Development of HTC-DBSCAN: A Hierarchical Trajectory Clustering Algorithm with Automated Parameter Tuning by Dae-Han Lee, Joo-Sung Kim

“…Density-Based Spatial Clustering of Applications (DBSCA) applies to many research fields; using the DBSCA with Noise (DBSCAN) algorithm, we propose an improved DBSCAN algorithm that automatically determines the parameters Epsilon and MinPts. …”
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The benefits of differential diagnostic algorithm application to the surgical practice through the example of pseudomembranous colitis by L. A. Averyanova, A. A. Baulin, O. A. Baulina, V. A. Baulin, D. D. Lipatova

“…Using the diagnostic algorithm presented in the work, the patient was diagnosed with leukocytosis up to 12×109/l, a decrease in the total protein content to 42 g/l, and an increase in the creatinine level to 90.2 μmol/l. …”
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ALGORITHM DEVELOPMENT FOR ASSESSMENT OF ACCURACY POSITIONING SYSTEMS GLONASS/GPS WITH DIFFERENTIATED APPLICATION OF FERTILIZERS by G. I. Lichman, V. A. Kolesnikova, N. M. Marchenko, A. N. Marchenko

“…The authors offered an algorithm of assessment of influence of size of diagram overlapping at adjacent passes of machines for application of fertilizers on quality of distribution across the field. …”
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Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation by Oriel Kiss, Utkarsh Azad, Borja Requena, Alessandro Roggero, David Wakeham, Juan Miguel Arrazola

“…We investigate the feasibility of early fault-tolerant quantum algorithms focusing on ground-state energy estimation problems. …”
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Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning by Tomás Barros-Everett, Elizabeth Montero, Nicolás Rojas-Morales

“…In this work, we explore the application of machine learning algorithms to suggest suitable parameter values. We propose a methodology to use k-nearest neighbours and artificial neural network algorithms to predict suitable parameter values based on instance features. …”
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The use of autofluorescence stomatoscopy in the algorithm of diagnosing of the oral mucosal abnormalities of patients with tuberculosis infection by T. P. Goryacheva, D. A. Zaplutanova, I. P. Goryacheva, O. A. Aleshina

“…The design of the study included the generally standard stages of a comprehensive dental examination of patients, in which diseases of the oral mucosa and the red border of the lips were additionally detected using autofluorescence stomatoscopy, as well as a laboratory Candida test was carried out. …”
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Why? What? When? Utility of 4DCT in the preoperative imaging algorithm of primary hyperparathyroidism by Swati P. Joshi, Jai Chowdhary, Sanyukta Gupta, Vineet Mishra

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A wireless sensor network for coal mine safety powered by modified localization algorithm by Hafiz Zameer ul Hassan, Anyi Wang, Ghulam Mohi-ud-din

“…The MATLAB simulation tool is used to enhance the localization of the proposed algorithm where, it is compare the traditional DV-Hop localization algorithm. …”
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An Algorithm Based on Connectivity Properties for Finding Cycles and Paths on Kidney Exchange Compatibility Graphs by Roger Z. Ríos-Mercado, L. Carolina Riascos-Álvarez, Jonathan F. Bard

“…In addition, an efficient algorithm is developed for detecting violated constraints and solving the problem. …”
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Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms by Shikha Sharda, Sumit Kumar, Raj Setia, Prince Dhiman, N. R. Patel, Brijendra Pateriya, Ali Salem, Ahmed Elbeltagi

“…This study presented a systematic approach for detecting the wheat lodging occurred during the end of March and April 2023 in the Ludhiana district of Punjab (India) from multi-temporal Sentinel-2 data using the machine learning algorithms. …”
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Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

“…Moving forward, regular monitoring, evaluation, and refinement of approaches in real-world settings are needed for clinical algorithms serve all patients equitably and effectively.Keywords: clinical algorithms, race correction, health disparities, algorithmic fairness, algorithmic bias, lung function, spirometer, bias mitigation, bias detection…”
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Enhancing Online Security: A Novel Machine Learning Framework for Robust Detection of Known and Unknown Malicious URLs by Shiyun Li, Omar Dib

“…The resulting malicious URL detection system (MUDS) combines supervised machine learning techniques, tree-based algorithms, and advanced data preprocessing, achieving a high detection accuracy of 96.83% for known MURLs. …”
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An Improved Autonomous Emergency Braking Algorithm for AGVs: Enhancing Operational Smoothness Through Multi-Stage Deceleration by Wenbo Li, Junting Qiu

“…The AEB algorithm not only considers straight-line driving scenarios but also optimizes deceleration strategies for turning scenarios, adjusting the deceleration detection range according to the turning trajectory. …”
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Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach by Isha Gupta, Anu Bajaj, Manav Malhotra, Vikas Sharma, Ajith Abraham

“…Comprehensive preprocessing techniques, including handling missing values, outlier detection, and normalization, were employed to ensure data quality. …”
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Building a Custom Crime Detection Dataset and Implementing a 3D Convolutional Neural Network for Video Analysis by Juan Camilo Londoño Lopera, Freddy Bolaños Martinez, Luis Alejandro Fletscher Bocanegra

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Identification method for wheel/rail tread defects based on integrated partial convolutional network by CHENG Xiang, HE Jing, ZHANG Changfan, JIA Lin

“…Experiments using actual wheel-rail tread datasets demonstrated that the proposed strategies outperformed traditional tread defect detection algorithms. The effectiveness and generalizability of the proposed method were further validated through comparative experiments, visualization analysis, and generalization tests.…”
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A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) by Zhenghao Li, Hao Chang, Mingrui Shang, Zhanhua Song, Fuyang Tian, Fade Li, Guizheng Zhang, Tingju Sun, Yinfa Yan, Mochen Liu

“…The experimental results demonstrate that the recall, precision, and average precision (<i>AP</i>_50:95) of the improved detection algorithm are 87.9%, 91.3% and 72.7%, respectively. …”
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Detection Model for 5G Core PFCP DDoS Attacks Based on Sin-Cos-bIAVOA by Zheng Ma, Rui Zhang, Lang Gao

“…After rigorous testing across a spectrum of attack scenarios, the proposed detection model exhibits superior performance compared to traditional DDoS detection algorithms. …”
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Particle Swarm Optimization Support Vector Machine-Based Grounding Fault Detection Method in Distribution Network by Zhongqin Xiong, Shichang Huang, Shen Ren, Yutong Lin, Zewen Li, Dongyu Li, Fangming Deng

“…With the present fault detection method for low-voltage distribution networks, it is difficult to detect single-phase grounding faults under complex working conditions. …”
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AI for Data Quality Auditing: Detecting Mislabeled Work Zone Crashes Using Large Language Models by Shadi Jaradat, Nirmal Acharya, Smitha Shivshankar, Taqwa I. Alhadidi, Mohammad Elhenawy

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