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	<title>MATLAB Number ONE</title>
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	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
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		<title>Best video for Simulink and verification and validation</title>
		<link>https://matlab1.com/best-video-for-simulink-and-verification-and-validation/</link>
					<comments>https://matlab1.com/best-video-for-simulink-and-verification-and-validation/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Tue, 19 Sep 2023 13:58:29 +0000</pubDate>
				<category><![CDATA[model based design]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=8155</guid>

					<description><![CDATA[<p>&#160; &#160; https://www.mathworks.com/videos/verification-and-validation-workflows-for-medical-device-development-1639517459655.html &#160; &#160;</p>
<p>The post <a href="https://matlab1.com/best-video-for-simulink-and-verification-and-validation/">Best video for Simulink and verification and validation</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>What is the difference between rapid control prototyping (RCP) and hardware in loop (HIL)?</title>
		<link>https://matlab1.com/what-is-the-difference-between-rapid-control-prototyping-rcp-and-hardware-in-loop-hil/</link>
					<comments>https://matlab1.com/what-is-the-difference-between-rapid-control-prototyping-rcp-and-hardware-in-loop-hil/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 06 Mar 2023 08:03:47 +0000</pubDate>
				<category><![CDATA[Hardware in Loop]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=8134</guid>

					<description><![CDATA[<p>Rapid Control Prototyping (RCP) and Hardware-in-the-Loop (HIL) are two methodologies used in the development and testing of control systems. While they share some similarities, they are distinct processes that serve different purposes in the control system development process. Rapid Control Prototyping (RCP) is a methodology used to quickly iterate and test control algorithms using a [&#8230;]</p>
<p>The post <a href="https://matlab1.com/what-is-the-difference-between-rapid-control-prototyping-rcp-and-hardware-in-loop-hil/">What is the difference between rapid control prototyping (RCP) and hardware in loop (HIL)?</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>it is installed a C++ compiler in my system but MATLAB does not detect it</title>
		<link>https://matlab1.com/it-is-installed-a-c-compiler-in-my-system-but-matlab-does-not-detect-it/</link>
					<comments>https://matlab1.com/it-is-installed-a-c-compiler-in-my-system-but-matlab-does-not-detect-it/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 02 Mar 2023 07:30:29 +0000</pubDate>
				<category><![CDATA[MATLAB]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=8129</guid>

					<description><![CDATA[<p>Make sure that you have installed a C++ compiler that is compatible with the version of MATLAB you are using. You can check the system requirements for your version of MATLAB to ensure compatibility. Set the environment variable &#8220;MW_MINGW64_LOC&#8221; to the location of the C++ compiler. You can do this by running the following command [&#8230;]</p>
<p>The post <a href="https://matlab1.com/it-is-installed-a-c-compiler-in-my-system-but-matlab-does-not-detect-it/">it is installed a C++ compiler in my system but MATLAB does not detect it</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<title>addTeardown</title>
		<link>https://matlab1.com/addteardown/</link>
					<comments>https://matlab1.com/addteardown/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Wed, 01 Mar 2023 14:43:16 +0000</pubDate>
				<category><![CDATA[MATLAB]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=8123</guid>

					<description><![CDATA[<p>I have some issues with using addTeardown in the unit testing framework. The following examples help me to understand addTeardown, I hope it helps the reader of this post. In software testing, a teardown fixture is a routine or code block that is executed after a test has finished running. It is typically used to [&#8230;]</p>
<p>The post <a href="https://matlab1.com/addteardown/">addTeardown</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Full step from beginner to advanced for MATLAB learning</title>
		<link>https://matlab1.com/full-step-from-beginner-to-advanced-for-matlab-learning/</link>
					<comments>https://matlab1.com/full-step-from-beginner-to-advanced-for-matlab-learning/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 16 Feb 2023 06:40:51 +0000</pubDate>
				<category><![CDATA[MATLAB]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=8119</guid>

					<description><![CDATA[<p>Step-by-step guide for learning MATLAB from beginner to advanced: Introduction to MATLAB: Learn about MATLAB and its interface, including the command window, workspace, and editor. Understand how to create variables, perform basic arithmetic operations, and work with arrays and matrices. Familiarize yourself with the help command to obtain information about MATLAB&#8217;s functions and syntax. Programming [&#8230;]</p>
<p>The post <a href="https://matlab1.com/full-step-from-beginner-to-advanced-for-matlab-learning/">Full step from beginner to advanced for MATLAB learning</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<title>Üniversite ( Matlab,Python ) Özel Ders</title>
		<link>https://matlab1.com/universite-matlabpython-ozel-ders/</link>
					<comments>https://matlab1.com/universite-matlabpython-ozel-ders/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Wed, 24 Feb 2021 12:57:15 +0000</pubDate>
				<category><![CDATA[MATLAB]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=7749</guid>

