Classification of bread wheat varieties with a combination of deep learning approach

Classification of Cicer arietinum varieties using MobileNetV2 and LSTM

(2023) Adem Golcuk et al.   EUROPEAN FOOD RESEARCH AND TECHNOLOGY

Classification of bread wheat genotypes by machine learning algorithms

(2023) Adem Golcuk et al.   JOURNAL OF FOOD COMPOSITION AND ANALYSIS

Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithm for Chest X-Ray Images Classification

(2023) Ali Yasar   TEHNICKI GLASNIK-TECHNICAL JOURNAL

Deep learning via LSTM models for COVID-19 infection forecasting in India

(2022) Rohitash Chandra et al.   PLoS One

Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks

(2022) Brokoslaw Laschowski et al.   Frontiers in Neurorobotics

A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals

(2022) Zahra Khademi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

CNN–SVM hybrid model for varietal classification of wheat based on bulk samples

(2022) Muhammed Fahri Unlersen et al.   EUROPEAN FOOD RESEARCH AND TECHNOLOGY

A Novel Convolutional-Recurrent Hybrid Network for Sunn Pest–Damaged Wheat Grain Detection

(2022) Kadir Sabanci et al.   Food Analytical Methods

A Vision Transformer network SeedViT for classification of maize seeds

(2022) Jiqing Chen et al.   JOURNAL OF FOOD PROCESS ENGINEERING

Comparative Analysis of Performance of Deep Learning Classification Approach based on LSTM-RNN for Textual and Image Datasets

(2022) Alaa Sahl Gaafar et al.   Informatica (Slovenia)

Classification of seven Iranian wheat varieties using texture features

(2022) Mostafa Khojastehnazhand et al.   EXPERT SYSTEMS WITH APPLICATIONS

Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction

(2022) Bhamidipati Kishore et al.   Computational Intelligence and Neuroscience

Hybrid convolutional network based on hyperspectral imaging for wheat seed varieties classification

(2022) Xin Zhao et al.   INFRARED PHYSICS & TECHNOLOGY

Benchmarking analysis of CNN models for bread wheat varieties

(2022) Ali Yasar   EUROPEAN FOOD RESEARCH AND TECHNOLOGY

Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model

(2021) J. Yogapriya et al.   Computational and Mathematical Methods in Medicine

A novel deep learning based approach for seed image classification and retrieval

(2021) Andrea Loddo et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning in ECG diagnosis: A review

(2021) Xinwen Liu et al.   KNOWLEDGE-BASED SYSTEMS

Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

(2021) Hamdi Altaheri et al.   NEURAL COMPUTING & APPLICATIONS

BLSTM and CNN Stacking Architecture for Speech Emotion Recognition

(2021) Dongdong Li et al.   NEURAL PROCESSING LETTERS

Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review

(2021) Mohamed A. Kassem et al.   Diagnostics

Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator

(2021) Ayca Ak et al.   Biomedical Signal Processing and Control

A convolutional neural network ‐based comparative study for pepper seed classification: Analysis of selected deep features with support vector machine

(2021) Kadir Sabanci et al.   JOURNAL OF FOOD PROCESS ENGINEERING

India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability

(2021) Shwet Ketu et al.   SOFT COMPUTING

Identification Method of Wheat Cultivars by Using a Convolutional Neural Network Combined with Images of Multiple Growth Periods of Wheat

(2021) Jiameng Gao et al.   Symmetry-Basel

Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features

(2021) Mehmet Balci et al.   Biomedical Signal Processing and Control

DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition

(2021) Kashif Shaheed et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery

(2020) Francisco Luongo et al.   SURGERY

Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification

(2020) Serhat KILICARSLAN et al.   Biomedical Signal Processing and Control

A CNN-BiLSTM-AM method for stock price prediction

(2020) Wenjie Lu et al.   NEURAL COMPUTING & APPLICATIONS

Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques

(2019) Ali Yasar et al.   JOURNAL OF MEDICAL SYSTEMS

Enhancement of Deep Learning in Image Classification Performance Using Xception with the Swish Activation Function for Colorectal Polyp Preliminary Screening

(2019) Natinai Jinsakul et al.   Mathematics

GlutoPeak profile analysis for wheat classification: Skipping the refinement process

(2018) Cristina Malegori et al.   JOURNAL OF CEREAL SCIENCE

Wheat grain classification by using dense SIFT features with SVM classifier

(2016) Murat Olgun et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Computer vision-based method for classification of wheat grains using artificial neural network

(2016) Kadir Sabanci et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Classification system for rain fed wheat grain cultivars using artificial neural network

(2016) Pazoki Alireza et al.   AFRICAN JOURNAL OF BIOTECHNOLOGY

Using classification algorithms for predicting durum wheat yield in the province of Buenos Aires

(2013) José R. Romero et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identification of nine Iranian wheat seed varieties by textural analysis with image processing

(2012) Alireza Pourreza et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE