Results 171 to 180 of about 1,718,101 (355)
Boosted Convolutional Neural Networks [PDF]
Procedings of the British Machine Vision Conference 2016, 2016 Mohammad Moghimi +5 more
openaire +2 more sources
MostafaNabieh/Convolutional-Neural-Network-CNN: CNN Project
, 2020 Cnn project by Tensorflow ...
Mostafa Nabieh, Mostafa Nabieh (8597619)
core +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
Advanced Robotics Research, EarlyView.This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
Advanced 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
Application of deep learning for division of petroleum reservoirs
MATEC Web of Conferences, 2018 Traditional methods of dividing petroleum reservoirs are inefficient, and the accuracy of onehidden-layer BP neural network is not ideal when applied to dividing reservoirs.
Qin Yaqiong, Ye Zhaohui, Zhang Conghui
doaj +1 more source
This study investigates the use of error control code, discrete wavelet transform (DWT) and artificial neural network (ANN) to improve the link performance of an indoor optical wireless communication in a physical channel.
Rajbhandari, Sujan
core
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
Crowd Density Estimation Using Deep Learning: A Convolutional Neural Network Approach for Real-time Monitoring [PDF]
Crowd density estimation is an essential aspect of public safety, urban management, and event monitoring. The emergence of deep learning techniques has revolutionized this domain by providing scalable, efficient, and accurate methods for estimating crowd
Jagriti, Singh, Khushi, Kawade
core
Shearlet transform and convolutional neural network for histopathology images in breast cancer classification [PDF]
Breast cancer stands out as one of the global health threats, as it may cause death if improperly treated. Thus, detecting the illness at the early stage through precise diagnosis is important to prevent progression of tumors with effective treatments ...
Bakar, M. A. A. +5 more
core +1 more source
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