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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

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  • 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, ...
  • Prediction Covid-19 Possibility with Comorbidity and Recursive Feature Engineering 
    Islam, Md. Shojol (Daffodil International University, 2021-01-31)
    People of the whole world are now just stopped because of the corona virus. People are became helpless regarding COVID-19. We forgot living our everyday life. Most people are not aware that they are suffering from ...
  • Prediction Divorce Prospect using Machine Learning Methods: A Case Study on Bangladesh 
    Mukta, Sherin Tasnim (Daffodil International University, 23-01-18)
    In this paper, we suggest a system for predicting divorce and use the Divorce Predictors Scale to evaluate it (DPS). The DPS is a 40-item self-report questionnaire based on Gottman couple's therapy, which could be used as ...
  • Prediction for the Risk of Oral Cancer Based on the General External Factors 
    Juthi, Rawnak Jahan; Shawon, A S M Noor Ud Doha; Hasan, Md Kamrul (Daffodil International University, 2020-07-01)
    The cancer of surface on mouth is grown in men as well as women. Oral fatality rate is an average of 13%. In the world about 657,000 oral cavity and pharynx new cases are appeared and about 330,000 deaths every year [1]. ...
  • Prediction Model for a Student to Find Best Department of Undergraduate Admission 
    Hasan, Md. Showal; Al-Amin, Md.; Taleb, Md. Abu (Daffodil International University, 2020-10-12)
    Our research title is "Prediction model for a student to find best department of undergraduate admission". We have used SPSS statistical platform for storing data and we have use WEKA to find out best algorithm model for ...
  • Prediction of Agoraphobia Disease Based on Machine Learning Techniques 
    Intia, Israt Jahan; Ferdous, Khondoker Sangida; Hridoy, Nahid Hasan (Daffodil International University, 2022-01-04)
    In today's world, agoraphobia has become a very common disorder. Agoraphobia disease is a group of mental illnesses marked by intense emotions of fear and anxiety. Majority of people are unaware of the condition. It is ...
  • Prediction of Autism Spectrum Disorder in the Early Stage Based on Machine Learning Approach 
    Hemu, Asifa Afsari; Ahamed, Sabbir; Nipu, Md. Naim Jannat (©Daffodil International University, 2022-01-17)
    Autism Spectrum Disorder (ASD) is a set of neurological impairments which are incurable but can be improved with early treatment. We obtained slightly earlier detected ASD datasets pertaining to children and highly processed ...
  • Prediction of Business Trend Using Sentiment Analysis on Social Media’s Data 
    Mafidul Islam, Md.; Mehedi, Mahfujur Rahman (Daffodil International University, 2019-12-10)
    Social media is the largest platform to share opinion. This opinion has a great effect on business field. Because this opinion analysis will tell about one thing how much positive, negative or natural the human demand ...
  • Prediction of Child Disease Based on Statistical Analysis of Survey Data Using Machine 
    Shipat, Mohammad Shazzad Hasan; Islam, Rajaul; Hossain, Md. Safayet (Daffodil International University, 2021-05-31)
    This research aims to ascertain the prevalence and the factors affecting preventive infectious diseases among small children in Bangladesh. The students assumed that morbidity occurred in infants under 5 years of age was ...
  • Prediction of Chronic Kidney Disease Using Different Machine Learning Methods 
    Fuad, MD. Mubtasim (Daffodil International University, 22-09-13)
    Medical science uses the term "Chronic Kidney Disease" (CKD) to refer to a set of conditions that lead to kidney damage or a low Glomerular Filtration Rate (GFR). Medical advancements in recent years have allowed doctors ...
  • Prediction of Diabetes Using Machine Learning Classifiers 
    Ahmed, Safia (Daffodil International University, 2022-01-17)
    Diabetes is a long-term condition that affect our body's ability to convert food into energy. It is a condition in which the blood glucose level is high. Insulin is a hormone which help glucose to move to cell and produce ...
  • Prediction of Facebook Addiction Using Machine Learning 
    Islam, Md. Zahirul; Jannat, Ziniatul (Daffodil International University, 2020-07-26)
    In this modern age, social media is a part and parcel of our everyday life. Our daily life is undergoing multiple changes that directly have positive and negative effects. Social media has a positive and negative side ...

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