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Deep Learning Applications | Convolutional Neural Network

This category encompasses a diverse range of studies and applications utilizing convolutional neural networks (CNNs) across various fields such as medical diagnosis, remote sensing, agriculture, and image classification. Key topics include facial recognition accuracy, disease detection in images, sentiment analysis, and advanced deep learning models for complex tasks. Research highlights the effectiveness of CNNs in improving classification accuracy, handling imbalanced data, and developing innovative applications like mobile disease detection tools, while addressing challenges such as early detection and adversarial attacks.

A HYBRID YOLOV5–SSD IOT-BASED ANIMAL DETECTION SYSTEM FOR DURIAN PLANTATION PROTECTION
byijwmn
 
Hybrid Kolmogorov-Arnold and convolutional neural network model for single-lead electrocardiogram classification
byTELKOMNIKA JOURNAL
 
CNN inference acceleration on limited resources FPGA platforms_epilepsy detection case study
byIJICTJOURNAL
 
Artificial intelligence based prediction on lung cancer risk factors using deep learning
byIJICTJOURNAL
 
Analyzing performance of deep learning models under the presence of distortions in identifying plant leaf disease
byIJICTJOURNAL
 
Hybrid convolutional vision transformer for extrusion-based 3D food-printing defect classification
byIAESIJAI
 
Optimizing citrus disease detection: a transferable convolutional neural network model enhanced with the fruitfly optimization algorithm
byIAESIJAI
 
A deep learning-based framework for automatic detection of COVID-19 using chest X-ray and CT-scan images
byIAESIJAI
 
Efficient lung disease classification through luminescent feature selection using firefly algorithm
byIAESIJAI
 
Impact of batch size on stability in novel re-identification model
byIAESIJAI
 
A novel light-weight convolutional neural network for rice leaf disease classification
byIAESIJAI
 
Robust two-stage object detection using YOLOv5 for enhancing tomato leaf disease detection
byIAESIJAI
 
A new deep steganographic technique for hiding several secret images in one cover
byIAESIJAI
 
Deep lung nodule detection using multi-resolution analysis on computed tomography images
byIAESIJAI
 
Improvisation in detection of pomegranate leaf disease using transfer learning techniques
byIAESIJAI
 
Comprehensive survey of automated plant leaf disease identification techniques: advancements, challenges, and future directions
byIAESIJAI
 
Primary phase Alzheimer's disease detection using ensemble learning model
byIAESIJAI
 
Hybrid model detection and classification of lung cancer
byIAESIJAI
 
Optimizing deep learning models from multi-objective perspective via Bayesian optimization
byIAESIJAI
 
Exploring DenseNet architectures with particle swarm optimization: efficient tomato leaf disease detection
byIAESIJAI