European Journal of Theoretical and Applied Sciences, 2024
Generative Artificial Intelligence (GenAI) has emerged as a transformative technology in healthca... more Generative Artificial Intelligence (GenAI) has emerged as a transformative technology in healthcare transforming various aspects of the healthcare industry, such as medical imaging, drug design, synthetic data generation, etc. In this systematic review, we analyze 87 research articles that explore the application of GenAI technologies such as Generative Adversarial Networks (GANs), Diffusion Models, Large Language Models (LLMs), and Variational Autoencoders (VAEs) across these domains. This review addresses several key research questions: which generative models are most frequently used in these applications, the main applications of GenAI in healthcare, the datasets that facilitate their development, and the evaluation metrics used to assess these models. Our findings indicate that GANs, Diffusion Models, LLMs, and VAEs are the predominant models applied in healthcare. Additionally, we have provided a brief summary of each research article, focusing on their contributions to the field. We have specifically selected only original research studies for inclusion, ensuring the relevance and credibility of the papers reviewed. This review serves as a foundation for understanding the current state of GenAI in healthcare.
Wheat is a staple grain crop in the United States and around the world. Weed infestation, particu... more Wheat is a staple grain crop in the United States and around the world. Weed infestation, particularly grass weeds, poses significant challenges to wheat production, competing for resources and reducing grain yield and quality. Effective weed management practices, including early identification and targeted
Journal of Innovation in Engineering Education, 2022
The rising number of road accidents has been an increasing concern in recent years in the world. ... more The rising number of road accidents has been an increasing concern in recent years in the world. To ensure overall road safety, there is a need for a reliable system that could assist drivers to avoid road accidents. This study aims to find, analyze and develop reliable techniques and algorithms that can ensure the safety of the drivers by minimizing the factor of human error in most road accidents. By focusing on the above concerns, we proposed a system in which an electronic device is used in the vehicles to assist drivers by providing accurate and reliable data about the road environment with the help of different sensors, ensuring overall road safety. The system uses a camera module for visual feed to the system and has an ultrasonic sensor to sense different obstacles on the rear side of the model car. Two convolutional neural networks (CNNs) have been compared and the best one has been selected for object detection and recognition in this system. The system has the feature of alerting the driver if the vehicle departs from its circumscribed lane. The system is effective in applications like blind-spot monitoring, forward collision warning, and so on.
International Research Journal of Engineering and Technology (IRJET), 2024
Monitoring soil health is a tedious and timeconsuming task that requires intensive laboratory tes... more Monitoring soil health is a tedious and timeconsuming task that requires intensive laboratory testing. Soil testing is a multi-step process that involves sample collection, proper packaging, and sending the soil to the nearest laboratory. The entire process requires a significant amount of time and resources and hence, it is not feasible to get real time soil health data from this approach. With the advancements in sensor technologies and data transmission protocols, it is now possible to monitor, collect, extract, analyze, and store real-time in-situ soil health data. In this article, we propose an IoT-based real-time soil health monitoring system using ESP32S3 that can measure soil moisture, electrical conductivity, pH, ultraviolet radiation, temperature, nitrogen, phosphorus, and potassium content of the soil. The system can choose from three communication protocols, Wi-Fi (IEEE 802.11), Global System for Mobile Communications (GSM) and Long Range (Lo-Ra) mesh networking based on their suitability to ensure real-time data transmission from the sensor units to the centralized server. The server also hosts a user-friendly web application interface for real-time visualization of soil parameters. The system is aimed at helping farmers or other stakeholders to take data-driven informed decisions to enhance crop yields in any cropping system.
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Papers by Grishma Ojha