Ishan Shivansh Bangroo

Ishan Shivansh Bangroo

In response to the global need for sustainable energy, green technology may help fight climate change. Before green infrastructure to be easily integrated into the world's energy system, it needs upgrading. By improving energy infrastructure and decision-making, artificial intelligence (AI) may help solve this challenge. EHVs have grown in popularity because to concerns about global warming and the need for more ecologically friendly transportation. EHVs may work better with cutting-edge technologies like AI. Electric vehicles (EVs) reduce greenhouse gas emissions and promote sustainable mobility. Electric automobiles (EVs) are growing in popularity due to their benefits for climate change mitigation and sustainable mobility. Unfortunately, EV production consumes a lot of energy and materials, which may harm nature. EV production is being improved using green technologies like artificial intelligence and predictive analysis. Electric and hybrid vehicles (EHVs) may help meet the need for ecologically friendly transportation. However, the Battery Management System (BMS) controls EHV performance and longevity. AI may improve EHV energy efficiency, emissions reduction, and sustainability. Remote hijacking, security breaches, and unauthorized access are EHV cybersecurity vulnerabilities addressed in the article. AI research and development may help make transportation more sustainable, as may optimizing EHVs and charging infrastructure.

Ishan Shivansh Bangroo, Samia Tahzeen

Epilepsy is a neurological illness that is characterised by continuous spasms of shaking, sometimes known as convulsions. Although there are effective treatments for epilepsy, such as drugs and surgery, there is still a group of individuals who have intractable epilepsy that fails to respond to standard methods. Intractable epilepsy is a severe neurological illness that ripples across the globe and impacts millions of individuals. It is extremely difficult to control intractable epilepsy, which is defined as the lack of response to two or more standard antiepileptic medication treatments. In recent years, the use of programmable electrical stimulation of the brain has shown promise as a digital treatment strategy for lowering seizure frequency in individuals with intractable epilepsy. In this research, the use of Amenable Neurostimulation (ANS) as part of a digital treatment strategy to intractable epilepsy is investigated. When applied to the brain, ANS uses a closed-loop system to selectively stimulate neurons in the affected areas, therefore lowering the frequency of seizures. In addition, the report describes the design and execution of a pilot research employing ANS to treat intractable epilepsy, including patient selection criteria, device settings, and outcome measures. The findings of this pilot research point to the possibility that ANS might be a realistic and successful therapy option for people afflicted with intractable epilepsy. This paper demonstrated the prospects of digital medicines in treating complicated neurological illnesses and recommends future routes for research and development in this field.