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The artificial immune system with evolved lymphocytes
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Calibrating models to data: a comparison of methods
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The application of the cross-entropy method for multi-objective optimisation to combinatorial problems
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A Computational Intelligence Approach to Clustering of Temporal Data
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Experiences of Physical Sciences teachers when introduced to an electronic expert system
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Game, Set, Empower: A Comparative Instagram Analysis of Branding and Engagement in the Confederation of African Football (CAF) Women’s and Men’s Champions League
Published 2025“…Interviews also identified key challenges: a male-skewed audience, algorithmic pressure, and a lack of female voices in content creation. …”
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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station
Published 2022“…The two algorithms were tested using a 24-hour load, generation and utility grid tariff profiles under static optimization conditions. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems
Published 2025“…Recently, metaheuristic optimization algorithms, including particle swarm optimization (PSO), genetic algorithm (GA), etc., have been used to deal with the limitations of classical methods. …”
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Ultrasonic spectroscopy of liquid filled piezoelectric tube
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Multi-path planning and multi-body constrained attitude control
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Admission Control in Sliced Networks, with Predictive Analytics
Published 2024“…We design and evaluate two intra-slice admission control algorithms namely, the Decision Matrix algorithm and the Utility Index algorithm. …”
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A domain specific language for facilitating automatic parallelization and placement of SDR patterns into heterogeneous computing architectures
Published 2018“…The OptiSDR DSL design processes using this Delite framework involved designing the new structured parallel patterns for DSP algorithms (e.g. FIR, FFT, convolution, correlation, etc.), dataflow models of computation (MoC), parallel loop optimizations (tiling and space splitting), and optimal memory access patterns. …”
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Efficient energy management in ultra-dense wireless networks
Published 2020“…Finally, the statistical and mathematical results generated through the simulations indicate that the proposed scheme is the closest in NEE performance to the Exhaustive Search algorithm, and hence superior to the other sub-optimal algorithms it is compared to.…”
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Portfolio constuction using robust weight functions
Published 2014“…The Sharpe Single Index and the Improved Sharpe Single Index models have been formulated in a bid to form better performing models. In the optimization algorithms, these models tend to not select highly volatile shares and thus eliminate the possibility of making better returns in the event these shares perform very well. …”
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Reliable Outdoor Ai-Based Autonomous Uav Localization and Trajectory Tracking Using Cellular Networks
Published 2024“…We utilize conventional optimization methods to determine the optimal bound of the solution of the reliable UAV navigation problem. …”
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Energy management of micro-grid using cooperative game theory
Published 2020“…This is in contrast with other heuristic algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) that require other control parameters (i.e. …”
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