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601
UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
Published 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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602
A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …”
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article -
603
A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks
Published 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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604
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605
Scatter search metaheuristic for homology based protein structure prediction. (c2015)
Published 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 -
606
Scatter search for homology modeling
Published 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 -
607
Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids
Published 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 -
608
Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
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doctoralThesis -
609
A method for data path synthesis using neural networks
Published 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 -
610
Minimizing Mean Tardiness Subject To Unspecified Minimum Number Tardy For A Single Machine
Published 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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611
LDSVM: Leukemia Cancer Classification Using Machine Learning
Published 2022“…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …”
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612
One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy
Published 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 -
613
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
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doctoralThesis -
614
KT2C. (c2014)
Published 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 -
615
One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy
Published 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 -
616
Determining Dominant Wind Directions
Published 2020“…Important properties of the problem are discussed and a convergent solution algorithm is designed. The algorithm could yield local optimal solutions. …”
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article -
617
Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring
Published 2024“…The DT technology enabled the creation of accurate virtual representations of users' physical environment, facilitating the optimization of energy-intensive devices and systems. …”
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618
Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility
Published 2019“…The simulation results demonstrate the effectiveness of the proposed algorithm compared to the optimal solution and related work in the literature for various network scenarios with user mobility.…”
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conferenceObject -
619
How much is location information worth?
Published 2018“…In this paper we derive the worst-case ratio of an online algorithm for the Traveling Salesman Problem (TSP) with two disclosure dates. …”
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conferenceObject -
620
Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
Published 2025“…After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …”
