Results 251 to 260 of about 683,409 (316)
Advanced Intelligent Systems, EarlyView.A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source
An enhanced deep learning framework for intrusion classification enterprise network using multi-branch CNN-attention architecture. [PDF]
Sci RepBiyouki A, Lotfipour S, Haghi B.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
Integrating a Convolutional Neural Network and MultiHead Attention with Long Short-Term Memory for Real-Time Control During Drying: A Case Study of Yuba (<i>Tofu Skin</i>). [PDF]
FoodsGuo J +7 more
europepmc +1 more source
Deep Learning-Based Detection of Lumpy Skin Disease in Livestock using CNNs
Walid Abdullah +2 more
openalex +2 more sources
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
Advanced Intelligent Systems, EarlyView.This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Deep Learning Enhances Weightbearing CT Detection of Lisfranc Instability: A FIXUS-AI Ankle Insight 3D Algorithm. [PDF]
CureusAshkani-Esfahani S +8 more
europepmc +1 more source
BrainNet: CNN-Powered Diagnosis to Detect and Classify Brain Tumor from MRI Imaging Technique
Riddhi Ghosh +3 more
openalex +1 more source
Advanced Intelligent Systems, EarlyView.A 3D holotomography system coupled with a deep learning model distinguishes how cells die—apoptosis, necroptosis or necrosis—without any fluorescent labels. Training on refractive index maps of HeLa cells yields 97% accuracy and flags necroptosis hours before chemical dyes.
Minwook Kim +8 more
wiley +1 more source