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  • M/s Partha Enterprise 
    Ghose, Partha Protim (©Daffodil International University, 2022-01-13)
    M/s Partha Enterprise is a software System. In this system we can easily maintain my business. This system Manager can Enter daily register data, stock register data, upload documents, maintain due and create a over view ...
  • M82B at Check That! 2021: Multiclass Fake News Detection Using BiLSTM 
    S.S, Ashik; A.R., Apu; N.J., Marjana; M.S., Islam; M.A., Hasan (Scopus, 2021)
    The rapid advancement of web technologies enabled to spread of information online faster. This enabled the spreading of both informative and uninformative information among the people. Fake news represents misinformation ...
  • Maasranga television 
    Hasanuzzaman, Md. (Daffodil International University, 2018-05-10)
    It was a great pleasure for preparing Internship report on the “Understanding Broadcast Journalism: Professional Experiences in Maasranga Television Centre”. I would like to thank and convey my gratitude to honorable ...
  • MACHINE AND WEB TRANSLATOR FOR ENGLISH TO BANGLA USING NATURAL LANGUAGE PROCESS 
    Haque, Mohammad Hasibul; Hossain, Md. Fokhray; Hossain, A. N. M. Fauzul (Daffodil International University, 2010-01-01)
    The modern web contents are mostly written in English and developing a system with the facility of translating web pages from English to Bangla that can aid the massive number of people of Bangladesh. It is very important ...
  • Machine Learning Algorithm for Student's Performance Prediction 
    Hasan, H.M. Rafi; Rabby, AKM Shahariar Azad; Islam, Mohammad Touhidul; Hossain, Syed Akhter (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Student performance prediction is very important to understand a student progress rate. It is said that `Prevention is better than the cure'. In this Research, we are trying to find out student's current status and predict ...
  • A Machine Learning and Deep Learning Approach for Bengali News Headline Categorization 
    Akter, Labony; Zaman, MD Shahriar (Daffodil International University, 23-01-29)
    Internet is a thing through which a huge amount of information and data is available. As the amount of online news is increasing drastically due to the availability of internet in all parts of the world, people are also ...
  • Machine Learning and Deep Learning Approaches to Predict Early Stage of Diabetes 
    Baidya, Sonnet (Daffodil International University, 2024-01-29)
    This study offers a thorough methodology that makes use of a variety of deep learning and machine learning algorithms to predict early stage of diabetes. Recurrent neural networks (RNN), Feedforward Neural Networks (FNN), ...
  • A Machine Learning and Web-Based Autonomous Agricultural System for Crop and Fertilizer Recommendation and Yield Prediction 
    Shuvessa, Silvia Kh (Daffodil International University, 23-02-08)
    In the world, agriculture is recognized as a crucial economic factor since it meets one of civilization's most basic necessities, namely food. In the majority of nations, it is recognized as the primary source of revenue. ...
  • Machine Learning Applied to Kidney Disease Prediction 
    Rabby, A.K.M. Shahariar Azad; Mamata, Rezwana; Laboni, Monira Akter; Ohidujjaman; Abujar, Sheikh (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Machine learning has earned a remarkable position in healthcare sector because of its capability to enhance the disease prediction in healthcare sector. Artificial intelligence and Machine learning techniques are being ...
  • Machine Learning Approach for Bird Detection 
    Mashuk, Farhan; Samsujjoha; Sattar, Abdus; Sultana, Nahida (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The Artificial Intelligence has been observing a memorial heightening in bridging the gap between the competence of human being and device. The progress in Computer Vision with Deep Learning has been established and is ...
  • A Machine Learning Approach for Driver Identification 
    Ali Khan, Md. Abbas; Ali, Mohammad Hanif; Haque, Fazlul; Habib, Md. Tarek (Institute of Electrical and Electronics Engineers Inc., 2023-04-15)
    Driver identification is a momentous field of modern decorated vehicles in the perspective of the controller area network (CAN-Bus). Many conventional systems are used to identify the driver. One step ahead, most of the ...
