B.Tech. Mechanical & Automobile Engineering (Lateral Entry)
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The Department of Mechanical & Automobile engineering is well known for highly qualified and dedicated faculty and technical staff. Students are trained to become top-quality engineers, owing to the Department’s internationally accepted programs. Students of the department are working on projects based on recent development in Engineering and Technology. The department has an adaptive teaching-learning process. Read More:- https://btecheve.lingayasuniversity.edu.in/b-tech-automobile-lateral-entry/
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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
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Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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B.Tech. Mechanical & Automobile Engineering (Lateral Entry)
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- 5. Programme Features • Course is of six semesters with classes in evening, weekends and holidays. Practicals are held each Saturday. • Students can access learning material in various formats: text, video lectures and audio anytime from everywhere through a Learning Management System. • Students learn to build up the technical skills to enhance their professional value. • Provide necessary conceptual foundation, and appropriate understanding of real-world applications. 5
- 6. • Highly Qualified, Experienced & Dedicated Teaching Faculty • Labs Having State Of Art Facility For The Experimental Work • Providing Quality Education To Students. • Singular Objective Is To Facilitate And Promote Studies And Research • Focus On Future Opportunities Enrichment • Learning Management System (LMS) Why Us? 6
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