Samrat Kumar Dey
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View article: An Intelligent Assistive System for Autistic Learners
An Intelligent Assistive System for Autistic Learners Open
This study presents the design and implementation of an educational assistive system tailored for individuals with Autism Spectrum Disorder (ASD), leveraging eye‐tracking technology and machine learning algorithms. The objective is to supp…
View article: FetalDenseNet: multi-scale deep learning for enhanced early detection of fetal anatomical planes in prenatal ultrasound
FetalDenseNet: multi-scale deep learning for enhanced early detection of fetal anatomical planes in prenatal ultrasound Open
Objectives The study aims to improve the classification of fetal anatomical planes using Deep Learning (DL) methods to enhance the accuracy of fetal ultrasound interpretation. Methods Five Convolutional Neural Network (CNN) architectures, …
View article: Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Federated Learning and SHAP
Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Federated Learning and SHAP Open
An intrusion detection system (IDS) is a crucial element in cyber security concerns. IDS is a safeguarding module that is designed to identify unauthorized activities in network environments. The importance of constructing IDSs has never b…
View article: Evaluating the efficacy and site-specific performance of machine learning approaches: A comprehensive review of autism detection models
Evaluating the efficacy and site-specific performance of machine learning approaches: A comprehensive review of autism detection models Open
As autism diagnoses rise globally, it is important to find a better approach for early and effective prediction. The primary objectives are to identify the models that provide the optimum balance of accuracy while taking age and data type …
View article: Federated XAI IDS: An Explainable and Safeguarding privacy Approach to Detect Intrusion Combining Federated Learning and SHAP
Federated XAI IDS: An Explainable and Safeguarding privacy Approach to Detect Intrusion Combining Federated Learning and SHAP Open
Intrusion Detection Systems (IDS) are crucial module of cybersecurity which is designed to identify unauthorized activities in network environments. Traditional IDS, on the other hand, have a number of problems, such as high rates of inacc…
View article: Factors influencing health promotion behavior on puerperal sepsis among postpartum mothers
Factors influencing health promotion behavior on puerperal sepsis among postpartum mothers Open
Puerperal sepsis is accountable for maternal death worldwide. The health promotion behaviour of postpartum mothers may contribute to preventing puerperal sepsis, which would promote maternal health. The study aims to identify the factors i…
View article: Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach
Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach Open
Asphyxia, a critical respiratory condition, poses significant risks to newborns and can lead to catastrophic outcomes. Early detection of asphyxia is crucial for reducing infant mortality rates. Traditional medical diagnosis methods can be…
View article: Recurrent neural network based multiclass cyber bullying classification
Recurrent neural network based multiclass cyber bullying classification Open
Cyberbullying is one of the crimes that arise rapidly through the daily use of technology by different types of people and, most notably, by sharing one’s opinions or feelings on social media in a harmful manner. It has several negative ef…
View article: An ensemble machine learning-based approach to predict cervical cancer using hybrid feature selection
An ensemble machine learning-based approach to predict cervical cancer using hybrid feature selection Open
Cervical cancer has recently emerged as the leading cause of premature death among women. Around 85% of cervical cancer cases occur in underdeveloped countries. There are several risk factors associated with cervical cancer. This study des…
View article: An analysis of morphological and genetic diversity of mango fruit flies in Pakistan
An analysis of morphological and genetic diversity of mango fruit flies in Pakistan Open
Fruit flies of genus Bactrocera are important insect pests of commercially cultivated mangos in Pakistan limiting its successful production in the country. Despite the economic risk, the genetic diversity and population dynamics of this pe…
View article: A hybrid approach with customized machine learning classifiers and multiple feature extractors for enhancing diabetic retinopathy detection
A hybrid approach with customized machine learning classifiers and multiple feature extractors for enhancing diabetic retinopathy detection Open
Diabetic retinopathy (DR) is a severe global issue causing blindness if untreated, affecting millions worldwide and worsening over time. Addressing this growing concern necessitates early and accurate DR identification. This study introduc…
View article: Federated Deep Learning for Monkeypox Disease Detection on GAN-Augmented Dataset
Federated Deep Learning for Monkeypox Disease Detection on GAN-Augmented Dataset Open
After the coronavirus disease 2019 (COVID-19) outbreak, the viral infection known as monkeypox gained significant attention, and the World Health Organization (WHO) classified it as a global public health emergency. Given the similarities …
View article: Machine Learning-Based Opinion Spam Detection: A Systematic Literature Review
Machine Learning-Based Opinion Spam Detection: A Systematic Literature Review Open
The substantial upsurge in Web 2.0 deployment allows a large number of consumers to share their opinions with potential consumers and producers through product and service review platforms. Customer decision-making relies on an important a…
