Recent advancements in fruit detection and classification using deep learning techniques
CC Ukwuoma, Q Zhiguang… - Mathematical …, 2022 - Wiley Online Library
Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …
diagnose skin cancer has always been cumbersome. This manual examination of skin …
An automatic plant leaf disease identification using DenseNet-121 architecture with a mutation-based henry gas solubility optimization algorithm
S Nandhini, K Ashokkumar - Neural Computing and Applications, 2022 - Springer
Farmers are struggling to provide the fast-growing population with sufficient agricultural
products, while plant diseases result in devastating food loss. The billions of dollars spent by …
products, while plant diseases result in devastating food loss. The billions of dollars spent by …
[HTML][HTML] Machine learning approaches in Brillouin distributed fiber optic sensors
C Karapanagiotis, K Krebber - Sensors, 2023 - mdpi.com
This paper presents reported machine learning approaches in the field of Brillouin
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …
Simplified swarm optimization for hyperparameters of convolutional neural networks
Convolutional neural networks (CNNs) are widely used in image recognition. Numerous
CNN models, such as LeNet, AlexNet, VGG, ResNet, and GoogLeNet, have been developed …
CNN models, such as LeNet, AlexNet, VGG, ResNet, and GoogLeNet, have been developed …
[HTML][HTML] The whale optimization algorithm approach for deep neural networks
One of the biggest challenge in the field of deep learning is the parameter selection and
optimization process. In recent years different algorithms have been proposed including bio …
optimization process. In recent years different algorithms have been proposed including bio …
[HTML][HTML] Intelligent fault diagnosis of rotary machinery by convolutional neural network with automatic hyper-parameters tuning using bayesian optimization
Intelligent fault diagnosis can be related to applications of machine learning theories to
machine fault diagnosis. Although there is a large number of successful examples, there is a …
machine fault diagnosis. Although there is a large number of successful examples, there is a …
An improved breast cancer disease prediction system using ML and PCA
Computer-aided diagnosis (CAD) systems based on machine learning (ML) techniques
have altered the field of medical research. The deployement of such models to classify …
have altered the field of medical research. The deployement of such models to classify …
[HTML][HTML] COVID-19 detection systems using deep-learning algorithms based on speech and image data
The global epidemic caused by COVID-19 has had a severe impact on the health of human
beings. The virus has wreaked havoc throughout the world since its declaration as a …
beings. The virus has wreaked havoc throughout the world since its declaration as a …
Hyperparameter optimization in a convolutional neural network using metaheuristic algorithms
The hyperparameters of a convolutional neural network always have been important,
because the performance of the convolutional neural network depends largely on them. To …
because the performance of the convolutional neural network depends largely on them. To …