Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm

Machine-Learning-Based Darknet Traffic Detection System for IoT Applications

(2022) Qasem Abu Al-Haija et al.   Electronics

An IoT Framework for Screening of COVID-19 Using Real-Time Data from Wearable Sensors

(2021) Hamid Mukhtar et al.   International Journal of Environmental Research and Public Health

DOA tracking for seamless connectivity in beamformed IoT-based drones

(2021) N.M. Balamurugan et al.   COMPUTER STANDARDS & INTERFACES

Optimal Deep Neural Network-Based Model for Answering Visual Medical Question

(2021) Karim Gasmi et al.   CYBERNETICS AND SYSTEMS

A Privacy-Enhanced Retrieval Technology for the Cloud-Assisted Internet of Things

(2021) Tian Wang et al.   IEEE Transactions on Industrial Informatics

Efficient Web APIs Recommendation With Privacy-Preservation for Mobile App Development in Industry 4.0

(2021) Wenwen Gong et al.   IEEE Transactions on Industrial Informatics

Blockchain-Based Reliable and Efficient Certificateless Signature for IIoT Devices

(2021) Weizheng Wang et al.   IEEE Transactions on Industrial Informatics

Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model

(2020) Lei Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Classification of olive leaf diseases using deep convolutional neural networks

(2020) Sinan Uğuz et al.   NEURAL COMPUTING & APPLICATIONS

A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU

(2020) Thippa Reddy Gadekallu et al.   Journal of Real-Time Image Processing

Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming

(2020) Yan Guo et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases

(2020) N. V. Raja Reddy Goluguri et al.   NEURAL COMPUTING & APPLICATIONS

Boosted-DEPICT: an effective maize disease categorization framework using deep clustering

(2020) B. V. Gokulnath et al.   NEURAL COMPUTING & APPLICATIONS

Plant disease recognition using fractional-order Zernike moments and SVM classifier

(2019) Parminder Kaur et al.   NEURAL COMPUTING & APPLICATIONS

Maize leaf disease classification using deep convolutional neural networks

(2019) Ramar Ahila Priyadharshini et al.   NEURAL COMPUTING & APPLICATIONS

Identification of plant leaf diseases using a nine-layer deep convolutional neural network

(2019) Geetharamani G. et al.   COMPUTERS & ELECTRICAL ENGINEERING

AI-powered banana diseases and pest detection

(2019) Michael Gomez Selvaraj et al.   Plant Methods

Development of automated hybrid intelligent system for herbs plant classification and early herbs plant disease detection

(2019) M. S. Mustafa et al.   NEURAL COMPUTING & APPLICATIONS

A methodology for fresh tomato maturity detection using computer vision

(2018) Peng Wan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A comparative study of fine-tuning deep learning models for plant disease identification

(2018) Edna Chebet Too et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection of green apples in natural scenes based on saliency theory and Gaussian curve fitting

(2018) Bairong Li et al.   International Journal of Agricultural and Biological Engineering

Plant disease leaf image segmentation based on superpixel clustering and EM algorithm

(2017) Shanwen Zhang et al.   NEURAL COMPUTING & APPLICATIONS

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Deep learning

(2015) Yann LeCun et al.   NATURE

Hierarchical Feature Extraction With Local Neural Response for Image Recognition

(2012) Hong Li et al.   IEEE Transactions on Cybernetics