Results 141 to 150 of about 6,836,023 (328)

Train to include – the promotion of inclusive practice through training in context. [PDF]

open access: yes, 2015
The project "Training to Include" was aimed at promoting inclusive practices through training in context of professionals from various educational levels.
Luís, Helena   +2 more
core  

Unilateral Ankle‐Foot Exoneuromusculoskeleton with Balance‐Sensing Feedback for Self‐Help Telerehabilitation after Stroke

open access: yesAdvanced Robotics Research, EarlyView.
This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye   +16 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced 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

The quality and relevance of staff training to deliver adult basic education (ABE) and English for speakers of other languages (ESOL) [PDF]

open access: yes, 2010
"This report is published in response to a request in the annual Ministerial remit to Estyn for 2009-2010 to evaluate the quality and relevance of staff training to deliver ABE and ESOL...

core  

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

Implications of Pooling Strategies in Convolutional Neural Networks: A Deep Insight

open access: yesFoundations of Computing and Decision Sciences, 2019
Convolutional neural networks (CNN) is a contemporary technique for computer vision applications, where pooling implies as an integral part of the deep CNN.
Sharma Shallu, Mehra Rajesh
doaj   +1 more source

Prevalence and attitudes of smoking among secondary school teachers in Hadramout coastal districts, Yemen [PDF]

open access: yes, 2006
A descriptive KAP study about smoking was conducted in all the ten secondary schools in Hadramout coastal districts during October 2004 – April 2005 and a total of 317 teachers were enrolled in the study (182 male, 135 female teachers).
Bahaj Ali, Ahmed   +1 more
core  

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Transition Planning -- Responsibilities and Strategies [PDF]

open access: yes, 2011
This meta-synthesis of the literature, on transition planning for youth with disabilities, examines several important facets that impact the post school outcomes for students with disabilities.
Arnold, Art
core  

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

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