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Browsing by Subject "Algorithms"

Browsing by Subject "Algorithms"

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  • Predicting Chronic Kidney Disease Using Machine Learning Techniques 
    Latif, Abdul (23-01-29)
    The term “Chronic Kidney Disease” (CKD) is used in medicine to describe a number of disorders that result in kidney damage or a poor Glomerular Filtration Rate (GFR). Medical advancements in recent years have allowed ...
  • Predicting Game Addiction Using Machine Learning 
    Alam, Md.Sarwar (Daffodil International University, 23-01-18)
    The main purpose of the paper is to determine how online game affects different aspects of Bangladeshi university-going students’ life. To find out the ratio or addiction rate of gaming on these young generation or ...
  • Predicting Password Strength Based on Natural Language Processing Technique 
    Kabir, Ahsan (Daffodil International University, 22-08-01)
    Passwords provide the first line of defense against unauthorized access to your computer and personal information. Though there are many alternatives to passwords for access control, a password is the more compellingly ...
  • 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 Divorce Prospect using Machine Learning Methods: A Case Study on Bangladesh 
    Mukta, Sherin Tasnim (Daffodil International University, 23-01-18)
    In this paper, we suggest a system for predicting divorce and use the Divorce Predictors Scale to evaluate it (DPS). The DPS is a 40-item self-report questionnaire based on Gottman couple's therapy, which could be used as ...
  • 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 ...
  • A Predictive Analysis Framework of Heart Disease Using Machine Learning Approaches 
    Molla, Shourav; Shamrat, F. M. Javed Mehedi; Rafi, Raisul Islam; Umaima, Umme; Umaima, Umme; Hossain, Shahed; Mahmud, Imran (Daffodil International University, 22-06-29)
    Heart disease is among the leading causes for death globally. Thus, early identification and treatment are indispensable to prevent the disease. In this work, we propose a framework based on machine learning algorithms ...
  • A proposed deep learning approach for detecting brinjal plant diseases. 
    Hasan, Md Mustakin (Daffodil International University, 2024-01-22)
    The article provides a unique deep learning strategy for automatic recognition of brinjal plant diseases, using a large dataset that contains varied events of Phytophthora Blight, Leaf Curl Disease, Withering Leaves, ...
  • RECH-LEACH: A New Cluster Head Selection Algorithm of LEACH on the Basis of Residual Energy for Wireless Sensor Network 
    Saju, Gulfam Ahmed; Bhuiyan, Md. Moshgul; Islam, Md. Nazrul (Daffodil International University, 2019-12)
    Wireless sensor network is constructed of small low power sensor devices. These sensor devices contain small battery capacity and placed in hostile condition. When these sensor nodes are positioned in an area, it is ...
  • Repurposing Food Molecules as a Potential BACE1 Inhibitor for Alzheimer's Disease 
    Mukerjee, Nobendu; Das, Anubhab; Jawarkar, Rahul D.; Maitra, Swastika; Das, Padmashree; Castrosanto, Melvin A.; Paul, Soumyadip; Samad, Abdul; Zaki, Magdi E. A.; Al-Hussain, Sami A.; Masand, Vijay H.; Hasan, Mohammad Mehedi; Bukhari, Syed Nasir Abbas; Perveen, Asma; Alghamdi, Badrah S.; Alexiou, Athanasios; Kamal, Mohammad Amjad; Dey, Abhijit; Malik, Sumira; Bakal, Ravindra L.; Abuzenadah, Adel Mohammad; Ghosh, Arabinda; Ashraf, Ghulam Md (Daffodil International University, 2022-08-22)
    Alzheimer’s disease (AD) is a severe neurodegenerative disorder of the brain that manifests as dementia, disorientation, difficulty in speech, and progressive cognitive and behavioral impairment. The emerging therapeutic ...
  • 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 comments on the israel-palestine conflict and showing geopolitical stance distribution 
    Sharkar, Md. Emon (Daffodil International University, 2024-01-25)
    Sentiment analysis has kept its landmark in Natural Language Processing by analyzing the text to extract sentimental value. The result usually goes with positive, negative, or neutral sentiment with necessary data ...
  • Sentiment Analysis on Bangla Conversation Using Machine Learning Approach 
    Hassan, Mahmudul; Shakil, Shahriar; Moon, Nazmun Nessa; Islam, Mohammad Monirul; Hossain, Refath Ara; Mariam, Asma; Nur, Fernaz Narin (Daffodil International University, 22-06-20)
    Nowadays, online communication is more convenient and popular than face-to-face conversation. Therefore, people prefer online communication over face-to-face meetings. Enormous people use online chatting systems to speak ...
  • Sentiment Analysis on Twitter Tweets about Covid-19 Vaccines Using NlP and Supervised KNN Classification Algorithm 
    Shamrat, F. M. Javed Mehedi; Chakraborty, Sovon; Imran, M. M.; Muna, Jannatun Naeem; Billah, Md. Masum; Das, Protiva; Rahman, Md. Obaidur (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    The pandemic has taken the world by storm. Almost the entire world went into lockdown to save the people from the deadly COVID-19. Scientists around the around have come up with several vaccines for the virus. Among them, ...
  • Sentiment Analysis on Violence Against Children and Women on Social Media and News Comments in Bangladesh 
    Anik, Azmain Iqutedar; Mia, Md. Rayhan; Khan, Md. Zia-Ul-Kabir (Daffodil International University, 23-01-29)
    Sentiment analysis is a natural language processing task that determines the sentiment or emotion expressed in a text. In the context of violence against children and women, sentiment analysis could be used to identify ...
  • Skin Disease Detection by Image Processing Using CNN 
    Akhter, Sraboni (Daffodil International University, 23-01-29)
    Image processing is remarkable algorithm for detecting a anything from image data. There are some models in Image processing. Such as CNN, ResNet50, EfficientNetB3, VGG19 etc. There are many existing works used by CNN. ...
  • Skin Disease Detection Employing Transfer Learning Approach- A fine-tune VGG-19 
    Islam, Al-Habib; Shahriyar, S.M. (Daffodil International University, 23-02-18)
    Your skin may become damaged by skin diseases and conditions. These illnesses can cause skin changes such as rashes, inflammation, itching, and other skin changes. While some skin conditions may run in families, others may ...
  • A Smart Approach for Detecting Email Spam Text Detection 
    Smritee, Farhana Akter; Sunny, Ahmed Zubayer; Al Mahadi, Sayem (Daffodil International University, 23-02-18)
    In practically every industry today, from business to education, emails are used. Ham and spam are the two subcategories of emails. Email spam, often known as junk email or unwelcome email, is a kind of email that can be ...

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