Ensemble Learning for Network Intrusion Detection Based on Correlation and Embedded Feature Selection Techniques by Ghalia Nassreddine, Mohamad Nassereddine, Obada Al-Khatib

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Independently Identifying Noise Clusters in 2D LiDAR Scanning with Clustering Algorithms by Chiew Wei Wen, Chuan Hsian Pu

“…The research proposes a novel method for independently identifying and filtering noise clusters in 2-Dimensional (2D) LiDAR scans based on 2 distinct clustering algorithms of K-Means and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). …”
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An Improved Whale Optimization Algorithm for the Integrated Scheduling of Automated Guided Vehicles and Yard Cranes by Shuaishuai Gong, Ping Lou, Jianmin Hu, Yuhang Zeng, Chuannian Fan

“…For container tasks of size 100, the objective function value (OFV) of the IWOA was reduced by 9.25% compared to the standard Whale Optimization Algorithm. Comparisons with other algorithms, such as the Genetic Algorithm, Particle Swarm Optimization, and Grey Wolf Optimizer, showed an OFV reduction of 9.61% to 11.75%. …”
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Two-Stage Evolutionary Algorithm Based on Subspace Specified Searching for Hyperspectral Endmember Extraction by Cong Lei, Rong Liu, Ye Tian

“…We propose a two-stage, evolutionary-based EE algorithm, referred to as TSEA, designed to confront these issues. …”
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Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidir... by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak

“…In the realm of automatic text summarization, advanced methods such as evolutionary algorithms, deep learning, and clustering have demonstrated promising outcomes. …”
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A Drop-in Replacement for LR(1) Table-Driven Parsing by Michael Oudshoorn

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Ornithological flight safety as a task of decision making in conditions of uncertainty by P. P. Hachikyan

“…The problem of aircraft collision with birds (bird strike) is becoming more relevant with the growing trends of air transportation. …”
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Mission-oriented capability evaluation for combat network based on operation loops by Yang Wang, Junyong Tao, Xiaoke Zhang, Guanghan Bai, Yunan Zhang

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Automatic detection of human gait events: a simple but versatile 3D algorithm by Théo Vancanneyt, Camille Le Moal, Maxence Blard, Juliette Lenoir, Nicolas Roche, Céline Bonnyaud, Fabien Dubois

“…Method We developed a deterministic algorithm called the Multi-Condition algorithm. This algorithm identifies the Foot Strike when the first of the foot markers loses its degrees of freedom and the Foot Off when the last of the foot markers regains its degrees of freedom. …”
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DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network by Peitao Cheng, Xuanjiao Lei, Haoran Chen, Xiumei Wang

“…As a computer vision task, object detection algorithms can be applied to various real-world scenarios. …”
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Research on Reactor Radiation Shielding Optimization Method Based on Multi-objective Evolutionary Algorithm by LIU Chengwei1, 2, CHEN Zhenping1, 2, , YANG Chao1, 2, ZHANG Huajian1, 2, SUN Aikou1, 2, LEI Jichong1, 2, YU Tao1, 2

“…This paper introduced two multi-objective evolutionary algorithms, utilizing a non-dominated sorting genetic algorithm (NSGA-Ⅲ) based on reference point selection and a multi-objective artificial bee colony (MOABC) algorithm based on crowding distance selection. …”

ROS-Based Navigation and Obstacle Avoidance: A Study of Architectures, Methods, and Trends by Zhe Wei, Sen Wang, Kangyelin Chen, Fang Wang

“…Nonetheless, achieving safe and reliable navigation in complex and dynamic environments remains a formidable challenge, due to the need for real-time perception of moving obstacles, sensor fusion requirements, and the demand for robust and efficient algorithms. This study presents a systematic examination of the ROS-based navigation stack and obstacle-avoidance mechanisms. …”
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Real-time monitoring of maize phenology using ground camera fusion information by Qi Zhao, Yonghua Qu, Dongyi Liu

“…To address these issues, this study combined ground camera and machine learning (ML) algorithms to explore the relationship between spectral and texture information derived from NDVI camera and maize phenology (BBCH), developing a user-friendly real-time maize phenology monitoring stacked ensemble learning (SEL) model. …”
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Cloud-based real-time enhancement for disease prediction using Confluent Cloud, Apache Kafka, feature optimization, and explainable artificial intelligence by Abdulaziz AlMohimeed

“…The first phase aims to propose a stacking model, apply a genetic algorithm (GA) and Particle swarm optimization (PSO) as feature selection, and explore a stacking model with the best features with explainable artificial intelligence (XAI). …”
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A Local Information Entropy-Based Point Cloud Simplification Algorithm for Hazardous Chemical Warehouses by Luzhi Yuan, Ranran Han, Yun Sha, Yusong Yuan, Wenchang Zhang, Xuejun Liu, Yong Yan, Yinan Jiang

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Quantum Marine Predator Algorithm: A Quantum Leap in Photovoltaic Efficiency Under Dynamic Conditions by Okba Fergani, Yassine Himeur, Raihane Mechgoug, Shadi Atalla, Wathiq Mansoor, Nacira Tkouti

“…The Quantum Marine Predator Algorithm (QMPA) presents a groundbreaking solution to the inherent limitations of conventional Maximum Power Point Tracking (MPPT) techniques in photovoltaic systems. …”
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An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments by Arthur Van Lerberghe, Kin Shing O. Li, Andrew D. Barr, Sam D. Clarke

“…To do this, an innovative computational algorithm, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="monospace">SHPB</mi><mtext>_</mtext><mi mathvariant="monospace">Processing</mi><mo>.…”
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New Maps of Lunar Surface Oxide Abundances and Mg# Using an Optimized Ensemble Learning Algorithm by Chaofa Bian, Kefei Zhang, Yunzhao Wu, Suqin Wu, Yu Lu, Yabo Duan, Huajing Wu, Zhenxing Zhao, Wei Wu

“…Among the models tested, the SXL algorithm (stacking of support vector machine regression, extreme gradient boosting, and linear regression), which was selected from a stack of 2 or 3 out of six typical algorithms, achieved the highest inversion accuracy. …”
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QUANTITATIVE METHOD OF ESTIMATE OF AERODROME BIRDS HAZARD RISK by V. A. Yudkin, M. A. Grabovski

“…The norms and frequency of birds recording to obtain data on daily and seasonal dynamics of aerodrome bird hazard are substantiated. The algorithm of processing the results of birds recording and calculation of the main parameters value of bird hazard is stated. …”
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A Hybrid Forecasting System Based on Comprehensive Feature Selection and Intelligent Optimization for Stock Price Index Forecasting by Xuecheng He, Jujie Wang

“…Then, the stack autoencoder (SAE) algorithm is constructed to compress the feature variables. …”
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