Efficient radio resource management for future generation heterogeneous wireless networks by Adedoyin, Mary Abosede

“…Also, the proposed algorithms display excellent performance in dynamic wireless environments.…”
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Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments

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Approximation approaches for training neural network problems with dynamic mini-batch sub-sampled losses

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Predictive Maintenance: Leveraging Hybrid LSTM-CNN Architectures for Enhanced Performance by El Sadeek, Kamal Mohamed

“…On the NASA Battery dataset, where data is less variable, optimization through Genetic Algorithms (GA) proved highly effective. …”
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Multi-purpose applications of energy storage systems in a power system network by Okafor, Chukwuemeka Emmanuel

“…This resulted in a fair optimization process with enhanced results. Additionally, by deploying the new metaheuristic algorithm, the DSO, the computational time was reduced compared with other metaheuristic algorithms such as the particle swarm optimization (PSO) and genetic algorithm (GA). …”
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Multiobjective in-core fuel management optimisation for nuclear research reactors by Schlunz, Evert Barend

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Mitigation of control errors in quantum annealing by Dlamini, Thembelihle Rose

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

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Genetic Programming Approach for Nonstationary Data Analytics

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Machine Learning Based Critical Resource Allocation in Mixed-Traffic Cellular Networks by Nomeir, Mohamed

“…The results show that the proposed algorithms produce near-optimal results in real-time.…”
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The application of neural differential equations to enzymatic time-series by Heusdens, Danica Aimee

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Transient stability assessment of hybrid distributed generation using computational intelligence approaches by Olulope, Paul Kehinde

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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. …”
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PySUNDIALS : Providing python bindings to a robust suite of mathematical tools for computational systems biology by Dominy, James Gilmour

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Energy-efficient adaptive data rate optimisation scheme for LoRaWAN

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Hierarchical model predictive control of a venlo-type greenhouse

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Interference Management of Inband Underlay Device-toDevice Communication in 5G Cellular Networks by Boamah, Sharon Ampomaa

“…D2D communication underlaying a cellular network provides efficient utilisation of the scarce spectral resources, however, there is an introduction of interference emanating from the reuse of cellular channels by D2D pairs. …”
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Blaze-DEM : a GPU based large scale 3D discrete element particle transport framework

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Computational intelligent systems : evolving dynamic Bayesian networks by Osunmakinde, Isaac Olusegun

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Automated learning rates in machine learning for dynamic mini-batch sub-sampled losses

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