17 Result(s)
within
Chapter
Iqbal H. Sarker
Engineering
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Chapter and Conference Paper
Classifying Sentiments from Movie Reviews Using Deep Neural Networks
Sentiment analysis has become crucial for the building of opinion mining systems due to the daily creation, sharing, and transfer of massive volumes of data and opinions via the Internet and other media. The s...
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Chapter and Conference Paper
Detecting Smishing Attacks Using Feature Extraction and Classification Techniques
Phishing scams via SMS have become a common phenomenon due to the widespread use of smartphones and the availability of mobile Internet technologies. Identifying a phishing SMS via analyzing unstructured short...
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Chapter and Conference Paper
Automatic Malware Categorization Based on K-Means Clustering Technique
The android operating system is a popular operating system for mobile phone applications. This is also known as an open-source operating system so that the developers can easily update and add new features to ...
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Chapter and Conference Paper
Genetic Algorithm-Based Optimal Deep Neural Network for Detecting Network Intrusions
Computer network attacks are evolving in parallel with the evolution of hardware and neural network architecture. Despite major advancements in network intrusion detection system (NIDS) technology, most implem...
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Chapter and Conference Paper
SATLabel: A Framework for Sentiment and Aspect Terms Based Automatic Topic Labelling
In this paper, we present a framework that automatically labels latent Dirichlet allocation (LDA) generated topics using sentiment and aspect terms from COVID-19 tweets to help the end-users by minimizing the ...
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Chapter and Conference Paper
Spam Filtering of Mobile SMS Using CNN–LSTM Based Deep Learning Model
In our civilizations, SMS continues to be an arguable communication tool despite the rattling development of protocol–predicated messaging approaches. Some businesses consider SMS as superior to e-mails for it...
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Chapter and Conference Paper
InterPlanetary File System-Based Decentralized and Secured Electronic Health Record System Using Lightweight Algorithm
The electronic health record (EHR) system is a cloud-based patient health record in digital format that often includes contact information about the patient, test reports, medical history, and current and prev...
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Chapter and Conference Paper
iMedMS: An IoT Based Intelligent Medication Monitoring System for Elderly Healthcare
In recent years, the ageing population is growing swiftly and ensuring proper healthcare for the elderly and physically challenged people has gained much attention from academic, medical or industrial experts....
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Chapter and Conference Paper
Ransomware Family Classification with Ensemble Model Based on Behavior Analysis
Ransomware is one of the most dangerous types of malware, which is frequently intended to spread through a network to damage the designated client by encrypting the client’s vulnerable data. Conventional signa...
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Chapter
A Tale of Two Zones: Pandemic ERT Evaluation
During the COVID-19 pandemic, many educational institutes switched from in-person to all virtual classes. Few educational institutes were well prepared for emergency remote teaching (ERT), whereas many others ...
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Chapter and Conference Paper
An Effective Heart Disease Prediction Model Based on Machine Learning Techniques
This paper presents an effective heart disease prediction model through detecting the anomalies, also known as outliers, in healthcare data using the unsupervised K-means clustering algorithm. Most existing appro...
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Chapter and Conference Paper
Predicting Individual Substance Abuse Vulnerability Using Machine Learning Techniques
Substance abuse is the unrestrained and detrimental use of psychoactive chemical substances, unauthorized drugs, and alcohol. Continuous use of these substances can ultimately lead a human to disastrous conseq...
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Chapter and Conference Paper
Text Classification Using Convolution Neural Networks with FastText Embedding
Text classification has a growing interest among NLP researchers due to its tremendous availability on online platforms and emergence on various Web 2.0 applications. Recently, text classification in resource-...
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Chapter and Conference Paper
SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews
The amount of textual data generation has increased enormously due to the effortless access of the Internet and the evolution of various web 2.0 applications. These textual data productions resulted because of...
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Chapter and Conference Paper
Towards POS Tagging Methods for Bengali Language: A Comparative Analysis
Part of Speech (POS) tagging is recognized as a significant research problem in the field of Natural Language Processing (NLP). It has considerable importance in several NLP technologies. However, develo** a...
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Chapter and Conference Paper
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies
Cybersecurity has recently gained considerable interest in today’s security issues because of the popularity of the Internet-of-Things (IoT), the considerable growth of mobile networks, and many related apps. ...
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Chapter and Conference Paper
An Efficient K-Means Clustering Algorithm for Analysing COVID-19
COVID-19 hits the world like a storm by arising pandemic situations for most of the countries around the world. The whole world is trying to overcome this pandemic situation. A better health care quality may h...
