Short-term Water Demand Forecasting at a District Level Using Deep Learning Techniques

Exploring deep learning to improve allelic peak calling in forensic DNA analysis

Deep learning-based surrogate modelling for 2D flood simulation

Response Surface Based Design Optimization of a Low-Pressure Microresistojet's Heat Exchanger

Applying deep learning vs machine learning models to reproduce dry spells at point scale from satellite information in a data-scarce region: the case of northern Ghana

Robust multi-label learning for weakly labeled data

Enabling Log Recommendation Through Machine Learning on Source Code

Finding disentangled representations using VAE

Football activity recognition: A deep learning approach to football activity recognition based on Inertial Measurement Units signals

Machine Learning-based Classification of Different 3D Point Cloud Data of Railway Environments using Random Forest and DGCNN

A physics guided neural network approach for dose prediction in automated radiation therapy treatment planning

Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations

Road type classification of MLS point clouds using deep learning

Classification prognostics approaches in aviation

Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study

The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis

Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations

Research On ADCN Method For Damage Detection Of Mining Conveyor Belt

Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis

A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer