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Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • Depression prediction among student based on their daily activities 
    Pranty, Miskatun Ahmed (Daffodil International University, 2024-01-01)
    Depression affects most people in modern life. Inadequate treatment even leads to many people taking their own lives. Early detection and treatment of depression in patients are very easy to achieve. We are unable to ...
  • Detecting helmets on bike riders using deep learning techniques 
    Tushar, Md. Abu Hana Mostafa Zaman (Daffodil International University, 2024-01-01)
    The study introduces a technique for instantaneously and automatically detecting the helmets worn by bike riders. Bikers are a prevalent means of transportation for many folks in my country. Bike have become more popular ...
  • Determining Student's Performance Effecting Factors to Predict Their Performances Using Various Classifiers 
    Sarker, Shipankar; Roy, Limi; Akter, Farzina; Tanzeer, Arafat Ahmed (Daffodil International University, 2020-10-18)
    Student performance in university courses is of great concern to higher education where several factors may affect the performance. This paper is an attempt to apply the data mining processes, particularly classification, ...
  • Drug Addiction Prediction Using Machine Learning 
    Arif, Md. Ariful Islam; Sany, Saiful Islam; Nahin, Faiza Islam (Daffodil International University, 2020-07-19)
    Drugs and alcohol are dangerous to health and the body. Nowadays drug addiction has become a threat to Bangladeshi young people. Drugs and alcohol have a negative impact on our life. We have to keep an eye on the young ...
  • Dual Band Antenna Design and Prediction of Resonance Frequency Using Machine Learning Approaches 
    Haque, Md. Ashraful; Sarker, Nayan; Singh, Narinderjit Singh Sawaran; Rahman, Md Afzalur; Hasan, Md. Nahid; Islam, Mirajul; Zakariya, Mohd Azman; Paul, Liton Chandra; Sharker, Adiba Haque; Abro, Ghulam E. Mustafa; Hannan, Md; Pk, Ripon (Scopus, 22-10-18)
    An inset fed-microstrip patch antenna (MPA) with a partial ground structure is constructed and evaluated in this paper. This article covers how to evaluate the performance of the designed antenna by using a combination ...
  • Early Brain Stroke Prediction Using Machine Learning Technique 
    Sharmin, Toufika; Sadik, Md. Shibli (Daffodil International University, 2018-11)
    Sometimes, a stroke called a "brain attack" occurs when blood supply to an area in the brain is cut off. Often due to doctor perception, deciding whether an observation diagnostic test is brain stroke or not which causes ...
  • EEG CLASSIFICATION OF HAND MOVEMENT USING MACHINE LEARNING 
    AHMED, MD TANVIR; DAS, SOURAV; NISHA, JARIN TASNIM; GAIN, SRABANI (Daffodil International University, 2018-12-11)
    Brain computer interface can provide a communication pathway and control channel between brain and external devices. In this paper, we used global EEG dataset from UCI Machine Learning Repository (https://archive.ics.u ...
  • An Efficient Early Prediction of Hypothyroid Disease with Ensemble Machine Learning Technique 
    Nandi, Kartick (Daffodil International University, 23-02-12)
    Physical illnesses, such as hypothyroidism, have recently become more prevalent. The topic is well-known in today's society. Hypothyroidism is a problem for the majority of people. The differences between the ratios of the ...
  • An Efficient Modified Bagging Method for Early Prediction of Brain Stroke 
    Alam, Md. Mahabur; Hasan, Md. Mehadi; Hasan, Md. Zahid (Scopus, 2019-07-12)
    Brain stroke become a serious cardiovascular and cerebral disease causes of human death. Precisely predicting stroke effect from a set of predictive attributes may classify high-risk patients and guide cure approaches, ...
  • EkushNet: Using Convolutional Neural Network for Bangla Handwritten Recognition 
    Rabby, AKM Shahariar Azad; Haque, Sadeka; Abujar, Sheikh; Hossain, Syed Akhter (Elsevier B.V., 2018-11-19)
    EkushNet is the first research which can recognize Bangla handwritten basic characters, digits, modifiers, and compound characters. Handwritten recognition is one of the most interesting issue in present time due to its ...
  • An Empirical Study of Cervical Cancer Diagnosis using Ensemble Methods 
    Karim, Enamul; Neehal, Nafis (Scopus, 2019-05-05)
    Cervical Cancer, being one of the most pressing issues now-a-days, needs to be addressed properly. With a view to achieving an accurate diagnosis method for Cervical Cancer by screening the risk factors, different machine ...
  • Enhancing brain tumor detection with royal filter and btv19 model 
    Hossain, Sadia (Daffodil International University, 2024-01-01)
    This work aims to enhance brain tumor diagnosis accuracy by examining crucial aspects of cleaning and filtering MRI datasets, emphasizing the novel integration of Royal filtering with the VGG19 architecture. It employs ...
  • Exploration on Use of time series analysis and machine learning to predict the population of countries and global Trend 
    Tanmoy, F.M. (Daffodil International University, 2024-01-01)
    This study focuses on the crucial task of forecasting population growth, a fundamental aspect of planning for a nation's future development. Utilizing advanced machine learning techniques, we aim to predict future ...
  • Face emotion recognition using vertically deflected and horizontally deflected face images 
    Ray, Kridita (Daffodil International University, 2024-01-24)
    Face Emotion Recognition has been a one of the common fields of work ever since Deep Leaning technology has been introduced. Although a lot of techniques have acquired a high performance, yet this technology has not been ...
  • Face Recognition for Ensuring Security in University Campus 
    Bhuiyan, Pranta Kumer; Emon, Md. Shaheed Uddin; Moon, Parves Ahmed (Daffodil International University, 2018-11)
    Face recognition is one of the most popular topics in research at present. It makes a new way in the biometrics field. It is possible for a machine to know individuals, known and unknown for this purpose called face ...
  • Find Out a New Product Value Quality Prediction in Market Using Data Mining 
    Hasan, Mehedi; Hossain, Mosharof (Daffodil International University, 2020-07-09)
    The objective of this paper is to inform the information system manager and business analyst about the role of machine learning techniques in business data mining. Data mining is a fast growing application area in business. ...
  • Flower Identification Using Machine Learning 
    Rahman, Md. Mizanur; Khan, Akash Ahmed; Shameem, Md. Baher Uddin (Daffodil International University, 2018-12-11)
    Beauty is incomplete without flower. Bangladesh is the land of flower. In our everyday life, On the way of walking, beside the rail line or in our garden we used to see a lot of flower. But in most case we have no knowledge ...
  • Food Preferences of Students Based on Their Emotional State 
    Nasrin, Nadia (Daffodil International University, 2020-12-31)
    In this modern progressive world, everyone is suffering from some problem. Many people miss the track of solving their problems and are stuck in a maze. Then they get depressed or stressed over small things. Mostly, ...
  • Food review sentiment analysis by fast text and machine learning approach 
    Hasan, Md. (Daffodil International University, 2024-01-27)
    The purpose of this project is to investigate the use of sentiment analysis techniques to analyze food evaluations that are written in the Bengali language and posted on online delivery platforms in Bangladesh. On the ...
  • Football Player Position Prediction Using ML 
    Miah, Md. Hasan (Daffodil International University, 2024-01-01)
    Precisely anticipating a player's position is critical to the success of team tactics and talent scouting in football, as every position requires a unique set of talents. This thesis uses an extensive dataset of 100,995 ...

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