Results 81 to 90 of about 97,244 (288)

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

International Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Shivam Chaturvedi, Hilton Abilio Gründling, Rodrigo Varella Tambara, Wencong Su   +5 more
wiley   +1 more source

Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning

, 2019
Sensor fusion has wide applications in many domains including health care and autonomous systems. While the advent of deep learning has enabled promising multi-modal fusion of high-level features and end-to-end sensor fusion solutions, existing deep ...
Li, Peng, Li, Yang, Shim, Myung Seok, Zhang, Wenrui, Zhang, Xuchong, Zhao, Chenye   +5 more
core   +1 more source

Deep Multimodal Representation Learning from Temporal Data

, 2017
In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications.
Bernal, Edgar A., Chitta, Radha, Luo, Jiebo, Madhvanath, Sriganesh, Ramesh, Palghat, Yang, Xitong   +5 more
core   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Resource allocation for AI-native healthcare systems in 6G dense networks using deep reinforcement learning

Digital Communications and Networks
Although 6G networks combined with artificial intelligence present revolutionary prospects for healthcare delivery, resource management in dense medical device networks stays a basic issue.
Jianhui Lv, Chien-Ming Chen, Saru Kumari, Keqin Li   +3 more
doaj   +1 more source

Speaker Tracking Using Multi-modal Fusion Framework [PDF]

, 2012
This paper introduces a framework by which multi-modal sensory data can be efficiently and meaningfully combined in the application of speaker tracking. This framework fuses together four different observation types taken from multi-modal sensors. The advantages of this fusion are that weak sensory data from either modality can be reinforced, and the ...
Anwar Saeed, Ayoub Al-Hamadi, Michael Heuer   +2 more
openaire   +1 more source

Multi-Modal Recurrent Fusion for Indoor Localization

, 2022
This paper considers indoor localization using multi-modal wireless signals including Wi-Fi, inertial measurement unit (IMU), and ultra-wideband (UWB). By formulating the localization as a multi-modal sequence regression problem, a multi-stream recurrent fusion method is proposed to combine the current hidden state of each modality in the context of ...
Yu, Jianyuan, Pu, Wang, Koike-Akino, Toshiaki, Orlik, Philip V.   +4 more
openaire   +2 more sources

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

VAM-Net: Vegetation-Attentive deep network for Multi-modal fusion of visible-light and vegetation-sensitive images

International Journal of Applied Earth Observations and Geoinformation
Multi-modal fusion of remote sensing images poses challenges because of the intricate imaging mechanisms and variations in radiation across different modalities. Specifically, the fusion of visible-light and vegetation-sensitive images encounters similar
Yufu Zang, Shuye Wang, Haiyan Guan, Daifeng Peng, Jike Chen, Yanming Chen, Mahmoud R. Delavar   +6 more
doaj   +1 more source

Pedestrian Trajectory Prediction with Structured Memory Hierarchies

, 2018
This paper presents a novel framework for human trajectory prediction based on multimodal data (video and radar). Motivated by recent neuroscience discoveries, we propose incorporating a structured memory component in the human trajectory prediction ...
A Roy, A Yuan, CA Bhatt, D Derdikman, F Gobet, L Deng, MS Fanselow, RA Epstein, T Fernando, T Madl, VH Brun   +10 more
core   +1 more source