National Conference on Sustainable Innovations in Computer Science and Engineering (NCSICSE’2024), Volume 2

National Conference on Sustainable Innovations in Computer Science and Engineering (NCSICSE’2024), Volume 2 brings together 57 research papers examining emerging technologies, computational methods, and practical engineering applications. The proceedings connect academic research with real-world technological needs across artificial intelligence, machine learning, data analytics, computer vision, cybersecurity, healthcare, intelligent systems, IoT, networking, optimization, and sustainable engineering.

It will enable you to:

• Explore contemporary research across Computer Science and Engineering.
• Study practical applications of artificial intelligence and machine learning.
• Examine deep learning, NLP, computer vision, and recommendation-system approaches.
• Understand research applications in healthcare prediction and intelligent diagnostic systems.
• Explore cybersecurity, network intrusion detection, proxy/VPN detection, and secure-access technologies.
• Review AI and IoT applications for smart mobility, campus systems, and connected environments.
• Study machine-learning approaches to fraud, finance, loan approval, and predictive analytics.
• Examine blockchain, OCR, intelligent automation, and web-based system development.
• Understand engineering optimization, manufacturing analysis, and computational decision methods.
• Compare experimental methodologies, model evaluation strategies, and implementation architectures.
• Discover interdisciplinary research focused on practical relevance, scalability, and sustainability.

Who should read?

• Computer Science and Engineering students.
• Undergraduate and postgraduate researchers.
• Faculty members and academic researchers.
• Artificial intelligence and machine learning practitioners.
• Data science and computer vision researchers.
• Software, IoT, networking, and cybersecurity professionals.
• Readers interested in interdisciplinary and sustainable technology research.