Fruits diseases classification: exploiting a hierarchical framework for deep features fusion and selection

Entropy‐controlled deep features selection framework for grape leaf diseases recognition

(2020) Alishba Adeel et al.   EXPERT SYSTEMS

An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection

(2020) Muhammad Attique Khan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Adversarial attack-based security vulnerability verification using deep learning library for multimedia video surveillance

(2019) JaeHan Jeong et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Deepside: A general deep framework for salient object detection

(2019) Keren Fu et al.   NEUROCOMPUTING

Research on deep learning in apple leaf disease recognition

(2019) Yong Zhong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

(2018) Muhammad Sharif et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection

(2018) Xiaozhi Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

License number plate recognition system using entropy-based features selection approach with SVM

(2018) Muhammad Attique Khan et al.   IET Image Processing

A framework for offline signature verification system: Best features selection approach

(2018) Muhammad Sharif et al.   PATTERN RECOGNITION LETTERS

An automated detection and classification of citrus plant diseases using image processing techniques: A review

(2018) Zahid Iqbal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

(2018) Muhammad Attique Khan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation

(2018) Ansi Zhang et al.   Applied Sciences-Basel

An Extreme Learning Machine Approach to Effective Energy Disaggregation

(2018) Valerio Salerno et al.   Electronics

Automatic land cover classification of geo-tagged field photos by deep learning

(2017) Guang Xu et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Deep Feature Fusion for VHR Remote Sensing Scene Classification

(2017) Souleyman Chaib et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

SAR Image segmentation based on convolutional-wavelet neural network and markov random field

(2017) Yiping Duan et al.   PATTERN RECOGNITION

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

(2017) Alvaro Fuentes et al.   SENSORS

Semisupervised Feature Selection Based on Relevance and Redundancy Criteria

(2017) Jin Xu et al.   IEEE Transactions on Neural Networks and Learning Systems

Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval

(2017) Weixun Zhou et al.   Remote Sensing

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

A review on the main challenges in automatic plant disease identification based on visible range images

(2016) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Using Deep Learning for Image-Based Plant Disease Detection

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

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

(2016) Srdjan Sladojevic et al.   Computational Intelligence and Neuroscience

Multiview Deep Learning for Land-Use Classification

(2015) F. P. S. Luus et al.   IEEE Geoscience and Remote Sensing Letters

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Apple disease classification using color, texture and shape features from images

(2015) Shiv Ram Dubey et al.   Signal Image and Video Processing

Fast multi-scale feature fusion for ECG heartbeat classification

(2015) Danni Ai et al.   EURASIP Journal on Advances in Signal Processing

Mining Mid-level Features for Image Classification

(2014) Basura Fernando et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Complementary feature sets for optimal face recognition

(2014) Chandan Singh et al.   EURASIP Journal on Image and Video Processing

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An information fusion based method for liver classification using texture analysis of ultrasound images

(2013) Mandeep Singh et al.   Information Fusion

A Survey of Decision Fusion and Feature Fusion Strategies for Pattern Classification

(2010) UttharaGosa Mangai et al.   IETE TECHNICAL REVIEW

Data fusion in intelligent transportation systems: Progress and challenges – A survey

(2010) Nour-Eddin El Faouzi et al.   Information Fusion

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING