Results 71 to 80 of about 81,056 (264)

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

Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias, Federica Avantaggiato, Gianni Pezzoli, Andrea Canessa   +3 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

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

Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering

Scientific Reports
In the rapidly growing Internet of Things (IoT) landscape, federated learning (FL) plays a crucial role in enhancing the performance of heterogeneous edge computing environments due to its scalability, robustness, and low energy consumption. However, one
Fahad Razaque Mughal, Jingsha He, Bhagwan Das, Fayaz Ali Dharejo, Nafei Zhu, Surbhi Bhatia Khan, Saeed Alzahrani   +6 more
doaj   +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

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

Intelligent Telemedicine Systems for Contactless Heart Rate Estimation using Deep Learning-based rPPG

Journal of Informatics and Web Engineering
Over the last ten years, telemedicine has undergone significant developments, from simple communication-based healthcare to smart and data-driven solutions.
Do Duc Thinh, Nguyen Duc Manh, Nguyen Thi Bich Ngoc, Vu Van Huan   +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

Implementation of Zero-Shot Learning on Edge AI for Deterministic Interpretation of Electrical Metrics using Quantized Large Language Models

Sistemasi: Jurnal Sistem Informasi
Automatic interpretation of building electrical metric data is essential for assessing the reliability and suitability of electrical systems. The emergence of Large Language Models (LLMs) has created new opportunities to automate the inspection and ...
Salman Al Majali, Ganjar M Faisal, Novi Rukhviayanti   +2 more
doaj   +1 more source