Clinical performance of human papillomavirus based cervical cancer screening algorithm: The result of a large Danish implementation study by Sofie Lindquist, Susanne K. Kjær, Kirsten Frederiksen, Dorthe Ørnskov, Lone Kjeld Petersen, Christian Munk, Marianne Waldstrøm

“…Conclusions In this pilot implementation study, an algorithm for HPV‐based screening was evaluated in a Danish setting. …”
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Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway by Harald Zandler, Jakob Abermann, Benjamin A. Robson, Alexander Maschler, Thomas Scheiber, Jonathan L. Carrivick, Jacob C. Yde

“…We conclude that continued development of deep learning-based feature tracking approaches for glacier velocity computations may substantially improve UAV-based velocity derivations applied to challenging situations. …”
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Classification of FAMACHA© Scores with Support Vector Machine Algorithm from Body Condition Score and Hematological Parameters in Pelibuey Sheep by Oswaldo Margarito Torres-Chable, Cem Tırınk, Rosa Inés Parra-Cortés, Miguel Ángel Gastelum Delgado, Ignacio Vázquez Martínez, Armando Gomez-Vazquez, Aldenamar Cruz-Hernandez, Enrique Camacho-Pérez, Dany Alejandro Dzib-Cauich, Uğur Şen, Hacer Tüfekci, Lütfi Bayyurt, Hilal Tozlu Çelik, Ömer Faruk Yılmaz, Alfonso J. Chay-Canul

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Adaptive backstepping control for electro-hydraulic servo system in extension sleeve press-fitting process of bearing pressing machine by Chen Hongsheng

“…People have proposed various related control algorithms. However, external disturbances and unmodeled dynamic factors are often inevitable in practical work and may produce significant influences on the performance of the control system. …”
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Quantum Attacks on HCTR and Its Variants by Mostafizar Rahman, Goutam Paul

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Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

“…Clinical data analysis must predict cardiovascular disease. Machine learning (ML) may aid decision making and prediction using the healthcare field’s massive data set. …”
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Using Optimization Algorithms for Effective Missing-Data Imputation: A Case Study of Tabular Data Derived from Video Surveillance by Mahmoud M. Eid, Kamal ElDahshan, Abdelatif H. Abouali, Alaa Tharwat

“…The first set uses synthetic datasets to compare four optimization algorithms—Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA), and the Sine–Cosine Algorithm (SCA)—to determine which one best identifies features related to the target feature. …”
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Noise injection into Freeman chain codes by Luka Lukač, Andrej Nerat, Damjan Strnad, Ivana Kolingerová, Borut Žalik

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Crops Disease Detection, from Leaves to Field: What We Can Expect from Artificial Intelligence by Youssef Lebrini, Alicia Ayerdi Gotor

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Optimizing Equivalent Property-Damage-Only (EPDO) Prediction Models with Genetic Algorithms: A Case Study on Roundabout Geometric Characteristics by Hossein Samadi, Omid Rahmani, Khaled Shaaban, Amir Saman Abdollahzadeh Nasiri, Mehrzad Hasanvand

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Combined single- and dual-energy CT workflow for dose calculation in radiotherapy by Hella Sand, Jens Edmund, Ane Appelt, Patrick Wohlfahrt, Vicki Trier Taasti, Laurids Østergaard Poulsen, Jimmi Søndergaard, Martin Skovmos Nielsen

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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…Using a data fusion approach, pre-existing knowledge about the track topography is incorporated into the LiDAR data processing pipeline in conjunction with the DBSCAN clustering algorithm to identify and classify potential obstacles based on point cloud density patterns. …”
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Pelvic congestion syndrome: historical aspects and a modern view on the problem (a literature review) by A. O. Nykonenko, B. S. Havrylenko

“…Detailed medical history, physical examination as well as maintaining diagnostic algorithm would allow the disease to be diagnosed correctly and timely. …”
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Methods for identifying health status from routinely collected health data: An overview by Mei Liu, Ke Deng, Mingqi Wang, Qiao He, Jiayue Xu, Guowei Li, Kang Zou, Xin Sun, Wen Wang

“…One fundamental step in using these data is developing algorithms to identify health status for use in observational studies. …”
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STOCK PRICE PREDICTION AND SIMULATION USING GEOMETRIC BROWNIAN MOTION-KALMAN FILTER: A COMPARISON BETWEEN KALMAN FILTER ALGORITHMS by Dimas Avian Maulana, A'yunin Sofro, Danang Ariyanto, Riska Wahyu Romadhonia, Affiati Oktaviarina, Mohammad Dian Purnama

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A novel superframe structure and optimal time slot allocation algorithm for IEEE 802.15.4–based Internet of things by Sangrez Khan, Ahmad Naseem Alvi, Mohammad Zubair Khan, Muhammad Awais Javed, Omar H Alhazmi, Safdar Hussain Bouk

“…This allocation process may cause large delay that may not be acceptable for few applications. …”
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A new model of Fleet Size and Mix Green Inventory Routing Problem, Solution: Multi-Objective Quantum Evolutionary Algorithm by Mohsen Zamani, Mahdi Alinaghian

“…Due to the NP-hard nature of the assessed problem, a meta-heuristic algorithm based on Quantum Evolutionary Algorithm (QEA) is proposed. …”
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A novel decision algorithm for the innovation and optimization in university labor education courses using fuzzy information involving multiple experts by Hailun Liu

“…Therefore, a decision algorithm is utilized to cope with these challenges. …”
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pSum-SaDE: A Modified p-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization by Rasim M. Alguliev, Ramiz M. Aliguliyev, Chingiz A. Mehdiyev

“…To solve the optimization problem a self-adaptive differential evolution algorithm is created. Differential evolution has been proven to be an efficient and robust algorithm for many real optimization problems. …”
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Characterisation of Human Exhaled Breath Gases for Chronic Obstructive Pulmonary Disease Utilising an E-Nose Sensor and the Bi-LSTM Algorithm by Nilakshi Maruti Mule, Dipti Durgesh Patil

“…Research has shown that the VOC profiles of COPD patients differ from those of healthy controls, indicating that the E-nose system may serve as a viable diagnostic tool for COPD patients. …”
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