IEEE

Developing a TinyML Image Classifier in an Hour

Abstract: Tiny machine learning technologies are bringing intelligence ever closer to the sensor, thus enabling the key benefits of edge computing (e.g., reduced latency, improved data security, ...
C&EN

Modular Integration of Python Programming in Undergraduate Physical Chemistry Experiments

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...
GitHub

DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification (TIP 2023)

CUDA_VISIBLE_DEVICES=0 python -m torch.distributed.launch --nproc_per_node=1 --nnodes 1 \ --node_rank=0 --master_port=1901 --use_env train_memory.py \ --dataset ...
Scientific Research Publishing

Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning ()

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
IEEE

Document Classification and Data Extraction

Abstract: T- Data classification and extraction are fundamental tasks in the field of computer vision and data analysis. This abstract presents an overview of these concepts along with the utilization ...
GitHub

Tree Species Classification with Deep Learning

Classification is a machine learning model used to predict mutually exclusive categories when there are no continuous values. It does so by using labels to classify data, thus predicting a discrete ...
Scientific Research Publishing

Image Classification Based on Vision Transformer ()

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...