View article: Feature Selection based Performance Analysis of Machine Learning Algorithms in Network Intrusion Detection
Feature Selection based Performance Analysis of Machine Learning Algorithms in Network Intrusion Detection Open
Information and data security is one of the most challenging tasks for the massive-scale digital revolution all over the world. The very first step to secure our data is to identify invasive conduct and intrusive behavior. However, due to …
View article: Artificial Intelligence Based Domotics Using Multimodal Security
Artificial Intelligence Based Domotics Using Multimodal Security Open
All electronic devices in our cutting-edge technology world must be networked together via the Internet if users want to have remote access to them. As a result, it may raise a variety of serious security issues. This study suggests a remo…
View article: <scp>XML‐LightGBMDroid</scp>: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis
<span>XML‐LightGBMDroid</span>: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis Open
Nowadays, breast cancer detection and diagnosis are done using machine learning algorithms. It can enhance cancer understanding and help in treatment selection and diagnosis. But many reliable decision assistance systems have been develope…
View article: Cognitive complexity: A model for distributing equivalent programming problems
Cognitive complexity: A model for distributing equivalent programming problems Open
ObjectiveTo build a complexity model which will assist the facilitator allocating the programming problems among the learners by preserving the equivalent level of difficulty.Figure 3. DFD of Proposed Model for Equivalent Problem Distribut…
View article: Machine learning-based diagnosis of breast cancer utilizing feature optimization technique
Machine learning-based diagnosis of breast cancer utilizing feature optimization technique Open
Breast cancer disease is recognized as one of the leading causes of death in women worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops from breast cells. Developed and less developed countries both are s…
View article: XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer
XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer Open
Lung cancer has been the leading cause of cancer-related deaths worldwide. Early detection and diagnosis of lung cancer can greatly improve the chances of survival for patients. Machine learning has been increasingly used in the medical se…
View article: Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset
Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset Open
Nowadays, one of the most important illnesses is a heart disease which causes most patients dead. The medical diagnosis of heart disease is quite difficult. This diagnosis is a challenging process that requires accuracy and efficiency. The…
View article: SentiTAM: Sentiments centered integrated framework for mobile learning adaptability in higher education
SentiTAM: Sentiments centered integrated framework for mobile learning adaptability in higher education Open
Online communities provide facilities to share public opinions and or sentiments on a wide range of subjects, from routine topics to vital issues of critical interest. Nowadays, many higher education institutions (HEIs) recognize the value…
View article: Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease
Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease Open
Early detection and characterization are considered crucial in treating and controlling the chronic renal disease. Because of the rising number of patients, the high risk of progression to end-stage renal disease, and the poor prognosis of…
View article: A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach
A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach Open
Stroke is the third leading cause of death in the world. It is a dangerous health disorder caused by the interruption of the blood flow to the brain, resulting in severe illness, disability, or death. An accurate prediction of stroke is ne…
View article: Hospital patients’ length of stay prediction: A federated learning approach
Hospital patients’ length of stay prediction: A federated learning approach Open
Predicting patient's length of stay (LOS) is a crucial determinant for hospitals to maintain resource efficiency and quality treatment, where machine learning-based predictive approaches can be extremely beneficial. Though the healthcare i…
View article: Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach
Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach Open
Dengue fever is a severe disease spread by Aedes mosquito-borne dengue viruses (DENVs) in tropical areas such as Bangladesh. Since its breakout in the 1960s, dengue fever has been endemic in Bangladesh, with the highest concentration of in…
View article: Epidemic trend analysis of <scp>SARS‐CoV</scp> ‐2 in South Asian Association for Regional Cooperation countries using modified susceptible‐infected‐recovered predictive model
Epidemic trend analysis of <span>SARS‐CoV</span> ‐2 in South Asian Association for Regional Cooperation countries using modified susceptible‐infected‐recovered predictive model Open
A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is now producing outbreaks in more than 200 countries around the world, and became pandemic by the time. In this article, a modified version of …
View article: DengueBD
DengueBD Open
DengueBD Dataset contains the data of different parameters (Rainfall, Maximum Temperature, Humidity, and Number of Patients) for the 11 different cities of Bangladesh from the year of January 2011 to July 2021.