497
20
11858
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Dublin Core
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Title
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Articles
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Faculty Publications -Articles
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Title
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Smart Phone based Fundus Imaging for Diabetic Retinopathy Detection
Subject
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deep learning; diabetic retinopathy; Fundus imaging; smartphone-based fundus imaging
Description
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INTRODUCTION: Diabetic retinopathy (DR) is one of the consequences of diabetes which if untreated may lead to loss of vision. Generally, for DR detection, retinal images are obtained using a traditional fundus camera. A recent trend in the acquisition of eye fundus images is the usage of smartphones to acquire images. OBJECTIVES: This paper focuses on the study of existing works which incorporated smartphones for obtaining fundus images and various devices available in the market. Also, the common datasets used for carrying out DR detection using smartphone-based fundus images as well as the classification models used for the diagnosis of DR are explored. METHODS: A search of information was carried out on articles based on DR detection from fundus images published in the state-of-the-art literatures. RESULTS: Majority of the works uses SBFI devices like 20D lens, EyeExaminer etc. to obtain fundus image. The common databases used for the study are EyePACS, Messidor, etc. and the classification models mostly rely on deep learning frameworks. CONCLUSION: The use of smartphones for capturing fundus images for DR detection are explored. Smartphone devices, datasets used for the study and currently available classification models for SBFI based DR detection are discussed in detail. This paper portrays various approaches currently being employed in SBFI based DR detection. 2023 A. Benjamin et al.
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Benjamin A.; Wahid F.F.; Jenefa J.
Source
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EAI Endorsed Transactions on Pervasive Health and Technology, Vol-9
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European Alliance for Innovation
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.4108/eetpht.9.4376" target="_blank" rel="noreferrer noopener">https://doi.org/10.4108/eetpht.9.4376</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178320866&doi=10.4108%2Feetpht.9.4376&partnerID=40&md5=7d67b3d8f313f05c0b1a0e8b95ea96c3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178320866&doi=10.4108%2feetpht.9.4376&partnerID=40&md5=7d67b3d8f313f05c0b1a0e8b95ea96c3</a>
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All Open Access; Gold Open Access
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ISSN: 24117145
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Online
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English
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Article
Coverage
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Benjamin A., Department of Artificial Intelligence and Machine Learning, CMR Institute of Technology, Karnataka, Bengaluru, 560037, India; Wahid F.F., Department of Information Technology, Kannur University, Kerala, Kannur, 670567, India; Jenefa J., Department of Computer Science and Engineering, Christ (Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Smart pollution monitoring system
Subject
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Air Quality Monitor; Cloud Server; Pollution; Prototype; Sensors; Toxic Gases
Description
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The world has travelled a long way through the industrial revolution. One of the consequences that the industries and its different forms gave to humanity is pollution. The environment that we live is being polluted in different ways. Different parts of the world are already experiencing air pollution as a matter of concern. The increasing amount of industries and the emission of gas by the vehicles cause much damage to the air. We are in a situation where we need to monitor the amount of pollution in our areas of living and working. In order to monitor pollution, the paper proposes an efficient and low-cost method with the help of the internet of things (IoT). The system is designed to monitor the levels of CO, CO2, smoke, alcohol, NH3, temperature and humidity. The various alarms and notification are arranged in such a way that the information is given when there is any sign of threat. The remote monitoring is made possible with dedicated website and mobile app. BEIESP.
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Wilson S.; Manuel T.; Peter Augustin D.
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International Journal of Recent Technology and Engineering, Vol-7, No. 6 1131, pp. 1136-.
