VisualSAF-A Novel Framework for Visual Semantic Analysis Tasks by Antonio V. A. Lundgren, Byron L. D. Bezerra, Carmelo J. A. Bastos-Filho

“…The framework leverages semantic variables extracted using machine learning algorithms to provide additional high-level information, augmenting the capabilities of the primary task model. …”
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Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator by Sateesh, Kaustubh Chakarwar, Shubham Sahay

“…The recent advancements in data mining, machine learning algorithms and cognitive systems have necessitated the development of neuromorphic processing engines which may enable resource and computationally intensive applications on the internet-of-Things (IoT) edge devices with unprecedented energy efficiency. …”
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Clinical Whole-Body Gait Characterization Using a Single RGB-D Sensor by Lukas Boborzi, Johannes Bertram, Roman Schniepp, Julian Decker, Max Wuehr

“…Here, we present vGait, a comprehensive 3D gait assessment method using a single RGB-D sensor and state-of-the-art pose-tracking algorithms. vGait was validated in healthy participants during frontal- and sagittal-perspective walking. …”
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Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring by Jiawen Wang, Chunyan Min, Feng Yu, Kai Chen, Ling Mao

“…The top 56% of the highest scoring features were then combined using several feature selection algorithms to perform the cough classification task. …”
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Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network by Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh

“…The study aims to investigate the potential of deep learning (DL) algorithms for the improved segmentation of ischemic lesions. …”
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A Hierarchical Behavioral Dynamic Approach for Naturally Adaptive Human-Agent Pick-and-Place Interactions by Maurice Lamb, Patrick Nalepka, Rachel W. Kallen, Tamara Lorenz, Steven J. Harrison, Ali A. Minai, Michael J. Richardson

“…A key challenge is that high-level task-representational algorithms and preplanned action or motor programs quickly become intractable, even for simple interaction scenarios. …”
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Web search results processing in an information support system for decision-making processes by S. F. Lipnitsky, L. V. Stepura

“…The proven properties of such structures provide algorithmization of information processes in the model under consideration.Conclusion. …”
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Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models by Ibrahim Abdulwahab, Sulaiman Haruna Sulaiman, Umar Musa, Ibrahim Abdullahi Shehu, Abdullahi Kakumi Musa, Ismaila Mahmud, Mohammed Musa, Abdullahi Abubakar, Abdulrahman Olaniyan

“… The research is set to predict solar irradiation using various machine learning algorithms. This is done in order to construct and develop a high-efficiency prediction model that uses actual meteorological data to predict daily solar irradiance for the town of Zaria, Nigeria. …”
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Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning by Caner Koç, Kamil Ekinci, Ömer Ertuğrul, Dilara Gerdan Koc, Havva Eylem Polat

“…The DenseNet201 algorithm attained a peak test accuracy of 99.53% and a validation accuracy of 99.83%. …”
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Progress in plant genome sequencing: research directions by M. K. Bragina, D. A. Afonnikov, E. A. Salina

“…Since the first plant genome of Arabidopsis thaliana has been sequenced and published, genome sequencing technologies have undergone significant changes. New algorithms, sequencing technologies and bioinformatic approaches were adopted to obtain genome, transcriptome and exome sequences for model and crop species, which have permitted deep inferences into plant biology. …”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…Compared with the other two comparison algorithms, the detection time required by the proposed model was the shortest at 115us and consumed the least amount of resources. …”
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Analysis of ACAM Data for Trace Gas Retrievals during the 2011 DISCOVER-AQ Campaign by C. Liu, X. Liu, M. G. Kowalewski, S. J. Janz, G. González Abad, K. E. Pickering, K. Chance, L. N. Lamsal

“…Correcting ACAM radiance in direct-fitting based ozone profile algorithm significantly improves the consistency with OMI total ozone.…”
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Was Copernicus an Astrologer? by George Borski, Ivan Kolkov

“…However, apparently it was not rectified by the algorithms most popular at the time. The findings suggest the number-symbolic rather than astrological inclinations of Copernicus. …”
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Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation by Achal Shetty, Sanjana S. Narasimhamurthy, KS Nataraj, Srilakshmi M. Prabhu, Neha Jagadeesh, Kunal Katre, Sumit Kumar, Neelesh Kapoor, Sudhir P. Haladi, Sankalp Gulati

“…Furthermore, system accuracy is consistent across varied subjects and settings, highlighting the importance of tailored data collection for development and evaluation of vital estimation algorithms.…”
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RETRACTED ARTICLE: Screening and identification of susceptibility genes for cervical cancer via bioinformatics analysis and the construction of an mitophagy-related genes diagnosti... by Zhang Zhang, Fangfang Chen, Xiaoxiao Deng

“…Furthermore, using machine learning algorithms, we constructed a clinical prognostic model and validated and optimized it via extensive clinical data. …”
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Advancing Hydrogel-Based 3D Cell Culture Systems: Histological Image Analysis and AI-Driven Filament Characterization by Lucio Assis Araujo Neto, Alessandra Maia Freire, Luciano Paulino Silva

“…<b>Background:</b> Machine learning is used to analyze images by training algorithms on data to recognize patterns and identify objects, with applications in various fields, such as medicine, security, and automation. …”
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A Data Fusion System for Simulation of Critical Scenarios and Decision-Making by Jimmy Anderson Flórez Zuluaga, Esteban Patiño Carrasco, Jose David Ortega Pabón, Kelly Gallego León, O. Lucía Quintero Montoya

“…This document describes an investigation product resulted in a simulation system, based on a combination of fuzzy logic, genetic algorithms and decision trees which let modelled and simulated various entities and their automatic response according to simulated patterns and situations, in which, through operators, decision maker can modify entities behaviour, according to parameterized restrictions and physical conditions. …”
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An Enhanced Drone Technology for Detecting the Human Object in the Dense Areas Using a Deep Learning Model by Mohamad Reda A. Refaai, Dhruva R. Rinku, I. Thamarai, null S. Meera, Naresh Kumar Sripada, Simon Yishak

“…This study focused on detecting wildfires at the beginning stages in forest and wilderness areas, utilizing deep learning-based computer vision algorithms that control and then mitigate massive damages to human life and forest management.…”
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Reinforcement Learning-Based Routing Protocol to Minimize Channel Switching and Interference for Cognitive Radio Networks by Tauqeer Safdar Malik, Mohd Hilmi Hasan

“…The channel selection is performed on the basis of reinforcement learning algorithms such as No-External Regret Learning, Q-Learning, and Learning Automata. …”
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Typical investigative situations in the initial phase of a war-related sexual violence investigation by O. O. Naumkin

“…A number of tasks that need to be solved by the pre-trial investigation body in order to obtain sufficient grounds for making a reasonable procedural decision determining the proper limits of the investigation have been identified. Algorithms of corresponding actions have been developed, which are reflected in a procedural form through the prism of the intellectual activity of an official, in particular, an inspection of the scene of the incident, questioning of the victim or witnesses, taking biological samples of a person, appointing forensic experts, taking measures to ensure criminal proceedings in the form of temporary access to things and documents for the purpose of extracting photo or video material in digital form, using OSINT technologies to identify the rapist through social networks Instagram, Facebook, VK, etc., conducting covert investigative (search) actions and operational-search activities in order to establish the location the suspect, etc.…”
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