Engineering

ESP32 GPIO Pins Explained: Pinout, Functions and Applications ESP32 GPIO pins support digital input/output, analog sensing, PWM control, and communication with external devices. Explore the ESP32 GPIO pin diagram, individual pin functions, pin limitations, and practical Arduino IDE examples. Learn how to select the right …
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Spanning Tree in Data Structure: Properties, Algorithms and Applications A spanning tree in data structure is a subgraph that connects all vertices of a connected graph without forming cycles and contains exactly V − 1 edges. A Minimum Spanning Tree (MST) minimizes the total edge …
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Heap Data Structure: Types, Operations & Heap Sort A heap is a complete binary tree that follows the max heap or min heap property to organize data efficiently. Learn how heap insertion, deletion, heapify operations, and array representation work with step-by-step examples. Explore heap sort, …
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Linux Kernel Modules: How to Build and Load Your First Module Linux kernel modules are pieces of code that can be loaded into or removed from the Linux kernel without rebuilding the entire kernel. They are widely used for device drivers, hardware support, networking, and …
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Watchdog vs Brown-Out Reset: Understanding Microcontroller Reset Mechanisms A watchdog timer detects when firmware fails to service it within the expected time, while a brown-out reset responds to an insufficient microcontroller supply voltage. STM32 microcontrollers may support watchdog mechanisms such as IWDG and WWDG, along …
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TinyML Quantization: Reduce Neural Network Size for MCUs TinyML quantization reduces neural network size by converting FP32 weights into lower-precision formats such as INT8, helping microcontrollers save memory and improve inference efficiency. Techniques such as post-training quantization and quantization-aware training help optimize models while maintaining …
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How to Reduce RAM and Flash Memory Usage in Embedded C Embedded C memory optimization helps reduce RAM consumption and Flash memory usage in resource-constrained microcontrollers. Key techniques include choosing appropriate data types, using const for read-only data, reducing array and buffer sizes, optimizing structure …
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ESP32 TensorFlow Lite Micro: Model Deployment Guide This tutorial explains how to deploy a machine learning model on ESP32 using TensorFlow Lite Micro. It covers dataset preparation, model training, TensorFlow Lite conversion, quantization, C-array generation, embedded inference, memory management, troubleshooting, and practical TinyML applications. Machine …
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FastAPI vs REST API in Python: What Is the Real Difference? Learn the real difference between FastAPI and REST API in Python, compare FastAPI with Flask and Django REST Framework, and explore code examples, validation, async support, and API documentation. If you are learning Python …
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Best Job-Oriented Courses for EEE Graduates in 2026 EEE graduates can explore several job-oriented courses to develop industry-relevant skills after engineering. Popular options include Embedded Systems, VLSI Design, Electric Vehicle Technology, PLC and SCADA, Industrial Automation, IoT, Data Science, Software Development, and Renewable Energy. The …
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