Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
agent modeling » event modeling (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
agent modeling » event modeling (Expand Search)
-
121
-
122
-
123
-
124
Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
Published 2022Get full text
Get full text
Get full text
masterThesis -
125
Optimization Techniques for Directional Overcurrent Relay Coordination: A Comprehensive Review
Published 2023“…It also presents simulation software employed for examining and validating results obtained from optimization algorithms. …”
-
126
-
127
-
128
A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making
Published 2024“…<p dir="ltr">A long-term regional solar energy assessment improves decision-making processes for the selection of the best solar energy technology and helps understand how to define focused policies and investments. This study presents long-term solar resource monthly maps for Qatar. …”
-
129
Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle
Published 2025“…The learning environment is based on a nonlinear double-track vehicle model, incorporating tire-road interactions. To evaluate the generalizability of the algorithms, the agents are tested across various velocities, tire–road friction coefficients, and additional scenarios implemented in IPG CarMaker, a high-fidelity vehicle dynamics simulator. …”
-
130
Communications in electronic textile systems
Published 2017“…A new algorithm based on token grid schemes is presented that takes advantage of the e-textile physical configuration.…”
Get full text
Get full text
Get full text
conferenceObject -
131
-
132
-
133
Reinforcement Learning-Based School Energy Management System
Published 2020“…After cloning the baseline strategy, the agent learns with proximal policy optimization in an actor-critic framework. …”
-
134
Evacuation of a highly congested urban city
Published 2017“…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …”
Get full text
Get full text
Get full text
conferenceObject -
135
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
Published 2019“…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …”
Get full text
-
136
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
Published 2025“…In this paper, a novel speech separation algorithm is proposed that integrates the twin-delayed deep deterministic (TD3) policy gradient reinforcement learning (RL) agent with the expectation maximization (EM) algorithm for clustering the spatial cues of individual sources separated on azimuth. …”
-
137
An automated temporal partitioning tool for a class of DSP applications
Published 1998“…This restructuring transformation is performed on the temporally partitioned behavior and results in near-optimization of throughput. Case study on the Joint Photographic Experts Group (jpeg) image compression algorithm demonstrates the e ectiveness of our approach.…”
Get full text
Get full text
Get full text
conferenceObject -
138
Inception voltage of corona in bipolar ionized fields-effect oncorona power loss
Published 1996“…In addition, the effect of ion penetration on reducing the positive conductor corona inception voltage is also studied. The present algorithm is applied to different laboratory and full scale transmission line configurations. …”
Get full text
Get full text
article -
139
Charge and reduce
Published 2015“…We prove that String-to-String Correction is fixed-parameter tractable, for parameter k, and present a simple fixed-parameter algorithm that solves the problem in O(2kn) time. …”
Get full text
Get full text
Get full text
article -
140
On the parameterized parallel complexity and the vertex cover problem
Published 2016“…In particular, we present a parallel algorithm that outperforms the best known parallel algorithm for this problem: using O(m) instead of O(n2) parallel processors, the running time improves from 4logn+O(kk) to O(k⋅log3n) , where m is the number of edges, n is the number of vertices of the input graph, and k is an upper bound of the size of the sought vertex cover. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject