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method algorithm » mould algorithm (Expand Search)
mining algorithm » cosine algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
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481
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. …”
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482
Clustering Tweets to Discover Trending Topics about دبي (Dubai)
Published 2018“…Then, creating a word vector to the tweets by using TF-IDF methodology. After this, log results into k- mean clustering algorithm with cosine similarity to measure similarity between objects of each cluster. …”
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483
An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation
Published 2001“…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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484
An evolutionary meta-heuristic for state justification insequential automatic test pattern generation
Published 2001“…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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485
An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM
Published 0000“…The algorithm makes a collective use of the data and channel constraints inherent in the communication problem. …”
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486
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. …”
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487
PERF solutions for distributed query optimization. (c1999)
Published 1999Get full text
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masterThesis -
488
A new estimator and approach for estimating the subpopulation parameters
Published 2021“…The criterion shows that the traditional total subpopulation estimator for unknown subpopulation size will be more efficient if the subpopulation mean is close to zero. Using an innovative procedure, we develop a new estimator, and we study its properties using real data. …”
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489
Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)
Published 2018“…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …”
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490
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. …”
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masterThesis -
491
Starvation Problem in CPU Scheduling for Multimedia Systems
Published 2002“…Multimedia applications have timing requirements that cannot generally be satisfied using the time-sharing algorithms of general-purpose operating systems. …”
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492
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. …”
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493
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. …”
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494
NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES
Published 2020“…Three years of data are used for model building and validation. …”
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495
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. …”
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496
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
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doctoralThesis -
497
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
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doctoralThesis -
498
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499
Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)
Published 2015“…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …”
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conferenceObject -
500
FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK
Published 2007“…Three years of data are used for model building and validation. …”
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