A5060056133- Tuberculosis Research and Epidemiology
- Smart Agriculture and AI
- Pneumonia and Respiratory Infections
- Network Security and Intrusion Detection
- Spam and Phishing Detection
- Advanced Malware Detection Techniques
- Refrigeration and Air Conditioning Technologies
- Spectroscopy and Chemometric Analyses
- COVID-19 diagnosis using AI
- HIV/AIDS Impact and Responses
- Radiomics and Machine Learning in Medical Imaging
- Genomics and Phylogenetic Studies
- Diverse Scientific Research Studies
- Satellite Communication Systems
- Image Retrieval and Classification Techniques
- Internet Traffic Analysis and Secure E-voting
- Chromosomal and Genetic Variations
- AI in cancer detection
- Genetic diversity and population structure
- Sentiment Analysis and Opinion Mining
- Cybercrime and Law Enforcement Studies
- Indoor and Outdoor Localization Technologies
- Machine Learning and Data Classification
- Advanced Wireless Communication Techniques
- Customer churn and segmentation
Bangladesh University of Business and Technology
2023-2025
Directorate General of Health Services
2023-2024
Bangladesh University of Engineering and Technology
2024
Ministry of Health and Family Welfare
2020-2023
Ahsanullah University of Science and Technology
2022
University of Information Technology and Sciences
2019
Background In Bangladesh, about 80% of healthcare is provided by the private sector. Although free diagnosis and care offered in public sector, only half estimated number people with tuberculosis are diagnosed, treated, notified to national program. Private sector engagement strategies often have been small scale time limited. We evaluated a Social Enterprise Model combining external funding income generation at three screening centres across Dhaka Metropolitan Area for diagnosing treating...
In the domain of modern deep learning and classification techniques, convolutional neural network (CNN) stands out as a highly successful preferred method for image in artificial intelligence. Especially medical field, CNN has proven to be an ideal approach analyzing data accurately identifying diseases. Over recent years, demonstrated significant potential success various computer vision tasks, with being one prominent applications. our study, we introduce novel custom model called MedvCNN,...
The United Nations high-level meeting (UNHLM) pledged to enroll 30 million in tuberculosis preventive treatment (TPT) by 2022, necessitating TPT expansion all at (TB) risk. We assessed the uptake and completion of a 12-dose, weekly isoniazid-rifapentine (3HP) regimen.
Background: The UNHLM pledged to enroll 30 million in TB preventive treatment (TPT) by 2022, necessitating TPT expansion all at risk. We assessed uptake and completion of a 12-dose, weekly isoniazid-rifapentine (3HP) regimen. 
 Methods: Between February 2018 - March 2019 Dhaka, community-based using 3HP targeted household contacts 883 confirmed drug-sensitive pulmonary patients. Adhering WHO guidelines, underwent active screening before initiation. Results: Of 3,193 who advised health...
In our daily lives, newspapers and online news portals have become ubiquitous. These provide us with information on global events. Of all the available in newspapers, crime is most significant. People read this kind of sincerity considerable curiosity. We a lot Bangla sources, but we didn't find any that was categorized. Perhaps categorizing would be helpful for readers. Therefore, decided to work Bengali classification, which will big influence community. However, from newspaper headlines...
Recent times have witnessed a very significant increase in the use of electronic commerce all over world. The fact that sales been steadily climbing demonstrates there is massive untapped market potential for online shopping. process analysing data to determine and categorise intentions shoppers contributes accumulation store earnings. application machine learning classification models collected from e-commerce websites main goal our endeavours. Specifically, We investigate whether reliable...
The prevalence of cyber security threats stemming from rogue URLs is widespread. A malicious URL contains phishing and spam to initiate assaults. Such websites attract innocent people who fall for frauds like identity theft financial loss. must be identified addressed promptly. main goal this research create a machine-learning-based detection system. method uses Extreme Gradient Boosting, Categorical Decision Trees, Random Forest, Extra Boosting others detect hazardous URLs. process begins...
