AI.cc Now Supports 500+ Hugging Face Open-Source Models via Unified API

SINGAPORE, SINGAPORE, SINGAPORE, July 3, 2026 /EINPresswire.com/ -- PRESS RELEASE FOR IMMEDIATE RELEASE Date: May 30, ...
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, ...
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 ...
Frontiers

KD_ConvNeXt: knowledge distillation-based image classification of lung tumor surgical specimen sections

Introduction: Lung cancer is currently among the most prevalent and lethal cancers in the world in terms of incidence and fatality rates. In clinical practice, identifying the specific subtypes of ...