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Blue Eyes Intelligence Engineering and Sciences Publication
Date
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2019-01-01
Identifier
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067047041&partnerID=40&md5=c1c613b0af261b601c5b1c10471519f5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067047041&partnerID=40&md5=c1c613b0af261b601c5b1c10471519f5</a>
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Restricted Access
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ISSN: 22773878
Format
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Online
Language
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English
Type
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Article
Coverage
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Wilson S., Computer Science, Christ (Deemed to be University), Bangalore, India; Manuel T., Computer Science, Christ (Deemed to be University), Bangalore, India; Peter Augustin D., Computer Science, Christ (Deemed to be University), Bangalore, India
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Book Chapter
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Title
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Smart Portable Neonatal Intensive Care for Rural Regions
Subject
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Decision support system; Healthcare; Medical electronics; Neonatal healthcare; Neonatal incubator; Rural healthcare; Smart medical electronics
Description
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Every year, an increasingly large number of neonatal deaths occur in India. Premature birth and asphyxia are being two of the leading causes of these neonatal deaths. A well-regulated thermal environment is critical for neonatal survival. In the current scenario, it is impossible for the health centers in the rural areas of India to afford a neonatal incubator for every newborn due to its price and transportability. The successful delivery of neonates is hampered in India due to its increasing population along with limited technology and resources. Thus, a prototype of an incubator has been designed that is affordable, transportable, and energy saving for the health centers in the rural regions, with an AI-based decision support system. Springer Nature Singapore Pte Ltd 2020.
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Lepcha S.; Jain S.S.; Kumar S.; Puneeth C.; Singhal N.; Saw A.K.; Batra A.S.; Shukla S.; Unal A.
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Lecture Notes in Networks and Systems, Vol-93, pp. 375-385.
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Springer
Date
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2020-01-01
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<a href="https://doi.org/10.1007/978-981-15-0630-7_37" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-0630-7_37</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079488292&doi=10.1007%2F978-981-15-0630-7_37&partnerID=40&md5=b1ff67770f258d8560b2452e8962acd3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079488292&doi=10.1007%2f978-981-15-0630-7_37&partnerID=40&md5=b1ff67770f258d8560b2452e8962acd3</a>
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Restricted Access
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ISSN: 23673370
Format
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Online
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English
Type
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Book chapter
Coverage
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Lepcha S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Jain S.S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Kumar S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Puneeth C., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Singhal N., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Saw A.K., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Batra A.S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Shukla S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Unal A., Digital Monozukuri, Stanford, United States
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Smart Precision Irrigation Techniques Using Wireless Underground Sensors in Wireless Sensors
Subject
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IoT; Irrigation; Smart Precision Agriculture; Weather Prediction; Wireless Sensors
Description
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The term brilliant accuracy agribusiness alludes to advances like the Internet of Things, remote sensors, and artificial reasoning on the ranch. A definitive objective of this paper is to expand the quality and amount of the harvests while advancing the human work utilized, use of water system, and diminishing the water system times in light of climate forecast. This proposed framework utilizes the three kinds of sensors like Moisture sensor is used to detect the dirt dampness, the Humidity sensor is utilized to return how much water is present in the encompassing air, Temperature sensors are utilized to give the temperature of the dirt. Each of the three qualities is passed to the remote sensor hub and moved to the information lumberjacks. At long last, the information lumberjack will send the message like beginning the water system to a programmed water lock framework. When all water measures arrive at the water system limit, the programmed water lock framework will be shut. By using the underground, remote sensors, we can track the conditions of various agricultural applications such as soil properties, seed varieties and monitor the environmental situations. Every gadget contains significant gear like sensors, memory, a processor, and a power source. 2022 IEEE.
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Sathiyapriya K.; Thaiyalnayaki S.; Sambandam R.K.; Anuranjani K.; Vetriveeran D.
