Research on Construction and Updating of Global Grid Maps in Mining Truck Autonomous Driving Scenarios by DENG Chao, LONG Teng, YUAN Xiwen, LI Cheng

“…The closest point to the origin in each sector is extracted to define the boundary for a drivable area, while points on a circle with a 30-meter radius serve as the boundary for a scanning area, leading to the construction of partially enclosed drivable and scanning areas using the Bresenham's algorithm. …”
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Temporal Community Detection and Analysis with Network Embeddings by Limengzi Yuan, Xuanming Zhang, Yuxian Ke, Zhexuan Lu, Xiaoming Li, Changzheng Liu

“…To address these issues, we propose TCDA-NE, a novel TCD algorithm that combines evolutionary clustering with convex non-negative matrix factorization (Convex-NMF). …”
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Hybrid Metaheuristic Optimized Random Forest Models for Predicting Compressive Strength of Alkali Activated Concrete by Mana Alyami, Muhammad Faisal Javed, Irfan Ullah, Hisham Alabduljabbar, Furqan Ahmad

“…A random forest (RF) model was optimized using six metaheuristic algorithms: differential evolution (DEA), human felicity algorithm (HFA), nuclear reaction optimization (NRO), lightning search algorithm (LSA), Harris hawks optimization (HHO), and tunicate swarm algorithm (TSA). …”
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Interval-Aware Scheduling of Surveillance Drones: Exact and Heuristic Approaches by Kaito Mori, Hiroki Nishikawa, Hiroyuki Tomiyama

“…In comparison to the Greedy method, the Multi-stage method achieved an average improvement of 37.8% in total flight time, while its algorithm runtime deteriorated by a maximum of 1.26 seconds. …”
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Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics by Saad M. Darwish, Amr Ibrahim Salama, Adel A. Elzoghabi

“…Traditional machine learning algorithms trained on unbalanced datasets tend to bias towards the majority class (legitimate transactions) and may overlook minority class (fraudulent transactions) patterns. …”
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FLE-YOLO: A Faster, Lighter, and More Efficient Strategy for Autonomous Tower Crane Hook Detection by Xin Hu, Xiyu Wang, Yashu Chang, Jian Xiao, Hongliang Cheng, Firdaousse Abdelhad

“…To address the complexities of crane hook operating environments, the challenges faced by large-scale object detection algorithms on edge devices, and issues such as frame rate mismatch causing image delays, this paper proposes a faster, lighter, and more efficient object detection algorithm called FLE-YOLO. …”
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An Enhanced Distribution System Performance with Optimization Techniques for Location of Electrical Vehicle Charging Stations by Sainadh Singh Kshatri, Venkata Anjani Kumar G, Chilakapati Lenin Babu, Palepu Suresh Babu

“…The proposed methodology leverages the Grey Wolf Optimization (GWO) metaheuristic algorithm, enthused by the grey wolves hunting, to identify the most strategic locations for EVCSs. …”
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Enhancing task execution: a dual-layer approach with multi-queue adaptive priority scheduling by Mansoor Iqbal, Muhammad Umar Shafiq, Shouzab Khan, Obaidullah, Saad Alahmari, Zahid Ullah

“…Various task scheduling algorithms ensure optimized and efficient use of computing resources. …”
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Real-Time Series Arc Fault Detection and Appliances Classification in AC Networks Based on Competing Convolutional Kernels by Francesco Ferracuti, Riccardo Felicetti, Luca Cavanini, Patrick Schweitzer, Andrea Monteriu

“…Achieved results show a detection accuracy of approximately 99%, with appliance classification performance around 98%, with inference times ranging from 2.8 to 172.0 ms while executing the algorithm on an ARM Cortex-based board.…”
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Cropping Pattern Classification Using Artificial Neural Networks and Evapotranspiration Estimation in the Eastern Mediterranean Region of Turkey by Mahmut Çetin, Muhammet Said Golpinar, Mehmet Ali Akgül, Hakan Aksu, Omar Alsenjar

