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Browsing by Subject "Algorithms"

Browsing by Subject "Algorithms"

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  • 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 ...
  • Fuzzy-Oriented Anomaly Inspection in Unmanned Aerial Vehicle (UAV) Based on MEMS Accelerometers in Multimode Environment 
    Ghazali, Mohamad Hazwan Mohd; Rahiman, Wan (IEEE, 2023-08-14)
    Apart from brushless dc (BLdc) motors, structural components that makeup the unmanned aerial vehicle (UAV) are also critical. Failure in the UAV’s structure may put the UAV at risk and eventually lead the UAV to crash. In ...
  • Game Playing Effects on Academic Performance of University Students 
    Rahman, MD. Mizanur (Daffodil International University, 23-01-18)
    This thesis titled “Effects on university students' education by playing online games in Bangladesh using data mining techniques” is used to determine how online game affects students' education. So that the student can ...
  • Gender Recognition using Smartphone Usage Pattern 
    Dey, Piyal (Daffodil International University, 22-09-13)
    In today's world, mobile phones can quickly establish long-distance interconnections and perform important tasks. For this reason, the number of smartphone users is increasing rapidly. Smartphones are used not only as an ...
  • Gerbera Flower Detection by Machine Learning Approach 
    Islam, Hasibul (Daffodil International University, 23-02-12)
    Gerbera species from South Africa were formally recognized for the first time in 1889. It is now protected in its native habitats across the tropics. The flower has become a common ornament for backyard gardens in many ...
  • Hate Speech Detection in the Bengali Language 
    Romim, Nauros; Ahmed, Mosahed; Talukder, Hriteshwar; Islam, Md Saiful (Daffodil International University, 2022-06-20)
    Hate speech is a common problem in the current time of social media and the internet as it is very easy to be in touch with everything through the internet and social media. Hate speech detection research is not very rare ...
  • High-Precision Multiclass Classification of Lung Disease Through Customized MobileNetV2 From Chest X-Ray Images 
    Shamrat, FM Javed Mehedi; Azam, Sami; Karim, Asif; Ahmed, Kawsar; Bui, Francis M.; Boer, Friso De (Elsevier, 2023-02-10)
    In this study, multiple lung diseases are diagnosed with the help of the Neural Network algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia, Pneumothorax, Atelectasis, Edema, Effusion, ...
  • Higher Education Student's Performance Evaluation Using Machine Learning Techniques 
    Efty, MD.Kamrul Hasan (Daffodil International University, 23-03-01)
    Failure and success in the classroom have real-world implications for achieving economic success in the knowledge-based economy. Using early detection markers (such as age, reading frequency, and CGPA), this research aims ...
  • House Rent Prediction in Dhaka City Using Machine Learning Approach 
    Hossen, Md Arman; Rahman, Md. Merazur (Daffodil International University, 23-01-29)
    Dhaka is a densely populated megacity in Bangladesh and day by day population of Dhaka city is increasing. People are frequently migrating to Dhaka. The main driving forces behind migration to Dhaka City are poverty, job ...
  • Human Activity Recognition Using Smartphone Sensors 
    Biswes, Sourabh Roy; Fahad, Rieaj Uddin; Swapno, Mirza Sadman Ahmed; Islam, Md. Ariful; Sattar, Abdus (IEEE, 2023-11-23)
    In day-to-day existence, people act on many tasks. It is vital to record and analyze the daily presence of individual people. Hence it could assist with relieving a few medical conditions and different issues. Human Activity ...
  • Human Face Recognition Using Eigenface, SURF Method 
    Shamrat, F.M. Javed Mehedi; Ghosh, Pronab; Tasnim, Zarrin; Khan, Aliza Ahmed; Uddin, Md. Shihab; Chowdhury, Tahmid Rashik (Springer, 2022-01-01)
    One such complicated and exciting problem in computer vision and pattern recognition is identification using face biometrics. One such application of biometrics, used in video inspection, biometric authentication, surveillance, ...
  • Human Physical Activity Recognition Using Smartphone Sensors 
    Biswes, Sourabh Roy; Fahad, Rieaj Uddin; Swapno, Mirza Sadman Ahmed (Daffodil International University, 23-01-29)
    In day-to-day existence, people act on many tasks. It is vital to record and analyze the daily presence of individual people. Hence it could assist with relieving a few medical conditions and different issues. Human Activity ...
  • Human Speech Emotion Classification Based on Bengali Language 
    Moon, Moontasir (Daffodil International University, 23-01-29)
    The research focuses on the task of human speech emotion recognition in the Bengali language. Due to the variety of ways that emotions may be communicated, it can be difficult to identify emotion from speech. Four different ...
  • Identifying the research field of a scientific paper from the abstract using deep learning approache 
    Sarker, Sudipto (Daffodil International University, 2024-01-24)
    This study explores the application of deep learning to automate the identification of research fields within scientific paper abstracts. The goal is to create a resilient model that effectively categorizes the primary ...
  • Image Analysis for Classifying Forest Fire Using Deep Learning 
    Saba, Sabrina; Hossain, Sazzad (Daffodil International University, 23-02-12)
    80% of all living things on earth depend on forests as part of their ecosystem for food and shelter. For most of their existence, Homo humans lived in forests. Forests are at risk from forest fires. Because woods exist, ...
  • Image Classification for Identifying Social Gathering Types 
    Yeasmin, Sumona; Afrin, Nazia; Saif, Kashfia; Imam, Omar Tawhid; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer Nature, 2021-10-21)
    Convolutional neural networks are current times state-of-art algorithms widely used in image classification. This paper has explored the image classification of social gatherings with state-of-the-art neural network models. ...
  • Improved Barnacle Mating Optimizer-Based Least Square Support Vector Machine to Predict COVID-19 Confirmed Cases with Total Vaccination 
    Ahmed, Marzia; Sulaiman, Mohd Herwan; Mohamad, Ahmad Johari (Association for Computing Machinery, 2023-03-01)
    Every country must have an accurate and efficient forecasting model to avoid and manage the epidemic. This paper suggests an upgrade to one of the evolutionary algorithms inspired by nature, the Barnacle Mating Optimizer ...
  • An Improved Optimization Algorithm-Based Prediction Approach for the Weekly Trend of COVID-19 Considering the Total Vaccination in Malaysia 
    Ahmed, Marzia; Sulaiman, Mohd Herwan; Mohamad, Ahmad Johari; Rahman, Mostafijur (Springer, 2023-05-28)
    SARS-CoV-2 is a multi-organ disease characterized by a wide range of symptoms, which also causes the severe acute respiratory syndrome. When it initially began, it rapidly spread from its origin to adjacent nations, infecting ...
  • Improving Image Compression with Adjacent Attention and Refinement Block 
    Jeny, Afsana Ahsan; Islam, MD Baharul; Junayed, Masum Shah; Das, Debashish (Daffodil International University, 2022-08-01)
    Recently, learned image compression algorithms have shown incredible performance compared to classic hand-crafted image codecs. Despite its considerable achievements, the fundamental disadvantage is not optimized for ...
  • Improving Image Compression with Adjacent Attention and Refinement Block 
    Jeny, Afsana Ahsan; Islam, MD Baharul; Junayed, Masum Shah; Das, Debashish (IEEE, 2022-02-23)
    Recently, learned image compression algorithms have shown incredible performance compared to classic hand-crafted image codecs. Despite its considerable achievements, the fundamental disadvantage is not optimized for ...

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