The state of modelling face processing in humans with deep learning
Abstract Deep learning models trained for facial recognition now surpass the highest performing human participants. Recent evidence suggests that they also model some qualitative aspects of face processing in humans. This review compares the current understanding of deep learning models with psychological models of the face processing system ...
P. Jonathon Phillips, David White
wiley +1 more source
Secure blockchain integrated deep learning framework for federated risk-adaptive and privacy-preserving IoT edge intelligence sets. [PDF]
Swathi K +6 more
europepmc +1 more source
ABSTRACT Fifty years after the formation of England's child protection system, the country continues to reel from new instances of high‐profile child death tragedies where children have been harmed despite practitioners complying with the processes and procedures designed to protect them.
Ciarán Murphy, Michael Murphy
wiley +1 more source
Dual-targeted adversarial noise for 3D point cloud classification model. [PDF]
Lee T, Lee S, Kwon H.
europepmc +1 more source
Textile and colour defect detection using deep learning methods
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source
Generative Adversarial Networks for Modeling Bio-Electric Fields in Medicine: A Review of EEG, ECG, EMG, and EOG Applications. [PDF]
Liang J +6 more
europepmc +1 more source
Animal Rights, Moral Motivation, and the Experience of Wonder
ABSTRACT Despite being strong, arguments for animal rights often fail to motivate. One reason for this is that rights are associated with concepts, such as respect, that are difficult to apply to nonhuman animals. These concepts are difficult to apply because they are implicitly grounded in the special status of humans.
Steve Cooke
wiley +1 more source
Calibration-free sEMG intention recognition via self-supervised pretraining and adversarial domain alignment for upper-limb rehabilitation. [PDF]
Yang Y +5 more
europepmc +1 more source
Adversarial Attacks in Cybersecurity: A Machine Learning Perspective
Fatima Rilwan Ododo, Rehan Sadiq
openalex +2 more sources
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source

