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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, ...
  • Advancing Thyroid Care: An Accurate Trustworthy Diagnostics System with Interpretable Ai and Hybrid Machine Learning Techniques 
    Sutradhar, Ananda; Akter, Sharmin; Shamrat, F M Javed Mehedi; Idris, Mohd Yamani Idna Bin; Ahmed, Kawsar; Moni, Mohammad Ali (Elsevier, 2024-08-20)
    The worldwide prevalence of thyroid disease is on the rise, representing a chronic condition that significantly impacts global mortality rates. Machine learning (ML) approaches have demonstrated potential superiority in ...
  • 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 ...
  • Agri-vision Bangladesh: A multi-crop augmented image dataset for automated disease diagnosis in Bottle Gourd, Zucchini, Papaya, and Tomato 
    Billah, Md Masum; Rahman, Md. Anisur; Sagor, Saifuddin; Parvin, Sanzida; Uddin, Mohammad Shorif (Scopus, 2025-04-26)
    This article introduces Agri-Vision Bangladesh, a comprehensive, augmented image dataset designed to advance automated disease diagnosis in four economically vital agricultural crops: Bottle Gourd (Lagenaria siceraria), ...
  • Agri-vision Bangladesh: A multi-crop augmented image dataset for automated disease diagnosis in Bottle Gourd, Zucchini, Papaya, and Tomato 
    Billah, Md Masum; Rahman, Md. Anisur; Sagor, Saifuddin; Parvin, Sanzida; Uddin, Mohammad Shorif (Scopus, 2026-04-30)
    : This article introduces Agri-Vision Bangladesh, a comprehensive, augmented image dataset designed to advance automated disease diagnosis in four economically vital agricultural crops: Bottle Gourd (Lagenaria siceraria), ...
  • AI-Driven Bone Fracture Detection: 
    Emon, Mir Md. Asif Jahan; Tisha, Esrat Jahan (Daffodil International University, 2024-07-24)
    This study, titled "AI-Driven Bone Fracture Detection: Leveraging Image Processing and Machine Learning on X-ray Images," embarks on enhancing the accuracy and efficiency of diagnosing bone fractures using advanced AI ...
  • An AIoT-based hydroponic system for crop recommendation and nutrient parameter monitorization 
    Rahman, Md Anisur; Chakraborty, Narayan Ranjan; Sufiun, Abu; Banshal, Sumit Kumar; Tajnin, Fowzia Rahman (Scopus, 2024)
    Antimicrobials are molecules that prevent the formation of microorganisms such as bacteria, viruses, fungi, and parasites. The necessity to detect antimicrobial peptides (AMPs) using machine learning and deep learning ...
  • 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 artificial intelligence as a knowledge creation instrument in tax procedures 
    Koivula, Karri; Shamsuzzoha, Ahm; Shamsuzzaman, Mohammad (Scopus, 2024-03-30)
    This study set out to find whether deep learning algorithms neural networks and self organizing maps could be utilized in a value-adding way in the Finnish Tax Administration in the handling of income tax related claims ...
  • Application of Bagging and Boosting Ensemble Machine Learning Techniques for Groundwater Potential Mapping in a Drought-prone Agriculture Region of Eastern India 
    Halder, Krishnagopal; Srivastava, Amit Kumar; Ghosh, Anitabha; Nabik, Ranajit; Pan, Subrata; Chatterjee, Uday; Bisai, Dipak; Pal, Subodh Chandra; Zeng, Wenzhi; Ewert, Frank; Gaiser, Thomas; Pande, Chaitanya Baliram; Islam, Abu Reza Md. Towfiqul; Alam, Edris; Islam, Md Kamrul (Springer, 2024-09-02)
    Groundwater is a primary source of drinking water for billions worldwide. It plays a crucial role in irrigation, domestic, and industrial uses, and significantly contributes to drought resilience in various regions. However, ...

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