Results 101 to 110 of about 29,428 (264)
Decoding Phase-Based Information From Ssvep Recordings: A Comparative Study
, 2011 In this paper, we report on and compare the decoding of phase-based information from steady-state visual evoked potential (SSVEP) recordings by means of different classifiers.
van Vliet, Marijn +5 more
core +1 more source
Effective Side Effect Machines for Decoding
, 2020 The development of general edit metric decoders is a challenging problem, especially with the inclusion of additional biological restrictions that can occur when using error correcting codes in biological applications.
Houghten, Sheridan, Banik, Sharnendu
core +1 more source
Muscle Control of an Extra Robotic Digit
Advanced 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
Journal of CheminformaticsTransformer-based, template-free SMILES-to-SMILES translation models for reaction prediction and single-step retrosynthesis are of interest to computer-aided synthesis planning systems, as they offer state-of-the-art accuracy.
Mikhail Andronov +4 more
doaj +1 more source
A Lightweight Change Detection Network Based on Feature Interleaved Fusion and Bistage Decoding
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDeep learning techniques for change detection have undergone rapid development in the past few years. However, it is still a challenge how to reduce massive network parameters and sufficiently fuse bitemporal image features to improve detection accuracy.
Mengmeng Wang +4 more
doaj +1 more source
Advanced Robotics Research, EarlyView.Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Principles for the Prediction of Video Decoding Times
, 2008 In this paper, we present a method to predict per-frame decoding times of modern video decoder algorithms. By examining especially the MPEG-1, MPEG-2, and MPEG-4 pt.
core
, 2020 A robust method to help identify the population of neurons used for decoding motor tasks is developed. We use sensitivity analysis to develop a new metric for quantifying the relative contribution of a neuron towards the decoded output, called " ...
Soumyadipta Acharya +5 more
core
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Upper and Lower-Limb Motor Decoding for Adaptive and Generalized Neural Rehabilitation
IEEE Transactions on Neural Systems and Rehabilitation EngineeringDecoding motor intentions from electromyographic (EMG) signals holds transformative potential for neurorehabilitation and assistive technologies, yet existing approaches remain fundamentally constrained by limb-specific architectures, poor generalization
Hunmin Lee, Daehee Seo
doaj +1 more source