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Browsing by Subject "Machine learning"

Browsing by Subject "Machine learning"

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  • 3A comparative Study on Sentiment Analysis for Bengali Language Based on LSTM in F-Commerce 
    Rudro, Mahafozur Rahman; Wahid, Md Faysal; Islam, Md Ariful; Ria, Nushrat Jahan (Daffodil International University, 2023-08-03)
    LSTMs are a type of RNN cell that regulates incoming and outgoing information using text-processing-specific gates. Online retailers, as we all know, have been extremely popular in recent years. Many social media sites, ...
  • Age, Gender & Emotion Detection Using CNN For Retail Analytics Customer Profiling 
    Bushra, Rubaiya Razin (Daffodil International University, 22-12-08)
    These days computerized age & gender detection is a completely exciting research topic. For My this studies, when someone enters a retail shop, his or her photo is captured via the security camera. That image will be ...
  • Air Quality Analysis and Prediction of Local Area 
    Rume, Md. Sazzad Hossain; Hasan, Md. Rakib (Daffodil International University, 2021-01-31)
    Currently, in many industrial and urban area of Bangladesh, analyzing and predicting air quality has become one of the most essential activities. The nature of air is favorably influenced due to Different types of pollution ...
  • Airlines Ticket Price Prediction Using Machine Learning Approach 
    Riaz, Ashiqur Rahman; Rahman, Dewan Sakibur; Sakib, Nazmus (Daffodil International University, 22-08-12)
    The price of airline tickets is the most unstable thing nowadays. It changes abruptly during the morning and evening time. The passengers are always looking to get the tickets at the lowest price, on the other hand the ...
  • Alumni Job Analysis & Success Rate Prediction by Machine Learning Techniques 
    Mostakim, K. M.; Rahman, Anisur; Rahaman, Sohanur (Daffodil International University, 2021-06-01)
    Machine getting to know makes a specialty of the development of Computer packages which could get records and use it to discover on their own. This thesis centers on the job analysis of the Alumni. The job analysis helped ...
  • Alzheimer Disease Detection on Mri Scans Using Machine Learning Techniques 
    Loba, Jannatul (©Daffodil International University, 2022-01-13)
    The brain is one of the most important organs of the human body and is involved in important functions of the human body. Many types of brain disease Alzheimer's disease is one of them. It’s a very harmful and long-term ...
  • Analysis and Prediction of Cholera Disease using Machine Learning Algorithms 
    Shabab, Roisujaman (Daffodil International University, 2021)
    In this research, we have investigated Cholera disease and its fatality rate from previous years in terms of various countries. This disease is not new, yet researchers are currently utilising several approaches to detect ...
  • Analysis of COVID-19 Trends in Bangladesh 
    Samrin, Nishat Ahmed; Suzan, Md. Mahmudul Hasan; Hossain, Md. Selim; Mollah, Mohammad Sarwar Hossain; Haque, Md. Dulal (Daffodil International University, 2022-01-31)
    The globe has reached a critical juncture in the last recent years. According to data we collected from an official internet source, Bangladesh recorded 913,258 confirmed cases, 14,646 death cases with a 1.60% mortality ...
  • An Analysis of Employees’ Email Data That Can Cause Conspiracy 
    Supti, Sumaia Azad; Ferdous, B. M. Jannatul (Daffodil International University, 2019-12)
    The sentiment analysis is a cutting-edge technique for accessing internet data and these data has been a growing discipline of the data mining and machine learning researchers and academics for the last decades. Hence, ...
  • An Analysis of Employees’ Email Data That Can Cause Conspiracy 
    Supti, Sumaia Azad; Ferdous, B. M. Jannatul (Daffodil International University, 2019-12)
    The sentiment analysis is a cutting-edge technique for accessing internet data and these data has been a growing discipline of the data mining and machine learning researchers and academics for the last decades. Hence, ...
  • Analysis of Bangla Transformation of Sentences Using Machine Learning 
