Search alternatives:
setting algorithm » scheduling algorithm (Expand Search)
component » components (Expand Search)
element » elements (Expand Search)
setting algorithm » scheduling algorithm (Expand Search)
component » components (Expand Search)
element » elements (Expand Search)
-
121
Edge intelligence for network intrusion prevention in IoT ecosystem
Published 2023“…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …”
-
122
Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea
Published 2018“…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …”
Get full text
Get full text
Get full text
Get full text
article -
123
A new approach and faster exact methods for the maximum common subgraph problem
Published 2017“…A detailed analysis shows that the proposed algorithm requires O((m+1)n) time, which is a superior worst-case bound to those known for previously-analyzed algorithms in the setting of the MCS problem. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
124
Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry
Published 2016“…We present a new and fast method that blends altimetric and drifter positions data in order to predict the surface velocity in the Eastern Levantine Mediterranean. …”
Get full text
Get full text
Get full text
Get full text
article -
125
Using machine learning for disease detection. (c2013)
Published 2016“…Classification has three main components: the classification algorithm, the pre-classified data (training data) and the un-classified data (testing data). …”
Get full text
Get full text
masterThesis -
126
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Published 2022“…These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …”
-
127
-
128
MDPF: Minimum Distance Packet Forwarding for Search Applications in Mobile Ad Hoc Networks
Published 2009“…This paper introduces a message forwarding algorithm for search applications within mobile ad hoc networks that is based on the concept of selecting the nearest node from a set of designated nodes. …”
Get full text
Get full text
Get full text
Get full text
article -
129
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. …”
Get full text
-
130
Public schools regrouping decision support system. (c1997)
Published 1997Get full text
Get full text
masterThesis -
131
Optimizing ADWIN for Steady Streams
Published 2022“…We evaluate our technique on the same data sets above and new datasets with fewer drifts. …”
Get full text
Get full text
Get full text
-
132
Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration
Published 0000“…The architecture and the algorithm were applied to both single stuck as well as transition fault test sets…”
Get full text
Get full text
article -
133
Benchmarking Concept Drift Detectors for Online Machine Learning
Published 2022“…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …”
Get full text
Get full text
Get full text
-
134
Scrambled Prime Key Encryption
Published 2018“…To enhance data security different cryptographic algorithms are used. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
135
High-order parametrization of the hypergeometric-Meijer approximants
Published 2023“…We also show that such extension of the hypergeometric resummation algorithm is able to employ non-perturbative information like strong-coupling and large-order asymptotic data which are always used to accelerate the convergence. …”
-
136
Performance Prediction Using Classification
Published 2019“…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …”
Get full text
-
137
A survey and comparison of wormhole routing techniques in a meshnetworks
Published 1997“…These multiprocessing systems consist of processing elements or nodes which are connected together by interconnection networks in various topologies. …”
Get full text
Get full text
article -
138
Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis
Published 2024“…</p><h3>Methods</h3><p dir="ltr">A prospective cohort study was conducted on neonates at NewYork-Presbyterian Brooklyn Methodist Hospital from 2014 to 2018, categorized by their BW/PW percentile. Missing data were imputed with principal component analysis. …”
-
139
-
140
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