Shyh Wei Teng

Deputy Dean/Associate Professor

Federation University Australia - Gippsland Campus

Australia

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Dr. Shyh Wei Teng is the Deputy Dean and Associate Professor at Federation University Australia, located at the Gippsland Campus. His research focuses on the application of advanced machine learning techniques and remote sensing in agriculture, evident from his recent publications, which include topics such as soil organic carbon estimation and smart farming data analytics. Dr. Teng's work integrates deep learning, blockchain technology, and multimodal remote sensing methodologies to enhance agricultural practices and sustainability.

Shyh Wei Teng

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Articles (19)

Hybrid Bayesian Attention Model for estimating soil organic carbon from Landsat 8 satellite data

The digital future of farming: A bibliometric analysis of big data in smart farming research

Deep Learning-Based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation

Thank you for attention: A survey on attention-based artificial neural networks for automatic speech recognition

BSDR: A Data-Efficient Deep Learning-Based Hyperspectral Band Selection Algorithm Using Discrete Relaxation

A survey on evaluation of blockchain-based agricultural traceability

Crop monitoring by multimodal remote sensing: A review

Comparative Analysis of Machine and Deep Learning Models for Soil Properties Prediction from Hyperspectral Visual Band

A Guide to Employ Hyperspectral Imaging for Assessing Wheat Quality at Different Stages of Supply Chain in Australia: A Review

MCSNet+: Enhanced Convolutional Neural Network for Detection and Classification of Tribolium and Sitophilus Sibling Species in Actual Wheat Storage Environments

Anti-aliasing deep image classifiers using novel depth adaptive blurring and activation function

Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning

A Robust Local Texture Descriptor in the Parametric Space of the Weibull Distribution

Robust Image Classification Using a Low-Pass Activation Function and DCT Augmentation

A novel fusion approach in the extraction of kernel descriptor with improved effectiveness and efficiency

Rice Freshness Identification Based on Visible Near-Infrared Spectroscopy and Colorimetric Sensor Array

An Enhancement to the Spatial Pyramid Matching for Image Classification and Retrieval

Network Representation Learning: From Traditional Feature Learning to Deep Learning

Rectified Softmax Loss with All-Sided Cost Sensitivity for Age Estimation

Collaborators (5)

Manzur Murshed

Guojun Lu

Leigh Schmidtke

Shaoning Pang

Manoranjan Paul

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