IEEE

A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) have been extensively studied for hyperspectral image classification (HSIC). However, CNNs are critically attributed to a large number of labeled ...
IEEE

Nanobot-Assisted Pollination for Sustainable Agriculture: A Review of Image Classification and Deep Learning Techniques With YOLO, SLAM, and MATLAB

Abstract: The global decrease in native pollinators poses a substantial challenge to agricultural production and food security, particularly in malnutrition prone countries. There is a huge potential ...
C&EN

Coal Classification Based on Reflection Spectroscopy and the IAT-TELM Algorithm

School of Information Science and Engineering, Northeastern University, Shenyang 110819, China Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Northeastern ...
Scientific Research Publishing

Deep Learning-Based Multi-Class Classification of Retinal Diseases from OCT Images Using Transfer Learning ()

1 Amazon Web Services, Seattle, USA. 2 Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India. Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for ...
EDN

Applying AI to RF design

Human inventions, namely engineered systems, have relied on fundamental discoveries in physics and mathematics, e.g., Maxwell’s equations, Quantum mechanics, Information theory, etc., thereby applying ...
The Lancet

Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study

fDepartment of Nephrology and Immunology, RWTH Aachen University Hospital, Aachen, Germany gDepartment of Medicine III, RWTH Aachen University Hospital, Aachen, Germany hDepartment of Pathology, ...
PNAS

Temperature dependence of parasitoid infection and abundance of a diatom revealed by automated imaging and classification

Diatoms are unicellular algae whose “blooms” are associated with high primary productivity, prolific fisheries, and carbon flux to the deep ocean. Despite its potential impact on marine food webs, ...
Frontiers

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM

The constantly evolving human–machine interaction and advancement in sociotechnical systems have made it essential to analyze vital human factors such as mental workload, vigilance, fatigue, and ...