anomalies for High-Enthalpy Geothermal Prospecting: A Multivariate Approach from Southern Tenerife, Canary Islands by Ángel Morales González-Moro, Luca D’Auria, Nemesio M. Pérez Rodríguez

“…In this study, we apply a multivariate clustering technique—genetic K-Means clustering (GKMC)—to a comprehensive soil gas dataset collected from 1050 sampling sites across the ~100 km² Garehagua mining license, located in the southern rift zone of Tenerife (Canary Islands). …”
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