Deep Learning Approaches for Graph Similarity Computation: A Review
Graph-structured data is increasingly prevalent in many real-world applications such as social networks, biological systems, molecular chemistry, and knowledge graphs.
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Dr. Varsha Kiran Bhosale, Associate Professor
Dnyanshree Institute of Engineering and Technology, Maharashtra, India, 415013
Email :
Institutional Profile Link: https://dnyanshree.edu.in/Degree-programs/CSE/DOC/VKB_CV.pdf
Graph-structured data is increasingly prevalent in many real-world applications such as social networks, biological systems, molecular chemistry, and knowledge graphs.
The integration of advanced artificial intelligence technologies into modern agriculture has become increasingly important for narrowing the persistent knowledge gap faced by farmers, especially in regions with limited access to expert advisory services.
This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security.
In the non-technological world, assessment is inflexible, catering for the diverse ability range of test takers which automatically leads to sub-optimal assessment, and sub-optimal engagement with the assessment.
The Insurance Chatbot for Customer Support is an AI inspired solution designed to streamline customer interactions within the insurance industry.
Feature engineering plays a crucial role in developing reliable and high-performing predictive models.