					<description><![CDATA[<p>DESTEK VEREBİLECEGİM KONULAR &#160; Matlab &#8211; Matlab Simulink &#160; Yukarıda ki derslerde özel ders için iletişime geçebilirsiniz.(Daha hızlı bir etkileşim için Email üzerinden yazmanızı öneririm) &#160;</p>
<p>The post <a href="https://matlab1.com/universite-matlabpython-ozel-ders/">Üniversite ( Matlab,Python ) Özel Ders</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<item>
		<title>Adversarial Machine Learning</title>
		<link>https://matlab1.com/adversarial-machine-learning/</link>
					<comments>https://matlab1.com/adversarial-machine-learning/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 30 Jan 2021 17:45:09 +0000</pubDate>
				<category><![CDATA[Machine Learning]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=7698</guid>

					<description><![CDATA[<p>Introduction The field of Artificial intelligence (AI) has gone through cycles of excitement and disillusionment resulting from breakthroughs being made, which then failed to deliver to the extent desired. Today, AI has begun to permeate all aspects of our digital life. This is largely due to the advent of machine learning (ML), which leverages the [&#8230;]</p>
<p>The post <a href="https://matlab1.com/adversarial-machine-learning/">Adversarial Machine Learning</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<item>
		<title>Cooperation in Perception in Autonomous driving</title>
		<link>https://matlab1.com/cooperation-in-perception-in-autonomous-driving/</link>
					<comments>https://matlab1.com/cooperation-in-perception-in-autonomous-driving/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 28 Jan 2021 15:29:25 +0000</pubDate>
				<category><![CDATA[Autonomous car]]></category>
		<category><![CDATA[Communication]]></category>
		<category><![CDATA[image processing]]></category>
		<category><![CDATA[collaborative methods Autonomous driving]]></category>
		<category><![CDATA[Localization Autonomous driving]]></category>
		<category><![CDATA[multi-vehicle cooperation]]></category>
		<category><![CDATA[Simultaneous localization and mapping (SLAM) algorithm]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=7185</guid>

					<description><![CDATA[<p>Cooperation Autonomous driving is an extremely difficult task requiring absolute reliability under a great variety of situations. Currently, it is almost impossible for a single sensor to handle the complexity due to limited perspective and intrinsic weakness such as a camera’s bad adaptability to complicated light conditions. Researchers therefore propose collaborative methods to stretch the [&#8230;]</p>
<p>The post <a href="https://matlab1.com/cooperation-in-perception-in-autonomous-driving/">Cooperation in Perception in Autonomous driving</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<item>
		<title>CARLA Simulator</title>
		<link>https://matlab1.com/carla-simulator/</link>
					<comments>https://matlab1.com/carla-simulator/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 28 Jan 2021 14:53:14 +0000</pubDate>
				<category><![CDATA[Autonomous car]]></category>
		<category><![CDATA[simulator for autonomous driving research]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=7180</guid>

					<description><![CDATA[<p>CARLA (Car Learning to Act) [1] is the state-of-the-art simulator for autonomous driving research. CARLA provides a well-documented Python API for controlling various properties of simulations. The maximal freedom of customization makes it a useful tool for simulated data generation, scenario construction, and autopilot development. &#160; Simulator Architecture CARLA uses a client-server architecture. Clients connect [&#8230;]</p>
<p>The post <a href="https://matlab1.com/carla-simulator/">CARLA Simulator</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<item>
		<title>KITTI Dataset</title>
		<link>https://matlab1.com/kitti-dataset/</link>
					<comments>https://matlab1.com/kitti-dataset/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 28 Jan 2021 08:53:21 +0000</pubDate>
				<category><![CDATA[Deep Learning]]></category>
		<guid isPermaLink="false">https://matlab1.com/?p=7165</guid>

					<description><![CDATA[<p>Introduction The KITTI Vision Benchmark Suite is a repository of real-world data for autonomous driving created by Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago [1]. The series of datasets in KITTI is widely used for research because the KITTI Suite provides detailed documentation of data collection process, data format, and benchmark rules. [&#8230;]</p>
<p>The post <a href="https://matlab1.com/kitti-dataset/">KITTI Dataset</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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