Results 231 to 240 of about 9,482,218 (334)
ABSTRACT Drug–Drug Interaction (DDI) prediction is critical for ensuring patient safety, particularly under long‐tailed distributions, where frequent (head) interactions dominate whereas rare (tail) interactions remain underrepresented. Conventional loss functions such as cross‐entropy often tend to overfit head classes while they underperform on rare ...
Chao Liu +3 more
wiley +1 more source
Neural Network Enabled Real-Time Plasma Imaging for Inverse Designed Fabrication of Micro/Nano Structures with Ultrafast Laser. [PDF]
Han R +6 more
europepmc +1 more source
ABSTRACT Brain tumour classification is a critical task in medical imaging that requires accurate and interpretable solutions to assist in clinical decision‐making. In this paper, we present GraphConvNet‐X, a novel hybrid model that integrates convolutional neural networks (CNNs) for spatial feature extraction with graph neural networks (GNNs) that ...
Sultanul Arifeen Hamim +4 more
wiley +1 more source
A generalized logistic-logit function and its application to multi-layer perceptron and neuron segmentation. [PDF]
Gu W +3 more
europepmc +1 more source
ABSTRACT Continuous authentication (CA) systems based on behavioural biometrics are increasingly deployed in zero‐trust architectures, yet their performance degrades over time due to natural behavioural drift arising from device changes, fatigue and evolving habits.
Ahmed Alzahrani
wiley +1 more source
Deep learning for nanoscience scanning electron microscope image classification. [PDF]
Sayed N +4 more
europepmc +1 more source
ABSTRACT Fatty liver disease (FLD) is a prevalent chronic condition that can progress to clinically significant liver injury if left untreated. Given its high prevalence, FLD poses a substantial public health burden. Traditional Chinese medicine suggests that the appearance of tongue reflects hepatic and metabolic status, enabling artificial ...
Tao Chen +6 more
wiley +1 more source
A Hybrid Deep Learning Approach for Performance Prediction in Optical Communication Systems Based on PON Scenarios. [PDF]
Muslim A +3 more
europepmc +1 more source
ABSTRACT This study investigates early detection of heart diseases using a new Enhanced Fuzzy Min‐Max (EFMM) neural network. Two key modifications are introduced: a refined EFMM contraction procedure during the learning phase to reduce data distortion and information loss, and a new weighted validation method to optimise hyperbox selection and improve ...
Mohammed Falah Mohammed +3 more
wiley +1 more source
Human Gait Recognition using Neural Network Multi-Layer Perceptron
openaire +1 more source

