Dyslexia and dysgraphia are learning disabilities that profoundly impact reading, writing, and language processing capabilities. Dyslexia primarily affects reading, manifesting as difficulties in word recognition and ...
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thermal infrared images have potential to captured the images without being affected by illumination. In this paper, we proposed a face recognition method using infrared images. the Convolution Neural Network are used...
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ISBN:
(纸本)9781665499736;9781665499729
thermal infrared images have potential to captured the images without being affected by illumination. In this paper, we proposed a face recognition method using infrared images. the Convolution Neural Network are used to extract feature from the images withthe combination of Haar Cascade, and Local Binary pattern to indicate the face area. At the same time, images were acquired by using infrared camera and webcam. Compared between infrared and visible images, the experimental result from infrared images by using Convolutional Neural Network in combined with Haar Cascade show superiority in the measurement result of several parameters used withthe highest score in accuracy up to 98% which outperforms the other experiment in this paper.
Farming techniques have been reorganized withthe involvement of Artificial Intelligence. Smart and Precision agriculture has improved the yield and provided healthy crops as compared to the traditional measures invol...
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Biometric authentication systems have gained popularity as the necessity for secure individual identification has expanded. Iris, hand geometry, fingerprints, retina, vein patterns on the fingers and palms, and voice ...
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Universities are concentrating on building industry characteristics to strengthen and expand their influence in the information age. Big data on intellectual output is a key representation of discipline construction. ...
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ISBN:
(纸本)9789819743865;9789819743872
Universities are concentrating on building industry characteristics to strengthen and expand their influence in the information age. Big data on intellectual output is a key representation of discipline construction. We created an algorithm to identify development features of disciplines, including temporal trend, research hotspots, and mutation characteristics. Using CNKI as data source, withthe aid of scientific knowledge graph and social network analysis, 10786 core journal thesis published between 2012 and 2021 demonstrated the co-occurrence, keyword development trajectory, and mutation word development path. According to data mining, high-level intellectual output that is relevant to industry increased in quantity and proportion, and intimacy also improved. High levels of interdisciplinary interaction, a variety of disciplinary innovations, and in-depth disciplinary culture formation should characterize the pattern of disciplinary development. this study is an attempt of specialized disciplines development patternrecognition by big data intelligence, and the recognition algorithms can be used for feature recognition in multidisciplinary fields.
Sucker rod pump systems, accounting for over 80% of global artificial lift installations, face increasing challenges in maintaining operational efficiency due to complex working conditions and diverse fault patterns. ...
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Scene text recognition has historically concentrated on English, with limited advancements in developing solutions that perform well across multiple languages. Previous efforts in multilingual scene text recognition h...
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this dominant approach in contemporary science and industry-level applications is multilayer deep learning. In this article we compare convolutional neural networks (CNN) architecture with synergetic models. the CIFAR...
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the proceedings contain 9 papers. the special focus in this conference is on Emerging Technologies for Authorization and Authentication. the topics include: User Authentication on Headset-Like Devices by Bio...
ISBN:
(纸本)9783031254666
the proceedings contain 9 papers. the special focus in this conference is on Emerging Technologies for Authorization and Authentication. the topics include: User Authentication on Headset-Like Devices by Bioacoustic Signals;the Measurable Environment as Nonintrusive Authentication Factor on the Example of WiFi Beacon Frames;Protecting FIDO Extensions Against Man-in-the-Middle Attacks;authentication, Authorization, and Selective Disclosure for IoT Data Sharing Using Verifiable Credentials and Zero-Knowledge Proofs;privacy-Preserving Speaker Verification and Speech recognition;an E-Voting System Based on Tornado Cash;linking Contexts from Distinct Data Sources in Zero Trust Federation.
the identification of objects that blend in withtheir surroundings has long been a concern in fields including defence, wildlife monitoring, and surveillance due to the difficulty of detecting such objects. this find...
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