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8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022, pp. 2072-2077.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2022-01-01
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<a href="https://doi.org/10.1109/ICACCS54159.2022.9785190" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACCS54159.2022.9785190</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133173513&doi=10.1109%2FICACCS54159.2022.9785190&partnerID=40&md5=db658dabd5f336785d338dd83a7e0045" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133173513&doi=10.1109%2fICACCS54159.2022.9785190&partnerID=40&md5=db658dabd5f336785d338dd83a7e0045</a>
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ISBN: 978-166540816-5
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Online
Language
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English
Type
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Conference paper
Coverage
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Sathiyapriya K., School of Computing, Bharath Institute of Higher Education and Research (Deemed to Be University), Dept. of Computer Science and Engineering, Tamilnadu, Chennai, India; Thaiyalnayaki S., School of Engineering and Technology, Christ (Deemed to Be University, Dept. of Computer Science and Engineering, Karnataka, Bangalore, India; Sambandam R.K., School of Engineering and Technology, Christ (Deemed to Be University, Dept. of Computer Science and Engineering, Karnataka, Bangalore, India; Anuranjani K., School of Computing, Bharath Institute of Higher Education and Research (Deemed to Be University), Dept. of Computer Science and Engineering, Tamilnadu, Chennai, India; Vetriveeran D., School of Engineering and Technology, Christ (Deemed to Be University, Dept. of Computer Science and Engineering, Karnataka, Bangalore, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Smart Product Packing and IoT Marketing: Enhancing Customer Interaction
Subject
The topic of the resource
Competitive advantage; Consumer empowerment; Customer engagement; Customer interaction; Data-driven decision-making; Ethical considerations; IoT marketing; Quantitative analysis; Smart product packaging; Sustainability
Description
An account of the resource
The convergence of smart product packaging and IoT marketing has transformed commerce. This study examines the fundamental ramifications of convergence and its potential to improve customer engagement. Our research shows the transformational potential of these technologies via quantitative and qualitative analyses.Smart packaging outperforms non-smart items, giving firms an advantage, according to quantitative data. Regression and correlation analysis confirm IoT data-customer interaction. Our study also emphasizes ethical data acquisition, which supports data privacy and consumer protection.Consumers may expect personalized experiences, transparency, and real-time feedback from this technology transformation. Smart product packaging and IoT marketing enable readers to make educated decisions and influence product development to meet changing consumer expectations.This research allows academics to study the ideas and models that affect consumer engagement. Data privacy and consumer protection may inform IoT marketing and smart device packaging policy.Our research guides organizations and customers towards better customer interactions, data-driven decision-making, and ethical data practices in this changing age. The future promises revolutionary customer contact. 2023 IEEE.
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Soundarraj P.; Aarif M.; Gangadharan S.; Naqvi S.R.; Assihalaf N.K.; Salih Mahdi A.
Source
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Proceedings of the 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1109/ICSES60034.2023.10465408" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES60034.2023.10465408</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190552055&doi=10.1109%2FICSES60034.2023.10465408&partnerID=40&md5=8f5daecb65c63bebae5212496e0271f9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190552055&doi=10.1109%2fICSES60034.2023.10465408&partnerID=40&md5=8f5daecb65c63bebae5212496e0271f9</a>
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ISBN: 979-835031920-0
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Online
Language
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English
Type
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Conference paper
Coverage
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Soundarraj P., Christ University, Pune, School of Business & Management, Maharashtra, Pune, 412112, India; Aarif M., CAG Study Center, UP, Noida, India; Gangadharan S., St. Joseph's College of Engineering, Department of Management Studies, Chennai, India; Naqvi S.R., Amity University, Department of Human Resource and Organizational Behaviour, Amity Business School, Up, Noida, India; Assihalaf N.K., National University of Science and Technology, DhiQar, Iraq; Salih Mahdi A., AL-Nisour University College, Department of Medical Laboratories Technology, Baghdad, Iraq
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0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
Subject
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Patent
Description
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Patent
Patent
Patents
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Title
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Smart production monitoring and management system /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202241000628, Applicant: Dr. C R Mahesha.
It is critical to have a monitoring system in place during every manufacturing process. The time it takes to process raw materials is one factor that influences how long it takes to make a product. A traditional company requires the operator to record the time it takes to process each order on a piece of paper. If you use this method to complete your work, you are likely to make numerous errors. The goal of this paper is to create a system that can automatically record and track processing time in order to solve this problem. There is a device attached to the machine that makes things that automatically checks the production process. It will be simple to use because it has a touch screen LCD. The person who operates the machine's ID card contains an RFID chip that records his or her name. Scanning the database for information about the workpiece using the barcode on the monitoring sheet, then looking up that information in the database A sensor on the machine can show how long it takes to machine in real time. The system's outputs include information such as how long it takes to process and how much storage space it has. In this case, the workshop planning app from the company can be wirelessly linked to this system.
Creator
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Mandala, Gangu Naidu.
