Google Brain founder Andrew Ng thinks you should still learn to code - here's why

ZDNET's key takeaways AI Dev, DeepLearning.ai's AI conference, made its NYC debut. We sat down with Andrew Ng at the event to ...
Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
IEEE

Vision Transformer for Diabetic Retinopathy Diagnosis: A Deep Learning Approach Beyond CNN

Abstract: Automated retinal disease detection, particularly in Diabetic Retinopathy (DR) classification, has received significant attention. While Convolutional Neural Networks (CNNs) have been the ...
IEEE

Deep Learning-Based Fault Diagnosis in Quadcopter Actuators: A CNN-LSTM Network with Bayesian Optimization

Abstract: In recent years, deep neural networks have shown promising results in modern fault diagnosis. This paper focuses on diagnosing actuator faults in quadcopters using a deep learning strategy.
IEEE

Faster R-CNN vs SSD: A Deep Learning Approach for Nodule Detection in Lung Cancer Diagnosis

Abstract: Deep learning-based object identification technology has numerous uses, including facial recognition, commercial analytics, and medical imaging analysis. An object detector has a backbone ...
IEEE

Deep Learning Driven X-ray Classification for Pneumonia Detection Using CNN

Abstract: Major deaths (55% or 1.5 million) of LRI (Lower Respiratory Infections) are caused due to Pneumococcal pneumonia. LRI is the 5th highest cause of demise as mentioned by the Global Burden of ...

Web3 Is Coming For Jobs: How Automation, Blockchain Can Upend India’s Workforce, What Can Be Done

The question is not only which jobs will vanish, but who replaces them, how firms, states manage the transition, whether the ...
IEEE

Optimized CNN Architecture based on Mutant Particle Swarm Optimization and Opposition Based Learning for Image Classification

Abstract: Recent improvements in Convolution Neural Networks (CNN) have demonstrated extraordinary performance in solving real-world problems. However, the performance of CNN depends purely on its ...
IEEE

Visualizing Crop Disease Detection Exploring Deep Learning with Custom CNN Model and XAI for Enhanced Interpretability

Abstract: Accurately detecting plant diseases is essential for safeguarding food security and promoting agricultural sustainability. This study presents an advanced deep learning approach using ...
IEEE

Strategic and Sustainable ERP Decision Framework: Integrating Multi-Criteria Analysis with Deep-A-CNN-LSTM Models in Corporate Strategy

Abstract: Customizing enterprise resource planning (ERP) software to meet a company's unique operational requirements is a crucial consideration throughout implementation. It offers a framework in ...
IEEE

YOLO-Air: An Efficient Deep Learning Network for Small Object Detection in Drone-Based Imagery

Abstract: UAV imagery is widely used in areas like traffic safety, disaster rescue, and airspace management, due to its small size and low cost. However, it poses unique challenges for object ...