Introduction to Open Source Intelligence (OSINT) In our digitally connected world, vast amounts of information are publicly accessible, offering significant potential for intelligence gathering and informed decision-making. This realm is known as Open Source Intelligence (OSINT), which involves collecting, analyzing, and interpreting data from publicly available sources to derive actionable insights. Understanding Open Source Intelligence… Continue reading Intelligence Gathering (OSINT) 2025 Updated
Category: Analytics
Protected: Course Title: Spiking Neural Networks (SNNs)
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Protected: Facial Recognition
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Getting Started with EEG Neurofeedback (Second Edition)
The long-awaited update to Demos’s classic book for the practitioner looking to add neurofeedback. Neurofeedback training combines the principles of complementary medicine with the power of electronics. This book provides lucid explanations of the mechanisms underlying neurofeedback as well as the research history that led to its implementation. Essential for all clinicians in this field,… Continue reading Getting Started with EEG Neurofeedback (Second Edition)
Protected: 160 User Biometric Data Point Collecting
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Geofencing- Transforming Industries Through Location
Technology Introduction: In today’s digital era, location-based technology has gained immense importance across various industries. Geofencing, a powerful tool leveraging global positioning systems (GPS), radio frequency identification (RFID), or cellular data, has emerged as a game-changer. This blog post aims to provide an extended and detailed exploration of geofencing, including its definition, principles, applications, benefits,… Continue reading Geofencing- Transforming Industries Through Location
Common Models in Autonomous Vehicles, Unmanned Vehicles, and Drones
Common Neural Network Models in Autonomous Vehicles, Unmanned Vehicles, and Drones Below is a list of neural network architectures commonly applied in autonomous systems, along with their applications and relevant vehicle types: Convolutional Neural Networks (CNNs):Used extensively for image and video analysis, CNNs are fundamental for visual perception tasks in autonomous vehicles and drones. Recurrent… Continue reading Common Models in Autonomous Vehicles, Unmanned Vehicles, and Drones