Mayur Rele

• Master of Science
• Senior Director at Parachute Health

Integrating developing technology and data analytics in smart grids has raised apprehensions over security and privacy. This review article examines the techniques and procedures employed in secure data analytics for smart grids. It uses these approaches to improve grid monitoring, discover anomalies, and make accurate forecasts. It also emphasizes...

After seeing the success of the Bitcoin blockchain, many assume that the data in a blockchain would only be for financial transactions, but it is not particularly limited to that, the data can be anything of value. It depends on the network and the industry that they are in, it could be transactions or quantity, timestamps, a location, or any other...

The existing battery management systems perform many functions, such as simply monitoring the battery's voltage, current, and temperature for the most basic and compensating energy imbalances between battery cells for the most advanced systems. In this last example, the function balancing helps protect the battery from obtaining a better lifespan....

Securing sensitive user information and maintaining privacy during authentication and authorization processes is crucial in today’s interconnected digital world. This study investigates new approaches to tackle these obstacles by combining blockchain technology with Trusted Execution Environment (TEE). The proposed system introduces a new method th...

The goal of text summarization, a crucial task in natural language processing (NLP), is to reduce enormous amounts of text into brief summaries while retaining the most important details. The development of cloud computing and improvements in machine learning have opened new possibilities for improving the effectiveness and precision of text summar...

This study examines the optimal scheduling and routing of electric vehicles across multiple time periods to reduce battery consumption and commute times. The objective is to convey products to consumers using a fleet of electric vehicles as efficiently as feasible. This hybrid solution addresses this issue and combines the most advantageous aspects...

Liver disease is a global health concern of significant magnitude, necessitating early and accurate diagnosis for effective treatment. Conventional diagnostic methods are often laborious and susceptible to human errors. This research paper embarks on a journey to harness the potential of diverse Machine Learning (ML) models, encompassing Logistic R...

The growing focus on solar energy has led to an expansion of large solar energy projects globally. However, the appearance of shades in large-scale photovoltaic arrays drastically decreases the output power and several peaks of power in the P–V characteristics. The most commonly adopted total cross tie (TCT) interconnection patterns that effectivel...

Introduction: The utilization of solar energy in large-scale photovoltaic arrays has gained immense popularity on a global scale. However, shadows in the array lead to significant reductions in power output and create multiple power peaks in the P-V characteristics. To address this issue, the Total Cross Tie (TCT) interconnection pattern is commonl...

The explosive growth of the Internet of Things (IoT) has created unprecedented cybersecurity challenges and opportunities. As the Internet of Things expands to include more connected devices, it becomes more difficult to safeguard the security and privacy of sensitive data. In this context, artificial intelligence (AI) has become a potent instrumen...

This paper presents a comprehensive investigation into the application of intelligent neural networks for energy management in microgrids with prioritized electric vehicle (EV) charging. With the rising popularity of EVs as a sustainable mode of transportation, effective management of their charging and discharging while minimizing the impact on th...

This paper investigates the use of transfer learning in MRI-based brain tumor detection. The goal is to develop a reliable and efficient model for accurately classifying brain tumors, addressing the challenging task of interpreting complex and variable tumor characteristics. By leveraging transfer learning, the model can benefit from prior knowledg...

The paper presents the discussion and design of a rectenna at 2.45GHz wireless frequency. Rectenna consists of an integration of an antenna and a rectifier circuit. A patch rectenna with FR-4 substrate is designed to map a dip at 2.45GHz to capture Wi-Fi signals and consume power -11.92db. The rectifier circuit includes a bridge rectifier, and inst...

A threat can be anything that causes potential damage to the network system. These threats can turn out to be a attack to the system. Threat may occur in any forms like viruses, outright attack, and phishing attack from hackers to gain information. Such attacks put a user’s system and also business system at risks. Cyber security aims at the protec...