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Browsing by Subject "Datasets"

Browsing by Subject "Datasets"

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  • "Analysis of Financial Statement”: A case Study of Linkedsage Ltd 
    Rumpa, Sharmila Karmakar (Daffodil International University, 23-01-06)
    This is an analysis of Linkedsage Ltd’s Financial performance. I obtained data for the previous years from company in order to analyze linkedsage Ltd’s financial performance. I have calculated and examined the ratio using ...
  • BTSD: A Curated Transformation of Sentence Dataset for Text Classification in Bangla Language 
    Das, Rajesh Kumar; Islam, Mirajul; Khushbu, Sharun Akter (Elsevier, 2023-07-24)
    The Bangla Transformation of Sentence Classification dataset addresses the resource gap in natural language processing (NLP) for the Bangla language by providing a curated resource for Bangla sentence classification. With ...
  • Detect Cyberbullying From Social Media on Bangla Text 
    Asif, Imtiaz Ahmmed; Roy, Apurbo (Daffodil International University, 23-02-18)
    The potential of social media is growing as more people use it every day. However, as more people use social media, bullying is also becoming more common in the comment sections of posts by well-known users and viral ...
  • Detection of Tomato Diseases Leaf Symptoms Using Image Processing Deep Learning Based Approach 
    Islam, Md. Arifin (Daffodil International University, 23-01-18)
    Tomato is most popular vegetable all over the world. It’s cultivated of high nutritive value. During cultivation tomato leaves expose too many problems and diseases like blight, bacterial spot, early blight, healthy, late ...
  • Diabetes Feature Extraction Through Machine Learning Approach 
    Islam, Rafiul; Nahid, MD Nabil Ahmed (Daffodil International University, 23-01-18)
    There are a number of individuals who suffer from diabetes mellitus, definitely among the most popular severe diseases. Diabetic mellitus can be caused by a variety of factors, including age, obesity, inactivity, genetics, ...
  • An Efficient Way to Detect Musculoskeletal Disease through X-Ray Images Using Layer-freezing Technique 
    Anika, Annur (Daffodil International University, 23-07-22)
    Musculoskeletal diseases require immediate attention to avoid chronic issues since they impact over 1.7 billion individuals globally. Radiographic images frequently identify musculoskeletal illnesses and abnormalities in ...
  • Exploring the Novel Computational Drug Target and Associated Key Pathways of Oral Cancer 
    Unknown author (Daffodil International University, 2022-08)
    Oral cancer (OC) is a serious health concern that has a high fatality rate. The oral cavity has seven kinds of OC, including the lip, tongue, and floor of the mouth, as well as the buccal, hard palate, alveolar, retro molar ...
  • Flow-Based Network Intrusion Detection System Using Decision Tree Over Big Data 
    Rahman, Afroza; Jame, Tanjina Akter; Amin, Al (Daffodil International University, 23-01-29)
    In computer networks with constantly increasing traffic volumes, flow-based NIDS is the best option for detecting intrusion attempts. In recent years, different machine learning algorithms have been used to detect intrusions ...
  • Hand Gesture Recognition or Segmentation Using a Convolutional Neural Network with Synthetic Data Augmentation for Classification 
    Hossain, Billal (Daffodil International University, 23-01-29)
    Recognition of hand gestures is a crucial component of human connection and communication. Hand gesture recognition can be used to overcome linguistic barriers as well as facilitate user engagement in the human-computer ...
  • 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 ...
  • Local Pothole detection using deep learning techniques 
    Tanvir., Md. Rakib (Daffodil International University, 2024-01-29)
    Potholes are surface irregularities on roads that are deeper than 20 mm and extend more than 75 mm horizontally. They can be caused by a number of circumstances, including poor construction, water buildup during the rainy ...
  • A Machine Learning Approach for Risk Factors Analysis and Survival Prediction of Heart Failure Patients 
    Ali, Md. Mamun; Al-Doori, Vian S.; Mirzah, Nubogh; Hemu, Asifa Afsari; Mahmud, Imran; Azam, Sami; Al-tabatabaie, Kusay Faisal; Ahmed, Kawsar; Bu, Francis M.; Moni, Mohammad Ali (Elsevier, 2023-04-18)
    In this study, we propose machine learning (ML) for risk factors analysis and survival prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML methods are applied to the dataset: Decision ...
  • A Machine Learning Approach To Predict the Chances of Drooping out Students Due to COVID-19 in University Perspective Bangladesh 
    Islam, MD. Amirul; Rahman, MD. Hasanur; Tabassum, Most. Saira (Daffodil International University, 23-01-29)
    The difficulties of COVID 19 have exposed humanity to some terrible truths. The pandemic's grip has severely harmed a number of industries, including education. Numerous days of school, college, and university closures ...
  • Machine Learning Approach to Predict Tomato Leaf Disease 
    Akter, Shumaya (Daffodil International University, 2023-09-02)
    The machine learning approach used in this thesis uses a large dataset of leaf photos and associated disease labels to predict tomato leaf diseases. A large number of tomato leaf photos, comprising both healthy and diseased ...
  • Malignant Comment Classification Using Machine Learning Model 
    Islam, Fokhrul; Ray, Chanchal (Daffodil International University, 23-01-29)
    Online comments that are visible in public spaces typically contain a big percentage of constructive comments, but a sizeable percentage also contain toxic comments. Online datasets are collected and cleaned of noise. As ...
  • Movie Recommendation Using Unsupervised Method 
    Chakma, Dibyo (Daffodil International University, 23-01-18)
    Everyone in our hectic world is occupied with their personal and professional lives. There is a maximum number of people who can watch movies in theaters or read books while passing the time. These days, online services ...
  • Plant Species Classification Using Neural Network 
    Anik, Asiqur Rahman; Rabbi, MD. Fazle (Daffodil International University, 23-02-18)
    The task that is done in our project is to classify and identify the species of different plant using neural network. The work is done mainly for removing the problems that arises when classifying different types of plants ...
  • 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 ...
  • A Promising Prediction of Diabetes Using a Deep Learning Approach 
    Shakil, Rashiduzzaman; Akter, Bonna; Faisal, Fahad; Chowdhury, Tahmid Rashik; Roy, Tonmoy; Khater, Ankit (Daffodil International University, 2022-01-06)
    Diabetes is a collection of metabolic illnesses caused by a persistently high blood sugar level. If a reliable estimation is achievable, diabetes risk factors and severity can be reduced. In diabetes datasets, consistent ...
  • Real Time Human Emotion Detection on Video Call 
    Sarkar, MD. Shourov (Daffodil International University, 23-02-18)
    'Emotion detection on Video Calls' is a challenge when the device camera takes a video with a screen framerate. Then it will compare that photo with the video by using a dataset. We have taken this clue from online, like ...

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