A5092592972- COVID-19 diagnosis using AI
- Neural Networks and Applications
- Blockchain Technology Applications and Security
- IoT and Edge/Fog Computing
- Sentiment Analysis and Opinion Mining
- Artificial Intelligence in Healthcare
- Brain Tumor Detection and Classification
- Advanced Neural Network Applications
- Smart Systems and Machine Learning
- Food Waste Reduction and Sustainability
- Internet of Things and AI
- Data Mining Algorithms and Applications
- Age of Information Optimization
- Cloud Data Security Solutions
- Radiomics and Machine Learning in Medical Imaging
- Pneumonia and Respiratory Infections
- Recommender Systems and Techniques
- Digital Marketing and Social Media
- Advanced Memory and Neural Computing
- Web Data Mining and Analysis
- Topic Modeling
- Caching and Content Delivery
- EEG and Brain-Computer Interfaces
- Machine Learning and ELM
- IoT Networks and Protocols
Indiana State University
2023-2024
University of North Texas
2024
Chatbots are AI-powered programs designed to replicate human conversation. They capable of performing a wide range tasks, including answering questions, offering directions, controlling smart home thermostats, and playing music, among other functions. ChatGPT is popular AI-based chatbot that generates meaningful responses queries, aiding people in learning. While some individuals support ChatGPT, others view it as disruptive tool the field education. Discussions about this can be found...
According to experts in neurology, brain tumours pose a serious risk human health. The clinical identification and treatment of rely heavily on accurate segmentation. varied sizes, forms, locations make automated segmentation formidable obstacle the field neuroscience. U-Net, with its computational intelligence concise design, has lately been go-to model for fixing medical picture issues. Problems restricted local receptive fields, lost spatial information, inadequate contextual information...
Nearly six billion people globally use smartphones, and reviews about smartphones provide useful feedback concerning important functions, unique characteristics, etc. Social media platforms like Twitter contain a large number of such containing from customers. Conventional methods analyzing consumer as business surveys or questionnaires focus groups demand tremendous amount time resources, however, Twitter’s are unstructured manual analysis is laborious time-consuming. Machine learning deep...
Within the realm of e-commerce networks, it is frequently observed that certain users exhibit behavior patterns differ substantially from normative behaviors exhibited by majority users. The identification these atypical individuals and understanding their behavioral are significant practical significance in maintaining order on platforms. One such method for accomplishing this objective entails examining tendencies through abstraction networks as heterogeneous information networks. These...
Abstract A large number of nodes, and significant system overhead are among the challenges. To tackle these problems, a new PBFT technique known as trace-PBFT (t-PBFT) is being contemplated for adoption in food supply chain. The algorithm, short Practical Byzantine Fault Tolerance, serves fundamental algorithm. linkages throughout chain may be categorized into three primary groups. As response to continuing discussion over amount data, status each node continuously updated real time. This...
Pneumonia is a dangerous disease that kills millions of children and elderly patients worldwide every year. The detection pneumonia from chest x-ray perpetrated by expert radiologists. cheaper most often used to diagnose pneumonia. However, x-ray-based diagnosis requires radiologists which time-consuming laborious. Moreover, COVID-19 have similar symptoms leads false positives. Machine learning-based solutions been proposed for the automatic prediction X-rays, however, such approaches lack...