YOLO-IRS: Infrared Ship Detection Algorithm Based on Self-Attention Mechanism and KAN in Complex Marine Background by Limin Guo, Yuwu Wang, Muran Guo, Xiaohai Zhou

“…In this paper, we propose a new infrared ship target detection algorithm, YOLO-IRS (YOLO for infrared ship target), based on YOLOv10, which improves detection accuracy while maintaining detection speed. …”
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Application of SMOTE-ENN Method in Data Balancing for Classification of Diabetes Health Indicators with C4.5 Algorithm by Bakti Putra Pamungkas, Muhammad Jauhar Vikri, Ita Aristia Sa'ida

“…This study evaluates the effect of the SMOTE-ENN method on improving the performance of the C4.5 algorithm in the classification of diabetes health indicators. …”
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YOLO-SG: Seafloor Topography Unit Recognition and Segmentation Algorithm Based on Lightweight Upsampling Operator and Attention Mechanisms by Yifan Jiang, Ziyin Wu, Fanlin Yang, Dineng Zhao, Xiaoming Qin, Mingwei Wang, Qiang Wang

“…Additionally, it integrates a lightweight, general upsampling operator to create a new feature fusion network, thereby improving the model’s ability to fuse and represent features. …”
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BFO-ACO roaming path planning based on multi-constraint scenarios by LIN Xiaoling, WANG Zhiqiang, GUO Yanyan, ZHU Zexuan

“…Under the constraints of path length, number of effective scenic spots, path smoothness and path obstacle distance, this paper constructs a fitness function model to evaluate the quality of roaming path. A hybrid algorithm of bacterial foraging optimization and ant colony optimization (BFO-ACO) is proposed by using the taboo table optimization strategy to solve the deadlock problem in the traditional ant colony algorithm, which improves the path diversity in the early stage of the algorithm. …”
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Validation of an AI-Assisted Terrain-Aided Navigation Algorithm Using Real-World Flight Test Instrumentation Data by Ümit Can Bekar, Bilgehan Tanyeri, Ibrahim Enes Uslu, Nuri Arda Gungor, Gokhan Inalhan

“…The proposed TAN integrates a high-performance terrain server, a digital elevation model, and an efficient line-of-sight algorithm to facilitate terrain-aided navigation. …”
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An Interval Integrated Optimization to Air-Cargo Hub Network Design and Airline Fleet Planning by Yu Wang, Tao Zhu, Kaibo Yuan, Peiwen Zhang, Zhe Liang, Jinfu Zhu

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Real-Time Electric Taxi Guidance for Battery Swapping Stations Under Dynamic Demand by Yu Feng, Xiaochun Lu, Xiaohui Huang, Jie Ma

“…The first is a real-time optimization method that uses a greedy algorithm to provide immediate guidance. …”
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Fault Diagnosis System of Induction Motors Based on Neural Network and Genetic Algorithm Using Stator Current Signals by Tian Han, Bo-Suk Yang, Won-Ho Choi, Jae-Sik Kim

“…GA is used to select the most significant features from the whole feature database and optimize the ANN structure parameter. …”
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Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment by Zhun Wang, Xue Chen

“…Then, by introducing the decision tree algorithm, the overfitting is reduced and the data processing speed of the model is improved, and on this basis, the feature selection is carried out through the “gain rate” optimization method, which reduces the redundant information of the feature vector. …”
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Joint Optimization of Wireless Charging Station Location and Operation Scheduling for Electric Buses Under Uncertain Demand by Jiacheng Li, Masato Noto, Yang Zhang, Jia Guo

“…An adaptive genetic algorithm (AGA) is developed to solve the model efficiently. …”
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Detection and Recognition Algorithm for 100-Meter Signage in Urban Rail Transit Based on Connected Domain Segmentation and SVM by YUAN Xiaojun, TIAN Ye, SU Zhen, LIU Xinwu, LI Chen, ZHANG Huiyuan

“…Finally, the extracted characters are input into the SVM model for recognition. The optimized algorithm demonstrated significant improvements, with detection accuracies increasing by approximately 34.4 percentage points and recognition accuracies by approximately 25.6 percentage points for 100-meter signage in subsequent experiments.…”
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A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic by Benkirane Yassine, Benhala Bachir, Raihani Abdelhadi

“…We focus on the following algorithms: Perturb and Observe (A simple and highly responsive algorithm with a quick response that adjusts the voltage), Hill Climbing (It is a simple algorithm to implement and is effective for solving combinatorial problems by adjusting the duty cycle), and fuzzy logic (Using linguistic rules, it is possible to intelligently adjust the parameters, improving the connection between the photovoltaic generator and the load to ensure optimal operation). …”
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K-Means Clustering Algorithm Measuring the Satisfaction Level of MNC TV Muslim I'murojaah Program Viewers by Herayati Herayati, Andronias Siregar, Hariyanto Hariyanto

“…Recommendations for program improvement include enhancing image and sound quality, ensuring that the equipment and technology used can produce optimal quality. …”
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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

“…Many studies have employed field calibration to improve sensor agreement with co-located reference monitors. …”
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LEVERAGING MACHINE LEARNING ALGORITHMS TO IDENTIFY POTENTIAL GEOSITES FOR GEOTOURISM PROMOTION IN ZIZ UPPER WATERSHED IN SOUTHEASTERN MOROCCO by Lahbib NAIMI, Mohamed MANAOUCH, Abdeslam JAKIMI

“…Subsequently, the machine learning algorithm, namely Bagging was employed to develop predictive model. …”
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A Comprehensive Approach to Rustc Optimization Vulnerability Detection in Industrial Control Systems by Kaifeng Xie, Jinjing Wan, Lifeng Chen, Yi Wang

“…This paper proposes a test case generation method based on large language models (LLMs), which utilizes prompt templates and optimization algorithms to generate a code relevant to specific optimization passes, especially for real-time control logic and safety-critical modules unique to the industrial control field. …”
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Research Progress on Process Optimization of Metal Materials in Wire Electrical Discharge Machining by Xinfeng Zhao, Binghui Dong, Shengwen Dong, Wuyi Ming

“…It highlights that the integration of AI by optimization algorithms (such as Genetic Algorithms, particle swarm optimization, and manta ray foraging optimization) offers an effective path toward the intelligent evolution of WEDM processes. …”
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Research on inter-plant weeding control in peanut at LADRC based on IACO-PSO optimization by Xiaolong Zhang, Hongzhen Xu, Jiaodi Liu, Longzhe Quan, Lichang Zhang, Bang Zhang

“…By controlling the angular velocity of the stepper motor, we were able to regulate seedling avoidance along the weeding knife’s operational path. A mathematical model for inter-plant seedling avoidance and weeding was established, and an improved hybrid algorithm combining the ant colony algorithm and particle swarm optimization was proposed to optimize the key parameters of the LADRC system. …”
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Lightweight coal mine conveyor belt foreign object detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

“…Abstract To resolve the drawbacks of slow speed, excessive parameters, and high computational demands associated with deep learning-based conveyor belt foreign object detection methods, a lightweight algorithm for detecting foreign objects on conveyors based on an improved Yolov8n model is proposed. …”
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Optimizing Immunotherapy: The Synergy of Immune Checkpoint Inhibitors with Artificial Intelligence in Melanoma Treatment by Mohammad Saleem, Abigail E. Watson, Aisha Anwaar, Ahmad Omar Jasser, Nabiha Yusuf

“…Key findings highlight the efficacy of AI in improving ICI outcomes. Machine learning models successfully identified prognostic cytokine signatures linked to nivolumab clearance. …”
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