    Das, Rajesh Kumar; Sammi, Samrina Sarkar; Kobra, Khadijatul; Ajmain, Moshfiqur Rahman; khushbu, Sharun Akter; Noori, Sheak Rashed Haider (Springer, 2023-04-17)
    In many languages, various language processing tools have been developed. The work of the Bengali NLP is getting richer day by day. Sentence pattern recognition in Bangla is a subject of attention. Additionally, our ...
  • An Analytical Heart Disease Prediction System Using Machine Learning 
    Rakib, Zahidul Islam; Neon, Mohammad Nadim Mahmud; Rahman, Sadiqur (©Daffodil International University, 2021-10-13)
    Heart disease is the top cause of mortality in every country on the planet, according to the World Health Organization. Every year, hundreds of individuals all over the world lose their lives as a result of this disease. ...
  • Analyzing Performance of Different Machine Learning Approaches with Doc2vec for Classifying Sentiment of Bengali Natural Language 
    Hoque, Md. Tazimul; Islam, Ashraful; Ahmed, Eshtiak; Mamun, Khondaker A.; Huda, Mohammad Nurul (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-04-04)
    Vector or numeric representation of text documents has been a revolution in natural language processing as it represents similar parts of text in such a way that they are very close to each other, making it very easy to ...
  • Application of Novel Binary Optimized Machine Learning Models for Monthly Streamflow Prediction 
    Adnan, Rana Muhammad; Dai, Hong‑Liang; Mostafa, Reham R.; Islam, Abu Reza Md. Towfiqul; Kisi, Ozgur; Elbeltagi, Ahmed; Kermani, Mohammad Zounemat (Springer, 2023-04-08)
    Accurate measurements of available water resources play a key role in achieving a sustainable environment of a society. Precise river flow estimation is an essential task for optimal use of hydropower generation, flood ...
  • Applied Intelligence for Industry 4.0 
    Siddique, Nazmul; Arefin, Mohammad Shamsul; Kaiser, M Shamim; Kayes, ASM (Chapman & Hall, 2023-06-12)
    We are all aware that artificial intelligence (AI) has brought a change in our lives, driven by a new form of interaction between man and machine. We are in the era of the fourth Industrial Revolution (IR) where AI plays ...
  • Applied Weather Forecasting using Machine Learning Approach 
    Rahman, Md. Atikur; Rahman, M.A.; Nafiz Akbar, O.; Assaduzzaman, M. (Institute of Electrical and Electronics Engineers Inc., 2023-12-15)
    Weather plays an important role in our daily life. Every year, we face different types of weather conditions. So accurate weather prediction will be a great sign for us to live well. Now, the weather has an impact on the ...
  • Apply Machine learning approach to predict the Breast Cancer Tumor Type 
    khan, Tanjed Ahmed; Islam, Md. Shahidul; Ullah, S.M Aman (Daffodil International University, 2019-11)
    Maximum people around the world use mobile phones as well as those in under resourced communities. This availability of the mobile phone creates a huge field of mobile health education technology which can gift a promising ...
  • Applying Machine Learning Approach To Predict Annual Yield of Major Crops and Recommend Planting Different Crops in Different Seasons in Bangladesh 
    Jemi, Arminara; Miah, Faysal (Daffodil International University, 23-01-29)
    The Bangladesh economy heavily depends on agriculture. Bangladesh's agricultural sector is crucial for providing jobs, income, and GDP. Considering how dramatically the human population is growing, crop output is the primary ...
  • An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning 
    Raju, S. M. Taslim Uddin; Sarker, Amlan; Islam, Md. Milon; Al-Rakhami, Mabrook S.; Al-Amri, Atif M.; Mohiuddin, Tasniah; Albogamy, Fahad R. (Daffodil International University, 2022-02-25)
    This paper aims to introduce a robust framework for forecasting demand, including data preprocessing, data transformation and standardization, feature selection, cross-validation, and regression ensemble framework. Bagging ...
  • An Approach for Heart Disease Prediction Using Supervised Machine Learning Algorithms 
    Mira, Koli Mondol (23-01-18)
    The academic community has recently become interested in categorizing medical datasets using machine learning, despite the fact that it is a challenging task. The conclusion of the procedures is aided by the use of numerous ...

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