• IDENTIFICATION OF DDOS ATTACKTHROUGH INTRUSION DETECTION MODELUSING ENSEMBLEMACHINELEARNING 

  ANIS, ADEEBA (2024-01)

  A distributed denial of service (DDoS) attack targets at hindering authorized individu als from accessing a server or website by flooding it with traffic from many sources. To avoid a DDoS attack from damaging the target ...
• DEVELOPMENTOFANIOTANDBLOCKCHAIN INTEGRATED VERTICALFARMINGSYSTEM 

  MD.MUNIM, KAZI (2024-03)

  The demand for sustainable and efficient procedures to produce safe food is increasing due to ongoing global challenges like population growth, resource deficiency, climate change, andglobal warming. Thusvertical ...
• ISCHEMIC STROKELESIONSEGMENTATIONFROM DIFFUSION-WEIGHTED MRI USINGDEEPENSEMBLE LEARNING 

  HALDER, RATHIN (2024-09)

  Strokes are a leading cause of premature mortality in developed and developing countries, and early treatment assistance can significantly prolong a patient’s life. How quickly the lesion is determined from MRI images ...
• TRANSFORMERANDPOSEGRAMMARBASEDDEEP NEURALNETWORKFOR3DHUMANPOSE ESTIMATION 

  SULTANA, ZINIA (2024-03)

  For computers to understand human activity or behavior in a variety of scenarios, reli able 3D human posture estimation is a prerequisite. A number of difficulties have made such work more complex as it is influenced ...
• DEVELOPMENT OF A PREDICTION SYSTEM FOR HOUSEHOLD ELECTRICITY CONSUMPTION IN DHAKA CITY 

  MUAZ, MD. MEHEDI HASAN (2024-03)

  In today's modern world, electricity plays a crucial role in everyday life, serving as an essential resource for various activities. With uninterrupted access to electricity being a top priority for nations worldwide, ...
• DEVELOPMENT OF A FUZZY INFERNENCE SYSTEM BASED WEB APPLICATION FOR EARLY PREDICTION OF CORONAVIRUS DISEASE 

  KABIR, ANUSHA (2024-03)

  COVID-19 or Coronavirus is the most crucial health crisis of present times globally. Starting from China every part of the world has fallen a victim to this pattern changing, life taking virus. Due to its high ...
• VISION TRANSFORMER-BASED DEEP LEARNING TECHNIQUES FOR IMPROPER FACE MASK-WEARING DETECTION 

  A. S. M. MUNTAHEEN (2024-03)

  COVID-19 pandemic causes a global catastrophe that remarkably affects individual lives and society, as well as the economy. The world has taken numerous defenses against this contagious disease and using face masks is ...
• DEVELOPMENT OF AN EYE TRACKING AND ON-SCREEN POINTING SYSTEM FOR PHYSICALLY IMPAIRED PEOPLE 

  ANNATOMA ISLAM, KHANDAKER (2024-03)

  Eye tracking has become a popular field of research recently. It is not only getting more advanced but also giving rise to new research fields like eye tracking in neuro-architecture, e-sports etc. This project is a ...
• DEVELOPMENT OF A STROKE PREDICTION SYSTEM BASED ON IOT AND MACHINE LEARNING 

  REFAT, SABEKUN NAHAR (2024-03)

  Stroke is one of the leading causes of disability in many Asian countries, with low and middle-income countries bearing a higher burden of mortality. Worldwide Cerebrovascular accidents (stroke) are the second leading ...
• MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES 

  RAHMAN, MD. MOKHLESUR (2024-01)

  Lung cancer ranks as the second most prevalent form of cancer worldwide, resulting in thousands of deaths annually. Nevertheless, the mortality rate can be mitigated by enhancing early detection and successful treatment, ...
• USABILITY AND ACCESSIBILITY ASSESSMENT OF MOBILE FINANCIAL SERVICE APPLICATIONS IN BANGLADESH 

  KABIR, MD LUTFUL (2024-02)

  Mobile Financial Service (MFS) refers to the use of mobile phones to access and execute financial transactions. In recent times, the rapid proliferation of information technology in daily life has led to a significant ...
• DEVELOPEMNT OF AN IOT BASED IRRIGATION SYSTEM FOR ROOF-TOP FARMING 

  AL RAZI, ABDULLAH (Department of Computer Science and Engineering, MIST, 2023-03)

  Urban gardening, especially rooftop farming, has become increasingly popular due to the limited space available in cities. However, rooftop farmers face the challenge of providing adequate water to their plants. To address ...
• DEVELOPMENT OF AN IOT-BASED ENVIRONMENT MONITORING SYSTEM FOR AIR AND SOUND POLLUTION 

  ARA, FATIMA (Department of Computer Science and Engineering, MIST, 2023-03)

  The rapid industrialization and urbanization have led to an increase in air and sound pollution, which poses a severe threat to public health and the environment. The development of an IoT-based environment monitoring ...
• DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS 

  AHMED, FERJANA (Department of Computer Science and Engineering, MIST, 2023-03)

  Machine learning (ML) and the use of data mining techniques are increasingly important in real-world situations. Every industry, including education, healthcare, engineering, sales, entertainment, and transportation, is ...
• DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS 

  SALEM ABO EYADA, SHADIA TALAL (Department of Computer Science and Engineering, MIST, 2023-01)

  Fruits play a crucial role in our diet as they contain nutrients that are vital for our health. These nutrients are important as they help us protect against chronic diseases. Fruits that are not fresh will not contain ...
• DESIGN AND ANALYSIS OF LOW POWER MINIATURE TYPE ULTRA WIDE BAND TRANSMITTER FOR MEDICAL APPLICATION 

  AKTER, SHANJIDA (Department of Electrical, Electronic and Communication Engineering, MIST, 2022-10)

  Recently, there has been a surge in demand for biomedical devices that can continuously monitor essential life indicators including heart rate variability (HRV) and breathing rate etc. This ideal device would be small, ...
• DEVELOPMENT OF A TASK MANAGEMENT SYSTEM FOR SMALL AND MEDIUM SIZED SOFTWARE ENTERPRISES 

  MAJUMDER, CHANPA (Department of Computer Science and Engineering, MIST, 2022-09)

  Task Management System (TMS) is a web application for small and medium-sized enterprises which can be used to organize, assign and manage tasks among its employees. This project has various sub-modules such as commenting ...
• DEVELOPMENT OF A HUMAN RESOURCE MANAGEMENT SYSTEM FOR SMALL SCALE SOFTWARE COMPANY 

  RAFIN, SANJIDA (Department of Computer Science and Engineering, MIST, 2022-09)

  Every organization has its own human resources department to carry out both internal and external human resource functions. The most important responsibility for any HR is managing the human capital, or the workers, out ...
• PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS’ SYMPTOM DATA AND OVARY ULTRASOUND IMAGES 

  ALAM SUHA, SAYMA (Department of Computer Science and Engineering, MIST, 2022-12)

  Polycystic ovary syndrome (PCOS) is the most prevalent endocrinological abnormality & one of the primary causes of anovulatory infertility in women globally. The real-world clinical PCOS detection technique is critical ...
• BLOCKCHAIN BASED FRAMEWORK FOR PREVENTING MEDICINE COUNTERFEIT IN CONTEXT OF BANGLADESH 

  ISLAM, IYOLITA (Department of Computer Science and Engineering, MIST, 2022-09)

  Medicine counterfeit has raised a major concern in recent years since it has become so widespread. Falsified and counterfeit drug production and distribution are not only illegal but also a public health concern. The ...

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