Quantum approximated cloning-assisted density matrix exponentiation by Pablo Rodriguez-Grasa, Ruben Ibarrondo, Javier Gonzalez-Conde, Yue Ban, Patrick Rebentrost, Mikel Sanz

“…Classical information loading is an essential task for many processing quantum algorithms, constituting a cornerstone in the field of quantum machine learning. …”
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Development of personal competencies of a cardiologist by M. A. Kudinova, O. Yu. Shaydyuk

“…The article considers federal educational and professional standards for doctors’ training from a practical point of view. In contrast to algorithms, clinical guidelines and protocols for healthcare delivery, competence in the field of informing and communicating with a patient and legal representatives requires the humanitarian skills, that is, a fundamentally different methodological point of view. …”
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Image Inpainting Methods Evaluation and Improvement by Raluca Vreja, Remus Brad

“…Based on partial derivative equations or texture synthesis, many other hybrid techniques have been proposed recently. …”
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SELECTION OF LINEAR AND ELLIPTICAL OBJECTS IN THE IMAGE BASED ON THE CALCULATION OF THE CORRELATION COEFFICIENT by V. V. Bulatov

“…Many classifiers have a large computational complexity and do not meet the increasing requirements for recognition accuracy and speed, so the challenge is to develop new high-performance methods and algorithms.…”
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Simplified Pedestrian Tracking Filters with Positioning and Foot-Mounted Inertial Sensors by Henar Martin, Juan A. Besada, Ana M. Bernardos, Eduardo Metola, José R. Casar

“…Pedestrian tracking is one of the bases for many ubiquitous context-aware services, but it is still an open issue in indoor environments or when GPS estimations are not optimal. …”
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Evaluation of the Deep Q-Learning Models for Mobile Robot Path Planning Problem by Mehmet Gök

“…Search algorithms such as A* or Dijkstra are generally used to solve the path planning problem for mobile robots. …”
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Exploring weighting schemes for the discovery of informative generalized between pathway models to uncover pathways in genetic interaction networks by Kevin M. Yu, Lenore J. Cowen

“…The effect of different edge weighting schemes on the biological pathways returned by algorithms such as LocalCut has not been previously studied. …”
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A Robust Behavioral Biometrics Framework for Smartphone Authentication via Hybrid Machine Learning and TOPSIS by Moceheb Lazam Shuwandy, Qutaiba Alasad, Maytham M. Hammood, Ayad A. Yass, Salwa Khalid Abdulateef, Rawan A. Alsharida, Sahar Lazim Qaddoori, Saadi Hamad Thalij, Maath Frman, Abdulsalam Hamid Kutaibani, Noor S. Abd

“…Our analysis, supported by experimental results, ensure that the RF model outperforms the two other ML algorithms by getting F1-Score, accuracy, recall, and precision of 95.1%, 95.2%, 95.5%, and 94.8%, respectively. …”
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Comment on Dijkstra et al. A False-Negative Newborn Screen for Tyrosinemia Type 1—Need for Re-Evaluation of Newborn Screening with Succinylacetone. <i>Int. J. Neonatal Screen.</i>... by Marelle J. Bouva, Rose E. Maase, Ruurd M. van Elburg

“…The assessment of newborn screening (NBS) algorithms’ performance to ensure quality improvements is a continuous process: false-positive referrals can enable optimisations in the shorter term, but false-negative referrals are often only discovered many years after the screening has taken place [...]…”
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River Radii: A Comparative National Framework for Remote Monitoring of Environmental Change at River Mouths by Shane Orchard, Francois Thoral, Matt Pinkerton, Christopher N. Battershill, Rahera Ohia, David R. Schiel

“…Satellite remote sensing data products and algorithms present many new possibilities for monitoring these dynamic and often inaccessible environments. …”
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Mortality impact, risks, and benefits of general population screening for ovarian cancer: the UKCTOCS randomised controlled trial by Usha Menon, Aleksandra Gentry-Maharaj, Matthew Burnell, Andy Ryan, Jatinderpal K Kalsi, Naveena Singh, Anne Dawnay, Lesley Fallowfield, Alistair J McGuire, Stuart Campbell, Steven J Skates, Mahesh Parmar, Ian J Jacobs

“…Interventions One of two annual screening strategies: (1) multimodal screening (MMS) using a longitudinal CA125 algorithm with repeat CA125 testing and transvaginal scan (TVS) as second line test (2) ultrasound screening (USS) using TVS alone with repeat scan to confirm any abnormality. …”
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The Case for Higher Computational Density in the Memory-Bound FDTD Method within Multicore Environments by Mohammed F. Hadi

“…It is argued here that more accurate though more compute-intensive alternate algorithms to certain computational methods which are deemed too inefficient and wasteful when implemented within serial codes can be more efficient and cost-effective when implemented in parallel codes designed to run on today's multicore and many-core environments. …”
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Restraining Cultural Stereotyping in Computational Linguistics through Computational Ethics by Ikechukwu Monday Osebor, Carol C. Ohen

“…It has the ability to enable machines to understand, analyze and process human language with the aid of algorithms. Computational linguistics can in advertently perpetuate cultural stereotypes if not carefully considered in the development of language processing algorithms and models. …”
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TPNet: A High-Performance and Lightweight Detector for Ship Detection in SAR Imagery by Weikang Zuo, Shenghui Fang

“…Traditional ship detection algorithms in SAR imagery using manually designed operators lack accuracy, while many existing deep learning-based detection algorithms are computationally intensive and have room for accuracy improvement. …”
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OFDM Synchronization Errors and Effects of Phase Noise on WLAN Transceivers by Mourad Melliti, Salem Hasnaoui, Ridha Bouallegue

“…These methods are simulated and analyzed by computer. Finally, we propose many algorithms to correct the common phase error (CPE) of the phase noise and track well its variation.…”
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Logical optimization the multilevel representations of systems of Boolean functions based on partitioning into blocksand Shannon decomposition by P. N. Bibilo, N. A. Kirienko, Y. Y. Lankevich

“…The procedures use algorithms for partitioning systems of functions into subsystems and algorithms for optimizing multilevel representations of functions based on Shannon decomposition. …”
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Machine learning opportunities for nucleosynthesis studies by Michael S. Smith, Dan Lu

“…We briefly describe the most common types of machine learning algorithms, and then detail their numerous possible uses to advance nuclear astrophysics, with a focus on simulation-based nucleosynthesis studies. …”
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Positive Solutions and Iterative Approximations for a Nonlinear Two-Dimensional Difference System with Multiple Delays by Zeqing Liu, Shin Min Kang, Young Chel Kwun

“…Using the Banach fixed point theorem and a few new analysis techniques, we show the existence of uncountably many bounded positive solutions for the system, suggest Mann iterative algorithms with errors, and discuss the error estimates between the positive solutions and iterative sequences generated by the Mann iterative algorithms. …”
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Dynamical systems and complex networks: a Koopman operator perspective by Stefan Klus, Nataša Djurdjevac Conrad

“…The Koopman operator has entered and transformed many research areas over the last years. Although the underlying concept—representing highly nonlinear dynamical systems by infinite-dimensional linear operators—has been known for a long time, the availability of large data sets and efficient machine learning algorithms for estimating the Koopman operator from data make this framework extremely powerful and popular. …”
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A Primer for Disease Gene Prioritization Using Next-Generation Sequencing Data by Shuoguo Wang, Jinchuan Xing

“…The recent development of many computational algorithms and programs has vastly improved the ability to translate sequence data into valuable information for disease gene identification. …”
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