Reinforcement Learning-Based Symbolic Regression for Load Modeling

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

Subjects: “…SAMR model…”
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Review of codes of practice for the design of box culverts for recommendation for South African Bureau of Standards (SABS) by Mpeta-Phiri Namalima, Tina

“…The study is a comparative desk study of the application of the vertical earth load, traffic live load and the nominal earth pressure in the design methodology of culverts as outlined in TMH7 – Code of Practice for the design of highways bridges and culverts in South Africa Part 2, AASHTO LRFD Bridge Design specification and the DMRB volume 2 section 2 part 12 - BD31/01. …”
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Alignment of South African National Building Regulation deemed-to-satisfy wall configurations to the loading code by Rabie, Nadia

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Role of code-switching in teaching and learning in selected senior secondary schools in Botswana

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Learners' and Teachers' perspectives on the use of code switching in Geography teaching and learning

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Modelling horizontally loaded piles in the geotechnical centrifuge

Subjects: “…Scale model…”
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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

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

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

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Modelling electricity load scheduling and retailer decision-making

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

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

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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. …”
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An Empirical Study of Automated Machine Learning Python Libraries Using Source Code Analysis

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

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Centrifuge modelling of railway embankments under static and cyclic loading

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Modelling email traffic workloads with RNN and LSTM models

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Modeling aggregate interlock load transfer at concrete pavement joints

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