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<a href="https://drive.google.com/file/d/195DBgDlo6VP8S37CJMsDwqxQvB7U8fW_/view" target="_blank" title="Smart production monitoring and management system /" rel="noreferrer noopener">https://drive.google.com/file/d/195DBgDlo6VP8S37CJMsDwqxQvB7U8fW_/view</a>
Publisher
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Intellectual Property India
Date
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2022-05-18
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
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https://archives.christuniversity.in/files/original/c4b025c582df9bc8d63d1a74b168a32b.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Smart production monitoring and management system /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202241000628, Applicant: Dr. C R Mahesha.
It is critical to have a monitoring system in place during every manufacturing process. The time it takes to process raw materials is one factor that influences how long it takes to make a product. A traditional company requires the operator to record the time it takes to process each order on a piece of paper. If you use this method to complete your work, you are likely to make numerous errors.
Creator
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Mandala, Gangu Naidu.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1yvl88qg3rObwOniUHZRl9tjJIZjKq1d1/view" target="_blank" title="Smart production monitoring and management system /" rel="noreferrer noopener">https://drive.google.com/file/d/1yvl88qg3rObwOniUHZRl9tjJIZjKq1d1/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-18
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
Dublin Core
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Smart production monitoring using drones in cyber-physical agricultural systems
Subject
The topic of the resource
cyber-physical system; framework of a cyber-physical system; Internet of drones; smart farming cycle; Unmanned aerial vehicles
Description
An account of the resource
The population of the world has shown a notable swift in recent years and the need for food has also gradually increased. The extra demand could be met by smart agricultural systems because manual and traditional crop cultivation is tedious, time-consuming and requires manpower to a great extent. The increased population is not the only factor for the shortage of food; there are many other influencing factors involving crop damage due to insects, lack of monitoring, and many others that should be overcome by the implementation of smart technologies in agriculture and resulting in a revolution of the agriculture or it can be addressed as Agri 4.0. This chapter provides insight into the implementation of drone technology which will result in many positive shifts in Agri 4.0. To address the various associated problems, causes, and consequences in the production, the smart production system with the incorporating technologies shows the notable solutions. Through the underlying chapter, the need, usage, architecture, implementation, and other related aspects are discussed. 2024 Elsevier Inc. All rights reserved.
Creator
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Choudhary V.; Guha P.; Mishra S.; Singh A.; Sharma V.; Dhanaraj R.K.
Source
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Agri 4.0 and the Future of Cyber-Physical Agricultural Systems, pp. 197-218.
Publisher
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Elsevier
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1016/B978-0-443-13185-1.00011-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-13185-1.00011-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198490839&doi=10.1016%2FB978-0-443-13185-1.00011-3&partnerID=40&md5=39eae8af1be392125e0c526087e3c453" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198490839&doi=10.1016%2fB978-0-443-13185-1.00011-3&partnerID=40&md5=39eae8af1be392125e0c526087e3c453</a>
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ISBN: 978-044313185-1; 978-044313186-8
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Choudhary V., CSIR-National Physical Laboratory, Dr. KS Krishnan Marg, New Delhi, India, Academy of Scientific & Innovative Research (AcSIR), Uttar Pradesh, Ghaziabad, India; Guha P., CSIR-National Physical Laboratory, Dr. KS Krishnan Marg, New Delhi, India; Mishra S., CSIR-Central Scientific Instruments Organizations, Chandigarh, India; Singh A., School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Sharma V., Department of Computational Sciences, Christ University, Delhi NCR Campus, India; Dhanaraj R.K., Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Maharashtra, Pune, India
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ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
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Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Smart remote garbage monitoring system on IOT /
Subject
The topic of the resource
Communication
Description
An account of the resource
Patent Number: 201941050085, Applicant: Dr. E.A.Mary Anita.
The present invention relates to a smart system with the capability of giving information about the level of garbage to the in-charge for collecting garbage. This information helps the corporation to allocate employees and decide the efficient route for garbage collection. The smart garbage collection system based on loT measures the level of garbage and uploads it to the cloud which can be viewed dynamically through the mobile, app and enables the corporation employee to monitor garbage collection system
remotely.
Creator
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Anita, E A Mary.
