Intellectual-Property
🇨🇦 Canadian Copyright
ENERGY CONSUMPTION FORECASTING SYSTEM UTILIZING MACHINE LEARNING FOR SMART GRIDS
This official Canadian Copyright Certificate celebrates Drumil Joshi’s contribution as a co-author to the literary work titled “Energy Consumption Forecasting System Utilizing Machine Learning for Smart Grids.” Issued by the Canadian Intellectual Property Office (CIPO) under Innovation, Science and Economic Development Canada, the certificate marks the registration of this intellectual property on January 18, 2025, under registration number 1229865. Categorized as a Literary Work, the system represents a significant advancement in AI-driven energy forecasting for smart grids, reinforcing Drumil Joshi’s impact in applying machine learning to real-world energy systems.
🇬🇧 UK Design Grants
AI BASED CAMERA FOR AGRICULTURE USAGE 🇬🇧
Drumil Tejas Joshi contributed to the development of an AI-based camera designed specifically for agricultural applications. This innovative design, registered in the UK, combines advanced AI technology with imaging capabilities to support crop monitoring. By enabling real-time data collection and analysis, this camera helps farmers optimize crop health and productivity, representing a leap forward in precision agriculture and sustainable farming practices.
AIR QUALITY MONITORING SYSTEM POWERED BY RENEWABLE ENERGY 🇬🇧
Drumil Tejas Joshi was also part of a team that developed an air quality monitoring system powered by renewable energy, recently registered in the UK. This system focuses on providing accurate air quality assessments while relying on sustainable energy sources. By using renewable energy, the design minimizes environmental impact and promotes eco-friendly monitoring. This system offers a reliable, continuous solution for air quality tracking, supporting public health and environmental initiatives in both urban and rural settings.
🇮🇳 Indian AI Software Copyrights
AIR PASSENGER FORECASTING USING ARIMA & SARIMAX 🇮🇳
Computer software work implemented time series analysis for forecasting of air traffic using Arima and Sarimax libraries. The models were evaluated using root mean square error, mean absolute error and adjusted r squared
CLASSIFICATION OF HUMAN CHILD (FETUS) HEALTH FROM CARDIOTOCOGRAPHIC DATA USING MACHINE LEARNING TECHNIQUES 🇮🇳
Computer software work this work helps to find the health status of the growing fetus during trimester using adaptive applied probabilistic machine learning models and thus an accuracy of 94 has been achieved on prediction.
SMART WATER MANAGEMENT SYSTEM USING ARTIFICIAL INTELLIGENCE 🇮🇳
Computer software work an ai based system was developed which consisted of Esp 32 microcontroller, google firebase. Data was collected and the patterns were observed through machine learning and future prediction was done
CLOUD NATIVE APPLICATION FOR PREDICTION OF HURRICANES AND CYCLONES IN ATLANTIC & PACIFIC OCEAN USING MACHINE LEARNING 🇮🇳
OPTIMIZING BANK'S FINANCIAL RISK BY FORECASTING FUTURE NPA'S USING MACHINE LEARNING 🇮🇳
UK Design Patents
Copyrights
1.AI BASED CAMERA FOR AGRICULTURE USAGE
Drumil Tejas Joshi contributed to the development of an AI-based camera designed specifically for agricultural applications. This innovative design, registered in the UK, combines advanced AI technology with imaging capabilities to support crop monitoring. By enabling real-time data collection and analysis, this camera helps farmers optimize crop health and productivity, representing a leap forward in precision agriculture and sustainable farming practices.
1.Air passenger forecasting using Arima & Sarimax
Computer software work implemented time series analysis for forecasting of air traffic using Arima and Sarimax libraries. The models were evaluated using root mean square error, mean absolute error and adjusted r squared
2.AIR QUALITY MONITORING SYSTEM POWERED BY RENEWABLE ENERGY
Drumil Tejas Joshi was also part of a team that developed an air quality monitoring system powered by renewable energy, recently registered in the UK. This system focuses on providing accurate air quality assessments while relying on sustainable energy sources. By using renewable energy, the design minimizes environmental impact and promotes eco-friendly monitoring. This system offers a reliable, continuous solution for air quality tracking, supporting public health and environmental initiatives in both urban and rural settings.
2.Classification of human child (fetus) health from cardiotocographic data using machine learning techniques
Computer software work this work helps to find the health status of the growing fetus during trimester using adaptive applied probabilistic machine learning models and thus an accuracy of 94 has been achieved on prediction.
3.Smart water management system using artificial intelligence
Computer software work an ai based system was developed which consisted of Esp 32 microcontroller, google firebase. Data was collected and the patterns were observed through machine learning and future prediction was done
4.Cloud Native Application for Prediction of Hurricanes and Cyclones in Atlantic & Pacific Ocean Using Machine Learning.