DSpace Repository

Browsing Project Report by Title

Browsing Project Report by Title

Sort by: Order: Results:

  • 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 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 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 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 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 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 ...

Search DSpace


Browse

My Account