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1
Classification of gram-positive and gram-negative bacterial images based on machine learning algorithm
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2
Classification of metamorphic virus using n-grams signatures
Published 2020“…Then, the virus cluster is evaluated using Naïve Bayes algorithm in terms of accuracy using performance metric. …”
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3
Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…The method employs Semantic Tags Extraction (STSE) algorithm to extract semantic tags of an element and Element Enrichment (EERM) algorithm to enrich the elements. …”
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4
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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5
Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction
Published 2022“…Next, a deep convolutional neural network method was utilised to detect phishing URLs. It was used to constitute words or n-grams in order to extract higher-level features. …”
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6
Bacteria identification via Artificial Neural Network based-on Bergey’s manual
Published 2017“…Levenberg Marquardt algorithm based Feed-forward backpropagation with Multilayer perceptron type of ANN was used in the training and learning sessions of the ANN development in order to obtain high accuracy simulation results within short period of time.…”
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7
Application of artificial neural network in bacteria identification based on Bergey’s manual: Hydrogenophilaceae family: article
Published 2017“…Levenberg Marquardt algorithm based Feedforward backpropagation with Multilayer perceptrons type of ANN was used in the training and learning sessions of the ANN development in order to obtain high accuracy simulation results. within short period time.…”
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8
Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…The accuracy of each algorithm was evaluated using LibSVM, Bayes network, and Adaboost classifier. …”
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9
Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study
Published 2018“…Methods: For experiments, the autopsy reports belonging to eight different causes of death were collected, preprocessed and converted into 43 master feature vectors using various schemes for feature extraction, representation, and reduction. …”
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10
Semi-supervised learning for sentiment classification with ensemble multi-classifier approach
Published 2022“…The research went through pre-processing, vectorization, and feature extraction using TF-IDF and n-grams. Support Vector Machine (SVM) or Random Forest for tokenization was used to separate unigram, bigram, and trigram in model generation. …”
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11
Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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12
Feature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba
Published 2018“…In the ATC technique, feature engineering is a highly important step because the success or failure of any ATC model is heavily dependent on the quality of the features used in the classification task. In ATC, the traditional feature engineering techniques include bag of words (BoW) and n-gram. …”
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13
Computational stylometric model for oath and oath-like expressions in Quranic text
Published 2014“…For this, we performed additional stylometric analysis using syntactic and lexical features. Syntactic features enable us to extract a new feature based on the rewrite rule frequencies. …”
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