Results 141 to 150 of about 176,464,163 (313)
Beyond depression symptoms: the default mode network as a predictor of antidepressant response
Antidepressant efficacy for major depressive disorder (MDD) remains limited, with the neural mechanisms underlying treatment response poorly understood.
Kaizhong Zheng +5 more
doaj +1 more source
An artificial intelligence approach to smart exam supervision using YOLOv5 and siamese network [PDF]
Artificial intelligence has introduced revolutionary and innovative solutions to many complex problems by automating processes or tasks that used to require human power.
Alkharabsheh, Khalid +2 more
core +2 more sources
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic +2 more
wiley +1 more source
Establishment of amachine learning-based precision recruitment method at the county level
[Objective] To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability.
FU Xiaoyan +9 more
doaj +1 more source
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan +4 more
wiley +1 more source
On the Range of Applicability of an Artificial Intelligence Machine
As the focus of artificial intelligence (AI) research begins to move from small-scale “toy” problems to larger-scale “real world” applications, issues of computational efficiency have begun to attract growing attention. The ambitious performance goals of the Fifth Generation project in Japan, for example, and of the Strategic Computing program in the ...
openaire +1 more source
Applications of AI in Business, Industry, Government, Healthcare and Environment [PDF]
The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial ...
Institute of Electrical and Electronics Engineers Maine COM/CS Chapter +1 more
core
Impact of Hydrogen Incorporation on Electronic and Magnetic Structure of X2CrNi18‐9 Stainless Steel
Hydrogen uptake in austenitic stainless steel alters both its electronic and magnetic structure. Seebeck measurements reveal hydrogen‐induced shifts in the electronic density of states, while neutron scattering uncovers nanoscale inhomogeneities that grow upon hydrogen incorporation, with the most pronounced effect observed in the PBF as‐built state ...
Torben Tappe +9 more
wiley +1 more source
The present work reports the microstructural, mechanical, and texture evolution of a dissimilar combination laser‐welded maraging steel with 4340 steel. This is important for aerospace applications. The demand for dissimilar welding is growing rapidly with the requirement of efficient and durable joints.
Bharat Behl +3 more
wiley +1 more source

