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Browsing Project Report by Subject "Machine learning"

Browsing Project Report by Subject "Machine learning"

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  • Prediction of Agoraphobia Disease Based on Machine Learning Techniques 
    Intia, Israt Jahan; Ferdous, Khondoker Sangida; Hridoy, Nahid Hasan (Daffodil International University, 2022-01-04)
    In today's world, agoraphobia has become a very common disorder. Agoraphobia disease is a group of mental illnesses marked by intense emotions of fear and anxiety. Majority of people are unaware of the condition. It is ...
  • Prediction of Autism Spectrum Disorder in the Early Stage Based on Machine Learning Approach 
    Hemu, Asifa Afsari; Ahamed, Sabbir; Nipu, Md. Naim Jannat (©Daffodil International University, 2022-01-17)
    Autism Spectrum Disorder (ASD) is a set of neurological impairments which are incurable but can be improved with early treatment. We obtained slightly earlier detected ASD datasets pertaining to children and highly processed ...
  • Prediction of Heart Diseases Using Machine Learning 
    Rahman, Md. Mubasshir; Sykat, Mahmud Islam; Khan, Md. Golam Rafi (Daffodil International University, 2022-01-03)
    Now-a-days, we can see the number of heart disease cases increasing highly. Especially old people affected by this . It is so concerning for the world. We thought about this kind of disease and how we could predict this ...
  • Prediction of Suicide Attempts Using Machine Learning 
    Hasan, Mahmudul; Shifat, Sayem Ahmed; Chakrobortty, Pranto (Daffodil International University, 23-01-29)
    In Bangladesh, there is a rising public health issue around suicide. Targeted suicide control and prevention efforts can be greatly aided by a thorough understanding and forecast of suicide patterns. In this research, after ...
  • Prediction of Typhoid Using Machine Learning and Ann Prior to Clinical Test 
    Bhuiyan, Md. Atik; Rad, Sharaf Shahariare (Daffodil International University, 23-01-29)
    Typhoid fever is a serious and potentially fatal illness that causes a large number of deaths each year, particularly in developing countries. Early and accurate diagnosis is essential for effective treatment and to ...
  • Real Time Object Detection Using Machine Learning 
    Rahman, MD. Moshiur; Chakma, Shajeeb (Daffodil International University, 2021-05-24)
    Real-time-object-detection is object detection in authentic time with expeditious inference while maintaining a base level of precision. It is a cosmic, energetic yet uncertain and complicated space of PC vision. Because ...
  • Realtime Social Distance Monitoring using YOLO V3 Algorithm During Covid19 
    Shovo, Mehedi Hassan; Rifat, MD. Imran Hasan; Roy, Karobi (Daffodil International University, 2021-10-30)
    Covid-19 dissemination can be slowed via social distancing strategies. Social distance is closely followed as a model to break the chain of dissemination. This study offers a method for detecting social distance violations ...
  • Region Based Disease Prediction Using Data Mining and Machine Learning. 
    Tuhedul Islam; Nahid-Al-Mamun, Md. (Daffodil International University, 2018-09-25)
    Day by day increasing the value of time of human, that’s why human want to try analyses all the data related with life and environment, for making future life easy and comfortable. In this time, worldwide uses data mining ...
  • Research on Data Analysis and Spreading of Covid-19 in Bangladesh 
    Apu, Injamam Ul Haque; Muhit, KM Abdullah Al; Hossin, Md. Zahid (Daffodil International University, 2021-09-17)
    This particular study is about data analysis of the coronavirus situation in Bangladesh by applying Machine Learning. The sole objective of our paper is to analyze the data and to find out the outcome of people's concern ...
  • Restaurant Recommendation System in Dhaka City Based on Machine Learning Approach 
    Ahmed, Taufiq; Talukder, Fazle Rabby; Rahman, Hasibur (Daffodil International University, 2022-01-02)
    Due to the huge explanation of artificial intelligence, machine learning technology is being used in various areas of our day-to-day life. In Dhaka city, there are lots of Restaurants. Sometimes many of us face a scenario ...
