ARTIFICIAL INTELLIGENCE PROJECT LIST 2019-2020

ABOUT ARTIFICIAL INTELLIGENCE PROJECT 2019 – 2020

In Computer Science AI Research Is Defined As The Study Of “Intelligent Agents”: Any Device That Perceives Its Environment And Takes Actions That Maximize Its Chance Of Success At Some Goal.

 

SNO Projects List
1 A Distributed Explicit Rate Schemes in Multi-Input-Multi-Output Network Systems
2 A New Approach for Authentication using Water marking Technique
3 Advance Secure ATM Transaction Using Biometric Fingerprint Technology
4 Dynamics of Malware Spread in Decentralized Peer to Peer Networks
5 Mobility Management Schemes Based on Pointer Forwarding for Wireless Mesh Networks
7 A Competitive Study of Cryptography Techniques over Block Cipher
8 A New Approach for FEC Decoding Based on the BP Algorithm in LTE and WiMAX Systems
9 Minimizing Delay and Maximizing Lifetime for Wireless Sensor Networks With Anycast
10 Dynamic Routing for Reducing the Compromised Node Attacks
11 Designing routing protocols for mobile ad hoc network
12 Lossless Compression and information hiding in images using Steganography
13 Video Stegnography Using Mordell Curve Cryptography Technique
14 Dynamic Channel Allocation for wireless zone-based Multicast and Broadcast Service
15 Intrusion detection An Energy efficient approach
16 Balancing Revocation and Storage Trade Offs in Secure Group Communication
17 Ontology Based Business Process Customization for Composite Web Services
18 A foundation for stochastic bandwidth estimation of networks with random service
19 On the Information Flow Required for Tracking Control in Networks of Mobile Sensing Agents
20 Caching Scheme for Distributed Data Processing in Peer-to-Peer Environments
21 Restoring Inter node connectivity using Rim algorithm
22 Robust Video Data Hiding Using Forbidden Zone Data Hiding and Selective Embedding
23 Optimized Resource Allocation for Software Release Planning
24 A Unified Approach to Optimizing Performance in Networks Serving Heterogeneous Flows
25 Evaluating the Vulnerability of Network Traffic Using Joint Security and Routing Analysis