Source
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<a href="https://drive.google.com/file/d/1aV6ck83pAaBF6dF5H1PxTnnzM2uiQW4h/view" target="_blank" title="Smart remote garbage monitoring system on IOT /" rel="noreferrer noopener">https://drive.google.com/file/d/1aV6ck83pAaBF6dF5H1PxTnnzM2uiQW4h/view</a>
Publisher
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Intellectual Property India
Date
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2019-03-15
Language
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English
Type
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Patent
-
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Smart Satellites: Unveiling the Power of Artificial Intelligence in Space Communication-A Study
Subject
The topic of the resource
ML for space data analysis; payload algorithms; Satellite Communication; Satellite operations; security measures in space communication
Description
An account of the resource
The incorporation of Artificial Intelligence (AI) into space and satellite communication represents a paradigm shift in the way we explore, navigate, and communicate beyond our planet. This article is about the impact of AI on satellite operations, and the broader field of its communication to the earth. The article explores how AI enhances spacecraft autonomy, mitigates signal degradation, and improves the overall reliability of communication performance Satellite communication benefits from AI-driven advancements, in the areas of signal processing and optimization. Furthermore, examines the integration of AI in space-based challenges and opportunities associated with large-scale satellite networks. AI playing a crucial role in detecting and mitigating cyber security threats in space communication systems. This paper comes up with the perception into the future trends and potential advancements in AI applications for space and satellite communication. 2024 IEEE.
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Sathya J.; Ramkumar S.
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Proceedings of the 5th International Conference on Data Intelligence and Cognitive Informatics, ICDICI 2024, pp. 1296-1302.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/ICDICI62993.2024.10810891" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDICI62993.2024.10810891</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216710054&doi=10.1109%2FICDICI62993.2024.10810891&partnerID=40&md5=177ed56595a9edbb8b1994b78d073f72" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216710054&doi=10.1109%2fICDICI62993.2024.10810891&partnerID=40&md5=177ed56595a9edbb8b1994b78d073f72</a>
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ISBN: 979-835038960-9
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Online
Language
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English
Type
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Conference paper
Coverage
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Sathya J., Christ University, Department of Computer Science, Bangalore, India; Ramkumar S., Christ University, Department of Computer Science, Bangalore, India
-
https://archives.christuniversity.in/files/original/19bd1cd1cea59df625b8b334161b2849.png
ae8597b1fb62da5294ca14f6fc0ece85
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Title
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Patents
Subject
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Patent
Description
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Patent
Patent
Patents
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Title
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Smart saviour system for women /
Subject
The topic of the resource
Communication
Description
An account of the resource
Patent Number: 202041038520, Applicant: Dr, E A Mary Anita.
The invention is directed to an loT based system for alerting the group of predetermined volunteers and officials located near the site of crime occurring to the end user. The system includes a manual activated push button switch for utilizing at times of distress occurring to the women which activation generates the alert signals to be transmitted wirelessly through the WiFi module to the central processing server.
Creator
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E A, Mary Anita.
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<a href="https://drive.google.com/file/d/1_TfJwKFwK_zANg4kNOQUGlecfDzqqNXM/view" target="_blank" title="Smart saviour system for women /" rel="noreferrer noopener">https://drive.google.com/file/d/1_TfJwKFwK_zANg4kNOQUGlecfDzqqNXM/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2020-03-18
Language
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English
Type
The nature or genre of the resource
Patent
-
Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Smart Sensory Approach for Soil Health Tracking based Precision Farming
Subject
The topic of the resource
humidity; Internet of Things; Precision farming; predictive analytics; remote sensing; Sensory computing
Description
An account of the resource
Internet of Things (IoT) technology will have an impact on every area in the future as it will make everything intelligent, which will affect everyone's daily lives. It is a network composed of many devices that can configure themselves. The use of IoT in smart farming is transforming traditional agricultural practices by reducing crop loss, improving them, and making them more cost-effective for farmers. The study's goal is to propose a technological model for soil health monitoring that uses smart sensors and intelligent methods to communicate with farmers through a variety of channels. Farmers will benefit from the real-time farm data (temperature, humidity, soil moisture, UV index, and IR) that allows them to practice smart farming while increasing crop yields and conserving resources. 2023 IEEE.
Creator
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Bhattacharyya A.; Saini T.; Sharma V.; Mishra S.
