The proposed work integrates "Data Analytics and Predictive Technologies" by employing real-time sensor data (e.g., soil moisture, rainfall, vibration) to examine environmental patterns. Predictive algorithms are included in the IP core to dynamicall
The simulator will allow users to interact with a virtual environment in real time, where their physical actions—such as pedaling, steering, or braking—are captured through sensors and interpreted by software to simulate realistic riding experien
Enables real-time accident detection through multi-agent environment interaction, supporting query-based content retrieval from large, distributed multi-camera video feeds processed directly at the edge cameras, ensuring low-latency and contextaware
It integrates physical components—sensors (e.g., optical, thermal, or LiDAR) deployed via drones or satellites to capture forest imagery—with cyber components, including deep learning algorithms (e.g., CNNs) for real-time data processing and anal
Employs predictive deep learning models (e.g., GANs, CNNs) to synthesize realistic face images from incomplete visual inputs (sketches). Uses facial recognition models to predict the most likely identity of a suspect from among thousands of records
The project employs advanced algorithmic techniques, such as graph embeddings and domination strategies-to model, analyze, and optimize sensor deployment and monitoring in underwater environments.
There are four modules proposed in this project: (1) develop a drone prototype to locate fire victims for faster rescue, (2) create an integrated system for quantitative pipeline flaw assessment using RoV data, (3) design a power-line interface for t
The project involves developing a humanoid for elderly/patient care, including a survey to define navigational environments, autonomous navigation with obstacle avoidance, multimodal person identification, sound source localization via microphone arr
The project focuses on UAV-based analysis of crop residues, including (I) measuring crop residue yield through plant height and canopy coverage in sorghum and groundnut, (II) assessing residue quality via color indicators for nitrogen content and dig
The project develops an active fault-tolerant control system for VTOL-UAVs using a companion computer interfaced with autopilot hardware. It includes actuator and sensor fault analysis, fault detection, switched adaptive controller design, fault-awar
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