Results 91 to 100 of about 297,353 (266)

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Preface

Information Processing in Agriculture, 2014
Daoliang Li, Prof. Director of China-EU Center for Information & Communication Technologies in Agriculture (CICTA), China Agricultural University and Chair of WG5.14, IFIP TC5
doaj   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

A comparative acoustic analysis of non-verbal vocalisations in film dubbing

East European Journal of Psycholinguistics
This study explores the translation of non-verbal vocalisations in dubbing and examines their role in maintaining the authenticity and emotional depth of audiovisual performance.
Artur Gudmanian, Iryna Struk, Halyna Yencheva, Alla Sitko   +3 more
doaj   +1 more source

Adaptive Observer for Coupled Wave PDE and Infinite ODE With Sampled Data and Unknown Input: Application to Brain Hemodynamics Estimation

International Journal of Adaptive Control and Signal Processing, EarlyView.
This article proposes a convergent adaptive observer for a damped wave PDE and an infinite‐dimensional ODE coupled in cascade using sampled‐in‐space ODE state measurements. The proposed observer estimates the distributed states of the PDE and ODE along with unknown PDE parameters and spatial input.
Zehor Belkhatir, Sarah Mechhoud, Taous‐Meriem Laleg‐Kirati   +2 more
wiley   +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

Bidirectional high-speed optical wireless communication with tunable large field of view assisted by liquid crystal metadevice

Nanophotonics
Beam-steered infrared (IR) light communication has gained tremendous attention as one of the solutions of congested wireless communication traffic.
Wu Mian, Yang Chao, Gong Yuhan, Wu Lin, Luo Ming, Qiu Ying, Zeng Yongquan, Li Zile, Liu Zichen, Li Chao, Li Hanbing, Xiao Xi, He Zhixue, Zheng Guoxing, Yu Shaohua, Tao Jin   +15 more
doaj   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Probabilistic and deep learning approaches for conductivity-driven nanocomposite classification

Scientific Reports
To foster greater trust and adoption of machine learning models, particularly neural networks, it is essential to develop approaches that quantify and report epistemic uncertainties alongside random uncertainties, which often affect the accuracy of ...
Wejden Gazehi, Rania Loukil, Mongi Besbes   +2 more
doaj   +1 more source

Special Issue on Bright Information and Communication Technologies in the 21st Century. [PDF]

Inf Syst Front, 2023
Kim DJ, Bose I, Mukhopadhyay A.
europepmc   +1 more source