  • Review Analysis of Ride-sharing Application Using BILSTM Based RNN Model- Bangladesh Perspective 
    Islam, Taminul; Lima, Rishalatun Jannat; Kundu, Arindom (Daffodil International University, 2022-01-02)
    Technology and ride-sharing services have become more accessible and convenient as a result of the growth of the internet. Passengers increasingly focus on digital reviews to help them make purchasing decisions. Online ...
  • Sentence Level Sentiment Classification Using Machine Learning Approach in Bengali Language 
    Nahian Kabir, Ahmed Ainun (Daffodil International University, 2022-01-04)
    In recent times, Emotion extraction from a sentence or word is the most well-known research area in Machine Learning. Huge number of research had already been taken place in natural language processing to detect the gist ...
  • Sentiment Analysis in Perspective of Shifting Diu Campus to Ashulia From Dhanmondi 
    Hasan, Md. Nazmul; Ashikuzzaman, Md. (Daffodil International University, 23-01-29)
    Recently, the campus of Daffodil International University moved from Dhanmondi to Ashulia. Consequently, a variety of responses were observed among the students. Based on students' various reviews to campus changes, a ...
  • Sentiment Analysis of Bengali Comments on Social Media Using Natural Language Processing and Machine Learning 
    Hasan, MD. Tahmid; Ronobi, Amir Hamza; Ullash, MD Mazharul Islam (Daffodil International University, 23-01-29)
    Social media is a great way to share your thoughts and opinions with others, but some people on social media use language that is dangerous and disrespectful. Researchers are interested in understanding the emotions and ...
  • Sentiment Analysis of Book Review in Bangla Using NLP and Machine Learning 
    khan, Raihan; Aas Suhaeel, Abdullah (Daffodil International University, 2022-01-05)
    Sentiment polarity detection has recently piqued the interest of NLP researchers, owing to the resulting in positive of consumer comments or ratings on the internet. Due to the continued expansion of e-commerce sites, ...
  • Sentiment Analysis of Customer, Based on Customer Reviews in Bangla Language Using Machine Learning 
    Saha, Shantonu (©Daffodil International University, 2022-01-13)
    Artificial Intelligence had made a revolution in our all aspect of life using machine learning techniques. It helps to understand hidden pattern of data and hence improve businesses. As a result, it is now widely used in ...
  • Sentiment Analysis of Customer, Based on Customer Reviews in Bangla Language Using Machine Learning 
    Saha, Shantonu (©Daffodil International University, 2022-01-30)
    Artificial Intelligence had made a revolution in our all aspect of life using machine learning techniques. It helps to understand hidden pattern of data and hence improve businesses. As a result, it is now widely used ...
  • Sentiment Analysis of Movie Reviews Using Machine Learning Techniques 
    Piash, Abir Hasan; Antora, Afia Jannat (Daffodil International University, 2023-01-28)
    Movie reviews assist viewers in determining whether a film is worth their time. Sentiment analysis is the procedure of investigating digital text to calculate whether the emotional tone of a word is favorable, unfavorable, ...
  • Sentiment Analysis of User-Generated Reviews of Women Safety Mobile Applications 
    Bonny, Afrin Jaman; Jahan, Mehrin; Tuna, Zannatul Ferdhoush (Daffodil International University, 2022-01-05)
    Google Play Store is basically an app store from where we get various kinds of applications for our android certified devices which makes our life a lot easier and faster through the diverse functionalities the apps ...
  • Sentiment Analysis on Bangla Conversation Data Using Machine Learning Approach 
    Hassan, Md. Mahmudul; Shakil, Md. Shahriar (Daffodil International University, 2021-05-31)
    This research titled “Sentiment Analysis on Bangla Conversation Data Using Machine Learning Approach” is from conversations people's sentiment during the conversation period can be extracted as valuable information. In ...

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