Delhi Technological University, TimesPro announce the inaugural Advanced Certificate Program in Artificial Intelligence

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
IEEE

Indoor Positioning Deep Learning Network based on CNN-GAN for High-precision Bluetooth

Abstract: In recent years, Bluetooth Low Energy (BLE) positioning technology has garnered significant attention from researchers in the field of indoor localization. This study leverages IQ signal ...
IEEE

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
Distractify on MSN

The journalist is a machine: Lior Alexander and the end of the newsroom

Lior Alexander is the CEO of AlphaSignal. The platform has over a quarter of a million subscribers and generates 200 million ...
IEEE

RAP-CNN: A Deep Learning Framework for Mangrove Aboveground Biomass Estimation Using Multi-Source Remote Sensing Data

Abstract: As a typical blue carbon ecosystem, mangroves play a vital role in the global carbon cycle and coastal ecological security. Accurately estimating their aboveground biomass (AGB) is crucial ...
IEEE

Ship Trajectory Classification using CNN-Based Deep Learning Method: A Detailed Analysis

Abstract: Trajectory classification is a well-known class of problems in movement data analysis. The technical advancement in GPS enabled devices and autonomous systems has made it possible to collect ...
IEEE

A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration

Abstract: In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting.
IEEE

Deep Learning in Dermatology: An Empirical Analysis of CNN Architectures and Diagnostic Accuracy

Abstract: Skin cancer is exceedingly prevalent globally and melanoma and non-melanoma are significant reasons for morbidity and mortality. A brief delay in discovering breast cancer puts it at higher ...