Search alternatives:
developing based » developing a (Expand Search), developing 21st (Expand Search)
using algorithm » cosine algorithm (Expand Search)
could algorithm » mould algorithm (Expand Search), carlo algorithm (Expand Search), colony algorithm (Expand Search)
developing based » developing a (Expand Search), developing 21st (Expand Search)
using algorithm » cosine algorithm (Expand Search)
could algorithm » mould algorithm (Expand Search), carlo algorithm (Expand Search), colony algorithm (Expand Search)
-
621
Optimizing clopidogrel dose response
Published 2016“…A clinical-pharmacogenetic algorithm was developed based on whether clopidogrel shows 1) expected effect as per indication, 2) little or no effect, or 3) clinical features that patients experience and fit with clopidogrel adverse drug reactions. …”
Get full text
Get full text
Get full text
Get full text
article -
622
Positive Unlabelled Learning to Recognize Dishes as Named Entity
Published 2019“…I work with Yelp dataset, going through each text review, using each noun as a candidate, label the positive samples using the aforementioned lookup table, then using Positive Unlabelled learning techniques to recognise more entities within the unlabelled data, by predicting the probability for each candidate. …”
Get full text
-
623
NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES
Published 2020“…Three years of data are used for model building and validation. …”
Get full text
article -
624
A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM
Published 2020“…In this paper, we develop a new algorithm for solving this problem based on a tabu search technique. …”
Get full text
article -
625
A linear programming approach for the weighted graph matchingproblem
Published 1993“…The developed algorithm is compared to two other algorithms. …”
Get full text
Get full text
article -
626
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …”
-
627
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
Published 2019Get full text
doctoralThesis -
628
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
Published 2024Get full text
doctoralThesis -
629
Autonomous Demand-Side Management in the Future Smart Grid
Published 2016Get full text
doctoralThesis -
630
FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK
Published 2007“…Three years of data are used for model building and validation. …”
Get full text
article -
631
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. Several metaheuristics, such as the Genghis Khan Shark Optimizer Algorithm (GKSO), can assist in optimizing the FS issue. …”
Get full text
-
632
An aspect-oriented framework for systematic security hardening of software
Published 2008“…It is based on the full separation between the roles and duties of the security experts and the developers performing the hardening. …”
Get full text
Get full text
Get full text
masterThesis -
633
A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM
Published 2020“…The developed algorithm is compared to two other algorithms. …”
Get full text
article -
634
Competitive learning/reflected residual vector quantization for coding angiogram images
Published 2003“…Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. …”
Get full text
Get full text
article -
635
Tabu Search For A Class Of Single-Machine Scheduling Problems
Published 2020“…The performance of the developed algorithm is tested for solving the variance minimization problem. …”
Get full text
article -
636
A stochastic PID controller for a class of MIMO systems
Published 2017“…The development of the proposed algorithm is based on minimising a stochastic performance index. …”
Get full text
Get full text
Get full text
Get full text
article -
637
Information Warfare
Published 2015“…The algorithm is based on data dependency and uses a single matrix that will be later used during recovery.…”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
638
Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework
Published 2022“…After selecting the most appropriate lattice map (32 × 32) in 750,000 iterations using SOMs, the data points below the dark blue region are mapped onto the data frame to get the videos. …”
-
639
Low Cost Autopilot Design Using Fuzzy Supervisory Control
Published 2005Get full text
doctoralThesis -
640
Scatter search for homology modeling
Published 2016“…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject