Emerging Technology in Modelling and Graphics
Proceedings of IEM Graph 2018
Herausgegeben:Mandal, Jyotsna Kumar; Bhattacharya, Debika
Emerging Technology in Modelling and Graphics
Proceedings of IEM Graph 2018
Herausgegeben:Mandal, Jyotsna Kumar; Bhattacharya, Debika
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
The book covers cutting-edge and advanced research in modelling and graphics. Gathering high-quality papers presented at the First International Conference on Emerging Technology in Modelling and Graphics, held from 6 to 8 September 2018 in Kolkata, India, it addresses topics including: image processing and analysis, image segmentation, digital geometry for computer imaging, image and security, biometrics, video processing, medical imaging, and virtual and augmented reality.
Andere Kunden interessierten sich auch für
- New Approaches for Multidimensional Signal Processing168,99 €
- New Approaches for Multidimensional Signal Processing168,99 €
- Komal R. BorisagarSpeech Enhancement Techniques for Digital Hearing Aids74,99 €
- Rohit ThankiMedical Imaging and its Security in Telemedicine Applications37,99 €
- Woon Siong GanSignal Processing and Image Processing for Acoustical Imaging37,99 €
- Florian WillomitzerSingle-Shot 3D Sensing Close to Physical Limits and Information Limits74,99 €
- Advances in Augmented Reality and Virtual Reality125,99 €
-
-
-
The book covers cutting-edge and advanced research in modelling and graphics. Gathering high-quality papers presented at the First International Conference on Emerging Technology in Modelling and Graphics, held from 6 to 8 September 2018 in Kolkata, India, it addresses topics including: image processing and analysis, image segmentation, digital geometry for computer imaging, image and security, biometrics, video processing, medical imaging, and virtual and augmented reality.
Produktdetails
- Produktdetails
- Advances in Intelligent Systems and Computing 937
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-13-7402-9
- 1st ed. 2020
- Seitenzahl: 816
- Erscheinungstermin: 17. Juli 2019
- Englisch
- Abmessung: 235mm x 155mm x 41mm
- Gewicht: 1332g
- ISBN-13: 9789811374029
- ISBN-10: 9811374023
- Artikelnr.: 55324009
- Advances in Intelligent Systems and Computing 937
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-13-7402-9
- 1st ed. 2020
- Seitenzahl: 816
- Erscheinungstermin: 17. Juli 2019
- Englisch
- Abmessung: 235mm x 155mm x 41mm
- Gewicht: 1332g
- ISBN-13: 9789811374029
- ISBN-10: 9811374023
- Artikelnr.: 55324009
Jyotsna Kumar Mandal, M.Sc.(Ph.), JU, M.Tech.(CS), CU, Ph.D.(Eng.), JU, Professor CSE, is former Dean of the FETM, and was KU for two consecutive terms. He has nearly 30 years of teaching and research experience, and has completed four AICTE and one state government project. He is a life member of the CSI, CRSI, a member of the ACM, and fellow of the IETE. He was also honorary vice chairman and chairman of the CSI. He has delivered over 100 lectures and organized more than 25 national and international conferences. He currently serves as an editorial board member and corresponding editor for the Proceedings of Science Direct, IEEE and other conferences, as well as guest editor of the MST Journal. He has published more than 400 research articles and six books. Dr. Debika Bhattacharya obtained her B.Tech. and M.Tech. in Radiophysics and Electronics from Calcutta University, and her Ph.D. in Electronics and Telecommunication from Jadavpur University. She is currently Dean (of Academics) at the Institute of Engineering and Management. She has more than 22 years of teaching and research experience, has published many papers in prominent journals and conference proceedings, and has completed 2 AICTE and 1 DST project. In 2018 she received the Venus International Foundation's "Distinguished Leader" award in engineering.
Identification of Noise pollution prone regions in Mumbai using Expectation-Maximization Clustering Technique.- An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction.- Epileptic Seizure Recognition Using Deep Neural Network.- Graph-based supervised feature selection using correlation exponential.- A Sentiment Based Hotel Review Summarization.- Heuristic Approach for Finding Thresholding Value in Image Segmentation.- An Educational Chatbot for Answering Queries.- A Supervised Approach to Analyse and Simplify Micro-texts.- A short review on different clustering techniques and their applications.- An Efficient Descriptor for Gait Recognition using Spatio-Temporal Cues.
Identification of Noise pollution prone regions in Mumbai using Expectation-Maximization Clustering Technique.- An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction.- Epileptic Seizure Recognition Using Deep Neural Network.- Graph-based supervised feature selection using correlation exponential.- A Sentiment Based Hotel Review Summarization.- Heuristic Approach for Finding Thresholding Value in Image Segmentation.- An Educational Chatbot for Answering Queries.- A Supervised Approach to Analyse and Simplify Micro-texts.- A short review on different clustering techniques and their applications.- An Efficient Descriptor for Gait Recognition using Spatio-Temporal Cues.
Identification of Noise pollution prone regions in Mumbai using Expectation-Maximization Clustering Technique.- An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction.- Epileptic Seizure Recognition Using Deep Neural Network.- Graph-based supervised feature selection using correlation exponential.- A Sentiment Based Hotel Review Summarization.- Heuristic Approach for Finding Thresholding Value in Image Segmentation.- An Educational Chatbot for Answering Queries.- A Supervised Approach to Analyse and Simplify Micro-texts.- A short review on different clustering techniques and their applications.- An Efficient Descriptor for Gait Recognition using Spatio-Temporal Cues.
Identification of Noise pollution prone regions in Mumbai using Expectation-Maximization Clustering Technique.- An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction.- Epileptic Seizure Recognition Using Deep Neural Network.- Graph-based supervised feature selection using correlation exponential.- A Sentiment Based Hotel Review Summarization.- Heuristic Approach for Finding Thresholding Value in Image Segmentation.- An Educational Chatbot for Answering Queries.- A Supervised Approach to Analyse and Simplify Micro-texts.- A short review on different clustering techniques and their applications.- An Efficient Descriptor for Gait Recognition using Spatio-Temporal Cues.