Learning data-derived vehicle motion models for use in localisation and mapping

Get full text

Seedling and juvenile tree detection using UAV photogrammetry and machine learning by Kok, Simeon James

Get full text

Force and velocity jump characteristics of University-level field hockey players by Van Jaarsveld, Amori

Get full text

Monitoring and diagnosis of process systems using kernel-based learning methods by Jemwa, Gorden Takawadiyi

Get full text

Disentangled representations in speech processing applications by Baas, Matthew

Get full text

Detecting Electrical Submersible Pump (ESP) Failures and Estimating Run Life Using Artificial Neural Networks by Sobhy, Mostafa Ahmed

“…The RUL prediction module achieves high accuracy (R² > 0.96; MAE < 10 days) through supervised algorithms specifically designed for the ESPs' dataset dynamics. …”
Get full text
Get full text

Project Leanness Score: A Machine Learning Approach by Said, Julia

“…Fourth, benchmarking the leanness score representing the industry’s performance through collecting extensive project data from 30 construction projects. Fifth, training and validating models using machine learning algorithms such as regression, decision trees, and artificial neural networks to predict the schedule and budget performance of construction projects using the factors of the leanness score. …”
Get full text
Get full text

Mixed-Criticality Scheduling Using Reinforcement Learning by ElSeadawy, Omar

“…Sensitivity analysis shows that training the model with randomized parameters yields a stable performance that is relatively robust to some changes in the generated instances. …”
Get full text
Get full text

Wearable device localisation and its effect on activity recognition using machine learning

Get full text

Identifying predictive markers in complex samples of biogenic volatile compounds using GC×GC-TOFMS and machine learning

Get full text
Get full text

Fast accurate diphone-based phoneme recognition by Du Preez, Marianne

Get full text

Evaluation of a high-pole number reluctance synchronous wind generator technology by Baziruwiha, Jean-Claude

Get full text

Design of a field-intensified interior permanent magnet synchronous machine for electric vehicle application by Prins, Michiel Hendrik Albertus

Get full text

Land rights in sub-Saharan Africa : measuring impact with satellite images, machine learning and citizen science by Chingozha, Tawanda

Get full text

3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting by Wasswa, William

“…The Euclidean distances confirm that a posterior model moves closer to the CT image, hence it reduces the search space for a more exact patient-specific 3D reconstruction by other fitting algorithms.…”
Get full text

Evaluating infrared thermographic imaging technology in the detection and quantification of tick burdens in cattle by Mudau, Fhulufhelo

Get full text

Inferring secondary cell wall-related R2R3-MYB transcription factor gene targets in Eucalyptus grandis using DNA affinity purification sequencing

Get full text
Get full text

Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images by Fouefack, Jean-Rassaire

“…Both sampling and parametric based registration algorithms are proposed, which allow the establishment of dense correspondence across volumetric shapes (such as tetrahedral meshes) while preserving the spatial relationship between them. …”
Get full text

Towards a framework for multi class statistical modelling of shape, intensity and kinematics in medical images by Fouefack, Jean-Rassaire

“…Both sampling and parametric based registration algorithms are proposed, which allow the establishment of dense correspondence across volumetric shapes (such as tetrahedral meshes) while preserving the spatial relationship between them. …”
Get full text

Adaptive digital image correlation using neural networks by Atkinson, Devan James

Get full text