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Characterization of control in a superconducting qutrit using randomized benchmarking
Published 2021“…Randomized benchmarking over the qutrit Clifford group yields an average fidelity of 98.89±0.05%. For a selected subset of the Clifford group, we perform quantum process tomography and observe the behavior of repeated gate sequences. …”
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Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems
Published 2021“…We propose a novel privacy-preserving intrusion detection pipeline for distributed incremental learning. Our pre-processing technique eliminates redundancies and selects unique features by following innovative extraction techniques. …”
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Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings
Published 2021“…The proposed work presents four significant contributions, namely identifying the key design principles to inform the design of a coordination mobile app for special education, developing and implementing the IEP-Connect mobile app, modelling the selection of a motivator as a Markov Decision Process (MDP), and proposing a Reinforcement Learning (RL) framework to recommend a motivator to be used with students with SEND in a given learning setting. …”
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Sustainability Evaluation of 3D Concrete Printing in the U.A.E. Construction Projects
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Cost Evaluation of 3D Concrete Printing in the UAE Construction Industry
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A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…The proposed technique involved two major steps: feature selection and fault classification. Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”
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Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
Published 2023“…The sequential measurements processing method is used to merge the inputs from the camera and the radar. …”
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A Recent Advances of Bat-inspired Algorithm
Published 2022“…The successful applications of BA are reviewed and summarized, such as electrical and power system, wireless and network system, environment and materials engineering, classification and clustering, structural and mechanical engineering, feature selection, image and signal processing, robotics, medical and healthcare, scheduling domain, and many others. …”
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A Service Backplane for E-Textile Applications (2002)
Published 2017“…Based on this analysis, three services particularly affected by the e-textile design space---fault tolerance, physical configuration, and processing element selection--are described in detail. …”
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Vehicular-OBUs-As-On-Demand-Fogs
Published 2020“…Fog devices are capable of bringing cloud intelligence near the edge, making them a suitable candidate to process vehicular requests. However, their location, processing power, and technology used to host and update services affect their availability and performance while considering the mobility patterns of vehicles. …”
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Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
Published 2023“…We use a semantic-aware inverted index to allow semantic-aware search, result selection, and result ranking functionality. The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …”
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Smart mobile computation offloading
Published 2017“…We present in this article a novel system model for computations offloading which goes beyond existing works with smart centralized, selective, and optimized approach. The proposition consists of (1)hotspots selection mechanism to minimize the overhead of the offloading evaluation process yet without jeopardizing the discovery of the optimal processing environment of tasks, (2)a multi-objective optimization model that considers adaptable metrics crucial for minimizing device resource usage and augmenting its performance, and (3)a tailored centralized decision maker that uses genetics to intelligently find the optimal distribution of tasks. …”
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Dual dynamic kernel filtering: Accurate time-frequency representation, reconstruction, and denoising
Published 2025“…In this study, we introduce Dual Dynamic Kernel Filtering (2DKF) for time-frequency decomposition, emphasizing how kernel selection influences signal representation, reconstruction accuracy, and overall filtering performance. …”
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