On Fusing Artificial and Convolutional Neural Network Features for Automatic Bug Assignments

- Dipongkor, Atish Kumar, Islam, Md. Saiful, Hussain, Ishtiaque, Yongchareon, Sira, Mistry, Sajib

Estimating catchment scale soil moisture at a high spatial resolution: Integrating remote sensing and machine learning

- Senanayake, I. P., Yeo, I-Y., Walker, J. P., Willgoose, G. R.

IoT Cybersecurity: On the Use of Machine Learning Approaches for Unbalanced Datasets

- Azad, Salahuddin, Naqvi, Syeda Salma, Sabrina, Fariza, Sohail, Shaleeza, Thakur, Sweta

An artificial neural network approach to inhomogeneous soil slope stability predictions based on limit analysis methods

- Qian, Z. G., Li, A. J., Chen, W. C., Lyamin, A. V., Jiang, J. C.

Development of a deep neural network for automated electromyographic pattern classification

- Akhundov, Riad, Saxby, David J., Edwards, Suzi, Snodgrass, Suzanne J., Clausen, Phil, Diamond, Laura E.

Estimating the soil respiration under different land uses using artificial neural network and linear regression models

- Ebrahimi, Mitra, Sarikhani, Mohammad Reza, Safari Sinegani, Ali Akbar, Ahmadi, Abbas, Keesstra, Saskia

Modelling carbon emission intensity: application of artificial neural network

- Acheampong, Alex O., Boateng, Emmanuel B.

Predicting the Level of Safety Performance Using an Artificial Neural Network

- Boateng, Emmanuel Bannor, Pillay, Manikam, Davis, Peter

Using an artificial neural network to enhance the spatial resolution of satellite soil moisture products based on soil thermal inertia

- Senanayake, I. P., Yeo, I-Y, Willgoose, G. R., Hancock, G. R., Bretreger, D.

Evaluating organic carbon fractions, temperature sensitivity and artificial neural network modeling of CO2 efflux in soils: Impact of land use change in subtropical India (Meghalaya)

- Thangavel, Ramesh, Kanchikerimath, Manjaiah, Sudharsanam, Abinandan, Ayyanadar, Arunachalam, Karunanithi, Rajasekar, Deshmukh, Nishant Anandrao, Vanao, Ngachan Shishom

Interactive effects of PAHs and heavy metal mixtures on oxidative stress in Chlorella sp. MM3 as determined by artificial neural network and genetic algorithm

- Subashchandrabose, Suresh R., Wang, Liang, Venkateswarlu, Kadiyala, Naidu, Ravi, Megharaj, Mallavarapu

Parkinson’s disease data classification using evolvable wavelet neural networks

- Khan, Maryam Mahsal, Chalup, Stephan K., Mendes, Alexandre

Short-term load forecasting of Australian national electricity market by an ensemble model of extreme learning machine

- Zhang, Rui, Dong, Zhao Yang, Xu, Yan, Meng, Ke, Wong, Kit Po