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High performance non-symmetric multi-h CPFSK modulator and demodulator design
Published 2016“…The implementation of the first method was seen to function through simulations performed by using the TESLA simulation package. …”
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A study on the effect of lateral interactions on methanation over Fe(100)
Published 2018“…Both methods showed a build-up of oxygen on the surface towards the end of the simulation. …”
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Automation of ultrasonic-based product tracking & traceability in supply chains
Published 2026“…The research investigates the unique attributes of ultrasonic signals for product identification, focusing on frequency modulation, signal processing techniques, and integration with existing digital frameworks. The study utilizes simulation models and field testing to examine the reliability, accuracy, and cost-effectiveness of ultrasonic-based tracking across various supply chain stages. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems
Published 2025“…In this study, a solar PV array's MPPT control problem under PSCs is investigated and addressed by applying three model-free and off-policy deep reinforcement learning (DRL) algorithms such as Deep Deterministic Policy Gradient (DDPG), Soft Actor-Critic (SAC), and Deep Q-Network (DQN) algorithm. They are utilized mainly due to their robustness and ability to handle continuous state spaces, unlike the traditional RL method, which operates with discrete action and state domains. …”
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Development of a scaled doubly-fed induction generator for assessment of wind power integration issues
Published 2017“…The micro-machine is introduced in order to overcome the challenges of simulation models and the costs involved in field tests. …”
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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach
Published 2023“…Simulation results substantiated the efficacy of the proposed method as the algorithm was established to learn from experience to raise the battery state of charge and optimally shift loads from a one-time instance, thus supporting the utility grid in reducing aggregate peak load. …”
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Predictive analysis for journal abstracts using polynomial neural networks algorithm
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"How to say no without saying no" A cross-cultural study of the realization and perception of the speech act of refusal among German Learners of Arabic as a Foreign Language...
Published 2019“…Furthermore, to increase the creditability of the interaction data, the study triangulated the data by utilizing retrospective verbal reports. Both quantitative and qualitative methods were employed for analyzing the interactions. …”
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Review of drug financing and expenditure in Uganda : sustainability and improved access to essential medicines
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Energy retrofit decision support model for existing educational buildings in Egypt
Published 2018“…This model provides a method to manage budget against proposed retrofits taking energy efficiency and return on investment into consideration. …”
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On the energy and separation efficiency of dense medium cyclone coal beneficiation processes
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A continuous-time formulation for spatial capture-recapture models
Published 2017“…Some examples of these new non-invasive sampling methods include scat or hair collection for genetic analysis, acoustic detection and camera trapping. …”
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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station
Published 2022“…Likewise, the A2C was compared with the conventional actor-critic method in terms of stability, scalability and convergence. …”
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MANAGEMENT CONTROL USE IN EMERGING ECONOMIES: HOW CONTROLS MANIFEST AND COMBINE IN SOUTH AFRICAN NON-PROFIT ORGANIZATIONS
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A system dynamics approach to managing project risks in the electricity industry in sub Saharan Africa
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Single-Phase Bi-directional Ćuk Inverter for Battery Applications
Published 2020“…The AC input power factor was > 0.95 for both simulated and experimental results.…”
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Reliable Outdoor Ai-Based Autonomous Uav Localization and Trajectory Tracking Using Cellular Networks
Published 2024“…We then formulate the reliable UAV navigation problem as an optimization problem to maximize the probability of minimum error along the path of the UAV. We utilize conventional optimization methods to determine the optimal bound of the solution of the reliable UAV navigation problem. …”
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Environmental drivers of expansion in reef species from the Indo-Pacific region
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Petrology and petrography of samples from two Algoa Basin cores
Published 2016“…Grain size analyses utilizing wet sieving and pippeting methods showed that two populations of grains are dominant, namely fine to very fine silty sand and clay size material. …”
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