Results 91 to 100 of about 2,114,184 (246)

Feasibility Study of Edge Computing Empowered by Artificial Intelligence—A Quantitative Analysis Based on Large Models

Big Data and Cognitive Computing
The advancement of artificial intelligence (AI) demands significant data and computational resources that have an adverse impact on the environment. To address this issue, a novel computing architecture that is both energy efficient and eco-friendly is ...
Yan Chen, Chaonan Wu, Runqi Sui, Jingjia Zhang   +3 more
doaj   +1 more source

Discordance Between Systemic Lupus Erythematosus Disease Activity Index Domain Weights and Their Association With Organ Damage Accrual

Arthritis Care &Research, EarlyView.
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1–8) assigned to each domain.
Kevin Zhang, Eric F. Morand, Sarah E. Boyd, François Petitjean, Alberta Hoi, Rachel Koelmeyer, Iolanda Miceli, Julie A. Monk, Hieu T. Nim   +8 more
wiley   +1 more source

A review of progresses in low-power artificial intelligence computing systems

Gongneng cailiao yu qijian xuebao
Recently, with the rapid growth of big data and hardware capabilities, artificial intelligence (AI) has achieved significant development. Artificial neural networks (ANNs) have been successfully applied to solve numerous problems in academia and industry.
Hua CHEN, Yiming QU, Wenhao WU, Yi ZHAO
doaj   +1 more source

AI in Energy [PDF]

The rapid integration of Artificial Intelligence (AI), 5G, and upcoming 6G technologies into the energy sector signifies a transformative and long-term transitional shift towards a more sustainable and efficient future enabled by myriads of digital ...
Vermesan, Ovidiu, Funk, Hannah, Al-Naday, Mays, Cerny, Ondrej, Atmojo, Udayanto Dwi, Svenn, Flemming, Krukowski, Artur, Gusmeroli, Sergio, Karagiannis, Vasileios, Hamzeh Aghdam, Farid, Filipovic, Damir, Hovsto, Asbjorn, Zavodovski, Aleksandr, Gebremehdin, Alemayehu, Matta, Andrea, Frigerio, Nicla, Silva, Fabio, Rasti, Mehdi, Samovich, Natalie, Mukherjee, Avishek, Soldatos, Ioannis, Frascolla, Valerio, Cornec, Léo, Pongracz, Eva, Kung, Antonio, Zachäus, Carolin, Etminan, Ghazal   +26 more
core  

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

AI-Based Model for Home Waste Separation Using Raspberry Pi 5 AI Kit

Фізика і хімія твердого тіла
Effective domestic waste separation is also very critical to enhancing recycling and minimizing environmental pollution. Manual sorting, however, is labor-intensive, prone to errors and not practical to be widely adopted.
H. A. Mutar, I. R. N. ALRubeei, I. V. Svyd, Haider TH. Salim ALRikabi, Abdul Hadi M. Alaidi   +4 more
doaj   +1 more source

Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns

Arthritis Care &Research, Accepted Article.
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen, Yasuo Nagafuchi, Kristina Lend, Seyam Alemyar, Herman Kasper Glas, Gerdur Gröndal, Bjorn Gudbjornsson, Espen A. Haavardsholm, Kim Hørslev Petersen, Jon Lampa, Merete Lund Hetland, Dan Nordström, Mike Nurmohamed, Mikkel Østergaard, Anna Rudin, Marte Schrumpf Heiberg, Tuulikki Sokka‐Isler, Till Uhlig, Josien Veris‐van Dieren, Ronald van Vollenhoven, Tom Huizinga, Marcel JT Reinders, Sytske Anne Bergstra, Erik van den Akker, Rachel Knevel   +24 more
wiley   +1 more source

AIRIS: A Real-Time Face and Object Detection System for Threat Monitoring

Technical Transactions
This study presents AIRIS (Advanced Intelligent Recognition & Interception System), a real-time personal security monitoring platform integrating computer vision and artificial intelligence for mobile threat detection.
Urbaniak Ilona Anna, Kosek Wiktoria Maria, Kowalska Alicja Maria   +2 more
doaj   +1 more source

Operation analysis and parameter optimization of the conveying device for uniform crushed straw throwing and seed-sowing machines

Nano Research
Vision systems in vertebrates have evolved energy-efficient and adaptable features in hyperpolarizing photoreceptors that machine vision struggles to mimic.
Jiayi Li, Yuxi Guo, Xin Ju, Diing Shenp Ang   +3 more
doaj   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source