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Correlation attacks on stream ciphers using convolutional codes
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A Computational Intelligence Approach to Clustering of Temporal Data
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Renal allograft biopsies at Groote Schuur Hospital: a histopathologic descriptive study with molecular insights
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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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Multi-purpose applications of energy storage systems in a power system network
Published 2025“…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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The application of neural differential equations to enzymatic time-series
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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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Efficient joint call admission control and bandwidth management schemes for QoS provisioning in heterogeneous wireless networks
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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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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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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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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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