Results 61 to 70 of about 4,621,428 (298)

A minimal cellulosome‐like system in Cellulosilyticum lentocellum

FEBS Open Bio, EarlyView.
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan, Amias Alstrom‐Moore, Gary W Black   +2 more
wiley   +1 more source

MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking [PDF]

, 2023
3D single object tracking plays a crucial role in computer vision. Mainstream methods mainly rely on point clouds to achieve geometry matching between target template and search area. However, textureless and incomplete point clouds make it difficult for
Cui, Yubo, Fang, Zheng, Lin, Yu, Li, Zhiheng   +3 more
core  

Research on Emotion Classification Based on Multi-modal Fusion

مجلة بغداد للعلوم
Nowadays, people's expression on the Internet is no longer limited to text, especially with the rise of the short video boom, leading to the emergence of a large number of modal data such as text, pictures, audio, and video. Compared to single mode data
zhihua Xiang , Nor Haizan Mohamed Radzi, Haslina Hashim   +2 more
doaj   +1 more source

Serial fusion of multi-modal biometric systems

2010 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, 2010
Serial, or sequential, fusion of multiple biometric matchers has been not thoroughly investigated so far. However, this approach exhibits some advantages with respect to the widely adopted parallel approaches. In this paper, we propose a novel theoretical framework for the assessment of performance of such systems, based on a previous work of the ...
MARCIALIS, GIAN LUCA, Mastinu P., ROLI, FABIO   +2 more
openaire   +4 more sources

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Research on a PTSD Risk Assessment Model Using Multi-Modal Data Fusion

Mathematics
Post-traumatic stress disorder (PTSD) is a complex psychological disorder caused by multiple factors, which are not only related to individual psychological states but also closely linked to physiological responses, social environments, and personal ...
Youxi Luo, Yucui Shang, Dongfeng Zhu, Tian Zhang, Chaozhu Hu   +4 more
doaj   +1 more source

Teaching Quality Evaluation Method Based on SA-BPNN Multi-Modal Fusion [PDF]

Jisuanji gongcheng
A Simulated Annealing Backpropagation Neural Network (SA-BPNN)-based multi-modal fusion model for evaluating teaching quality is proposed to address the issues of poor generalization ability and low prediction accuracy caused by the insufficient ...
WANG Wenjing, FAN Tao, WANG Guozhong, ZHAO Haiwu
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

MMLF: Multi-modal Multi-class Late Fusion for Object Detection with Uncertainty Estimation [PDF]

Autonomous driving necessitates advanced object detection techniques that integrate information from multiple modalities to overcome the limitations associated with single-modal approaches.
Yang, Qihang, Cheng, Hong, Zhao, Yang
core   +1 more source

Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management

, 2023
The misinformation detection systems are increasingly important in E-commerce management, which detect misinformation on the commodity display page. Misinformation in E-commerce is usually presented as a mismatch between multi-modal information, the ...
Zhao Li, Li, Zhenpeng, Yifan He, Zhang, Ji, Zhenpeng Li, Li, Zhao, He, Yifan, Ting Yu, Shuigeng Zhou, Zhou, Shuigeng, Ji Zhang, Yu, Ting   +11 more
core   +1 more source