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Browsing Faculty of Science and Information Technology by Title

Browsing Faculty of Science and Information Technology by Title

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  • Machine Learning Approach to Predict the Quality of Drinkable Water from Different Sources 
    Tuz Jahura, Fatema (Daffodil International University, 2024-01-01)
    Machine learning (ML) is revolutionizing the field of aquatic environment research by offering advanced tools for analyzing, classifying, and predicting data. This study delves into the use of ML algorithms, particularly ...
  • Machine Learning Approach to Predict Tomato Leaf Disease 
    Akter, Shumaya (Daffodil International University, 2023-09-02)
    The machine learning approach used in this thesis uses a large dataset of leaf photos and associated disease labels to predict tomato leaf diseases. A large number of tomato leaf photos, comprising both healthy and diseased ...
  • Machine Learning Based Approach for Predicting Diabetes in Young People of Bangladesh 
    Dipto, Prodipto Roy (Daffodil International University, 2021-05-31)
    Diabetes is one of the deadly chronic diseases that occurs when the sugar level in the blood increases abnormally due to the absence of insulin hormone. Untreated Diabetes could lead a human to his/her death. In Bangladesh, ...
  • Machine Learning Based Approach for Stroke Prediction 
    Afroze, Minara (Daffodil International University, 22-11-14)
    When a blood vessel that supplies the brain with oxygen and nutrients becomes blocked by a clot or breaks, a stroke happens. Nowadays, it is the most common cause of death in the entire world. Every four minutes, someone ...
  • A Machine Learning Based Approach to Predict Cervical Cancer 
    Omar, Jubail Hossain (Daffodil International University, 2024-01-01)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including cervical cancer disease, drawing considerable attention due to its impact on a large population. The severity of the ...
  • Machine Learning Based Depression Detection 
    Islam, Md. Mozahidul; Biswas, Saikat; Sarkar, Utpaul (Daffodil International University, 2022-01-04)
    Depression is a common disorder that causes constant mood swings and feelings of sadness. Nowadays It is considered to be a deadly disorder in the world. At present, everyone from young to old is suffering from depression ...
  • Machine Learning Based Depression Detection 
    Islam, Md. Mozahidul; Biswas, Saikat; Sarkar, Utpaul (Daffodil International University, 2022-01-04)
    Depression is a common disorder that causes constant mood swings and feelings of sadness. Nowadays It is considered to be a deadly disorder in the world. At present, everyone from young to old is suffering from depression ...
  • Machine Learning Based Depression Detection 
    Islam, Md. Mozahidul; Biswas, Saikat; Sarkar, Utpaul (Daffodil International University, 2022-01-04)
    Depression is a common disorder that causes constant mood swings and feelings of sadness. Nowadays It is considered to be a deadly disorder in the world. At present, everyone from young to old is suffering from depression ...
  • Machine Learning Based Heart Disease Prediction 
    Ahmed, Md. Sabbir; Alam, Farhina; Moitri, Neshat Tasnim (Daffodil International University, 2021-05-24)
    The heart is the most valuable muscular organ in living organisms. In our country, Now people are more sensible about their heart. A healthy heart is an interior to aggregate good health. The heart needs to care for ...
  • Machine Learning Based Intelligent Recommendation System Development for Stepping up Programming Skill 
    Ahammed, Nesar; Ahammed, Foysal (Daffodil International University, 2020-07-19)
    Programming online judges (POJs) are an emerging application scenario in e-learning recommendation areas. Specifically, they are e-learning tools usually used in programming practices. Usually, they contain a large ...
  • Machine Learning Based Phishing Website Detector 
    Sobur, Sayed Abdus (Daffodil International University, 23-01-18)
    Cyber-attacks have increased in number along with the growth of online services. Phishing, in which attempts are made to steal confidential information by pretending to be a legitimate source, is one of the most prevalent ...
  • Machine learning based prediction of Dengue Risk Zones In Bangladesh based on weather data 
    Ahmed, K. M Riyad (Daffodil International University, 2024-01-01)
    This work proposes a unique method for identifying dengue risk zones in Bangladesh using machine learning algorithms and large weather data. Dengue fever, a mosquito-borne illness that is common in tropical areas, has a ...
  • Machine Learning Based Sentiment Analysis on Movie Reviews 
    Rahman, A. A. Md. Minhajur (Daffodil International University, 22-09-13)
    Sentiment analysis is a recent area of research where vast amounts of data are analyzed to offer insightful information about a particular subject. It is a strong instrument that can benefit organizations, customers, and ...
  • Machine Learning Based Skin Disease Classification 
    Bhuiyan, MD. Zayed Hassan; Monshi, MD. Tamjeed (Daffodil International University, 23-02-18)
    Skin is the most sensitive and the largest organ in our body. Globally more than 35 million people are regularly affected by many types of skin-related diseases. Skin disease is too much danger in Bangladesh for people's ...
  • Machine Learning Based Slow Learner Prediction in Educational Sector 
    Ela, Nurun Nahar (Daffodil International University, 2021-06-03)
    The educational sector has been proved to be a sector where improvement measures are a must to improve the system, the curriculum which changes every few years, student’s state in order to cope with the changing curriculum ...
  • Machine Learning For Environmental Monitoring 
    Toma, Tamanna Kabir (Daffodil International University, 2024-01-20)
    This thesis discusses machine learning transformations in environmental contexts using a dataset that contains information about both historical and current environments. The dataset, which spans the years 2013 to 2022, ...
  • Machine Learning for Health informatics in the field of Diabetics 
    Hossain, Faria (Daffodil International University, 2019-01-01)
    With a huge deluge of multi-functional information, the job of information investigation in health care informatics has developed quickly in the most recent decade. This has additionally incited expanding premiums in the ...
  • Machine learning model for predicting insomnia levels among university students 
    Hasneen, Jessica (Daffodil International University, 2024-01-01)
    Insomnia is a common and concerning issue among university students that can have a significant impact on their academic performance, physical and mental health. Early detection and treatment of insomnia is important to ...
  • Machine Learning Modeling for Car Selling Price Prediction 
    Al Mamun, Abdullah; Abdullah, Fatema; Afroz, Sanjida (Daffodil International University, 23-01-18)
    Forecasting car prices using machine learning (ML) refers to the use of ML algorithms and techniques to make assumptions of the future price of a car. This can be useful for a variety of purposes, such as helping car ...
  • Machine Learning Modeling for Cow Price Prediction 
    Alam, A.K.M Tasnim; Nirob, Zahid Hasan; Urme, Afrin Jahan (Daffodil International University, 23-01-18)
    A cow is a crucial daily supply of food, nutrition, much-needed money, and nitrogen-rich manure for regenerating soils and other uses. They also take on many different societal roles. The main reason cows are raised as ...

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