Results 41 to 50 of about 68,692,306 (348)

Sports Information Systems: A systematic review

open access: yesInternational Journal of Computer Science in Sport, 2021
Many professional sport organizations are currently in the process of finding or already using sports information systems (SIS) to integrate data from different information and measurement systems. The problem is that requirements are very heterogeneous.
Blobel Thomas, Rumo Martin, Lames Martin
doaj   +1 more source

Concurrent Validity and Reliability of Two Portable Powermeters (Power2Max vs. PowerTap) to Measure Different Types of Efforts in Cycling

open access: yesSensors, 2023
The purpose was to assess the concurrent validity and reliability of two portable powermeters (PowerTap vs. Power2Max) in different types of cycling efforts. Ten cyclists performed two submaximal, one incremental maximal and two supramaximal sprint tests
Javier Iglesias-Pino   +3 more
doaj   +1 more source

Validation of Deep Learning-Based DFCNN in Extremely Large-Scale Virtual Screening and Application in Trypsin I Protease Inhibitor Discovery

open access: yesFrontiers in Molecular Biosciences, 2022
Computational methods with affordable computational resources are highly desirable for identifying active drug leads from millions of compounds. This requires a model that is both highly efficient and relatively accurate, which cannot be achieved by most
Haiping Zhang   +7 more
doaj   +1 more source

Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications

open access: yesJournal of Big Data
The k-Nearest Neighbors (kNN) method, established in 1951, has since evolved into a pivotal tool in data mining, recommendation systems, and Internet of Things (IoT), among other areas.
R. Halder   +4 more
semanticscholar   +1 more source

Designing A Skill Tests Battery For Midfield Football Players Under 17 Years Old

open access: yesمجلة العلوم و التكنولوجية للنشاطات البدنية و الرياضية
The study aims to design a skill tests battery for midfield football players under 17 years old for the first regional teams in Annaba, designed according to the principles and stages of test design.
Aknouche Mokhtar   +2 more
doaj   +1 more source

Acquiring a doctoral degree: was it worth it?

open access: yesFuture Science OA, 2020
When I started my doctoral degree a couple of years ago at the University of Tasmania in Australia, my enthusiasm for starting a doctoral degree with a scholarship was very high; however, along the way, due to various challenges, I began to ask myself ...
Olumide A Odeyemi
doaj   +1 more source

Identification of Key Genes as Potential Drug Targets for Gastric Cancer

open access: yesTsinghua Science and Technology, 2023
Gastric cancer (GC) is one of the most common cancers and ranks the third in cancer mortality all over the world. The goal of this study was to identify potential hub-genes, highlighting their functions, signaling pathways, and candidate drugs for the ...
Md. Tofazzal Hossain   +4 more
doaj   +1 more source

AI Somatotype System Using 3D Body Images: Based on Deep-Learning and Transfer Learning

open access: yesApplied Sciences
Humans share a similar body structure, but each individual possesses unique characteristics, which we define as one’s body type. Various classification methods have been devised to understand and assess these body types.
Jiwun Yoon, Sang-Yong Lee, Ji-Yong Lee
doaj   +1 more source

Design, Validation, and Reliability of an Observational Instrument for Technical and Tactical Actions in Singles Badminton

open access: yesFrontiers in Psychology, 2020
Technical and tactical actions are decisive in terms of badminton player competitive performance. The main objective of this research was to design, validate, and estimate the reliability of an observational instrument for the analysis of the tactical ...
Gema Torres-Luque   +7 more
doaj   +1 more source

DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation [PDF]

open access: yesPeerJ, 2020
Accurate identification of ligand-binding pockets in a protein is important for structure-based drug design. In recent years, several deep learning models were developed to learn important physical–chemical and spatial information to predict ligand ...
Haiping Zhang   +6 more
doaj   +2 more sources

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