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    Visual experience recognition using adaptive support vector machine

    DOI Logo 10.17352/tcsit.000043

    Published On: December 03, 2021 | Pages: 072 - 076

    Author(s): SP Santhoshkumar*, M Praveen Kumar and H Lilly Beaulah
    Video has more information than the isolated images. Processing, analyzing and understanding of contents present in videos are becoming very important. Consumer videos are generally captured by amateurs using handheld cameras of events and it contains considerable camera motion, occlusion, cluttered background, and large intraclass variations within the same type of e ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    mendeley

    Smart cities IOT & Digital network connectivity devices: Optimization on business in Africa

    DOI Logo 10.17352/tcsit.000042

    Published On: September 25, 2021 | Pages: 064 - 071

    Author(s): Yakubu Ajiji Makeri*, Victor Chang Xi’an Jiaotong, Ibrahim Abaker Targio Hashem, Afam Uzorka and Giuseppe T Cirella
    Today the world is becoming connected. The number of devices that are connected are increasing day by day. Many studies reveal that about 50 billion devices would be connected by 2020 indicating that Internet of things have a very big role to play in the future to come Considering the perplexing engineering of Smart City conditions, it ought not to be failed to rememb ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    mendeley

    A novel framework combining BCI and IOT for the detection of activity of the brain

    DOI Logo 10.17352/tcsit.000041

    Published On: September 18, 2021 | Pages: 060 - 063

    Author(s): B Karthiga* and M Rekha
    Virtual brain research is accelerating thedevelopment of inexpensive real-time Brain Computer Interface (BCI). Hardware improvements that increase the capability of Virtual brain analyse and Brain Computer wearable sensors have made possible several new software frameworks for developers to use and create applications combining BCI and IoT. In this paper, we complete ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    mendeley

    Detection and classification of phishing websites

    DOI Logo 10.17352/tcsit.000040

    Published On: August 11, 2021 | Pages: 053 - 059

    Author(s): Manoj P*, Bhuvan Kumar Y, Rakshitha D and Megha G
    ‘Phishing sites’ are some type of the internet security issues that mainly targets the human vulnerabilities compared to software vulnerabilities. Phishing sites are malicious websites that imitate as legitimate websites or web pages and aim to steal user’s personal credentials like user id, password, and financial information. Spotting these phishing websites is typi ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    mendeley

    Study of using hybrid deep neural networks in character extraction from images containing text

    DOI Logo 10.17352/tcsit.000039

    Published On: August 04, 2021 | Pages: 045 - 052

    Author(s): P Preethi, HR Mamatha and Hrishikesh Viswanath*
    Character segmentation from epigraphical images helps the optical character recognizer (OCR) in training and recognition of old regional scripts. The scripts or characters present in the images are illegible and may have complex and noisy background texture. In this paper, we present an automated way of segmenting and extracting characters on digitized inscriptions. T ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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