Results 141 to 150 of about 82,192 (265)
Snow or rain? hybrid AI deciphers surface precipitation phase from satellite observations. [PDF]
Yang C +8 more
europepmc +1 more source
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults. [PDF]
Tachmazidis I +3 more
europepmc +1 more source
The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis +32 more
wiley +1 more source
Investigation of additively manufactured PEEK spur gears reinforced with graphene and natural fibers using hybrid AI techniques. [PDF]
Palaniappan M +3 more
europepmc +1 more source
This review identifies current and future directions in abiotic nanostructured catalysts to develop reliable and sustainable glucose fuel cells to power the next generation of bioelectronic devices. ABSTRACT The global rise in incidence of chronic diseases has led to the demand for innovative solutions that help patients manage their conditions with ...
Asghar Niyazi +3 more
wiley +1 more source
A hybrid AI approach for predicting academic performance in RBE students. [PDF]
Gonzales W +5 more
europepmc +1 more source
Hybrid AI-assistive diagnostic model permits rapid TBS classification of cervical liquid-based thin-layer cell smears. [PDF]
Zhu X +33 more
europepmc +1 more source
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang +7 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Phishing threat mitigation in E-commerce using a quantum-enhanced hybrid AI framework. [PDF]
Gupta BB +7 more
europepmc +1 more source

