IEEE

Performance Enhancement of Human Activity Recognition Using Millimeter-Wave Multi-Link Channels

Abstract: Human activity recognition (HAR) using millimeter-wave (mmWave) radar has gained attention as a contactless and privacy-preserving sensing method that remains effective under low lighting ...
IEEE

Production of Special Effects for Film and Television Using Modern Technology: A Statistical Machine Learning Perspective an Improved CNN Compared with Random Forest Classifier ...

Abstract: The goal of the project is to use modern technology to produce special effects for film and television. A Viewpoint on Statistical Machine Learning for an Enhanced CNN In contrast to the ...
IEEE

Leveraging Hybrid CNN Architecture for Accurate Detection of Lung Diseases

Abstract: Deep learning has transformed the analysis of medical images and has provided a potential solution to the problem of accurate and efficient diagnosis of disease. This model develops a hybrid ...
IEEE

EmotiveNet: Advancing Facial Expression Recognition with CNN-Random Forest Integration

Abstract: This research paper examines the performance of a hybrid machine learning model combining Convolutional Neural Networks (CNNs) and Random Forest classifiers for classifying 10 distinct ...
IEEE

Synthetic Degradation of Blood Cell Images for Acute Myeloid Leukemia Classification

Abstract: Degradation study of blood cell images, specifically for Acute Myeloid Leukemia (AML) classification, entails determining how image quality concerns affect the accuracy of automated systems.
IEEE

Underwater Marine Debris Detection: A Lightweight CNN-Based Binary Classifier

Abstract: Marine debris poses a significant threat to aquatic ecosystems, with underwater garbage detection emerging as a critical challenge for environmental protection. This paper presents a ...
IEEE

Multilevel CNN Based Hybrid Framework for Adaptive Credit Card Fraud Detection

Abstract: Credit card fraud presents a substantial problem to financial organizations, as fast changing fraudulent activities necessitate advanced detection techniques. Conventional machine learning ...
IEEE

A Facial Deepfake Detection Approach using CNN-based Models, Swin Transformer and Classifier Fusion

Abstract: Facial deepfake detection focuses on identifying manipulated images and videos generated by deep learning methods such as Generative Adversarial Networks (GANs) and autoencoders. Detection ...