Results 91 to 100 of about 27,342,342 (247)
Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns
Arthritis Care &Research, EarlyView.Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki +6 more
wiley +1 more source
Representation Learning and Nature Encoded Fusion for Heterogeneous Sensor Networks
IEEE Access, 2019 Target detection based on heterogeneous sensor networks is considered in this paper. Fusion problem is investigated to fully take advantage of the information of multi-modal data.
Longwei Wang, Qilian Liang
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 +3 more
wiley +1 more source
Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging
SensorsThis narrative critical review addresses class imbalance in medical imaging, particularly within the context of multi-sensor and multi-modal environments, poses a critical challenge to developing reliable AI diagnostic systems.
Da Zhou, Song Gao, Xinrui Huang
doaj +1 more source
Sensor Data Fusion Framework for Improvement of Temperature Sensor Characteristics
Measurement + Control, 2016 This paper presents a multi-sensor data fusion model for measurement of temperature. The proposed paper puts forward an objective to develop a temperature measuring instrument (a) having improved performance characteristics like sensitivity and linearity
Santhosh KV, Karel De Smet
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
An information-theoretic approach to data fusion and sensor management [PDF]
, 1993 The use of multi-sensor systems entails a Data Fusion and Sensor Management requirement in order to optimize the use of resources and allow the synergistic operation of sensors.
Manyika, James Munyaradzi, Manyika, J.
core +1 more source
IEEE AccessMulti-sensor data has become a foundation of Earth Observation (EO) research, offering models with enhanced accuracy via optimal fusion strategies.
Francisco Mena +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System. [PDF]
Sensors (Basel), 2023 Zhou H +5 more
europepmc +1 more source