- Artificial Intelligence in Healthcare
- Plant Disease Management Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Machine Learning in Healthcare
- Food Supply Chain Traceability
- Hand Gesture Recognition Systems
- Biological Research and Disease Studies
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Gait Recognition and Analysis
- Human Pose and Action Recognition
- Emotion and Mood Recognition
- E-commerce and Technology Innovations
- Web Data Mining and Analysis
- COVID-19 diagnosis using AI
- Text and Document Classification Technologies
- Spam and Phishing Detection
- Smart Agriculture and AI
- Sentiment Analysis and Opinion Mining
The University of Texas at Dallas
2023
Huzhou University
2021-2022
Comilla University
2022
Noakhali Science and Technology University
2022
Jahangirnagar University
2022
In the modern era, everyone tries to be aware of their health, but because workload and hectic schedules, they only pay attention it when certain symptoms appear. However, CKD (Chronic Kidney disease) is a disease with no or, in some cases, at all, difficult predict, detect, prevent such disease, which could result long-term health damage. machine learning (ML) offers hope this situation excels prediction analysis. paper, we proposed nine ML approaches, as K-nearest neighbors (KNN), support...
Hearth disease is one of the leading causes death globally and a common in middle old ages. Among all heart diseases, attack strokes are most cardiac illness that responsible majority death. To identify for instance, Angiography costly has significant side effects. Therefore, machine learning can play an important role identifying predicting potential risk factor based on clinical patient data, which affordable reliable. This study proposed evaluated six models using survey data 400k US...
Ever since the medieval era, preponderance of our concentration has been concentrated upon agriculture, which is typically recognized to be one vital aspects economy in contemporary society. This focus on agriculture can traced back advent industrial revolution. Wheat still another type grain that, same way as other types harvests, satisfies necessity for essential nutrients that are required bodies perform their functions correctly. On hand, supply this harvest being limited by a variety...
Emotion classification holds significant importance in various domains. However, the development of accurate emotion models for Bengali language has been relatively limited, despite its vast speaker base. The unique characteristics present several challenges classification. Consequently, there is an urgent demand robust and contextually-aware tailored to linguistic nuances Bengali. This paper presents a comprehensive study on text, aiming develop effective specific language. We explored...
We propose a method attribute called Learning Frame Emotion Detection based on Hypergraph-based Support Vector Machine (SVM). A hypergraph is used in this HISVM to display various emotional relationships the results. Then topic of forecasting cast out as regularized problem Hypergraph cutting, where learns together sequence forecasts from functional space Embedded Space that harmonized with different emotions. The predictions learned was directly categorized by emotion. This compelling...
A variety of applications are available in data science. It would all support the agriculture sector after revolutionizing sectors like IT, retail, engineering, finance and health care. Data scientists also used for agricultural sector, such as soil temperature detector, plant weather air sensor, humidity PH detector soil, wind speed tracker, rain drop etc. Agriculture is backbone economy Bangladesh, creating jobs about half people Bangladesh. By now, Bangladesh has become world's third...