Results 51 to 60 of about 115,636 (253)

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

open access: yesAdvanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim   +6 more
wiley   +1 more source

Prediction of Parallel Desiccation Cracks of Clays Using a Classification and Regression Tree (CART) Technique

open access: yes, 2022
Prediction of Parallel Desiccation Cracks of Clays Using a Classification and Regression Tree (CART ...
Roohollah Shirani Faradonbeh (14432793)   +3 more
core  

Forecasting creditworthiness in retail banking: a comparison of cascade correlation neural networks, CART and logistic regression scoring models [PDF]

open access: yes, 2015
The preoccupation with modelling credit scoring systems including their relevance to forecasting and decision making in the financial sector has been with developed countries whilst developing countries have been largely neglected.
Abdou, Hussein, Tsafack, Marc
core   +2 more sources

An All‐Fabric Wearable System for Human‐Machine Interaction

open access: yesAdvanced Materials Technologies, EarlyView.
An all‐fabric sensing system enables wearable human–machine interaction through a breathable, stretchable, and scalable design. The all‐fabric capacitive sensor achieves a gauge factor of 2.03 over 72% strain and supports body‐motion tracking, 90.5% hand gesture recognition, and real‐time prosthetic hand control, demonstrating a promising pathway ...
Rayane Tchantchane   +3 more
wiley   +1 more source

Applying CHAID for logistic regression diagnostics and classification accuracy improvement [PDF]

open access: yes
In this study a CHAID-based approach to detecting classification accuracy heterogeneity across segments of observations is proposed. This helps to solve some important problems, facing a model-builder: 1. How to automatically detect segments in which the
Antipov, Evgeny, Pokryshevskaya, Elena
core  

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

Classification and regression tree analysis of polymorphisms of estrogen metabolic and signaling pathway genes.

open access: yes, 2012
Classification and regression tree analysis of polymorphisms of estrogen metabolic and signaling pathway genes.
Yi-Rhu Chen (125264)   +15 more
core   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced 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

Appendix B. Classification and regression tree (CART) pruning using the rpart package in Program R.

open access: yes, 2016
Classification and regression tree (CART) pruning using the rpart package in Program ...
Elizabeth B. Harper (2907263)   +2 more
core   +1 more source

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ   +7 more
wiley   +1 more source

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