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deer algorithm » search algorithm (Expand Search)
developing rd » developing a (Expand Search), developing _ (Expand Search)
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rd algorithm » _ algorithms (Expand Search)
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1
A PARALLEL AND DISTRIBUTED FRAMEWORK FOR IMPLEMENTING BACK PROPAGATION ALGORITHM IN BIG DATA
Published 2020Get full text
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masterThesis -
2
Information warfare recovery-fighting back through the matrix. (c2012)
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masterThesis -
3
Application of Red Deer Algorithm in Optimizing Complex functions
Published 2021“…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …”
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4
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
Published 2024“…Then, the DRF optimization algorithm is applied to optimally tune the features required for accurate intrusion detection and classification. …”
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5
A Hash-Based Assessment and Recovery Algorithm for Distributed Healthcare Systems Using Blockchain Technology
Published 2020“…Here rises the need for an algorithm that can assess the damage that occurred before recovering the database back to its consistent state. …”
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masterThesis -
6
A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
Published 2022“…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …”
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7
Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles
Published 2024“…The MLNN observer, employing a modified back-propagation algorithm, is used for the quadrotor’s state estimation. …”
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8
A hybrid graph representation for recursive backtracking algorithms
Published 2017“…The use of efficient data structures is necessary for fast graph modification modules as well as fast take-back procedures. …”
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conferenceObject -
9
Evolutionary algorithm for predicting all-atom protein structure
Published 2011“…We evaluate our algorithm on proteins taken from a Protein Data Bank. …”
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conferenceObject -
10
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
Published 2019Get full text
doctoralThesis -
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12
Information reconciliation through agent controlled graph model. (c2018)
Published 2018“…Even though prevention techniques exist, they’re not enough to fully secure the data from malicious activities. Thus, the need for a detection and recovery algorithm to assess the damage and bring the database back to its consistent state in case of an attack. …”
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masterThesis -
13
Computer-aided detection of Melanoma using geometric features
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conferenceObject -
14
Video features with impact on user quality of experience
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conferenceObject -
15
Information Warfare
Published 2015Get full text
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conferenceObject -
16
Transaction Dependency Based Approach for Database Damage Assessment Using a Matrix
Published 2017“…Hence, both affected and benign transactions will be rolled back, which is a waste of time. This paper presents an algorithm that works efficiently to assess the damage caused in the database by malicious transaction and recovers it. …”
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17
PERF solutions for distributed query optimization. (c1999)
Published 1999Get full text
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masterThesis -
18
Neural network-based failure rate prediction for De Havilland Dash-8 tires
Published 2006“…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …”
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19
NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES
Published 2020“…One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. …”
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20
Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique
Published 2006“…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. …”
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