Introduction Bangladesh is committed to achieving the SDG target of ending tuberculosis epidemic and UHC by 2030. To inform policy program decision-making, this nationwide sero-survey HIV among patients was conducted. Methods The cross-sectional survey utilized a two-stage probability proportional size (PPS) systematic random sampling technique for selected TB reporting centers (TRCs) from June 2020 December 2021. estimated 12,065 diagnosed patients, according NTP diagnostic algorithm,...
Nowadays, it is very important to secure our home perfectly. To make life easier and more secure, we are presenting smart door lock system project. We implement an IoT-based using ESP32-CAM Android application in this Most of the time daily life, forget doors later suffer from confusion about whether locked all perfectly or not. In project, a system, by which owner can see visitor's picture then unlock their anywhere at any application. Whenever visitors come visit press doorbell, will...
An analytical evaluation of Bit Error Rate (BER) performance considering the effect cross-polarization under 4×4 polarization diversity MIMO (Multiple Input Multiple Output) from satellite to ground is modeled. The BER equation derived using Rician k-factors and SINR (Signal Interference plus Noise Ratio). A comprehensive simulation performed for evaluating performance, Receiver sensitivity power penalty in four areas namely Open Area (OA), Sub-urban Area(SA), Urban Area(UA),...
Determination of starting and running torque numerically, including all mechanical components taking the gas pressure increases with reciprocation piston to TDC rotation crankshaft considering possible losses contact modeling is major contribution this research. This article can be a valuable resource for determination maximum motor while designing new compressor models as should have capability achieve rated within shortest time because experimental systems measure kits frictional by...
Hospital mortality in ICU patients of Bangladesh suffering from severe sepsis, which is significantly higher than countries reported. Binary logistic regression model important clinical variable will use for this study to predict the category fatal outcome and need Intensive Care Support (ICU) during hospital stay. The aim was achieve accurate prediction sepsis by using binary model. This carried out Department Medicine, Dhaka Medical College (DMCH) January 2015 December 2015.We select 100...
Bangladesh is committed to achieving the SDG target of ending tuberculosis epidemic and UHC by 2030. To inform policy program decision-making, this nationwide sero-survey HIV among patients was conducted. The cross-sectional survey utilized PPS-systematic random sampling during June 2020 December 2021. Respondents' sociodemographic other required information were collected through face-to-face interviews record reviews using smart TAB. With strict cold chain maintenance aseptic precautions,...
Bangladesh, a developing country, faces various challenges that hinder its progress. One significant issue is the high crime rate, along with lower resilience score on global peace scale compared other Asian countries. This study investigates underlying factors contribute to armed conflict in Bangladesh. Key questions were explored, such as identifying regions most affected by conflicts, understanding involvement of different actors these and events, predictive models for fatality rates...
An intelligent agricultural system is considered a crucial aspect of the modern world. Deep learning most popular and extensively tested approach to developing artificial intelligence. The development agriculture through application deep techniques topic significant interest. models, especially those based on convolutional neural networks (CNNs), have been employed for precision agriculture. In our study, we investigate impact six distinct augmentation limited dataset. We manually gathered...
In an era of ubiquitous connectivity and enterprise digital transformation, network security against increasing cyber threats is crucial. Network Security Intrusion Detection Systems (NSIDS) are essential for security. Traditional rule-based IDS struggles to keep up with cyberattacks changing terrain. This research integrates advanced Machine Learning (ML) Deep (DL) Various strategies enhance or optimize NSIDS intrusion detection mitigation. study evaluates multiple ML DL models using the...
The performance of household refrigerator compressor depends mainly on the mass flow rate through reed valves. suction and discharge valve leaves are designed to trap deliver refrigerant respectively during each piston movement cycle. Therefore, edge radius is a vital parameter that affects rate, structural performance, fatigue life. In this research, effects different radii leaf for materials have been determined with static analysis. Additionally, natural frequency has modal analysis free...