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541
A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
Published 2024“…The fingerprinting and descriptors are two commonly approach for polymer featurization. In terms of algorithms, <u>neural networks</u> (NNs), random forest (RF), and gaussian process regression (GPR) are among the most extensively applied methods. …”
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542
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
Published 2017“…Such a system is needed in access control applications whereby a single view is imposed by the system setup. The gait data is firstly processed using three gait representation methods as the features sources; Accumulated Prediction Image (API) and two new gait representations namely; Accumulated Flow Image (AFI) and Edge-Masked Active Energy Image (EMAEI). …”
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543
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
Published 2021“…This ongoing transition undergoes rapid changes, requiring a plethora of advanced methodologies to process the big data generated by various units. In this context, SG stands tied very closely to Deep Learning (DL) as an emerging technology for creating a more decentralized and intelligent energy paradigm while integrating high intelligence in supervisory and operational decision-making. …”
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544
Using artificial bee colony to optimize software quality estimation models. (c2015)
Published 2016“…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. …”
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masterThesis -
545
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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546
From Collatz Conjecture to chaos and hash function
Published 2023“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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547
ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks
Published 2022“…Recently, cognitive network architectures using sophisticated learning techniques are increasingly being applied to such problems. …”
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548
A Framework for Predictive Modeling in Sustainable Projects
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doctoralThesis -
549
Nonlinear Friction Identification of A Linear Voice Coil DC Motor
Published 2015Get full text
doctoralThesis -
550
Connectionist technique estimates of hydrogen storage capacity on metal hydrides using hybrid GAPSO-LSSVM approach
Published 2024“…With this purpose, a total number of 244 pairs of AB<sub>2 </sub>alloys including the elements and their respective hydrogen storage capacity were collected from the literature. …”
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551
On the complexity of various parameterizations of common induced subgraph isomorphism
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conferenceObject -
552
Industrial Internet of Things enabled technologies, challenges, and future directions
Published 2023“…This paper explores IIoT-enabled technologies and infrastructure, their role in global industrial growth, applications, challenges, and future directions. IIoT applications use the intelligence of things to solve industrial problems like supply chain mismanagement, data privacy risks, a weak cloud strategy, cost containment, and others. …”
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553
The multi-parameterized cluster editing problem
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conferenceObject -
554
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555
Scatter search technique for exam timetabling
Published 2011“…These constraints are conflicting, which makes exam timetabling intractable. Hence, solving this problem in realistic time requires the use of heuristic approaches. …”
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556
Industrial Internet of Things enabled technologies, challenges, and future directions
Published 2023“…This paper explores IIoT-enabled technologies and infrastructure, their role in global industrial growth, applications, challenges, and future directions. IIoT applications use the intelligence of things to solve industrial problems like supply chain mismanagement, data privacy risks, a weak cloud strategy, cost containment, and others. …”
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557
Approximate XML structure validation technical report
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558
Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
Published 2023“…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …”