Search alternatives:
each algorithm » search algorithm (Expand Search), jaya algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
elements rd » elements _ (Expand Search)
complement » implement (Expand Search), complementary (Expand Search)
each algorithm » search algorithm (Expand Search), jaya algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
elements rd » elements _ (Expand Search)
complement » implement (Expand Search), complementary (Expand Search)
-
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. …”
Get full text
Get full text
article -
2
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. …”
Get full text
Get full text
Get full text
article -
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. …”
Get full text
Get full text
Get full text
masterThesis -
4
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. …”
Get full text
article -
5
A Framework for Predictive Modeling in Sustainable Projects
Published 2012Get full text
doctoralThesis -
6
MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments
Published 2022“…Each of our scheduling algorithms is designed to allow the system to operate more efficiently given poor or strong network infrastructures. …”
-
7
Machine Learning-Based Approach for EV Charging Behavior
Published 2021Get full text
doctoralThesis -
8
Utilization of AI to Predict Shear Strength Parameters of Soil Based on Their Physical Properties
Published 2025Get full text
doctoralThesis -
9
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…To fuse speech with EEG information, a separate classifier is used for each modality, then output is computed by integrating their posterior probabilities. …”
Get full text
Get full text
-
10
The Generalization of Bidirectional Dual Active Bridge DC/DC Converter Modulation Schemes: State-of-the-Art Analysis under Triple Phase Shift Control
Published 2023“…The article aims to highlight six TPS switching modes and their complements with operational constraints. Unlike previous studies that regarded TPS as a complex scheme, this paper simplifies the analysis of each mode and aims to standardize the understanding of TPS modulation for dual active bridge (DAB) converters. …”
-
11
Machine Learning Techniques for Pharmaceutical Bioinformatics
Published 2018“…This set of attributes imposes how each drug performs its action inside a human body. …”
Get full text
-
12
Large-scale annotation dataset for fetal head biometry in ultrasound images
Published 2023“…The dataset was assembled under the Creative Commons Attribution 4.0 International license, using previously anonymized and de-identified images to maintain ethical standards. Each image is complemented by a CSV file detailing pixel size in millimeters (mm). …”