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601
FoGMatch
منشور في 2019"…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …"
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masterThesis -
602
Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
منشور في 2021"…In addition, this review analyzes recent automatic architecture optimization algorithms for DL-based PVPF. Next, the notable DL technologies are thoroughly described. …"
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603
Transformations for Variants of the Travelling Salesman Problem and Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
604
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605
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
منشور في 2022"…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …"
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606
UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
منشور في 2018"…We formulate a joint optimization problem and divide it into four complementary subproblems to generate close-to-optimal results with lower complexity. …"
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article -
607
A Stochastic Newton-Raphson Method with Noisy Function Measurements
منشور في 2016"…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …"
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article -
608
A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks
منشور في 2025"…<p>The energy internet (EI) is evolving toward decentralized, data-rich, and time-critical operation, where legacy optimization often fails to meet complexity, scalability, and real-time constraints. …"
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609
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610
Scatter search metaheuristic for homology based protein structure prediction. (c2015)
منشور في 2015"…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …"
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masterThesis -
611
Scatter search for homology modeling
منشور في 2016"…Results obtained by our SS algorithm are compared with other approaches. The 3D models predicted by our algorithm show improved root mean standard deviations with respect to the native structures.…"
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conferenceObject -
612
Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids
منشور في 2019"…The planning problem jointly allocates and sizes a set of distributed generators (DGs) along with the EV charging stations to balance the supply with the total demand of regular loads and EV charging. The planning algorithm specifies optimal locations and sizes of the EV charging stations and DG units that minimize two conflicting objectives: (a) deployment and operation costs and (b) associated green house gas emissions, while satisfying the microgrid technical constraints. …"
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article -
613
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614
A method for data path synthesis using neural networks
منشور في 2017"…A sequential simulator was implemented for the proposed algorithm on a Linux Pentium PC under X Windows. Several circuits hare been attempted, all yielding sub-optimal solutions.…"
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conferenceObject -
615
Minimizing Mean Tardiness Subject To Unspecified Minimum Number Tardy For A Single Machine
منشور في 2020"…It also uses an insertion algorithm which determines the optimal mean tardiness once the subset of tardy jobs is specified. …"
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article -
616
LDSVM: Leukemia Cancer Classification Using Machine Learning
منشور في 2022"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"
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617
One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy
منشور في 2020"…In this paper the one-machine scheduling problem with the objective of minimizing the mean tardiness subject to maintaining a prescribed number of tardy jobs is analysed An algorithm for solving this problem is presented. It is proved that the schedule generated by the proposed algorithm is indeed optimal.…"
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article -
618
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis -
619
KT2C. (c2014)
منشور في 2016"…We introduce the K-way Thermal Chip Clustering (KT2C) algorithm; a VLSI chip partitioning algorithm that is used to reduce the chip’s temperature and prevent the formation of hotspots. …"
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masterThesis -
620
One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy
منشور في 2020"…In this paper the one-machine scheduling problem with the objective of minimizing the mean tardiness subject to maintaining a prescribed number of tardy jobs is analysed An algorithm for solving this problem is presented. It is proved that the schedule generated by the proposed algorithm is indeed optimal.…"
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article