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rl algorithm » rd algorithm (Expand Search), carlo algorithm (Expand Search), _ algorithms (Expand Search)
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1
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
Published 2010“…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …”
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3
Deep Reinforcement Learning for Resource Constrained HLS Scheduling
Published 2022“…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
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Prediction of EV Charging Behavior Using Machine Learning
Published 2021“…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing
Published 2024“…The Jaya algorithm's ability to exploit the current best solutions is complemented by the SSO's collaborative search strategy, resulting in a synergistic optimization framework. …”
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A Framework for Predictive Modeling in Sustainable Projects
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Utilization of AI to Predict Shear Strength Parameters of Soil Based on Their Physical Properties
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10
MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments
Published 2022“…<p dir="ltr">Many novel IoT-based applications demand low latency, large compute resources, and high privacy. …”
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A novel technique for fast multiplication
Published 2020“…The algorithm is modelled in a hardware description language and its VLSI chip implemented. …”
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A novel technique for fast multiplication
Published 1995“…In this algorithm the partial products of the multiplicand and three bits of the multiplier are pre-calculated using only hardwired shifts. …”
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Machine Learning-Based Approach for EV Charging Behavior
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doctoralThesis -
15
A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand
Published 2023“…One noticeable finding is that only 12% of the articles used quantitative models to complement SDM for the decision-making process. The models included agent-based modeling (ABM), Bayesian networking (BN), analytical hierarchy approach (AHP), and simulation optimization multi-objective optimization (MOO). …”
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16
Prototype project management tool (PPMT) with cocomo calibration. (c1998)
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masterThesis -
17
An exact and general model order reduction technique for the finite element solution of elastohydrodynamic lubrication problems
Published 2017“…The technique is complemented with a splitting algorithm to alleviate the hurdle of solving an arising semidense matrix system. …”
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Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System
Published 2025“…This paper presents a comprehensive small-signal modeling and stability analysis framework for grid-connected virtual synchronous generators (VSGs), integrating: an LCL-filter interfaced power converter, active/reactive power loop (APL/RPL) controllers, and dual-loop PI-based current and voltage control. Through systematic eigenvalue analysis and parameter sensitivity studies, complemented by time-domain verification in MATLAB/SIMULINK, we demonstrate the decisive influence of VSG control parameters on low-frequency oscillation (LFO) damping characteristics, transient frequency stability metrics, including the rate of change of frequency (ROCOF), maximum frequency deviation (<i>fnadir</i>), overshoot, and settling time. …”
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Machine Learning Techniques for Pharmaceutical Bioinformatics
Published 2018“…The study integrates knowledge visualization, analysis, as well as development of a predictive model based on the Drug-Drug Interactions (DDIs) as a complex network. …”
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Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE
Published 2023“…The modelling and prediction accuracies are expected to improve with the insertion of a neural network and backpropagation algorithms based on the performed cluster groups following more recent field surveys. …”
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