Results 91 to 100 of about 73,468 (309)
Fractal Neural Network Approach for Analyzing Satellite Images
Applied Artificial IntelligenceSatellites play a critical role in modern technology by providing images for various applications, such as detecting infrastructure and assessing environmental impacts. The author’s work investigates the application of Fractal Neural Networks (FractalNet)
Volodymyr Shymanskyi +2 more
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Transfer learning between texture classification tasks using convolutional neural networks [PDF]
, 2015 Conteúdo online de acesso restrito pelo editorConvolutional Neural Networks (CNNs) have set the state-of-the-art in many computer vision tasks in recent years.
Oliveira, Luiz S. +3 more
core +1 more source
Evolutionary Design of Convolutional Neural Networks [PDF]
, 2021 The aim of this Master's thesis is to describe basic technics of evolutionary computing, convolutional neural networks (CNN), and automated design of neural networks using neuroevolution ( NAS - Neural Architecture Search ).
Pristaš, Ján
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
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
Advanced Robotics Research, EarlyView.This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
Accuracies of convolutional neural networks (CNNs) as compared against crowd consensus classifications of ‘snow’ or ‘no snow’ for three datasets. [PDF]
, 2018 Accuracies of convolutional neural networks (CNNs) as compared against crowd consensus classifications of ‘snow’ or ‘no snow’ for three datasets.
Koen Hufkens (830074) +2 more
core +1 more source
Energy-Efficient Architecture for CNNs Inference on Heterogeneous FPGA
Journal of Low Power Electronics and Applications, 2019 Due to the huge requirements in terms of both computational and memory capabilities, implementing energy-efficient and high-performance Convolutional Neural Networks (CNNs) by exploiting embedded systems still represents a major challenge for hardware ...
Fanny Spagnolo +3 more
doaj +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Musical Instrument Recognition in Polyphonic Audio Through Convolutional Neural Networks and Spectrograms [PDF]
This study investigates the task of identifying musical instruments in polyphonic compositions using Convolutional Neural Networks (CNNs) from spectrogram inputs, focusing on binary classification. The model showed promising results, with an accuracy of
Ghobakhlou, Ali +2 more
core