Results 31 to 40 of about 22,028,757 (282)

NOTATIONAL ANALYSIS IN BASKETBALL [PDF]

, 2015
U ovom je radu opisana notacijska analiza izvedbe u košarci. Podaci dobiveni notacijskom analizom trenerima, stručnim kadrovima i samim igračima daju povratnu informaciju na temelju čega mogu planirati, programirati i provoditi trenaţni proces s ciljem ...
Matoić, Tomislav
core   +1 more source

Enhancing CMMN: Conceptual Development of a Notational Variant for Case Management Modeling

Systems
The Case Management Model and Notation (CMMN) supports the modeling of dynamic, semi-structured, and knowledge-intensive processes, but its adoption remains limited due to conceptual and visual shortcomings. Using a Design Science Research Method (DSRM),
Mateja Bule, Gregor Polančič
doaj   +1 more source

A Comparative Analysis of Task Modeling Notations

Acta Universitaria, 2012
Task Models describe how to perform activities to reach users' goals. Task models represent the intersection between user interface design and more systematic approaches. Task models can be represented at various abstraction levels. When designers want to specify only requirements regarding how activities should be performed, they consider only the ...
Josefina Guerrero-García, Juan González-Calleros, Jean Vanderdonckt   +2 more
openaire   +2 more sources

Notational analysis in soccer: past, present and future.

, 2006
Notational analysis is now widely used in soccer, the result of influential previous research, its use by well respected individuals within the sport and the development of affordable technology.
James, N.
core   +4 more sources

Staged Notational Definitions [PDF]

, 2003
Recent work proposed defining type-safe macros via interpretation into a multi-stage language. The utility of this approach was illustrated with a language called MacroML, in which all type checking is carried out before macro expansion. Building on this
Patricia Johann (22021565), Walid Taha (22794473)   +1 more
core   +3 more sources

The Scoring Techniques in the Final Competitions of the Karate World Championships 2016 [PDF]

Annals of Applied Sport Science, 2020
Background. Scoring is the main determinant factor for winning in any sport and good techniques can facilitate scoring. In Karate, there are series of punching and kicking techniques that fighters use for scoring. Objectives. The aim of this research was
Mahdi Alinaghipour, Ehsan Zareian, Zahra Pooraghaei Ardakani   +2 more
doaj  

Serving Patterns of Women’s Badminton Medalists in the Rio 2016 Olympic Games

Frontiers in Psychology, 2020
The aim of the present study was to describe and identify the serving performance profiles of medalists during an elite women’s badminton tournament taking notational and temporal variables into account.
Miguel-Ángel Gómez-Ruano, Adrián Cid, Fernando Rivas, Fernando Rivas, Fernando Rivas, Luis-Miguel Ruiz   +5 more
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source