Cover Image

Tea category classification via 5-layer customized convolutional neural network

INTRODUCTION: Green tea, oolong, and black tea are the three most popular teas in the world. If classified tea by manual, it will not only take a lot of time, but also be affected by other factors, such as smell, vision, emotion, etc. OBJECTIVES: Other methods of tea category classification have the...

Full description

Saved in:

Bibliographic Details
Main Authors:	Xiang Li (Author), Mengyao Zhai (Author), Junding Sun (Author)
Format:	Book
Published:	European Alliance for Innovation (EAI), 2021-05-01T00:00:00Z.
Subjects:	article
Online Access:	Connect to this object online.
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Alzheimer's disease diagnosis via 5-layer Convolutional Neural Network and Data Augmentation
by: Shuangshuang Gao
Published: (2021)

Recognition system for fruit classification based on 8-layer convolutional neural network
by: Jia-Ji Wang
Published: (2022)

Six-layer Optimized Convolutional Neural Network for Lip Language Identification
by: Yifei Qiao, et al.
Published: (2021)

Classification of melanocytic lesions in selected and whole-slide images via convolutional neural networks
by: Steven N Hart, et al.
Published: (2019)

An Attention-Based Wavelet Convolution Neural Network for Epilepsy EEG Classification
by: Qi Xin, et al.
Published: (2022)

Classification of mitotic figures with convolutional neural networks and seeded blob features
by: Christopher D Malon, et al.
Published: (2013)

Classifications of multispectral colorectal cancer tissues using convolution neural network
by: Hawraa Haj-Hassan, et al.
Published: (2017)

Chinese fingerspelling sign language recognition using a nine-layer convolutional neural network
by: Ya Gao, et al.
Published: (2021)

Image classification with Deep Convolutional Neural Network Using Tensorflow and Transfer of Learning
by: Aseel Sami Ali, et al.
Published: (2020)

An explainable AI-based blood cell classification using optimized convolutional neural network
by: Oahidul Islam, et al.
Published: (2024)

Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)
by: Zahangir Alom, et al.
Published: (2022)

Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
by: Julia Höhn, et al.
Published: (2021)

Classification of Action Potentials With High Variability Using Convolutional Neural Network for Motor Unit Tracking
by: Yixin Li, et al.
Published: (2024)

Symmetric Convolutional and Adversarial Neural Network Enables Improved Mental Stress Classification From EEG
by: Ruiqi Fu, et al.
Published: (2022)

HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou's Five-Step Rule
by: Ping Xuan, et al.
Published: (2019)

Influence of growth structures and fixed appliances on automated cephalometric landmark recognition with a customized convolutional neural network
by: Teodora Popova, et al.
Published: (2023)

Motor Imagery Classification Using Inter-Task Transfer Learning via a Channel-Wise Variational Autoencoder-Based Convolutional Neural Network
by: Do-Yeun Lee, et al.
Published: (2022)

The recognition of speech defects using convolutional neural network
by: Olha Pronina, et al.
Published: (2023)

Facial wrinkle categorization using Convolutional Neural Network
by: Čedomir Vasić
Published: (2024)

The application of convolutional neural network to stem cell biology
by: Dai Kusumoto, et al.
Published: (2019)

Comparison study on convolution neural network (CNN) techniques for image classification / Siti Maisarah Zainorzuli ...[et al.]
by: Zainorzuli, Siti Maisarah, et al.
Published: (2022)

Classification of scanning electron microscope images of pharmaceutical excipients using deep convolutional neural networks with transfer learning
by: Hiroaki Iwata, et al.
Published: (2022)

Continuous Scoring of Depression From EEG Signals via a Hybrid of Convolutional Neural Networks
by: S. Hashempour, et al.
Published: (2022)

Flexible pavement crack's severity identification and classification using deep convolution neural network / A. Ibrahim ...[et al.]
by: Ibrahim, A., et al.
Published: (2021)

Task-State EEG Signal Classification for Spatial Cognitive Evaluation Based on Multiscale High-Density Convolutional Neural Network
by: Dong Wen, et al.
Published: (2022)

Convolutional neural network for automated tooth segmentation on intraoral scans
by: Xiaotong Wang, et al.
Published: (2024)

Vessels characteristics in familial exudative vitreoretinopathy and retinopathy of prematurity based on deep convolutional neural networks
by: Xinyi Deng, et al.
Published: (2023)

Tooth caries classification with quantitative light-induced fluorescence (QLF) images using convolutional neural network for permanent teeth in vivo
by: Eun Young Park, et al.
Published: (2023)

DMA-HPCNet: Dual Multi-Level Attention Hybrid Pyramid Convolution Neural Network for Alzheimer’s Disease Classification
by: Shiguan Mu, et al.
Published: (2024)

MODEL IDENTIFIKASI JENIS NAGHAM ALQURAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
by: Velia Rahmadi,
Published: (2020)

PENERJEMAHAN BAHASA DAERAH BERBASIS GAMBAR MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
by: Donni S. Silalahi,
Published: (2020)

Implementation of OCR using Convolutional Neural Network (CNN): A Survey
by: Ahmed Alkaddo, et al.
Published: (2022)

The Use of Deep Convolutional Neural Networks in Biomedical Imaging: A Review
by: Yu-Cheng Chen, et al.
Published: (2019)

Multi-Channel Fetal ECG Denoising With Deep Convolutional Neural Networks
by: Eleni Fotiadou, et al.
Published: (2020)

Three-Stream Convolutional Neural Network for Depression Detection With Ocular Imaging
by: Minqiang Yang, et al.
Published: (2023)

Scalp EEG-Based Pain Detection Using Convolutional Neural Network
by: Duo Chen, et al.
Published: (2022)

Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy
by: Joonmyeong Choi, et al.
Published: (2020)

Lesion-Based Convolutional Neural Network in Diagnosis of Early Gastric Cancer
by: Hong Jin Yoon, et al.
Published: (2020)

Explainable convolutional neural networks for assessing head and neck cancer histopathology
by: Marion Dörrich, et al.
Published: (2023)

Hearing loss classification via stationary wavelet entropy and Biogeography-based optimization
by: Chong Yao, et al.
Published: (2020)