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881
Optimal Planning of Distributed Generators and Shunt Capacitors in Isolated Microgrids With Nonlinear Loads
Published 2020“…The intermittent natures of loads and renewable DGs are modelled probabilistically. The effectiveness of the proposed planning approach has been validated using the PG&E 69-bus system, and the followings are observed: 1) the significance of applying suitable fundamental-power-flow and harmonic-power-flow algorithms for isolated microgrids, and 2) the possibility of avoiding a severe voltage distortion by utilizing an appropriate planning method and only small increase in the cost.…”
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882
Transformations for Variants of the Travelling Salesman Problem and Applications
Published 2017Get full text
doctoralThesis -
883
Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities
Published 2022Get full text
doctoralThesis -
884
Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach
Published 2023“…We then formulate the problem for UAV trajectory to minimize the maximum outage probability (OP) of directional THz links. Then, using geometrical analysis and deep reinforcement learning (RL) method, we propose several algorithms to find the optimal trajectory and select an optimal pattern during the trajectory. …”
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885
Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters
Published 2021Get full text
doctoralThesis -
886
Localizing-ground Transmitters Using Airborne Antenna Array
Published 2020Get full text
doctoralThesis -
887
CAD TOOL FOR THE AUTOMATIC-GENERATION OF MICROPROGRAMS
Published 2020“…The algorithms used in the process of translation from UAHPL description to microprograms are also discussed. …”
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888
A fine-grained XML structural comparison approach
Published 2007“…Most of them make use of techniques for finding the edit distance between tree structures, XML documents being modeled as ordered labeled trees. …”
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conferenceObject -
889
Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3
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conferenceObject -
890
Data Endowment as a Digital Waqf: An Islamic Ethical Framework for AI Development
Published 2025“…<p dir="ltr">In the era of artificial intelligence (AI), data is often called the new oil—an essential asset for training algorithms and fueling intelligent systems. However, the ethical considerations surrounding this data’s ownership, use, and benefits remain contentious. …”
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891
A family of minimum curvature variable-methods for unconstrained optimization. (c1998)
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masterThesis -
892
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893
Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces
Published 2021“…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …”
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894
Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings
Published 2022“…Additionally, we evaluate the performance of the best developed model with children. Machine learning algorithms experiments showed that XGBoost achieved the best performance across all metrics (e.g., accuracy of 90%) and provided fast predictions (i.e., 0.004 s) for the test samples. …”
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895
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
Published 2017“…Most interestingly, we show that such functions can be (i) automatically learned also from controversial but commonly accepted coreference measures, e.g., MELA, and (ii) successfully used in learning algorithms. The accurate model comparison on the standard CoNLL-2012 setting shows the benefit of more expressive loss functions.…”
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896
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
Published 2023“…Secondly, to illustrate the gravity of these issues, we present a case study on the task of human facial emotion recognition (FER) based on AffectNet dataset, where we analyze the effects of widely used input quantization on the security, robustness, fairness, and trustworthiness of an EML model. …”
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897
Energy-Efficient VoI-Aware UAV-Assisted Data Collection in Wireless Sensor Networks
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masterThesis