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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

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  • Predecting Bus Fitness Using CNN [PBFUC] 
    Bose, Hirak; Hossen, Md. Mosharof; Hasan, Rakibul (Daffodil International University, 2021-06)
    PBFUC (Predicting Bus Fitness Using CNN) may play a great role to reduce traffic accidents, classification of bus condition. Giving safe roads to people and overcoming from the rate of accidents due to fitness of bus, ...
  • Predict Popular Cosmetic Product on Online Platform Analyzing Bangali Review 
    Tumpa, Suzana Zannet; Khanam, Rifa Shanzida; Roy, Plaboni (Daffodil International University, 2021-05-31)
    Nowadays people of different ages are getting used to internet service in their daily life. It has become the most valuable source of getting information, generating ideas, reviews for a product and choosing the right ...
  • Predicting Chronic Kidney Disease Using Machine Learning Techniques 
    Latif, Abdul (23-01-29)
    The term “Chronic Kidney Disease” (CKD) is used in medicine to describe a number of disorders that result in kidney damage or a poor Glomerular Filtration Rate (GFR). Medical advancements in recent years have allowed ...
  • Predicting Depression Among the University Students in the Covid-19 Pandemic Situation Using Machine Learning Algorithms 
    Mojumdar, Hrithik; Asha, Afroza Rahman; Rahman, Mohammad Abdur (Daffodil International University, 2022-01-13)
    Depression is a very common word term. But the problem of depression is not normal. People think it is a disease but it is not a disease. This is a mental problem. People suffer from depression for various reasons. At ...
  • Predicting Depression Among University Students Using Machine Learning 
    Mowla, Sabiha (Daffodil International University, 23-01-18)
    Depression is a major disorder and a growing problem that impacts a person’s way of living, disrupting natural functioning and impeding thought processes while they might remain oblivious to the fact that they are suffering ...
  • Predicting Depression in Social Network Sites Using NLP 
    Hossain, Md. Tazmim; Talukder, Md. Arafat Rahman (Daffodil International University, 2021-09-09)
    Depression is an acute problem throughout the world, where more than 264 million people are suffering from it. Due to worst and prolong depression near around 800000 people dies in every year. The real problem is that ...
  • Predicting Foreign Language Anxiety Using Machine Learning Algorithm 
    Abdullahi, Mohamed Abdikafi (Daffodil International University, 23-01-18)
    The number of journeys people take to change their lives is rising, and in order for a person to be able to adapt to this openness and realize the value of his travels, it is crucial that he learn a language other than his ...
  • Predicting Game Addiction Using Machine Learning 
    Alam, Md.Sarwar (Daffodil International University, 23-01-18)
    The main purpose of the paper is to determine how online game affects different aspects of Bangladeshi university-going students’ life. To find out the ratio or addiction rate of gaming on these young generation or ...
  • Predicting Hepatitis C Virus Using Machine Learning 
    Akter, Shahida (Daffodil International University, 23-02-18)
    A virus that causes called hepatitis C damages and incites the liver. Enlargement triggered by inflammation happens whenever bodily parts are hurt and diseased. Body parts could be harmed by irritation. Most of the world's ...
  • Predicting non-melanoma skin cancer via a multi parameterized artificial neural network 
    Malo, Tapu Chandra (Daffodil International University, 2024-01-01)
    A significant and important part of our life is our health, and integrating computers into our daily lives has the potential to improve our health. Healthcare could undergo a radical change if a machine learning model ...
  • Predicting Online Extreme Religious Discourse Using Natural Language Processing Technique 
    Kaiser, Md. Salman; Mahin, Montasir Mahfuz; Jisan, Jihad Azad (Daffodil International University, 2021-01-14)
    In the current age innovation has become an indistinguishable piece of our life. Interpersonal interaction Site is an incredible advancement of current occasions. Facebook, Twitter and so forth have become an ordinary ...
  • Predicting Password Strength Based on Natural Language Processing Technique 
    Kabir, Ahsan (Daffodil International University, 22-08-01)
    Passwords provide the first line of defense against unauthorized access to your computer and personal information. Though there are many alternatives to passwords for access control, a password is the more compellingly ...
  • Predicting Potato Leaf Diseases with Convolutional Neural Networks 
    Islam, Md. Arafat (Daffodil International University, 2023-09-12)
    Early disease diagnosis in potato leaves is complicated by the wide range of crop types, agricultural disease signs, and environmental factors involved. These problems make it difficult to detect diseases in potato leaves ...
  • Predicting Stress Level in Online Education Due to Coronavirus Pandemic 
    Siddique, Sunzida; Baidya, Sajal (Daffodil International University, 2021-06)
    Education is one of the basic humans needs it is referred to as a country's backbone. Nowadays, Smart education technology has made the entire world smarter by the day. In just a few months, The Novel coronavirus (covid-19) ...
  • Predicting Student Performance to Reduce Dropout Using J48 Decision Tree Algorithm 
    Hasan, Md. Zahidul (Daffodil International University, 2019-12-06)
    Student dropout is a major problem that faces most of the Private University of Bangladesh. In Bangladesh, a huge number of student studies in private universities. But, almost one-third of students are dropped out in ...
  • Predicting the Depression Level of Excessive Use of Mobile Phone 
    Salehin, Imrus; Talha, Iftakhar Mohammad (Daffodil International University, 2021-05-31)
    In this research titled “Predicting the Depression Level of Excessive Use of Mobile Phone: Using Machine Learning Algorithm” which is applied advanced machine learning and regression analysis to find out the depression ...
  • Predicting the satisfaction level of mobile banking users of Bangladesh from social media sites using machine learning 
    Razzak, Shoaba (Daffodil International University, 2024-01-24)
    The research focuses on the prediction of customer satisfaction in the mobile banking industry in Bangladesh, using social media data collected with Google Forms. The 2608- entry dataset categorizes target attributes as ...
  • Predicting Tourist Spot by Using Machine Learning Approach 
    Roy, Pranta; Yeasmin, Farjana; Binti, Most Afrin Nahar (Daffodil International University, 2022-01-04)
    Tourism plays significant role for enhancing economic potential worldwide. The natural beauty and historical interests of Bangladesh remarked as a major tourist destination for the international tourists. In this study, ...
  • Predicting Water Pollution Caused by Glass Particles Using Machine Learning Techniques 
    Reyad, Md. Monir Hossain; Siddiki, Sabbir; Ahmed, Md. Kawshik (Daffodil International University, 23-01-29)
    Water is polluting with different glass particles in Bangladesh. Most of the glass manufacturing industries through their wastage in the river. Because of the indiscriminate release of some industrial, domestic, and ...
  • Prediction and Analysis of Flat Price in Dhaka Using Advanced Regression Techniques 
    Rafi, Fathe Muhammad (Daffodil International University, 23-01-18)
    Prediction of flat costs could be a crucial space of realty. The literature tries to extract relevant info from historical real estate market data. So as to seek out models that are useful to flat patrons and sellers, ...

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