Position Weight Matrix, Gibbs Sampler, and the Associated Significance Tests in Motif Characterization and Prediction by Xuhua Xia

“…Position weight matrix (PWM) is not only one of the most widely used bioinformatic methods, but also a key component in more advanced computational algorithms (e.g., Gibbs sampler) for characterizing and discovering motifs in nucleotide or amino acid sequences. …”
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Recursive State and Random Fault Estimation for Linear Discrete Systems under Dynamic Event-Based Mechanism and Missing Measurements by Xuegang Tian, Shaoying Wang

“…It is clear that the developed algorithms are dependent on the threshold parameters and the upper bound together with the probabilities of missing measurements and ROFs. …”
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Extracting book titles from book recommendation videos using a deep learning approach by Hamit Erdem, Bartu Sarımehmetoğlu

“…YOLO-based method was used in the study. Different YOLO algorithms were used in the study, and YOLOv5 was found to be more successful. …”
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“DTH 1.0”: TOWARDS AN ARTIFICIAL INTELLIGENCE DECISION SUPPORT SYSTEM FOR GEOGRAPHICAL ANALYSIS OF HEALTH DATA by Dimitris KAVROUDAKIS, Phaedon C. KYRIAKIDIS

“…Decision trees methods belong to knowledge discovery methodologies and use computational algorithms for the extraction of patterns from data. …”
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Advanced Operator Theory for Energy Market Trading: A New Framework by Michele Bufalo, Viviana Fanelli

“…The theoretical framework developed in this study provides a robust foundation for modeling stochastic processes relevant to financial markets. Furthermore, we apply these findings to energy market trading by developing specialized simulation algorithms and forecasting models. …”
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Artificial Intelligence by Augustus Orowhigo ATUBI

“…The robust growth of machine learning algorithms supported by various technologies like internet of things, robotic process automation, computer vision, natural language processing have enabled the growth of Al. …”
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Gender inequality and cardiovascular diseases by S. H. Lilothia

“…Developing sex and gender-specific algorithms for timely diagnosis, risk stratification, follow-up, and referral for surgical intervention, incorporating sex and gender into research, and studying the mechanisms of differences may help reduce the gap in outcomes between women and men. …”
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Algoriths and Procedures for Investment Audit Using a Risk-Based Approach by V. А. Yakimova, S. V. Pankova

“…The problems of creating methodology and techniques are relevant for both internal and external audit of investments. …”
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Pansharpening Techniques: Optimizing the Loss Function for Convolutional Neural Networks by Rocco Restaino

“…Machine-learning-based algorithms designed for this task require an extensive optimization phase of network parameters, which must be performed using unsupervised learning techniques. …”
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Is the concept of mammalian epigenetic clocks universal and applicable to invertebrates? by Ryszard Maleszka

“…Certain aspects of animal ageing can be quantified using molecular clocks or machine learning algorithms that are trained on specific omics data, with epigenetic clocks based on DNA methylation (DNAm) garnering the most attention. …”
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Regulating neural data processing in the age of BCIs: Ethical concerns and legal approaches by Hong Yang, Li Jiang

“…Brain–computer interfaces (BCIs) have seen increasingly fast growth under the help from AI, algorithms, and cloud computing. While providing great benefits for both medical and educational purposes, BCIs involve processing of neural data which are uniquely sensitive due to their most intimate nature, posing unique risks and ethical concerns especially related to privacy and safe control of our neural data. …”
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A systematic review of machine learning approaches in cochlear implant outcomes by Anu Prasad Sreenivasan Nair, Srikanta K. Mishra, Pedro Andres Alba Diaz

“…Additionally, ML-based speech enhancement algorithms showed promise in improving speech recognition in noisy environments, a major challenge for CI users. …”
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Compliance to treatment and its role in solving the problem of uncontrolled hypertension by V. I. Podzolkov, A. E. Bragina, I. D. Medvedev, M. V. Vetluzhskaya, A. A. Abramova, I. Zh. Loria, N. K. Megeneishvili, A. V. Sutulova

“…Failure to achieve blood pressure targets and insufficient control are important cardiology problems that remain relevant despite well-defined and generally available modern algorithms for the treatment of hypertension (HTN) and the availability of effective antihypertensive drugs. …”
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Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review by Hesameddin Akbarein, Mohammad Hussein Taaghi, Mahyar Mohebbi, Parham Soufizadeh

“…It also examines the primary machine learning algorithms used in relevant studies, highlighting emerging trends in the field. …”
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Nonabelian anyon condensation in 2+1d topological orders: A string-net model realization by Yu Zhao, Yidun Wan

“…We also explicitly represent relevant UMTC categorical entities characterizing anyon condensation through our model-based physical quantities, providing practical algorithms for calculating these categorical data.…”
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Design and Implementation of an Ultra-Low-Power Hazardous Gas Monitoring System by Hongyu Liu, Yuchen Wang, Jiankang Yu, Shuqing Wang, Huijuan Chen

“…In addition, the system optimizes data acquisition and processing algorithms to segment gases of different concentrations. …”
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Software module for automatic correction of drawings obtained as a result of graphic data exchange between CAD systems, using the furniture production example by A. V. Kalinichenko, A. Yu. Alikov, T. A. Yurosheva

“…As part of the study, methods of geometric modeling, analytical geometry and graphical presentation of results were used. Result. Algorithms for automatic correction of parameters of position and outline of drawing fragments in the AutoCAD system have been developed, with complexity of O(n) and O(n2 ). …”
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A Hierarchical Framework for Selecting Reference Measures for the Analytical Validation of Sensor-Based Digital Health Technologies by Jessie P Bakker, Samantha J McClenahan, Piper Fromy, Simon Turner, Barry T Peterson, Benjamin Vandendriessche, Jennifer C Goldsack

“…The digital clinical measures they generate offer enormous benefits, including providing more patient-relevant data, improving patient access, reducing costs, and driving inclusion across health care ecosystems. …”
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Advancements in Bio‐Integrated Flexible Electronics for Hemodynamic Monitoring in Cardiovascular Healthcare by Ke Huang, Zhiqiang Ma, Bee Luan Khoo

“…Additionally, the review highlights the role of artificial intelligence algorithms and their practical applications in bio‐integrated electronics for hemodynamic detection. …”
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Modeling financial market dynamics with the use of fuzzy by K. A. Polekhina, G. Eu. Polekhina

“…Fuzzy mathematics is a   branch of   mathematics that studies methods and algorithms for dealing with fuzzy data and fuzzy objects. …”
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