India's Progress in Space Exploration and International Legal Challenges in Meeting Goals within International Space Boundaries: A Review

India's journey towards space has been nothing short of remarkable. It began with the establishment of the Indian Space Research Organization (ISRO) in 1969, with the aim of harnessing space technology for national development. Since then, India has made significant strides in space exploration, satellite technology, and space research. One of the major milestones in India's space journey was the launch of the first Indian satellite, Aryabhata, on April 19, 1975. This marked India's entry into the exclusive club of space-faring nations. The success of Aryabhata paved the way for further advancements in space technology and inspired a generation of scientists and engineers

Evaluating the anticipated outcomes of MRI seizure image from open-source tool- Prototype approach

Epileptic Seizure is an abnormal neuronal exertion in the brain, affecting nearly 70 million of the world's population (Ngugi et al., 2010). So many open-source neuroimaging tools are used for metabolism checkups and analysis purposes. The scope of open-source tools like MATLAB, Slicer 3D, Brain Suite21a, SPM, and MedCalc are explained in this paper. MATLAB was used by 60% of the researchers for their image processing and 10% of them use their proprietary software. More than 30% of the researchers use other open-source software tools with their processing techniques for the study of magnetic resonance seizure image

Correlating Medi-Claim Service by Deep Learning Neural Networks

Medical insurance claims are of organized crimes related to patients, physicians, diagnostic centers, and insurance providers, forming a chain reaction that must be monitored constantly. These kinds of frauds affect the financial growth of both insured people and health insurance companies. The Convolution Neural Network architecture is used to detect fraudulent claims through a correlation study of regression models, which helps to detect money laundering on different claims given by different providers. Supervised and unsupervised classifiers are used to detect fraud and non-fraud claims