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Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • Plant Diseases Recognition Using Machine Learning 
    Ullah, Md Rahmat; Dola, Nagifa Anjum; Sattar, Abdus; Hasnat, Abir (Scopus, 2020)
    The way a doctor can predict what kind of diseases a patient is suffering from, similarly, the fastest stratagem of predicting plant diseases is to analyze leaf's physiognomy changes and compare them with their actual ...
  • A Potent Model to Recognize Bangla Sign Language Digits Using Convolutional Neural Network 
    (Md.), Sanzidul Islam; Mousumi, Sadia Sultana Sharmin; Rabby, AKM Shahariar Azad; Hossain, Sayed Akhter; Abujar, Sheikh (Elsevier B.V., 2018-11-19)
    Hearing impaired people have own language called Sign Language but it is difficult for understanding to general people. Sign language is the basic method of communication for deaf people during their everyday of life. Sign ...
  • Predicting Absenteeism of Employees at Workplace Using Tree-Based Algorithms 
    WAHID, ZAMAN (Daffodil International University, 2018-12-24)
    Absenteeism at workplace plays a crucial factor in demonstrating the productive and profitable capacity of a company. Thus the knowledge of absenteeism of employees’ becomes the principle for an organization in its ...
  • Predicting Mobile Price Range Using Classification Techniques 
    Sakib, Ahsanul Hoque (Daffodil International University, 2020-12-17)
    Machine learning-based classification techniques help to solve the problem related to decision making. In many areas of price, prediction is used like housing price prediction, stock price prediction different classification ...
  • Predicting the Mental Health of Rural Bangladeshi Children in Coronavirus Disease 2019 
    Moon, Nazmun Nessa; Hossain, Refath Ara; Jahan, Israt; Shakil, Shahriar; Uddin, Shihab; Hassan, Mahmudul; Nu, Fernaz Narin (Daffodil International University, 22-06-18)
    The novel coronavirus disease 2019 (COVID-19) current pandemic is a worldwide health emergency like no other. It is not the only COVID-19 infection in infants, children, and adolescents that is causing concern among their ...
  • 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 ...
  • Product Review Sentiment Analysis by Using NLP and Machine Learning in Bangla Language 
    Shafin, Minhajul Abedin; Hasan, Md. Mehedi; Alam, Md. Rejaul; Mithu, Mosaddek Ali; Nur, Arafat Ulllah; Faruk, Md. Omar (Scopus, 2020)
    In this era of internet technology, in Bangladesh, online marketing or e-commerce businesses were already thriving. Due to the COVID-19 pandemic, as people are in lockdown, online shopping became the main platform for ...
  • Project Report on A Machine Learning Approach To Detect Diabetic Retinopathy 
    Saha, Pratim (Daffodil International University, 2020-10-12)
    Diabetic Retinopathy is an eye disease that affects mainly the retina. It is the consequence of long-standing Diabetes which results as blood leaks from the retinal blood vessels onto the retina. It is one of the most ...
  • Real time Weapon Detection Using Convolutional Neural Network 
    Jubaer, A. N. M.; Sayem, Abu (Daffodil International University, 2020-05-06)
    Security is a big issue these days. People are becoming violent and the tendency to be armed is being noticed. Carrying a pistol or knife is now very common. Security guards are trying their best, but we think technology ...
  • Risk of Dental Disease Prediction Using Machine Learning 
    Rimi, Iffat Firozy; Akter, Sharmin (Daffodil International University, 2020-10-08)
    Now a day’s dental disease is the major health problem in Bangladesh. So dental care is important to most people in our country. But the cost of dental care services is increasing day by day. We will predict the risk of ...
  • Road Object Detection in Bangladesh Using Faster R-CNN 
    Datta, Anik; Meghla, Tamara Islam; Khatun, Tania; Bhuiya, Mehedi Hasan; Shuvo, Shakilur Rahman; Rahman, Md. Mahfujur (Scopus, 2020)
    The importance of object detection in our lives is increasing day by day. The role of object detection is very important in autonomous cars, intelligent driving assistance, and advanced traffic analysis. In the case of ...
  • Self-Configuring Convolutional Neural Network using Evolutionary Algorithm 
    Arfin, Md. Hafizur Rahman; Islam, Md. Majedul (Daffodil International University, 2019-12-05)
    One of the key drivers of today’s AI revolution is an improvement in the field of deep learning. The evolution of deep learning along with big data and the improvement in the hardware industry impacted the Artificial ...
  • Sentiment analysis on Bangladeshi media streaming platform: using Bidirectional Encoder Representations from Transformers (BERT) 
    Zahinah, Jasiah (Daffodil International University, 2024-01-21)
    This thesis delves into the intricate landscape of user sentiments within Bangladeshi media streaming platforms, employing a comprehensive sentiment analysis methodology. With a focal point on the evolutionary trajectory ...
  • Shot-Net: A Convolutional Neural Network for Classifying Different Cricket Shots 
    Foysal, Md. Ferdouse Ahmed; Islam, Mohammad Shakirul (Daffodil International University, 2018-11-01)
    Artificial Intelligence has become the new powerhouse of data analytics in this technological era. With advent of different Machine Learning and Computer Vision algorithms, applying them in data analytics has become a ...
  • Smart Risk Prediction Tools of Appendicitis Patients 
    Masud, Fuyad Al; Royel, Md. Rejaul Islam; Sajal, Md. Mizanur Hasan Khan; Jahan, Sohely; Paul, Bikash Kumar; Ahmed, Kawsar (Springer, 2021)
    Appendicitis is a common disease or sickness that can cause serious complications. A person’s appendix gets infected and painful due to appendicitis. In this study, an android based application has been developed by ...
  • Solar PV Power Forecasting Using Traditional Methods and Machine Learning Techniques 
    Alam, Ahmed Manavi; Masood, Nahid-Al-; Razee, Iqbal Asif; Zunaed, Mohammad (Scopus, 2021)
    The stability of the power sector has become uncertain due to the unpredictable characteristics of renewable energy sources such as solar photovoltaic (PV) power generation. It endangers the balance of the power system ...
  • Student Career Guidance Recommendation System Using Machine Learning Algorithms 
    Shahed, Norul Moktader; Rabby, Md. Fazlay; Sarker, Monisha (Daffodil International University, 2020-10-06)
    Career Counseling is a major topic for our students to choose the appropriate field of study after completion of high school. Student always hesitates to choose their field of study which is a crucial part of their life, ...
  • Student Performance Prediction Using Machine Learning Approach and Data Mining Techniques 
    Rony, Md. Anisur Rahman; Amithy, Nujhat Tabassum; Amir, Meherin (Daffodil International University, 2020-07-26)
    Nowadays Data Mining and Machine Learning Algorithms have made our work easier by developing prediction capability. We can implement Data Mining and Machine Learning Algorithms in many sectors. Among those, education is ...
  • Sugarcane Stem and Leaf Disease Prediction Using Deep Neural Network 
    Sharif, Md. Shahin (Daffodil International University, 2020-07-09)
    Deep convolutional neural network is a diverting area where researches and achievement are taking excellent progress in agriculture field. The most recent enhancements in computer vision formulated thorough deep learning ...
  • Symptom Wise Age Prediction of Cancer Patient Using Classifier Comparison and Feature Selection 
    Rashid, Mohammad; Khan, Md. Nayem Ferdous; Biswas, Avijit (Daffodil International University, 2019-12-05)
    Cancer has become one of the most life threatening disease over the past few decades. Especially on Bangladesh the number of people being affected by cancer is increasing in an agitating rate. Again cancer, diagnosed ...

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