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Transformed common spatial pattern for motor imagery-based brain-computer interfaces
Published 2023-03-01“…This study provides a promising approach for decoding MI EEG patterns, which is significant for the development of BCIs.…”
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MVC software architecture pattern for web-application of system of monitoring of airport transport
Published 2016-11-01“…The article describes MVC and MVP patterns, ways of interaction and the role of each component of the pattern, the possibility of using services when developing an application. …”
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Data-driven discovery and parameter estimation of mathematical models in biological pattern formation.
Published 2025-01-01“…We tested the method with Turing patterns and demonstrated its high accuracy and correspondence to analytical features. …”
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The impact of online food delivery applications on dietary pattern disruption in the Arab region
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Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns
Published 2025-01-01“…Both students’ feature vectors and behavior models constitute a comprehensive student’s learning behavioral pattern which is later used for the prediction of their course achievement. …”
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Significance of EEG-electrode combinations while calculating filters with common spatial patterns
Published 2024-09-01“…Objective: Common spatial pattern (CSP) is a common filter technique used for pre-processing of electroencephalography (EEG) signals for imaginary movement classification tasks. …”
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Bacteriological profile of burn patients in a tertiary care center – Changing pattern
Published 2023-01-01“…A total of 300 patients were studied and followed up for wound swabs, laboratory tests, and clinical features on the 2nd, 4th, 8th, and 14th postburn days. …”
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A hybrid approach for pattern recognition and interpretation in age-related false memory
Published 2025-07-01“…This knowledge gap is partly due to limitations in current methodologies used to examine age-related cognitive changes and their origins.MethodsIn the present study, a hybrid approach was developed that combines optimized machine learning techniques with large-scale transformer-based language models to identify behavioral patterns distinguishing true from false memories in both younger and older adults. …”
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Competitive pattern of global tin products trade from the perspective of industry chain
Published 2025-01-01“…This paper selects key competitive countries and relationships, examines the characteristics of specific communities, and analyzes the network’s structural features and evolution patterns over time. The results showed that: (1) The distribution of the intensity of competition in tin products is very uneven, the trend of oligopoly in upstream product competition is obvious, and the competition in midstream and downstream products is getting more and more intense. (2) The tin industry chain has developed a tripartite pattern of import competition in Asia, Europe, and North America. …”
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Composition pattern-aware web service recommendation based on depth factorisation machine
Published 2021-10-01“…Web service composition has become a prevalent software development method that enables developing powerful Mashups by effectively combining Web services with different functions. …”
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System for Elephant Ear-pattern Knowledge (SEEK) to identify individual African elephants
Published 2020-10-01“…A process that is not only labour intensive but also largely dependent on experiential skills that need to be developed over time by researchers. Over the course of almost 25 years, Elephants Alive has developed a unique System of Elephant Ear-pattern Knowledge (SEEK), which makes allowance for rapid individual identification of savannah elephants with reduced observer bias using basic software while also accommodating missing information or changes in identification features over time. …”
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Assessing Greece’s social vulnerability patterns in times of perma-crisis (2008–2022)
Published 2024-10-01“…IntroductionThe study aims to map and analyse the development of social vulnerability patterns in Greece through a perma-crisis context (economic crisis, austerity, covid-19, energy, and inflation crisis) over the period 2008-2022.MethodsThe paper rests on the construction of a composite index of four key pillars of social vulnerability (employment, living conditions, health, and education) consisting of 15 selected variables obtained from the official Eurostat datasets and using PCA analysis.ResultsOur findings show that social vulnerability patterns in Greece demonstrate a considerable shift during the stated period where certain social groups (i.e., NEETs and precarious workers) seem to suffer the most. …”
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Forced Convection Heat Transfer in V-Pattern Folded Core Sandwich Structures
Published 2022-01-01“…Fully developed laminar flow and heat transfer performance of V-pattern folded core sandwich structures subjected to forced convection are numerically investigated. …”
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Osteoarthritis progression pattern based on patient specific characteristics using machine learning
Published 2025-07-01“…Abstract This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. …”
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Amino Acid Patterns that Determine Antihyperuricemic Activity of Peptides: Identification and Predictive Analysis
Published 2024-12-01“…The authors developed a protocol for searching, identifying, and quantifying patterns of amino acid residues in target peptide sequences. …”
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Influence of Emergent Vegetation Layout on Flow Pattern in a Rectangular Shallow Basin
Published 2024-07-01“…The findings indicated a transition from bare to vegetated conditions, where an asymmetrical flow pattern featuring two distinct circulation sizes (or dead water zones) evolves into a symmetrical flow pattern with similar circulations. …”
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Explainable machine learning-driven models for predicting Parkinson’s disease and its prognosis: obesity patterns associations and models development using NHANES 1999–2018 data...
Published 2025-07-01“…We aimed to investigate the associations of obesity patterns on PD and all-cause mortality, while developing machine learning (ML)-driven predictive and prognostic models for PD. …”
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