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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

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  • 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 ...
  • Prediction of Heart Disease Using Machine Learning Algorithms 
    Shovon, MD. Hasnat Hasnine; Akter, Tahmina (Daffodil International University, 22-09-13)
    Heart disease similarly known as cardiovascular disease which indicates any uncomfortable disorder affecting the heart. This disease has been the far most common reason of death, premature aged heart failure and influences ...
  • Prediction of Heart Diseases Using Machine Learning 
    Rahman, Md. Mubasshir; Sykat, Mahmud Islam; Khan, Md. Golam Rafi (Daffodil International University, 2022-01-03)
    Now-a-days, we can see the number of heart disease cases increasing highly. Especially old people affected by this . It is so concerning for the world. We thought about this kind of disease and how we could predict this ...
  • Prediction of Rainfall Using Data Mining Techniques 
    Das, Himel (Daffodil International University, 2019-12-06)
    The research for this paper focus on finding inter-relations between various climate ratio and predict rainfall therefore. In addition, since precipitation is the detectable explanation for flood, our evaluation can ...
  • Prediction of Students Dropout Using Data Mining 
    Tabassum, Nazifa; Bonna, Rezoyana Islam (Daffodil International University, 2019-12)
    As a developing country, dropout is the dominant obstacle for our educational sectors. Therefore, it is important to develop the logical method for prediction of the students at the risk point of dropping out, allowing ...
  • Prediction of Suicide Attempts Using Machine Learning 
    Hasan, Mahmudul; Shifat, Sayem Ahmed; Chakrobortty, Pranto (Daffodil International University, 23-01-29)
    In Bangladesh, there is a rising public health issue around suicide. Targeted suicide control and prevention efforts can be greatly aided by a thorough understanding and forecast of suicide patterns. In this research, after ...
  • Prediction of the Effects of Online Education on Students Health by Machine Learning 
    Sarkar, Ujjoiny; Rimu, Sumaiya Islam; Akther, Sumaeya (Daffodil International University, 2021-06-03)
    The Covid-19 pandemic has disrupted educational activities across Bangladesh, resulting in the closure of educational institutes, affecting nearly four crore students' daily learning activities. Besides, the economic ...
  • Prediction of Type 2 Diabetes Using Different Machine Learning Algorithms 
    Rahman, Tasmiah; Azad, Anamika (Daffodil International University, 2021-01-28)
    Diabetes is a major threat for all over the world. It is rapidly getting worse day by day. It is a big challenge to determine diabetes properly and give proper treatment at a right time. Now in this era of technology ...
  • Prediction of Typhoid Using Machine Learning and Ann Prior to Clinical Test 
    Bhuiyan, Md. Atik; Rad, Sharaf Shahariare (Daffodil International University, 23-01-29)
    Typhoid fever is a serious and potentially fatal illness that causes a large number of deaths each year, particularly in developing countries. Early and accurate diagnosis is essential for effective treatment and to ...
  • Prediction the Risk of Breast Cancer from Body Mass Index (BMI) , Glucose and Insulin 
    Sultana, Sadia; Shirin, Mst. Lotifa Akter; Anwar, Md. Saif (Daffodil International University, 2018-12)
    The purpose of our research is to predict the risk of breast cancer from body mass index (BMI).Body mass index stands for, proper ratio of weight according to height. Overweight and obesity causes various types of physical ...
  • Predictive Analysis for Student's Performance Evaluation 
    Chowdhury, Sajid Alam (Daffodil International University, 2021-09-24)
    These days, the instructional learning methods are not restricted to the traditional strategies, which used to be ten years prior. The 21st-century students need to be outfitted with information and abilities to establish ...

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