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		<title>Cotton Plant Disease Detection</title>
		<link>https://www.ai-tech.systems/cotton-plant-disease-detection/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sun, 11 Dec 2022 13:41:06 +0000</pubDate>
				<category><![CDATA[Use Cases]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Cotton Plant Disease Detection]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
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		<guid isPermaLink="false">https://www.ai-tech.systems/cotton-plant-disease-detection/</guid>

					<description><![CDATA[<p>Photo by Pest Control Room Agriculture is an important backbone for any country and India is considered to be an agro-based country. It not only boosts various industries such as food industry and textile industry but when it comes to textile industry cotton producing crops hold a special position amongst all other textile crops. Though growing [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/cotton-plant-disease-detection/">Cotton Plant Disease Detection</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
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		<title>Heartbeat Anomaly Detection</title>
		<link>https://www.ai-tech.systems/heartbeat-anomaly-detection/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sun, 11 Dec 2022 13:23:06 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[Artificial intelligence]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Heartbeat Anomaly Detection]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
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					<description><![CDATA[<p>According to a report of WHO, around 17.9 million people die each year due to Cardiovascular Diseases. Over the years it has been found that these deaths can be prevented if the diseases are diagnosed at an early stage and even the disease can be cured. Photo on Gifer Table of Content AI Towards Healthcare Introduction to [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/heartbeat-anomaly-detection/">Heartbeat Anomaly Detection</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
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		<title>Hate Speech and Offensive Language Detection</title>
		<link>https://www.ai-tech.systems/hate-speech-and-offensive-language-detection/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sat, 10 Dec 2022 13:13:04 +0000</pubDate>
				<category><![CDATA[Use Cases]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI for Online Safety]]></category>
		<category><![CDATA[AI Tools for Hate Speech]]></category>
		<category><![CDATA[AI-Tech Systems Hate Speech]]></category>
		<category><![CDATA[Artificial Intelligence Hate Speech]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Cainvas Platform]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[CNN]]></category>
		<category><![CDATA[CNN Architecture]]></category>
		<category><![CDATA[Content Moderation AI]]></category>
		<category><![CDATA[Convolutional Neural Network]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning for Content Moderation]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[Deep Learning models]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[Detection]]></category>
		<category><![CDATA[Detection model]]></category>
		<category><![CDATA[Digital Civility]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Hate Speech and Offensive Language Detection]]></category>
		<category><![CDATA[Hate speech detection]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Machine Learning Offensive Language]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Network]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Offensive Language Detection]]></category>
		<category><![CDATA[Online Harassment Prevention]]></category>
		<category><![CDATA[Prediction]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[TinyML Devices]]></category>
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					<description><![CDATA[<p>Nowadays we are well aware of the fact that if social media platforms are not handled carefully then they can create chaos in the world. One of the problems faced on these platforms are usage of Hate Speech and Offensive Language. Usage of such Language often results in fights, crimes or sometimes riots at worst. [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/hate-speech-and-offensive-language-detection/">Hate Speech and Offensive Language Detection</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
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		<title>Improving Image Resolution with Autoencoders</title>
		<link>https://www.ai-tech.systems/improving-image-resolution-with-autoencoders/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sat, 10 Dec 2022 09:21:18 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Improving Image Resolution]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[tinyML]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/improving-image-resolution-with-autoencoders/</guid>

					<description><![CDATA[<p>Autoencoders can be used for increasing Image Resolution and this has proved to be effective when we want extract information from the feeds of Surveillance Cameras and autoencoders can also be used for Noise Reduction and they can serve as part of various IIoT Applications. Photo by Judith on Dribbble Table of Content Introduction to cAInvas Importing [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/improving-image-resolution-with-autoencoders/">Improving Image Resolution with Autoencoders</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
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		<title>Crop Weed Detection</title>
		<link>https://www.ai-tech.systems/crop-weed-detection/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Fri, 09 Dec 2022 17:55:55 +0000</pubDate>
				<category><![CDATA[Use Cases]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Crop Weed Detection]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[tinyML]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/crop-weed-detection/</guid>

					<description><![CDATA[<p>Crop weeds are weeds that grow amongst crops. Despite the potential for some crop weeds to be used as a food source, many can also prove harmful to crops, both directly and indirectly. Crop weeds can inhibit the growth of crops, contaminate harvested crops and often spread rapidly. And hence it is necessary for the [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/crop-weed-detection/">Crop Weed Detection</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
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		<title>Visual Wake word detection — on cAInvas</title>
		<link>https://www.ai-tech.systems/visual-wake-word-detection-on-cainvas/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Fri, 09 Dec 2022 12:33:39 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[Visual Wake word detection]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/visual-wake-word-detection-on-cainvas/</guid>

					<description><![CDATA[<p>Train a deep learning model to respond to the presence of certain objects in the image/video frame (person here). Photo by LCR on Dribbble Just as audio wake word systems respond to a specific phrase, visual wake word systems respond to the presence of certain objects in the image/frame. Such wake word systems are important in designing [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/visual-wake-word-detection-on-cainvas/">Visual Wake word detection — on cAInvas</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Neural Machine Translator</title>
		<link>https://www.ai-tech.systems/neural-machine-translator/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Fri, 09 Dec 2022 10:49:27 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Machine Translator]]></category>
		<category><![CDATA[NLP Model]]></category>
		<category><![CDATA[tinyML]]></category>
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					<description><![CDATA[<p>Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. Language Translation is a key service that is needed by the people across the whole globe. We are going to talk [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/neural-machine-translator/">Neural Machine Translator</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Malicious URL Detection</title>
		<link>https://www.ai-tech.systems/malicious-url-detection/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Thu, 08 Dec 2022 15:30:10 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Malicious URL Detection]]></category>
		<category><![CDATA[Malicious URL Detection model]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[tinyML]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/malicious-url-detection/</guid>

					<description><![CDATA[<p>A malicious website is a site that attempts to install malware (a general term for anything that will disrupt computer operation, gather your personal information, or, in a worst-case scenario, gain total access to your machine) onto your device. So it is necessary to detect malicious websites or URLs and it can be achieved by [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/malicious-url-detection/">Malicious URL Detection</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
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