Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
Get full text

Machine learning methods for large deviations by Cloete, Daniël Willem Hendrik

Get full text

Inclusion of input saturation in the design of dynamically operable plants by Baker, Rhoda

Get full text

Inter-cell interference coordination in 5G ultra-dense networks by Afolalu, Oladele Felix

“…Conventionally, the formulated optimization is transformed from non-convex to convex problem. …”
Get full text

A Comparison Between Machine Learning Techniques to Find Leaks in Pipe Networks

Get full text

An algorithmic approach to continuous location by Chiang, Y B

Get full text

Hierarchical model predictive control of a venlo-type greenhouse

Get full text

Optimum predictive modelling, holistic integration and analysis of energy sources mix for power generation and sustainability in developing economies : a case of the Nigerian power...

Get full text
Get full text

QoS-based power management techniques for uplink W-CDMA cellular systems

Get full text
Get full text

Fitness Landscape Analysis for the Differential Evolution Algorithm by Saad, Amani Dhumad

Get full text

An investigation into the use of the vanadium redox flow energy storage system for peak-shaving and load-leveling by Diko, Mpho

Get full text

Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments

Get full text

Design and optimisation of a low cost Cognitive Mesh Network by Nleya, Sindiso M

“…Recent developments in TV white space communications technology and the emergence of Cognitive radio devices that facilitate Dynamic Spectrum Access (DSA) have provided an opportunity to mitigate the spectrum scarcity problem. To solve the scarcity problem, this thesis reconsiders the classical Network Engineering (NE) and Traffic Engineering (TE) problems to objectively design a low cost Cognitive Mesh network that promotes efficient resources utilization and thereby achieve better Quality of Service (QoS) levels.…”
Get full text

Plastic bags waste management using the knapsack model case study: trashy bags, Accra by Gambrah, Patience Pokuaa

Get full text

Routing in packet switched computer communication networks by Inglesby, Paul

“…This thesis concerns the optimization of the routing path in packet-switched computer-communication networks. …”
Get full text

Efficient access network selection and data demand prediction for 5G systems by Paul, Udita

“…The second part of this thesis aims to solve the problem associated with establishment of data centre and utilization of its resources. …”
Get full text

Efficient radio resource management in next generation wireless networks by Obayiuwana, Enoruwa

“…These demands have led to several challenging problems for wireless communication networks operators and designers. …”
Get full text