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 by Abdelkader, Nour, Ms

“…Interviews also identified key challenges: a male-skewed audience, algorithmic pressure, and a lack of female voices in content creation. …”
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A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback by Abo El Ela, Yousef Salah

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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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The application of neural differential equations to enzymatic time-series by Heusdens, Danica Aimee

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…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 by Nwachukwu, Sampson

“…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 by Falowo, Olabisi Emmanuel

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Ultrasonic spectroscopy of liquid filled piezoelectric tube by Prenzlow, Bjorn

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

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Multi-path planning and multi-body constrained attitude control by Okoloko, Innocent

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Admission Control in Sliced Networks, with Predictive Analytics by Ngufor, Perose

“…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 by Mohapi, Lerato Jerfree

“…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 by Afifi, Ghada

“…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 by Wambi, Paul James

“…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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An unsupervised approach to COVID-19 fake tweet detection by Jarana, Bulungisa

“…The methodology includes a literature review, experimental analysis, and the utilization of a Twitter dataset. Methods: The study used both Mini-Batch K-means and K-means algorithms of clustering techniques to provide us with ‘grouping' of Twitter data in the two of clusters. …”
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Energy management of micro-grid using cooperative game theory by Oladejo, Ismaheel Oyeyemi

“…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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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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Portfolio constuction using robust weight functions by Mvubu, Thokozani

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

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

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