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Showing posts from August, 2025

🎥 PALM PRINT BIOMETRICS RECOGNITION | Deep Learning & Artificial Intelli...

🎥 PALM PRINT BIOMETRICS RECOGNITION | Deep Learning & Artificial Intelligence 🔗 Watch: • 🖐🤖 Palm Print Recognition with AI & Deep Learning Tutorial 🌟 Why watch? Palm print biometrics offers high accuracy, security, and spoof-resistance for authentication systems. With deep learning CNN models, palm print features can be extracted and classified for real-time identity verification in security, finance, and access control applications. 🎯 Key Topics Covered: Palm print biometrics basics & advantages over fingerprint/face recognition Image acquisition & preprocessing (noise removal, ROI extraction) Deep learning with CNN for palm feature extraction Training & testing models using palmprint datasets Real-world applications in security, banking, and border control Performance metrics: accuracy, FAR, FRR, and processing speed 👩‍🏫 Great For: AI & deep learning students and researchers Biometrics & security engineers Final-year projects (B.Tech/M.Tech/PhD)...

UAV Moving Mass Control with Sliding Mode Control (SMC) | MATLAB Simulin...

🎥 MATLAB Simulation of UAV with Moving Mass Control Based on SMC | Sliding Mode Control 🔗 Watch:     • UAV Moving Mass Control with Sliding Mode ...   🌟 Why Watch? Explore an advanced MATLAB simulation where a UAV adjusts its attitude using a sliding mode control strategy by manipulating an internal moving mass. This video covers robust control design, dynamic modeling, and real-time response under nonlinear and uncertain conditions. 🎯 Key Topics Covered: Moving mass control theory for UAV stabilization Sliding Mode Control (SMC) fundamentals and design Integration of SMC with moving mass dynamics Implementation in MATLAB Simulink Attitude response, trajectory tracking, and robustness analysis Comparison with traditional control approaches 👩‍🏫 Great For: Aerospace & mechanical engineering students Control systems researchers and practitioners Final year B.Tech/M.Tech/MSc/PhD projects Anyone interested in adv...

⚙️ Ricardo WAVE 4-Cylinder Engine Simulation | Naturally Aspirated Engin...

🎥 Ricardo WAVE Four-Cylinder Engine Without Turbocharger | Engine Simulation Tutorial 🔗 Watch:     • ⚙️ Ricardo WAVE 4-Cylinder Engine Simulati...   📦 Get Project Files / Assignment Help: 🌐 www.matlabprojectscode.com 📱 WhatsApp: https://wa.me/+918300015425 📧 matlabprojectscode@gmail.com ⚙️ Why Watch? Discover how to simulate a naturally aspirated four-cylinder engine (without a turbocharger) using Ricardo WAVE. This tutorial walks you through the basics of 1D CFD engine simulation, setting up the model, analyzing cycle performance, and interpreting outputs. 🎯 Key Topics Covered: Ricardo WAVE basics and project setup Four-cylinder naturally aspirated engine modeling Intake, exhaust, and cylinder configuration Analyzing cylinder pressure, torque, and efficiency Performance curves under different operating conditions Comparison with turbocharged engine modeling 👩‍🏫 Great For: Mechanical & automotive engineering stude...

⚙️ Ricardo WAVE 4-Cylinder Engine Simulation | VGT Turbocharger Performa...

🎥 Ricardo WAVE Four-Cylinder Engine with VGT Turbocharger | Engine Simulation Tutorial 🔗 Watch:     • ⚙️ Ricardo WAVE 4-Cylinder Engine Simulati...   ⚙️ Why Watch? Dive into a practical tutorial showcasing how to simulate a four-cylinder engine equipped with a Variable Geometry Turbocharger (VGT) using Ricardo WAVE. Learn the fundamentals of one-dimensional CFD modeling, turbocharger integration, and performance analysis—all using industry-standard simulation software. 📦 Get Project Files / Assignment Help: 🌐 www.matlabprojectscode.com 📱 WhatsApp: https://wa.me/+918300015425 📧 matlabprojectscode@gmail.com 🎯 Key Topics Covered: Introduction to Ricardo WAVE and 1-D CFD engine modeling Setting up a four-cylinder engine model in Ricardo WAVE VGT turbocharger parameterization and control logic Building intake, exhaust, and junction flow networks Analyzing pressure, temperature, and torque outputs Parametric studies and perfor...