Results 141 to 150 of about 6,849,681 (296)

A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting

, 2020
Forecasting the traffic flow is a critical issue for researchers and practitioners in the field of transportation. Using the graph convolutional network (GCN) is widespread in traffic flow forecasting. Existing GCN-based methods mostly rely on undirected
Zhaoyang Li, Li, Lin, Lin Li, Tao, Xiaohui, Yuquan Peng, Li, Zhaoyang, Peng, Yuquan, Xiaohui Tao   +7 more
core   +1 more source

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

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

Corrigendum: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation. [PDF]

Front Neurosci, 2022
Nie X, Zhou X, Tong T, Lin X, Wang L, Zheng H, Li J, Xue E, Chen S, Zheng M, Chen C, Du M.   +11 more
europepmc   +1 more source

Fully convolutional neural network for removing background in noisy images of uranium bearing particles

, 2017
Removal of background signal with near 99% accuracy from particle SIMS images using a fully convolutional neural network.
Benjamin E. Naes, Lamar Butler, David Willingham, Keeyahna Foster, Caleb M. Gumbs, Jay G. Tarolli, Andrea L. Howard   +6 more
core   +1 more source

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

Advanced 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, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach. [PDF]

Front Neurosci, 2022
Salem M, Ryan MA, Oliver A, Hussain KF, Lladó X.   +4 more
europepmc   +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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy. [PDF]

J Clin Med, 2023
Alam M, Zhao EJ, Lam CK, Rubin DL.
europepmc   +1 more source

Pengenalan Teks Tulisan Tangan Menggunakan Fully Convolutional Neural Network [PDF]

, 2020
Pengenalan tulisan tangan dari citra masih menjadi hal yang sukar karena penulisan huruf yang memiliki ukuran yang berbeda-beda. Solusi pertama yang ditawarkan dari pengenalan citra tulisan tangan ini ialah menggunakan Convolutional Neural Network (CNN ...
Dewi Ayu, Nirmalasari
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, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source