Results 11 to 20 of about 4,495,422 (287)
Multi-task CNN Model for Attribute Prediction
IEEE Transactions on Multimedia, 2015 This paper proposes a joint multi-task learning algorithm to better predict attributes in images using deep convolutional neural networks (CNN). We consider learning binary semantic attributes through a multi-task CNN model, where each CNN will predict ...
Abdulnabi, Abrar H. +3 more
core +3 more sources
A Bio-Inspired Model-Based Approach for Context-Aware Post-WIMP Tele-Rehabilitation
Sensors, 2016 Tele-rehabilitation is one of the main domains where Information and Communication Technologies (ICT) have been proven useful to move healthcare from care centers to patients’ home.
Víctor López-Jaquero +5 more
doaj +1 more source
Cognitive Psychology, 2002 When subjects switch between a pair of stimulus-response tasks, reaction time is slower on trial N if a different task was performed on trial N - 1. We present a parallel distributed processing (PDP) model that simulates this effect when subjects switch between word reading and color naming in response to Stroop stimuli. Reaction time on "switch trials"
Gilbert, Sam J, Shallice, Tim
openaire +4 more sources
An Interactive Task Analysis Framework and Interactive System Research for Computer Aided Diagnosis
IEEE Access, 2017 Computer aided detection and diagnosis system (CAD) is designed to improve the efficiency and quality of medical diagnosis. The existing CAD system tries to realize a diagnosis process in an automatic way to replace the doctor's diagnosis work completely,
Rui Chen +7 more
doaj +1 more source
Multi-Task Learning Model for Kazakh Query Understanding
Sensors, 2022 Query understanding (QU) plays a vital role in natural language processing, particularly in regard to question answering and dialogue systems. QU finds the named entity and query intent in users’ questions.
Gulizada Haisa, Gulila Altenbek
doaj +1 more source
The Annual Report: A Prime Disclosure Document [PDF]
, 1973 Hard real-time task models have evolved from periodic models to more sophisticated graph-based ones like the Digraph Real-Time Task Model (DRT) [1]. These models have in common that tasks are sequential in nature and do not allow for forking structures ...
Ekberg, Pontus, Stigge, Martin, Yi, Wang
core +2 more sources
Task Allocation Into a Foraging Task With a Series of Subtasks in Swarm Robotic System
IEEE Access, 2020 In swarm robotic systems, task allocation is a challenging problem aiming to decompose complex tasks into a series of subtasks. We propose a self-organizing method to allocate a swarm of robots to perform a foraging task consisting of sequentially ...
Wonki Lee, Neil Vaughan, Daeeun Kim
doaj +1 more source
Developing Task Based Learning Materials Model for Translation Course
Al-Ishlah: Jurnal Pendidikan, 2022 This research was a pilot study which intended to develop Task based learning materials model for the Translation course. The study employed Research and Development. The research procedure of this study was adapted from Borg and Gall (1983).
Yanuarti Apsari +2 more
doaj +1 more source
Trayectorias: a new model for online task-based learning [PDF]
, 2004 This paper discusses a framework for designing online tasks that capitalizes on the possibilities that the Internet and the Web offer for language learning.
Mardomingo, R., Ros i Sole, C.
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UUV Cluster Strike Task Allocation Model Based on NSGA-Ⅲ
水下无人系统学报, 2023 The unmanned undersea vehicle(UUV) cluster will become important in future underwater operations. The task allocation of the UUV cluster is a key problem in the application of the UUV cluster, and it can be regarded as a weapon–target assignment problem ...
Sicong WU, Xi WU
doaj +1 more source