Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Papillary Thyroid Carcinoma Variants by Sakhr Alshwayyat, Haya Kamal, Owais Ghammaz, Tala Abdulsalam Alshwayyat, Mustafa Alshwayyat, Ramez M. Odat, Hamdah Hanifa, Wafa Asha, Nesreen A. Saadeh

“…ML models showed metastasis, surgery + RT, and age were significant factors for HCC, while the N component of TNM, metastasis, and tumor size were significant for CCV. …”
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Advanced Sales Route Optimization Through Enhanced Genetic Algorithms and Real-Time Navigation Systems by Wilmer Clemente Cunuhay Cuchipe, Johnny Bajaña Zajia, Byron Oviedo, Cristian Zambrano-Vega

“…This study proposes a novel Hybrid Genetic Algorithm (GAAM-TS) that integrates Adaptive Mutation, Tabu Search, and an LSTM-based travel time prediction model to enable real-time, intelligent route planning. …”
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VRU-YOLO: A Small Object Detection Algorithm for Vulnerable Road Users in Complex Scenes by Yunxiang Liu, Yuqing Shi

“…To overcome these challenges, this paper proposes an improved VRU detection algorithm based on YOLOv8, named VRU-YOLO. First, we redesign the neck structure and construct a Detail Enhancement Feature Pyramid Network (DEFPN) to enhance the extraction and fusion capabilities of small target features. …”
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A Frequency Domain Fitting Algorithm Method for Automotive Suspension Structure under Colored Noise by Xiangyu Lu, Huaihai Chen, Xudong He

“…So, this paper proposes a frequency domain fitting algorithm (FDFA) based on colored noise excitation. …”
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Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

“…We use an array of nine elliptical Planar Hall Effect (PHE) sensors and machine learning algorithms to map the magnetic signal generated by a magnetic source. …”
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Heuristic Algorithms for the Heterogeneous Vehicle Routing Problem With Time Windows, Customers Priority, Pickup and Delivery by Moayad Tanash, Rami As'Ad

“…As for the second phase, both heuristics embrace a common Variable Neighborhood Search (VNS) algorithm that explores seven different neighborhoods to improve upon the initial solutions. …”
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Improved Algorithm for Vehicle Bottom Safety Detection Based on YOLOv8n: PSP-YOLO by Di Zhao, Yulin Cheng, Sizhe Mao

“…To address these issues and improve the real-time performance of under-vehicle safety inspection, the YOLOv8n object-detection algorithm was enhanced, resulting in the PSP-YOLO algorithm. …”
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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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Synthetic Data-Based Algorithm Selection for Medical Image Classification Under Limited Data Availability by Maxim Zhabinets, Benjamin Tyler, Martin Lukac, Shinobu Nagayama, Ferdinand Molnár, Michitaka Kameyama

“…The Algorithm selection approach improves performance by dynamically choosing the optimal Algorithm for each input instance. …”
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Mean Shift Fusion Color Histogram Algorithm for Nonrigid Complex Target Tracking in Sports Video by Yu Liu, Xiaoyan Wang

“…The multiple hypothesis target tracking algorithms are used to track multiple targets, while the chunking feature is used to solve the problem of mutual occlusion and adhesion between targets. …”
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Nonlinear Unsteady Aerodynamics Reduced Order Model of Airfoils Based on Algorithm Fusion and Multifidelity Framework by Yan Shi, Zhiqiang Wan, Zhigang Wu, Chao Yang

“…This method integrates the traditional algorithm, intelligent algorithm, and multifidelity data fusion algorithm. …”
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eFC-Evolving Fuzzy Classifier with Incremental Clustering Algorithm Based on Samples Mean Value by Emmanuel Tavares, Gray Farias Moita, Alisson Marques Silva

“…Starting its knowledge base from scratch, the eFC structure evolves based on a clustering algorithm that can add, merge, delete, or update clusters (= rules) simultaneously while providing class predictions. …”
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Weak Labeling-specific Emitter Identification Algorithm Based on the Weakly Supervised Wav-KAN Network by Kangsheng LIU, Qing LING, Wenjun YAN, Limin ZHANG, Keyuan YU, Hengyan LIU

“…Experimental validation using a real acquisition radar dataset demonstrates that the proposed algorithm achieves a recognition accuracy of approximately 95% for specific emitters while maintaining high efficiency, a small parameter scale, and strong adaptability, making it suitable for practical applications.…”
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Major Recommendation System for New Students at SMK Muhammadiyah 1 Lamongan with Naive Bayes Algorithm by Wildan Irsyad Muzaqi, M. Ghofar Rohman, Danang Bagus Reknadi

“…Of the total 675 student data collected, 60% or 405 data were used as training data to train the Naive Bayes algorithm, while the remaining 40% or 270 data were used as test data to measure the accuracy level of the recommendation system. …”
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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Application of such algorithms include automate segmentation, lesion detection, and real-time image analysis, optimizing dose parameters based on patient-specific factors, thus prioritizing patient safety and treatment effectiveness while revolutionizing medical imaging. …”
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Research on Crimp Pitch Measurement for Overhead Transmission Line Based on Image Processing With Composite Algorithm by Junjie Zhang, Huashen Guan, Qiushen Cai, Xiaoguang Zhang, Huitu Shao, Shengguan Qu

“…This paper proposes an automated crimp pitch measurement system for overhead transmission lines based on image processing with a composite algorithmic approach. First, the indentation enhancement algorithm and indentation segmentation algorithm are used on the captured image to accurately identify the indentation region. …”
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State-of-the-Art Review: Models and Algorithms for Optimal Power System Design, Stabilization, and Reliability Enhancement by Senele Njabulo Zwane, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach was utilized to systematically identify and refine the focus on the topic using the Scopus database, while VOSviewer assisted in analyzing trends. Noticeable aspect from the results includes the prevalence of metaheuristic algorithms like genetic algorithms, particle swarm optimization, cuckoo search, and various others. …”
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Towards an RFI Mitigation Algorithm in Synthetic Aperture Interferometer Radiometry: Application to the SMOS Space Mission by Ali Khazaal

“…This contamination degrades the reconstructed brightness temperature (BT) maps, impacting the retrieval of key geophysical parameters, such as soil moisture and sea surface salinity. While extensive efforts—ranging from detection and localization algorithms to global shutdown campaigns—have led to substantial improvements in data quality, RFI remains a persistent challenge. …”
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A Positioning and Tracking Performance–Enhanced Composite Control Algorithm for the Macro–Micro Precision Stage by Zhiwei Zhou, Jian Gao, Lanyu Zhang

“…In the macro–micro composite motion process, the macro stage achieves rapid motion in a large workspace, while the micro stage realizes precise positioning within a small displacement. …”
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Nonlinear Path Optimization Algorithm for Mining Trucks Based on Two-Layer Trust Region Strategy by PENG Fan, HU Yunqing, LIU Yong, DENG Mukun, LUO Yu, LIU Xibing

“…In obstacle avoiding experiments, the application of the proposed algorithm increased the distance from obstacles to a certain extent, while maintaining a low curvature. …”
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