Results 101 to 110 of about 1,980,897 (317)
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
A survey on deep learning based reenactment methods for deepfake applications
IET Image ProcessingAmong the sectors that deep learning has transformed, deepfake, a novel method of manipulating multimedia, deserves particular attention. The long‐term objective of many researchers is to seamlessly mimic human facial movement or whole‐body activity ...
Ramamurthy Dhanyalakshmi +2 more
doaj +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
A fast direct locator for radiation source based on composite convolution neural network
Electronics LettersThe high spatial search complexity of the direct positioning method in passive positioning systems leads to long positioning time and high computational resource consumption.
Chenhao Gong +3 more
doaj +1 more source
International Conference on Data Technologies and Applications, 2019 Farm detection using low resolution satellite images is an important topic in digital agriculture. However, it has not received enough attention compared to high-resolution images.
S. Sharifzadeh, Jagati Tata, Bo Tan
semanticscholar +1 more source
Low Frequency Ultrasonic Voice Activity Detection using Convolutional Neural Networks [PDF]
Low frequency ultrasonic mouth state detection uses reflected audio chirps from the face in the region of the mouth to determine lip state, whether open, closed or partially open.
Song, Yan, McLoughlin, Ian Vince
core
Two Algebraic Process Semantics for Contextual Nets
, 2001 We show that the so-called 'Petri nets are monoids' approach initiated by Meseguer and Montanari can be extended from ordinary place/transition Petri nets to contextual nets by considering suitable non-free monoids of places.
SASSONE V. +5 more
core +1 more source
Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems
Advanced Robotics Research, EarlyView.A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley +1 more source
PSANet: Automatic colourisation using position‐spatial attention for natural images
IET Computer VisionDue to the richness of natural image semantics, natural image colourisation is a challenging problem. Existing methods often suffer from semantic confusion due to insufficient semantic understanding, resulting in unreasonable colour assignments ...
Peng‐Jie Zhu +6 more
doaj +1 more source
Representing Spatial Relations using Convolutional Neural Networks
, 2016 Recent interest in deep neural networks in the machine learning community is mainly due to their ability to produce state-of- the-art results in various domains, without the need to manually engineer features.
Haldekar, Mandar Keshav
core +1 more source