Cibaca continues to explore image classification and deep learning from a research-first perspective. Her ongoing work ...

These days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are ...

The performance of deep convolution neural networks will be further enhanced with the expansion of the training data set. For the image classification tasks, it is necessary to expand the insufficient ...

Cutting through complexity for smarter enterprise AI adoptionIssued by icomm for Datacentrix HoldingsJohannesburg, 08 Jul 2025Visit our press officeEnterprise AI adoption. (Image: Datacentrix) When it ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

A practical roadmap for integrating Generative AI into SAP Finance—bridging structure with intelligent innovation. NEW DELHI, ...

Objective: Construct and evaluate a CNN to categorize 60,000 32×32 color images into 10 semantic classes. Dataset: CIFAR-10 (50,000 training images; 10,000 test images) across classes: airplane, ...

🚀 Boost Your Image Classifier with DCGAN-Based Data Augmentation Enhance your image classification model on the Oxford Flowers 102 dataset using a DCGAN to generate realistic synthetic flower images.

A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...

Claude, LLaMA, and Grok has intensified concerns around model alignment, toxicity, and data privacy. While many commercial ...