Reinforcement Learning-Based Symbolic Regression for Load Modeling

Get full text

Integrating lecture recording to support flexible learning and responsive pedagogies in a dual mode undergraduate law degree by Prinsloo, Heinrich

Subjects: “…SAMR model…”
Get full text

Modelling horizontally loaded piles in the geotechnical centrifuge

Subjects: “…Scale model…”
Get full text

On the relationship between crack initiation angle and loading equivalent angle for asymmetric Three-Point Bend Specimens under mixed-mode I/II loading based on GMPZR criterion

Get full text

Constitutive modelling of the behaviour of clays under cyclic loading by Sellers, E J

Get full text

Modelling of reinforced concrete slab deflections at service loading by Boting, Antony John

Get full text

Modelling electricity load scheduling and retailer decision-making

Get full text

Probabilistic Models of Design Wind Loads in South Africa by Botha, Jacques

Get full text

Computational modelling techniques to determine patellofemoral joint loads. by Atkinson, Julian David

Get full text

Load Balancing in Mobile Networks Using Deep Reinforcement Learning and Traffic Prediction by Raafat Mokhtar Abouamasha, Shorouk

“…The proposed approach is based on the ARIMA model used to predict the next states of the environment so that the RL agent considers them in the decision-making process. …”
Get full text
Get full text

Stratifying antimalarial compounds with similar mode of action using machine learning on chemo-transcriptomic profiles

Get full text

Centrifuge modelling of railway embankments under static and cyclic loading

Get full text

Modelling email traffic workloads with RNN and LSTM models

Get full text

Modeling aggregate interlock load transfer at concrete pavement joints

Get full text
Get full text

Ageing estimation models for lightly loaded distribution power transformers by Mukuddem, Mohamed Ziyaad

Get full text

Probabalistic load modelling of electrical demand of residential water heating by Urban, Graeme John

Subjects: “…Probabilistic load modeling…”
Get full text

Evaluation of losses in LV feeders using the Beta Load Model by Fourie, Roelof Jacobus

Get full text

Model Averaging Is Asymptotically Better Than Model Selection For Prediction

Get full text

Integrated network-based thermofluid model of a once-through boiler at full- and part-load by Feng, Kai-Yu

“…The average error of the predicted heat exchanger heat loads is 2.0% and the maximum error is 5.2%. The calibrated model was then validated by applying it to two part-load operational states in dry mode operation, as well as a wet mode (low-load) operational state. …”
Get full text