IEEE

Deep Learning-Driven Diagnosis of Polycystic Ovary Syndrome (PCOS): A High-Accuracy CNN-Based Approach

Abstract: Women of reproductive age are frequently affected by PCOS, a common endocrine condition that frequently results in infertility and metabolic issues. This work uses a dataset of 44 clinical ...
IEEE

Hybrid Deep Learning for Intrusion Detection in IIoT Networks: A CNN-LSTM-Attention Approach

Abstract: The Industrial Internet of Things (IIoT) provides an interconnected outline of devices and connected systems to the industrial and building sectors in order to accelerate operational ...
IEEE

Wireless Body Sensor Based Cardiotocography for Fetal Assessment Using Hybrid 1D-CNN-LSTM Deep Learning Approach

Abstract: This study proposes a wireless body-sensor CTG system that embeds a lightweight one-dimensional convolutional neural network-long short-term memory (ID-CNN-LSTM) model for automatic binary ...
IEEE

A CNN and Deep Learning-based Smart Satellite Surveillance System for Wildfire Detection and Wildlife Damage Assessment

Abstract: Wildfires are a growing concern due to their catastrophic impacts on the environment, ecosystem services, biodiversity, and human settlements. Different fire detection systems face ...
IEEE

CNN-Based Deep Learning Framework for Multi-Class Rice Leaf Disease Detection and Classification

Abstract: Being a major contributor to rice production worldwide, rice leaf diseases need to be detected early and correctly to achieve maximum output and reduce losses. Processes based on deep ...
IEEE

Hybrid CNN-LSTM Model for Accurate Time Series Forecasting: A Deep Learning Approach

Abstract: Time series data analysis is essential in a variety of fields, such as finance, meteorology, and healthcare. Traditional methods often struggle to capture the complex temporal correlations ...
IEEE

SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation

Abstract: Channel estimation is crucial in 5G communication networks for optimizing transmission parameters and ensuring reliable, high-speed communication. However, the use of multiple-input and ...
IEEE

Transforming Precision Agriculture through Deep Learning: CNN Encoder-Decoders and a Hybrid YOLOv8-SAM Solution for Advanced Grape Cluster Segmentation

Abstract: Accurate grape cluster segmentation is crucial for developing automated vineyard harvesting systems and precision agriculture applications. This paper presents a novel hybrid approach ...
IEEE

Voice Spoofing Detection Based on the RVC Deep Learning CNN Model

Abstract: Advancements in artificial intelligence (AI) influence the security of voice-based authentication systems using techniques of deep learning. Deepfake voices, such as the Recursive Voice ...