Showing results for "Moving Object Detection Using Background Subtraction Algorithms Priyank Shah English"

by

Dr Nimrita Koul

Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection. Key Features ● Comprehensive and graded approach to Deepfake detection using Python and its libraries. ● Practical implementation of deepfake detection techniques using Python. ● Hands-on chapters for detecting deepfake images, videos, and audio. ● Covers Case study for providing real-world application of deepfake detection. Book Description In today's digital world, mastering deepfake detection is...

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Balram Morsing Chavan

Angular is a Single Page Application (SPA) development framework open-sourced by Google. The Angular framework is written in TypeScript language, which enables a web developer to write JavaScript code in Object-Oriented fashion. TypeScript makes it easier to build a client-side web application with classes, interfaces, generics, inheritance, and other Object-Oriented features. TypeScript compiler takes care of transpiling these features into native JavaScript. Angular is a framework that c...

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Steven F. Lott

Gain comprehensive insights into programming practices, and code portability and reuse to build flexible and maintainable apps using object-oriented principlesKey FeaturesExtend core OOP techniques to increase integration of classes created with PythonExplore a variety of Python libraries for handling persistence and object serializationLearn alternative approaches for solving programming problems with different attributes to address your probl...

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Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki

Series -

Computer Science (R0)

This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors id...

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Bharat Sikka

Elements of Deep Learning for Computer Vision gives a thorough understanding of deep learning and provides highly accurate computer vision solutions while using libraries like PyTorch.This book introduces you to Deep Learning and explains all the concepts required to understand the basic working, development, and tuning of a neural network using Pytorch. The book then addresses the field of computer vision using two libraries, including the Python wrapper/version of OpenCV and PIL. After e...

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Tony Lee

Narrated by

Top Tier Press Studios

Audiobook 6.0 -

The Self-Improvement & Mind-Hacking Series

EVERY SMILE, EVERY WORD, EVERY GESTURE: SOMEONE IS TRYING TO STEER YOUR MIND. WILL YOU NOTICE BEFORE IT’S TOO LATE?Beneath everyday interactions lies a hidden web of psychological tactics designed to influence, persuade, and manipulate you—often without your awareness. This audiobook exposes the science of covert influence and gives you the power to spot it, resist it, and even use it ethically to your advantage.This revealing 2-in-...

by

Zac Adams

Narrated by

Mara Walker

Audiobook 1 -

Self Help Books to learn everything about Mind control, NPL and Dark Psychology techniques

Are you tired of having the wool pulled over your eyes? Do you feel that people are always taking advantage of you or your relationships are superficial and fake? Are you ready to stand against those who think they can manipulate and take advantage of you?If you answered yes to any of the following statements, this book is for you. Why?Dark Psychology and Manipulation is a book that draws attention to the manipulating and ...

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Navin Sabharwal, Ravishankar Shukla

This book teaches an APM engineer how to monitor software services and applications in real time, including collecting detailed performance data on the response time for incoming requests, database queries, cache calls, and external HTTP requests. The book helps readers to explore the architecture and components of the Elastic APM stack. It also teaches you how to architect, deploy, and configure the Elastic APM stack to meet your specific requirements.The book focuses on monitoring and ob...

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Jit Sinha

Empower Your Digital Shield with Splunk Expertise!Book DescriptionThe Ultimate Splunk for Cybersecurity is your practical companion to utilizing Splunk for threat detection and security operations.This in-depth guide begins with an introduction to Splunk and its role in cybersecurity, followed by a detailed discussion on configuring inputs and data sources, understanding Splunk architecture, and using Splunk Enterpri...

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Jit Sinha

Empower Your Digital Shield with Splunk Expertise!Book DescriptionThe Ultimate Splunk for Cybersecurity is your practical companion to utilizing Splunk for threat detection and security operations.This in-depth guide begins with an introduction to Splunk and its role in cybersecurity, followed by a detailed discussion on configuring inputs and data sources, understanding Splunk architecture, and using Splunk Enterprise Security (ES).It further explores topics such a...

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Sebastien Donadio, Sourav Ghosh

Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategiesKey FeaturesUnderstand the power of algorithmic trading in financial markets with real-world examplesGet up and running with the algorithms used to carry out algorithmic tradingLearn to build your own algorithmic trading robots which require no human interventionBook DescriptionIt’...

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Madeleine Shang

You will learn about the fundamentals of Machine Learning and Python programming post, which you will be introduced to predictive modelling and the different methodologies in predictive modelling. You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them.We will focus on learning supervised machine learning algorithms covering Linear Regression, Logistic Regression, Support Vector Machines, Decision Trees and Artificial Ne...