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Titlebook: Next Generation Computing Technologies on Computational Intelligence; 4th International Co Manish Prateek,Durgansh Sharma,Neeraj Kumar Conf

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發(fā)表于 2025-3-21 16:34:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Next Generation Computing Technologies on Computational Intelligence
副標(biāo)題4th International Co
編輯Manish Prateek,Durgansh Sharma,Neeraj Kumar
視頻videohttp://file.papertrans.cn/667/666186/666186.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Next Generation Computing Technologies on Computational Intelligence; 4th International Co Manish Prateek,Durgansh Sharma,Neeraj Kumar Conf
描述.The 18 full and 13 short papers presented were carefully reviewed and selected from 255 submissions. There were organized in topical sections named: Image Processing, Pattern Analysis and Machine Vision; Information and Data Convergence; Disruptive Technologies for Future; E-Governance and Smart World.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; computer networks; computer science; computer systems; network protocols; signal
版次1
doihttps://doi.org/10.1007/978-981-15-1718-1
isbn_softcover978-981-15-1717-4
isbn_ebook978-981-15-1718-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Emotion Recognition in Poetry Using Ensemble of Classifiersposed emotion recognition model uses a novel ensemble classifier schema based on SVM, Logistic regression, NB Classifier, and Emotion Modifier Preserved Vector Space Model. The results show that the proposed model achieves satisfactory precision, Recall and F-measure in recognizing emotions from poems.
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An Approach to Threshold Based Human Skin Color Recognition and Segmentation in Different Color Mode differentiate the color and luminance information still in the uncharacteristic illumination circumstances. The investigational outcome illustrates the effectiveness of color model based recognition of skin tone in color images.
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Distributed Multi-criteria Based Clusterhead Selection Approach for MANETn NS-2.35. Experimental results show that the proposed DMBCA achieves much better results in terms of performance parameters such as packet delivery ratio, average throughput and routing overhead than conventional AODV technique.
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NStackSenti: Evaluation of a Multi-level Approach for Detecting the Sentiment of Usersenti is applied on two separate datasets to demonstrate the effectiveness in terms of accuracy. NStackSenti provides better accuracy with trigram than unigram and bigram. It provides 83.7% and 86.24% accuracy on 2000 and 50000 data respectively.
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Parkinson’s Disease Diagnosis by fMRI Images Using MFCC Feature Extraction feature extraction of fMRI images. Mean and Standard deviation of the extracted coefficients was calculated which was further classified using the Classifier Learner. Obtained results showed that MFCC coefficients are effectively able to identify PD and normal person.
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