Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation by Juan Ródenas, Manuel García, Raúl Alcaraz, José J. Rieta

“…Finally, the combination of this algorithm with the classical analysis of RR series variability also yielded a promising trade-off between AF accuracy and detection delay. …”
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A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation by Reem Tluli, Ahmed Badawy, Saeed Salem, Mahmoud Barhamgi, Amr Mohamed

“…In the realm of Emergency Medical Services (EMS), the integration of Machine Learning (ML) techniques has emerged as a catalyst for revolutionizing ambulance operations. ML algorithms could play a pivotal role in dynamically allocating resources, devising efficient routes, and predicting demand patterns. …”
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Segment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration by Adrian Prados, Gonzalo Espinoza, Luis Moreno, Ramon Barber

“…To address this challenge, this work presents an algorithm for acquiring robotic skills through automatic and unsupervised segmentation. …”
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Diffeomorphic Registration of Images with Variable Contrast Enhancement by Guillaume Janssens, Laurent Jacques, Jonathan Orban de Xivry, Xavier Geets, Benoit Macq

“…Among the existing methods, nonparametric registration algorithms such as optical flow, or Demons, usually have the advantage of being fast and easy to use. …”
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A Semi-Supervised Learning Approach to Quality-Based Web Service Classification by Mehdi Nozad Bonab, Jafar Tanha, Mohammad Masdari

“…This algorithm labels the data using a two-step method of calculating a score for each service and dynamic thresholding. …”
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The technique of point visualization of the electric field in space and time by Z. M. Kurbanismailov, A. T. Tarlanov, E. M. Akimov

“…The algorithm is easily embedded into applications as a component of a mathematical modeling system. …”
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Risk Assessment for Complex Systems Based on Fuzzy Cognitive Maps: A Case of the Biopharmaceutical Industry by Hadi Abbasian, Reza Yousefi-Zenouz, Abdollah Amirkhani, Masoud Shirzadeh, Akbar Abdollahiasl, Shekoufeh Nikfar, Mohammadreza Siahi-Shadabad, Abbas Kebriaeezadeh

“…The Hebbian learning algorithms were then applied to train the FCM models. …”
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Minimal state models for ionic channels involved in glucagon secretion by Virginia González-Vélez, Amparo Gil, Iván Quesada

“…For estimation of model parameters, we use Monte Carlo algorithms to fit steady-state channel currents. Then, we simulate dynamic ionic currents following experimental protocols.Our aims are 1) To understand the individual ionic channel functioning and modulation that could affect glucagon secretion, and 2) To simulate ionic currents actually measured in voltage-clamp alpha-cell experiments in mice.Our estimations indicate that alpha cells are highly permeable to sodium and potassium which mainly manage action potentials. …”
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Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy Systems by Zheng Liu, Xinyu Yang, Shusen Yang, Julie McCann

“…We formalize the maximization problem as a nonlinear optimization problem and develop two efficient algorithms for its optimal solutions. The performance of our approaches is evaluated via extensive numeric simulations, and the results show that our efficiency-aware framework can, respectively, achieve 60% and 56% more active time (i.e. energy utilization) than the fixed duty cycle scheme and leakage-aware , a state-of-the-art scheme for photovoltaic-supercapacitor energy systems.…”
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Automatic Segmentation and Enhancement of Pavement Cracks Based on 3D Pavement Images by Baoxian Li, Kelvin C. P. Wang, Allen Zhang, Yue Fei

“…With pavement surface data, pavement cracks can be detected using crack detection algorithms. In this paper, a fully automated algorithm for segmenting and enhancing pavement crack is proposed, which consists of four major procedures. …”
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A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography by Roseline Oluwaseun Ogundokun, Oluwakemi Christiana Abikoye

“…Intruders were found to be able to efficiently exploit securely transmitted messages from previous literature since the algorithms were not efficient enough leading to distortion of information. …”
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Modulating gene expression as a strategy to investigate thyroid cancer biology by Diego Claro de Mello, Joice Moraes Menezes, Antonio Tarelo Freitas de Oliveira, Marcella Maringolo Cristovão, Edna Teruko Kimura, Cesar Seigi Fuziwara

“…This strategy has evolved methodologically due to advances in cloning approaches, modeling/algorithms in short hairpin RNA (shRNA) design for knockdown efficiency, and biochemical modifications in RNA synthesis, among other developments. …”
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Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs by Anitha Veerasamy, Srinivasa Rao Madane, K. Sivakumar, Audithan Sivaraman

“…Since the design securing requires more than two data algorithms, the cost of the system goes up. Another mechanism proposed in this paper, Angle and Context Free Grammar (ACFG) based precarious node elimination and secure communication in MANETs, intends to secure data transmission and detect precarious nodes in a MANET at a comparatively lower cost. …”
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Optimizing Natural Image Quality Evaluators for Quality Measurement in CT Scan Denoising by Rudy Gunawan, Yvonne Tran, Jinchuan Zheng, Hung Nguyen, Rifai Chai

“…Evaluating the results of image denoising algorithms in Computed Tomography (CT) scans typically involves several key metrics to assess noise reduction while preserving essential details. …”
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Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management by Menglin Yang, Hao Yu, Lu Bai

“…In real-world implementation, however, the diversity of turn paths exists due to multiple factors such as various vehicle sizes and automation control algorithms. The aim of this paper is to investigate how the variation in left-turn paths affects the feasibility and viability of optimal passing schedules, as well as the safety and efficiency of intersection operation. …”
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An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. by Ali Nawaz, Amir Ahmad, Shehroz S Khan, Mohammad Mehedy Masud, Nadirah Ghenimi, Luai A Ahmed

“…We employed fourteen different anomaly detection algorithms and evaluated their performance using Area Under the Receiver Operating Characteristics (AUCROC) and Area Under the Precision-Recall Curve (AUCPR) metrics. …”
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A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions by Yanfei Liu, Hao Zhang, Hao Zheng, Qi Li, Qi Tian

“…To address these challenges, we propose a spherical vector-based adaptive evolutionary particle swarm optimization (SAEPSO) algorithm. This algorithm, based on spherical vectors, directly incorporates UAV dynamic constraints and introduces improved tent map and reverse learning to enhance the diversity and distribution of initial solutions. …”
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Explainable Graph Spectral Clustering of text documents. by Bartłomiej Starosta, Mieczysław A Kłopotek, Sławomir T Wierzchoń, Dariusz Czerski, Marcin Sydow, Piotr Borkowski

“…However, the results of such algorithms, when applied e.g. to text documents, are hard to explain to the user, especially due to embedding in the spectral space which has no obvious relation to document contents. …”
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An Active Learning Approach with Uncertainty, Representativeness, and Diversity by Tianxu He, Shukui Zhang, Jie Xin, Pengpeng Zhao, Jian Wu, Xuefeng Xian, Chunhua Li, Zhiming Cui

“…Then, use the kernel k-means clustering algorithm to filter the redundant samples and the resulting samples are queried for labels. …”
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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

“…Four machine learning algorithms are applied to the finalized feature set to understand the difference between the binary and the multi-class classification problems. …”
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