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133 results on '"Vyas, Vibha"'

1. Use of CNNs for Estimating Depth from Stereo Images

Author

Satushe, Vaidehi, Vyas, Vibha, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Senjyu, Tomonobu, editor, So–In, Chakchai, editor, and Joshi, Amit, editor

Published
2024
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6. Performance Analysis of Periodic Defected Ground Structure for CPW-Fed Microstrip Antenna

Author

Mahajan, Rajshri C., Vyas, Vibha, Tamboli, Abdulhafiz, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Satapathy, Suresh Chandra, editor, Zhang, Yu-Dong, editor, Bhateja, Vikrant, editor, and Majhi, Ritanjali, editor

Published
2021
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8. Hyper-spectral Image Denoising Using Sparse Representation

Author

Chilkewar, Vijay, Vyas, Vibha, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Pati, Bibudhendu, editor, Panigrahi, Chhabi Rani, editor, Buyya, Rajkumar, editor, and Li, Kuan-Ching, editor

Published
2020
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12. Operational Transconductance Amplifier Structured Highly Linear Analog Multiplier

Author

Khade, Amitkumar S., Vyas, Vibha, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Nath, Vijay, editor, and Mandal, Jyotsna Kumar, editor

Published
2019
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13. Vehicle Detection in Aerial Images Using Selective Search with a Simple Deep Learning Based Combination Classifier

Author

Tewari, Tanuja, Sakhare, Kaustubh V., Vyas, Vibha, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Nath, Vijay, editor, and Mandal, Jyotsna Kumar, editor

Published
2019
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14. Modified Unit Cell Analysis Approach for EBG Structure Analysis for Gap Width Study Effect

Author

Mahajan, Rajshri C., Parashar, Vini, Vyas, Vibha, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Nath, Vijay, editor, and Mandal, Jyotsna Kumar, editor

Published
2019
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15. Anomaly Detection in Crowd Using Optical Flow and Textural Feature

Author

Ingole, Pranali, Vyas, Vibha, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Wang, Jiacun, editor, Reddy, G. Ram Mohana, editor, Prasad, V. Kamakshi, editor, and Reddy, V. Sivakumar, editor

Published
2019
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16. Vein Detection System Using Quad-Core ARM Processor and Near-Infrared Light

Author

Mhaske, Aashay, Doshi, Siddhant, Chopade, Pranjal, Vyas, Vibha, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Wang, Jiacun, editor, Reddy, G. Ram Mohana, editor, Prasad, V. Kamakshi, editor, and Reddy, V. Sivakumar, editor

Published
2019
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27. Abnormal Crowd Behavior Detection Based on Combined Approach of Energy Model and Threshold

Author

Halbe, Madhura, Vyas, Vibha, Vaidya, Yogita M., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Shankar, B. Uma, editor, Ghosh, Kuntal, editor, Mandal, Deba Prasad, editor, Ray, Shubhra Sankar, editor, Zhang, David, editor, and Pal, Sankar K., editor

Published
2017
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32. Graphene Oxide-Based Surface Plasmon Optical Fiber Biosensor for Thiamine Detection

Author

Kumari, Anamika, Choudhary, Kuldeep, Vyas, Vibha, and Kumar, Santosh

Abstract

The work proposes a localized surface plasmon resonance (LSPR)-based optical fiber sensor for detecting thiamine. Thiamine, commonly known as vitamin $B_{1}$ , is a water-soluble vitamin that is essential for human health. It is required for the heart, muscles, and neurological system to function properly and for the metabolism of carbohydrates. Measurement of its concentration is essential in treating many diseases caused by its deficiency. The present work proposes and fabricates an optical fiber sensor for measuring its concentration in the range of 200– $500~\mu \text{g}$ /mL. The role of gold nanoparticles (AuNPs) and graphene oxide (GO) in enhancing the sensor’s performance is studied. The article also describes the method involved in synthesizing and characterizing AuNPs and GO. The details of the sensor fabrication that involves the functionalization of AuNPs and GO have also been discussed along with the experimental setup. The sensitivity of the proposed sensor is found to be 0.0061 nm/( $\mu \text{g}$ /mL) with a calibration correlation factor of 0.9656 in the range of 200– $500~\mu \text{g}$ /mL.

Published
2024
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36. Advances in electrochemical and optical sensing techniques for vitamins detection: a review

Author

Kumari, Anamika, Vyas, Vibha, and Kumar, Santosh

Subjects
Biomolecules, Review Paper, Biosensors, Electrochemical sensing, Optical sensing, Vitamin
Abstract

Vitamins are essential nutrients that aid in metabolism, cell growth, and the appropriate functioning of other biomolecules. They are required for the proper functioning of various systems in human body. Both vitamin shortage and excess can pave the way for a variety of illnesses. They enter the body via food and supplements eaten, making it critical to measure the vitamin concentrations in food, medicines, and biological fluids. The concentrations of these vitamins are determined using a variety of techniques. The performance measure of the techniques like selectivity, sensitivity, and limit of detection is crucial in their utilization. Among the many techniques of determination, electrochemical sensing and optical sensing have garnered widespread interest because of their potential to improve performance. Additionally, the introduction of innovative materials has added a lot of benefits to sensing. The aim of this article is to summarize significant work toward recent improvements in electrochemical and optical methods for detecting different vitamins. Additionally, it attempts to assess the gaps in vitamin sensing in order to encourage researchers to fill such gaps that will benefit the community.

Published
2021

47. Synthesis, characterization, and applications of gold nanoparticles in development of plasmonic optical fiber-based sensors.

Author

Kumari, Anamika, Vyas, Vibha, and Kumar, Santosh

Subjects
*GOLD nanoparticles, *OPTICAL fiber detectors, *OPTICAL sensors, *PLASMONICS, *URIC acid, *SURFACE plasmon resonance
Abstract

Gold nanoparticles (Au-NPs) are readily used nanoparticles which finds applications in fields like biosensors, drug delivery, optical bioimaging and many state of art systems used for detection. In the recent years fiber optic sensors have seen utilization of Au-NPs along with other nanoparticles for implementation of sensors for sensing various biomolecules like cholesterol, glucose, and uric acid. The cancer cells, creatinine and bacteria can also be detected with the fiber optic sensors. Given the significance of Au-NPs in fiber optic sensors, the current work is a review of the synthesis, the common methods used for characterization, and the applications of Au-NPs. It is important to discuss and analyse the work reported in the literature to understand the trend and gaps in developing plasmonic optical fiber sensors. [ABSTRACT FROM AUTHOR]

Published
2023
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49. New approach for quality analysis of the hearing impaired using combined temporal and spectral processing

Author

Shinde, Hemangi, Vyas, Vibha, and Mathad, Vikram C.

Abstract

This paper proposes a novel approach of combining temporal and spectral speech enhancement methods for hearing impaired (HI) listeners. The temporally processed speech is combined with five different types of maximum a-posterior (MAP) estimators, namely, magnitude squared spectrum estimator (MSSE), MSSE using posteriori SNR uncertainty, using priori SNR uncertainty, soft masking using posterior SNR uncertainty on magnitude squared spectrum and using priori SNR uncertainty on magnitude squared spectrum. The temporal, spectral and the combined temporal spectral algorithms are evaluated in terms of quality for HI listeners using noisy speech signals at -5, 0, 5 and 10 dB SNR in a cafeteria, a station, in traffic and train noise environments. The experimental results depict that the new combined temporal spectral algorithm showed significantly better results over the individual temporal, spectral methods as well as a previous combined temporal and spectral method investigated and tested by the author earlier for HI people.

Published
2023
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