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Real-time 3D Scene Reconstruction and Localization of autonomous Ground vehicles in Unknown Environment

To solve the problem of 3D reconstruction in unknown and unstructured environments, using the data acquired through Stereo, 3D LiDAR, and IMU sensors and solve the real-time frame alignment and pose estimation problems.

Development of ceramic dielectric material potentially viable for microwave devices

Researchers are exploring new materials and microwaves to improve the interaction between electromagnetic waves and microwaves. The dielectric properties of materials determine their usefulness in the microwave regime. The Indian Space Research Organ

Development of a low cost highly sensitive & selective Nitric Oxide (NO) sensor for asthma diagnosis

Development of a methanol gasoline fuelled spark ignition engine

Development of a Multiscale Numerical Approach to investigation The Origin of Indentation size effect

Development of circuit building blocks using unique combination of solution based organic semiconductor technology & microelectronic technology

IMPacting Research INnovation and Technology (IMPRINT-2)

The Ministry of Human Resource Development (MHRD) now Ministry of Education (MoE) of the Government of India launched the innovative technology development program IMPACTing Research, INnovation and Technology (IMPRINT) to convert research findings i

Trustme: Explainable Adversarial Attack Detection and Mitigation for Object Recognition Algorithms

To address the challenge of adversarial attacks for deep learning algorithms for object recognition algorithms and ensure dependability of a machine learning algorithm such that the input data is not attacked and the attack is mitigated.

Non-Invasive Diagnosis of Coronary Artery Disease using miRNA & coroanry imaging

Identification of non-invasive biomarkers for CAD. To achieve this goal, we have designed this study to identify putative miRNA backed up with the intra-coronary imaging data. This approach is helping us to understand the underlying molecular mechani

Evaluation and development of Machine Learning (ML) models for the automated detection, localisation and characterisation of traumatic rib fractures on CT scans

An annotated and expert reviewed dataset Evaluation results of existing Machine Learning (ML) models and Deep Learning (DL) architectures using created dataset. A novel machine learning (ML) model A model for automatically generating a structured tex