IEEE

Enhancing Early Detection of Maize Leaf Diseases: A Deep Learning Framework using SqueezeNet for Rapid Diagnosis

Abstract: Maize is a staple crop in India and a vital component of the agricultural economy, supporting both food consumption and numerous derived products. However, plant disease infestations pose a ...
IEEE

Lung Disease Detection Using CNNs and Transfer Learning on Medical Imaging

Abstract: Lung disease are some of life's most prevalent lung illnesses, which significantly affect morbidity and mortality. The main reason to diagnose these diseases is to ensure early intervention ...
IEEE

CMNet: A CNN–Mamba Network for Change Detection With Similarity Orientation and Difference Perception

Abstract: Change detection (CD) is a hot research topic in the field of remote sensing (RS), and using convolutional neural networks (CNNs) and Transformers for CD tasks is the mainstream option ...
Analytics Insight

AI-Powered Pest and Disease Detection in Farming

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...
IEEE

A Comprehensive Survey on Heart Disease Detection Using Deep Learning and Benchmark Datasets

Abstract: Heart diseases are increasing and have become a serious health problem. There are different types of heart diseases, and each type has several factors that affect the heart. For this, early ...
IEEE

Secure Digital Twin-Driven Transformer-CNN Hybrid With CBAM Attention for UAV Surveillance and Real-Time Leaf Disease Detection

Abstract: Cotton is a crop of immense global economic importance, yet its productivity is severely threatened by leaf diseases such as curl virus, blight, powdery mildew, and target spot, which can ...
IEEE

Analysis of Freezing of Gait in Parkinson’s Disease Detection Using a Multimodal Prototype Learning Framework

Abstract: Patients with severe Parkinson’s disease (PD) frequently have freezing of gait (FOG), a gait disability. By anticipating FOG before it occurs, pre-emptive cueing can either prevent FOG or ...
IEEE

Research on ice thickness prediction of power transmission lines based on SO-CNN-LSTM algorithm

One of the fundamental requirements for the operation of power systems is safety and stability. However, in recent years, natural disasters such as rain, snow, and freezing weather have posed a ...
IEEE

Smart Detection of Rice Leaf Disease using Deep Learning Models

Abstract: The worldwide consumption of food depends heavily on rice which serves as one of the essential crops required to sustain people worldwide. The agricultural production of rice faces ...
IEEE

Depthwise Convolution with Winograd Algorithm for Efficient CNN Acceleration

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...
IEEE

Parkinson's Disease Detection using Machine Learning on DaTScan Image

Abstract: Parkinson's disease is a chronic, progressive neurodegenerative disorder caused by the gradual damage of dopamine-producing neurons in the substantia nigra. It poses certain burdens on ...
IEEE

Vitamin Deficiency Detection Using CNN-Based Image Analysis of Skin, Tongue and Nails

Abstract: Vitamin deficiency is a widespread global health issue that affects millions, often leading to severe physiological and dermatological complications. Early detection is essential for timely ...