Results 21 to 30 of about 4,495,422 (287)
Indian Journal of Science and Technology, 2015 To design and implement a task scheduling model which predicts a schedule for a new task set without actually running a task scheduling algorithm. Generating an optimal schedule of tasks for an application is critical for obtaining high performance in a heterogeneous computing environment and it is a hard problem.
G. Umarani Srikanth +3 more
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Incremental learning of skills in a task-parameterized Gaussian Mixture Model [PDF]
, 2016 The final publication is available at link.springer.comProgramming by demonstration techniques facilitate the programming of robots. Some of them allow the generalization of tasks through parameters, although they require new training when trajectories ...
BD Argall +7 more
core +2 more sources
A model for identifying project sprint tasks based on their description
Сучасний стан наукових досліджень та технологій в промисловості, 2023 The subject of research in this article is the identification of project sprint tasks. The purpose of the article is to find approaches to reducing the risks of not fulfilling sprint tasks.
Марина Гринченко +1 more
doaj +3 more sources
The effect of job similarity on forgetting in multi-task production [PDF]
, 2019 For many decades, research has been done on the effect of learning and forgetting for manual assembly operations. Due to the evolution towards mass customization, cycle time prediction becomes more and more complex.
Aghezzaf, El-Houssaine +5 more
core +1 more source
Multiple Choice Neurodynamical Model of the Uncertain Option Task. [PDF]
PLoS Computational Biology, 2017 The uncertain option task has been recently adopted to investigate the neural systems underlying the decision confidence. Latterly single neurons activity has been recorded in lateral intraparietal cortex of monkeys performing an uncertain option task ...
Andrea Insabato +2 more
doaj +1 more source
An Agent-Specific Stochastic Model of Generalized Reaching Task Difficulty
Applied Sciences, 2021 The ability of an agent to accomplish a trajectory during a certain motor task depends on the fit between external (environment) and internal (agent) constraints, also known as affordance.
Andrea Lucchese +3 more
doaj +1 more source
Multi-task Recommendation Model of Dual Perception Gated Interaction [PDF]
Jisuanji kexue yu tansuo, 2023 Aiming at the problem of negative migration in multi-task recommendation, the multi-task recommen-dation model of dual perception gated interaction (DPGI-MTRM) is proposed.
LIN Jian, WU Yun, CHEN Yukang
doaj +1 more source
Applied Sciences, 2020 Accuracy in executing a motor task, i.e., in following a given trajectory under geometrical constraints, is of great interest in work operations as well as in biomechanics applications.
Salvatore Digiesi +2 more
doaj +1 more source
Generative Task Network:New Paradigm for Autonomic Task Planning and Execution Based on LLM [PDF]
Jisuanji kexueOwing to the development of generative artificial intelligence,the intelligent planning technology of unmanned systems is set to undergo a new transformation.This paper first analyzes the shortcomings of traditional intelligent task planning paradigms in
HUANG Xueqin, ZHANG Sheng, ZHU Xianqiang, ZHANG Qianzhen, ZHU Cheng
doaj +1 more source
Deriving Presentations from Task Models [PDF]
, 1999 Most task-based approaches have been used to analyse and design the dialogue part of interactive applications. There has been less focus on how a task model can be used to derive systematically indications for the design of the presentation of a user interface.
Paterno' F. +2 more
openaire +4 more sources