Results 81 to 90 of about 2,114,184 (246)

Recent Trends in Edge AI: Efficient Design, Training and Deployment of Machine Learning Models

With a rising demand for ubiquitous smart systems, processing and interpreting large quantities of data generated on the edge at a high velocity is becoming an increasingly important challenge.
Deutel, Mark, Mallah, Maen, Scheele, Stephan, Wißing, Julio Emmanuel Diem, Wissing, Julio   +4 more
core   +1 more source

Recent insights into the molecular mechanism of ubiquinol oxidation by cytochrome bc1

FEBS Open Bio, EarlyView.
The review reflects on the mechanism of the catalytic reaction in cytochrome bc1: the electron bifurcation that involves the separation of two electrons derived from the quinol oxidation to opposite sides of the enzyme across the membrane. This review summarizes the long‐standing effort to understand the mechanism of quinol oxidation catalyzed by ...
Anna Wójcik‐Augustyn, Artur Osyczka, Marcin Sarewicz   +2 more
wiley   +1 more source

Enhancing minority class recognition in cattle monitoring: A robustness analysis of lightweight decision-level fusion

IJAIN (International Journal of Advances in Intelligent Informatics)
Accelerometer-based monitoring has become an important approach in precision livestock farming, but achieving both high sensitivity for rare, health-relevant behaviors and computational efficiency remains challenging.
Putri Nayla Sabri, Nisrina Nurhafizhah, Amrul Faruq, Achmad Fauzan Hery Soegiharto, Muhammad Ilham Perdana   +4 more
doaj   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

FEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page, Rachel J. Hunt, Lauren J. Albee, Daniel Berwick, Alison Snape   +4 more
wiley   +1 more source

Anomaly Detection in Industrial Motors using An Artificial Intelligence-Enabled Low Power Portable Device

ES General
The increasing adoption of Industry 4.0 has emphasized the need for intelligent predictive maintenance solutions to prevent industrial motor failures. This study presents a low power, edge-based anomaly detection system deployed on an Arduino Nano RP2040
Arunya Paul, Arpita Srivastava, Navya Verma, Areeb Iqbal, Subir Kumar Maity, Himadri Sekhar Das   +5 more
doaj   +1 more source

Kumaş Hata Tespiti ve Konveyör Kontrolüne Yönelik YOLOv8n Tabanlı Bir Edge AI Sistemi

Alpha Journal of Engineering and Applied Sciences
Tekstil üretiminde kumaş yüzeyinde oluşan kusurlar, ürün kalitesini düşürmekte ve üretim maliyetlerini artırmaktadır. İnsan gözlemine dayalı geleneksel kalite kontrol yöntemlerinin hız ve tutarlılık açısından sınırlı olması nedeniyle bu çalışmada, kumaş ...
Mustafa Karhan, Mahmoud Shahada, Gina Mutlak, Yasin İçel   +3 more
doaj   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source

Exploring GPU sharing techniques for edge AI smart city applications

ETRI Journal
The growing adoption of edge AI in smart city applications such as trafficmanagement, surveillance, and environmental monitoring necessitates effi-cient computational strategies to satisfy the requirements for low latency andhigh accuracy.
Sooyeon Woo, Jihwan Yeo, Jinhong Kim, Kyungwoon Lee   +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