“…In line with this, this study aims to classify each crop type using the ANN algorithm and calculate crop evapotranspiration (ETc). …”
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Forecasting Wind Power Generation Using Artificial Neural Network: “Pawan Danawi”—A Case Study from Sri Lanka by Amila T. Peiris, Jeevani Jayasinghe, Upaka Rathnayake

“…The models were tested with three training algorithms, namely, Levenberg-Marquardt (LM), Scaled Conjugate Gradient (SCG), and Bayesian Regularization (BR) training algorithms. …”
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A complex roadside object detection model based on multi-scale feature pyramid network by Zhihao Zheng, Jianguang Zhao, Jingjing Fan, Ruirui Bai, Jiana Zhao, Jianan Liu

“…Comparative analysis against some mainstream target detection algorithms also reveals the superiority of the proposed approach.…”
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Carboxypeptidase Q(CPQ) promotes glioma progression by inducing M2 macrophage polarization and immunosuppression by Zhihao Qi, Rui Hu, Moyang Qi, JianDong Zuo

“…Single-cell analysis was utilized to identify the specific cell types expressing CPQ. The GSVA algorithm was employed to calculate the activity of immune suppression signaling pathways, while the CIBERSORT algorithm was used to quantify the infiltration of immune cells. …”
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An Observational Study on the Prediction of Range of Motion in Soldiers Diagnosed with Patellar Tendinopathy Using Ultrasound Shear Wave Elastography by Min-Woo Kim, Dong-Ha Lee, Young-Chae Seo

“…Results: The predictive accuracy using only patient information was 62%, while using only elasticity measurements yielded 68% accuracy. …”
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Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors by Samiul Alam, Md. Rafiul Amin, Rose T. Faghih

“…Finally, we develop a block coordinate descent method for SC signal decomposition by employing a generalized cross-validation sparse recovery approach while including physiological priors. <italic>Results:</italic> We analyze the experimental data to validate the performance of the proposed algorithm. …”
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Equivalence of the schemes of programs based on the algebraic approach to setting the semantics of programming languages by Y. P. Korablin

“…The paper aimed at developing an effective algorithm for studying equivalence (nonequivalence) of program schemes of sequential programming languages.Methods. …”
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THE LGORITHMIC BASICS OF MEASUREMENTS by A. A. Moskvitin, A. B. Cheboksary, A. V. Duplishchev

“…The paper describes a technique that allows you to outline the scope of possible (in principle) measuring devices and classify them according to scales corresponding to their measurement procedures. And also the algorithm is described and the corresponding software is created that im-plements the specified algorithm of the general method of searching for universal scales of the cor-responding rank for each measuring device. …”
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Determination of the area index of lettuce leaves with a monocular camera by Laimonas Kairiūkštis, Başak Yalçıner, Emre Özkul

“…By clustering pixel values using the Gaussian Mixture Models (GMM) algorithm, the cluster representing 1-week-old lettuce plants with the lowest pixel values has been identified, while the cluster representing 7-week-old lettuce plants had the highest pixel values. …”
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Spectrum Efficient Mode Selection and Resource Allocation Optimization for D2D Communication in HetNet: A Multi-Agent Q-Learning Approach by Ali Majid Hasan Alibraheemi, Mhd Nour Hindia, Tengku Faiz Tengku Mohmed Noor Izam, Kaharudin Dimyati

“…Second, a Multi-Agent Q-Learning (MAQL) algorithm is presented to assign the optimal channel for D2D pairs. …”
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Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer by Muhammed Abdulhamid Karabiyik, Bahaeddin Turkoglu, Tunc Asuroglu

“…Effectively adjusting these parameters is essential to minimize the error between predicted and actual outputs. While traditional training algorithms, such as gradient-based methods, have been widely used, they often face challenges like premature convergence and stagnation in local optima. …”
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