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  • 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 and Classifying Potato Leaf Disease using K-means Segmentation Techniques and Deep Learning Networks 
    Nishada, Md. Ashiqur Rahaman; Mitua, Meherabin Akter; Jahan, Nusrat (Daffodil International University, 2023-12-20)
    Potato is one of the most cultivated crops. Worldwide potatoes have its own cultivation priority as a staple food. For a successful potato production, we can develop a strong food security system as it is the great source ...
  • Predicting and Staging Chronic Kidney Disease of Diabetes (Type-2) Patient Using Machine Learning Algorithms 
    Basak, Setu; Alam, Md. Mahbub; Rakshit, Aniruddha; Marouf, Ahmed Al; Majumder, Anup (International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering & Sciences Publication, 2019-10-02)
    Mortality because of unending kidney disease increments essentially in recent years. Nowadays, about 422 million patients are suffering from diabetes among them around 30 percent of patients with Type 1 (adolescent beginning) ...
  • Predicting Career Using Data Mining 
    Arafath, Md. Yeasin; Saifuzzaman, Mohd.; Ahmed, Sumaiya; Hossain, Syed Akhter (2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, IEEE, 2019-03-28)
    Career goal specially choosing the appropriate career through monitoring of the scope and trends in computer science and engineering job dimension have been a prime need for all computer science undergraduate youngsters. ...
  • Predicting Chronic Kidney Disease of Diabetes Patients Using Ensemble Learning 
    Faruque, Md. Omar; Hossain, Sabbir; Al Marouf, Ahmed (6th International Conference on Communication and Electronics Systems (ICCES), IEEE, 2021-08-02)
    Chronic kidney disease is the reason for many deaths all over the world every year. Chronic kidney disease has troubled almost 753 million people all over the world in 2016, wherein 417 million are females and 336 million ...
  • 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 Cotton Leaf Disease Based on Image Classification Using Deep Learning 
    Prity, Fahima Sultana (Daffodil International University, 22-12-18)
    Cotton is one of Bangladesh's most important agricultural products, but it faces a number of challenges or constraints in the leaf. Most of the time, these constraints are identified as diseases and pests that are difficult ...
  • Predicting Depression Among the University Students in the Covid-19 Pandemic Situation Using Machine Learning Algorithms 
    Mojumdar, Hrithik; Asha, Afroza Rahman; Rahman, Mohammad Abdur (Daffodil International University, 2022-01-13)
    Depression is a very common word term. But the problem of depression is not normal. People think it is a disease but it is not a disease. This is a mental problem. People suffer from depression for various reasons. At ...
  • Predicting Depression Among University Students Using Machine Learning 
    Mowla, Sabiha (Daffodil International University, 23-01-18)
    Depression is a major disorder and a growing problem that impacts a person’s way of living, disrupting natural functioning and impeding thought processes while they might remain oblivious to the fact that they are suffering ...
  • Predicting Depression in Social Network Sites Using NLP 
    Hossain, Md. Tazmim; Talukder, Md. Arafat Rahman (Daffodil International University, 2021-09-09)
    Depression is an acute problem throughout the world, where more than 264 million people are suffering from it. Due to worst and prolong depression near around 800000 people dies in every year. The real problem is that ...
  • Predicting Employee Attrition using Explainable Machine Learning Algorithm 
    Sultana, Tazim (Daffodil International University, 22-12-15)
    Attrition is one of the most critical problems with employees that our society faces today. The most significant loss for a business is when employees leave. Almost every business today gives careful thought to how to keep ...
  • Predicting Fertilizer Treatment of Maize Using Decision Tree Algorithm 
    Jahan, Nusrat; Shahariar, Rezvi (Scopus, 2020)
    Machine learning approaches are progressively successful in image based analysis such as different diseases prediction as well as level of risk assessment. In this paper, image based data analysis with machine learning ...
  • Predicting Foreign Language Anxiety Using Machine Learning Algorithm 
    Abdullahi, Mohamed Abdikafi (Daffodil International University, 23-01-18)
    The number of journeys people take to change their lives is rising, and in order for a person to be able to adapt to this openness and realize the value of his travels, it is crucial that he learn a language other than his ...
  • 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 Hepatitis C Virus Using Machine Learning 
    Akter, Shahida (Daffodil International University, 23-02-18)
    A virus that causes called hepatitis C damages and incites the liver. Enlargement triggered by inflammation happens whenever bodily parts are hurt and diseased. Body parts could be harmed by irritation. Most of the world's ...
  • Predicting IMDb Rating of Movies by Machine Learning Techniques 
    Bristi, Warda Ruheen; Zaman, Zakia; Sultana, Nishat (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Film Industry is not only a industry or a centre of entertainment, rather it is now a centre of global business. All over the world is now excited about a movie's box office success, popularity etc. A huge data is available ...
  • Predicting Innovation Capability through Knowledge Management in the Banking Sector 
    Edeh, Friday Ogbu; Zayed, Nurul Mohammad; Nitsenko, Vitalii; Yermolenko, Olha Brezhnieva-; Negovska, Julia; Shtan, Maryna (Daffodil International University, 2022-07-17)
    Purpose: The purpose of this study was to investigate the effects of knowledge management on innovation capability in the banking sector. Research methodology: Cross-sectional research design was employed in this study as ...
  • Predicting Insomnia Using Multilayer Stacked Ensemble Model 
    Zulfiker, Md. Sabab; Kabir, Nasrin; Biswas, Al Amin; Chakraborty, Partha (Scopus, 2021)
    Different forms of sleep disorders have become major health problems among people around the world, and insomnia is one of them. It is a physical condition in which a person faces difficulties to fall asleep at night. It ...
  • Predicting Mobile Phone Usage While Driving: a Two Staged Partial Least Squares and Ann Approach 
    Mowri, Umma Kulsum (©Daffodil International University, 2021-09-17)
    Despite the numerous advantages of mobile phones, they are a major source of distractionfor drivers, making them a global worry.When using a smartphone while driving, whether hands-free or portable, the risk of an accident ...
  • 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 ...

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