The Tech Edvocate

“Bloom’s Taxonomy in the Digital Age: Integrating Technology with Higher-Order Thinking Skills”

Spread the love“`html The education landscape is constantly evolving, and as technology becomes an intrinsic part of our daily lives, its integration into the classroom has never been more essential.
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
IEEE

Multi-Class Brain Lesion Classification Using Deep Transfer Learning With MobileNetV3

Abstract: Diagnosing brain tumors is challenging for radiologists because of the significant similarities between the tumor types. Deep learning models lack sufficient data to effectively learn the ...
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 ...
GitHub

ESC-50: Dataset for Environmental Sound Classification

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...
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 ...
Frontiers

Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...
Frontiers

Automatic classification of ligneous leaf diseases via hierarchical vision transformer and transfer learning

Identification of leaf diseases plays an important role in the growing process of different types of plants. Current studies focusing on the detection and categorization of leaf diseases have achieved ...
Crime Online

Zone 7 with Sheryl McCollum

Work a cold case alongside investigator Sheryl “Mac” McCollum, Director of the Cold Case Investigative Research Institute. Every week, Sheryl dives into her cold case files alongside accomplished ...
IEEE

Brain MR Image Classification Using Superpixel-Based Deep Transfer Learning

Abstract: Nowadays, brain MR (Magnetic Resonance) images are widely used by clinicians to examine the brain's anatomy to look into various pathological conditions like cerebrovascular incidents and ...
GitHub

Semantic Segmentation Suite in TensorFlow

This repository serves as a Semantic Segmentation Suite. The goal is to easily be able to implement, train, and test new Semantic Segmentation models! Complete with the following: Encoder-Decoder ...