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145 results on '"Pandit, Amit Kant"'

9. An Unsupervised Learning Approach Towards Credit Risk Modelling Using DFT Features and Gaussian Mixture Models

Author

Pandit, Amit Kant, Vashishtha, Ashutosh, Sumbria, Shubam, Mahajan, Shubham, 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, Mohanty, Mihir Narayan, editor, and Das, Swagatam, editor

Published
2022
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10. Improvement in Breast Cancer Detection Using Deep Learning

Author

Gupta, Manvi, Mahajan, Shubham, Bhardwaj, Anil Kumar, Pandit, Amit Kant, 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, Mohanty, Mihir Narayan, editor, and Das, Swagatam, editor

Published
2022
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18. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models

Author

Lodh, Suvajit, Mahajan, Shubham, Vanipriya, Ch., Bhardwaj, Anil, Pandit, Amit Kant, 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, Das, Swagatam, editor, and Mohanty, Mihir Narayan, editor

Published
2021
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19. COVID-19 Detection: An Approach Using X-Ray Images and Deep Learning Techniques

Author

Raina, Akshay, Mahajan, Shubham, Vanipriya, Ch., Bhardwaj, Anil, Pandit, Amit Kant, 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, Das, Swagatam, editor, and Mohanty, Mihir Narayan, editor

Published
2021
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20. Classification and Detection of Leaves Using Different Image Processing Techniques

Author

Raina, Akshay, Mahajan, Shubham, Vanipriya, Ch., Bhardwaj, Anil, Pandit, Amit Kant, 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, Das, Swagatam, editor, and Mohanty, Mihir Narayan, editor

Published
2021
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24. Analysis of Different Parameter of FSO Communication System by Using Robust Model Design

Author

Mahajan, Shubham, Pandit, Amit Kant, 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, Mohanty, Mihir Narayan, editor, and Das, Swagatam, editor

Published
2020
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25. Quality of Service Based Multimedia Data Transmission in Multi-constraint Environment

Author

Kumar, Krishan, Kumar, Rajender, Pandit, Amit Kant, 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, Patnaik, Srikanta, editor, Ip, Andrew W. H., editor, Tavana, Madjid, editor, and Jain, Vipul, editor

Published
2020
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31. Different feature selection methods, research gaps and future plans.

Author

Mahajan, Shubham, Pandit, Amit Kant, and Mittal, Nitin

Subjects
*EVIDENCE gaps, *MACHINE learning, *FEATURE selection, *MACHINE performance, *DATA quality, *SUPERVISED learning
Abstract

Feature selection is method of removing features from a data set that are unrelated to the task at hand. Many factors influence feature selection, including simplistic analysis, efficiency, computation time, and feature interpretability. It applies to both unsupervised and supervised learning methods. Multimedia technology is increasing interest, and everyone involved in technology must understand the possibilities it presents and current limitations of technology. Such strategies are capable of increasing the performance of machine learning methods as well as training. Feature selection decreases learning run time while enhancing data quality and comprehension. In this paper, different methods of feature selection and research gaps are discussed for large scale data. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Cuckoo search algorithm, its variants and applications: A review.

Author

Gupta, Monisha, Abouhawwash, Mohamed, Mahajan, Shubham, and Pandit, Amit Kant

Subjects
SEARCH algorithms, CUCKOOS, SWARM intelligence, ANIMAL sexual behavior, BIRD nests, BIRDSONGS
Abstract

Cuckoo search (CS) is an effective algorithm based on swarm-Intelligence. CS was developed to imitate the cuckoo breeding behavior. CS has drawn a lot of attention because of its predictive state of having sufficient ability to solve various real-world optimization problems. Due to its efficiency for various real-world engineering applications, CS has gained much supremacy. CS is inspired by a bird called cuckoo that cannot build a nest of its own. And the cuckoo bird lays its egg in other birds' nests. This article examines the research outcomes in the key architectural perspective and extended variations of CS in great depth. This paper gives a quick overview of the CS algorithm, its several variants, and its potential applications. [ABSTRACT FROM AUTHOR]

Published
2023
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33. Synthetic aperture radar communication.

Author

Singh, Harbinder, Onyema, Edeh Michael, Mahajan, Shubham, and Pandit, Amit Kant

Subjects
SYNTHETIC aperture radar, REMOTE sensing by radar, SYNTHETIC apertures, ANTENNAS (Electronics), ATMOSPHERE, SPACE flight
Abstract

Microwaves are usually in the range of a few to ten centimeters with the wavelengths used by remote sensing radars to monitor Earth's atmosphere. The radar pulse loses energy as they travel in the space at a rate proportional to the beamwidth. The beam spread significantly by the time it reaches the earth. Synthetic aperture radars are the solution to this problem since the outcome will greatly change. Synthetic aperture radars were designed to circumvent natural aperture radar limitations. Such systems obtain a strong azimuth resolution which is not based on the slant but does use small antennas and fairly long wavelengths. [ABSTRACT FROM AUTHOR]

Published
2023
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42. Behavior of Delivery Robot in Human-Robot Collaborative Spaces During Navigation.

Author

Singh, Kiran Jot, Kapoor, Divneet Singh, Abouhawwash, Mohamed, Al-Amri, Jehad F., Mahajan, Shubham, and Pandit, Amit Kant

Subjects
NAVIGATION (Astronautics), ROBOTS, OBJECT recognition algorithms, NAVIGATION, INDUSTRIAL robots, ROBOTICS, PROXIMITY detectors, IMAGE sensors
Abstract

Navigation is an essential skill for robots. It becomes a cumbersome task for the robot in a human-populated environment, and Industry 5.0 is an emerging trend that focuses on the interaction between humans and robots. Robot behavior in a social setting is the key to human acceptance while ensuring human comfort and safety. With the advancement in robotics technology, the true use cases of robots in the tourism and hospitality industry are expanding in number. There are very few experimental studies focusing on how people perceive the navigation behavior of a delivery robot. A robotic platform named “PI” has been designed, which incorporates proximity and vision sensors. The robot utilizes a real-time object recognition algorithm based on the You Only Look Once (YOLO) algorithm to detect objects and humans during navigation. This study is aimed towards evaluating human experience, for which we conducted a study among 36 participants to explore the perceived social presence, role, and perception of a delivery robot exhibiting different behavior conditions while navigating in a hotel corridor. The participants’ responses were collected and compared for different behavior conditions demonstrated by the robot and results show that humans prefer an assistant role of a robot enabled with audio and visual aids exhibiting social behavior. Further, this study can be useful for developers to gain insight into the expected behavior of a delivery robot. [ABSTRACT FROM AUTHOR]

Published
2023
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