  • A Machine Learning Approach for Emotion Classification in Bengali Speech 
    Islam, Md. Rakibul; Akhi, Amatul Bushra; Akter, Farzana; Rashid, Md Wasiul; Rumu, Ambia Islam; Lata, Munira Akter; Ashrafuzzaman, Md. (Institute of Electrical and Electronics Engineers Inc., 2023-01-01)
    In this research work, we have presented a machine learning strategy for Bengali speech emotion categorization with a focus on Mel-frequency cepstral coefficients (MFCC) as features. The commonly utilized method of MFCC ...
  • Machine Learning approach for predicting temperature in Bangladesh 
    Rizvee, Md. Arif (Daffodil International University, 2018-12)
    Our country has six seasons. Though temperature remain high during summer season in Bangladesh. For global worming Bangladesh weather is also changing. As a result temperature in Bangladesh is increasing day by day. For ...
  • A Machine Learning Approach for Predicting the Sunspot of Solar Cycle 
    Khan, Thaharim; Arafat, Faisal; Mojumdar, Mayen Uddin; Rajbongshi, Aditya; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2020-07)
    Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) ...
  • A Machine Learning Approach for Risk Factors Analysis and Survival Prediction of Heart Failure Patients 
    Ali, Md. Mamun; Al-Doori, Vian S.; Mirzah, Nubogh; Hemu, Asifa Afsari; Mahmud, Imran; Azam, Sami; Al-tabatabaie, Kusay Faisal; Ahmed, Kawsar; Bu, Francis M.; Moni, Mohammad Ali (Elsevier, 2023-04-18)
    In this study, we propose machine learning (ML) for risk factors analysis and survival prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML methods are applied to the dataset: Decision ...
  • A Machine Learning Approach for Sentiment Analysis of Book Reviews in Bangla Language 
    Khatun, Mst. Eshita; Rabeya, Tapasy (Daffodil International University, 2022-05-30)
    With the advent of technology, Sentiment polarity detection has recently piqued the interest of NLP researchers. Sentiment analysis determines the profound meaning of an article. Due to COVID-19 pandemic, online shopping ...
  • Machine Learning Approach for Software Defect Prediction 
    Hossen, Md Anwar; Islam, Md. Shariful; Yusof, Nurhafizah Abu Talip; Rahman, Md. Sakib; Siddika, Fatema; Rahman, Mostafijur; Khatun, Sabira; Karim, Mohamad Shaiful Abdul; Mahmud, S. M. Hasan (Lecture Notes in Electrical Engineering, Springer, 2020-03-24)
    The software has turn into an imperious part of human’s life. In the recent computing era, many large-scale complex network systems and millions of modern technological devices produce a huge amount of data every second. ...
  • A Machine Learning Approach for Vegetable Recognition 
    Uddin, Md. Nasir; Alam, Md. Ashraful; Shafayet, Abdullah Al (Daffodil International University, 2021-09-09)
    In perceiving objects in an image, computer vision and example recognition is an emerging territory. The advances in perceiving objects in pictures have a wide range of applications, including frameworks for discovering ...
  • A Machine Learning Approach for Vegetable Recognition 
    Uddin, Md. Nasir; Alam, Md. Ashraful; Shafayet, Abdullah Al (Daffodil International University, 2021-09-09)
    In perceiving objects in an image, computer vision and example recognition is an emerging territory. The advances in perceiving objects in pictures have a wide range of applications, including frameworks for discovering ...
  • A Machine Learning Approach to Analyze and Reduce Features to a Significant Number for Employee’s Turn Over Prediction Model 
    Alam, Mirza Mohtashim; Mohiuddin, Karishma; Islam, Md. Kabirul; Hassan, Mehedi; Hoque, Md. Arshad-Ul; Allayear, Shaikh Muhammad (Springer Nature, 2018-11-02)
    Turnover of employee considers as one of the major issue that every company faces. Especially, if the employee has advance skills at his/her working field, then the company faces great loss during that period. To find out ...

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