Source
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3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings, pp. 563-570.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1109/ICIMIA60377.2023.10425922" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIMIA60377.2023.10425922</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191764465&doi=10.1109%2FICIMIA60377.2023.10425922&partnerID=40&md5=ae1f380034f0d0554ebeb9566db45c32" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191764465&doi=10.1109%2fICIMIA60377.2023.10425922&partnerID=40&md5=ae1f380034f0d0554ebeb9566db45c32</a>
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ISBN: 979-835034363-2
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Bhattacharyya A., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Saini T., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Mishra S., Deemed to Be University, Kalinga Institute of Industrial Technology, India
-
https://archives.christuniversity.in/files/original/f19bf7b187b2f33a9fa76b72ed55868e.png
ae8597b1fb62da5294ca14f6fc0ece85
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Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
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Title
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Smart sign boards in national highways for road safety using IOT /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202021048936, Applicant: Dr. A Baseera.
Road accidents in India are a prevailing wellspring of deaths, injuries and property harm each year. To defeat this issue on weighty traffic and street mishaps because of changing in climate conditions, we present a shrewd associated sign board for improved street security utilizing IOT gadgets. This is an extraordinary thought which makes the drivers to drive more secure than previously.
Creator
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B J, Bejoy.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1V6d-5ncG39vr9KkJkKNAeWuhwFFfLZOX/view" target="_blank" title="Smart sign boards in national highways for road safety using IOT /" rel="noreferrer noopener">https://drive.google.com/file/d/1V6d-5ncG39vr9KkJkKNAeWuhwFFfLZOX/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2020-03-18
Language
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English
Type
The nature or genre of the resource
Patent
-
Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Smart Skin Cancer Diagnosis: Integrating SCA-RELM Method for Enhanced Accuracy
Subject
The topic of the resource
Bag of Feature (BoF) and Speeded Up Robust Features (SURFs); Regularized Extreme Learning Machine (RELM); Sine Cosine Algorithm (SCA)
Description
An account of the resource
One out of three cancers now is skin cancer, a figure that has exploded in the previous several decades. Melanoma is the worst kind of skin cancer and occurs in 4% of cases. It is also the most aggressive type. The health and economic impact of skin cancer is substantial, especially given its rising incidence and fatality rates. However, with early detection and treatment, the 5-year survival rate for skin cancer patients is much improved. As a result, a lot of money has gone into studying the disease and developing methods for early diagnosis in the hopes of stopping the rising tide of cancer cases and deaths, particularly melanoma. In order to enhance non-invasive skin cancer diagnosis, this research examines a range of optical modalities that have been utilized in recent years. The suggested system uses image processing to identify, remove, and categorize lesions from dermoscopy images; this system will greatly aid in the detection of melanoma, a type of skin cancer. A median filter is employed for preprocessing. Using watershed and clever edge detector, it can segment objects. The BOF plus SURF method is employed for feature extraction. It employs SCA-RELM, which performs better than the other two conventional approaches, to train the model. 2024 IEEE.
Creator
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Subramanian M.; Taley R.A.; Sampath V.; Kartheeban K.; Palanimuthu K.; Acharjee P.B.
Source
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2024 3rd International Conference for Innovation in Technology, INOCON 2024
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1109/INOCON60754.2024.10511420" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INOCON60754.2024.10511420</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193629925&doi=10.1109%2FINOCON60754.2024.10511420&partnerID=40&md5=e055fd39ea7e239135970d003d0e0e23" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193629925&doi=10.1109%2fINOCON60754.2024.10511420&partnerID=40&md5=e055fd39ea7e239135970d003d0e0e23</a>
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ISBN: 979-835038193-1
Format
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Online
Language
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English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Subramanian M., Sri Sairam Engineering College, Department of Electronics and Instrumentation Engineering, Chennai, India; Taley R.A., College of Engineering and Technology, Maharashtra, Akola, India; Sampath V., Sri Sankara Arts and Science College (Autonomous), Department of Biochemistry, Kanchipuram, India; Kartheeban K., Kalasalingam Academy of Research and Education, Department of CSE, Krishnankoil, Anandnagar, India; Palanimuthu K., Institute of Health Sciences, Pediatric and Child Health Nursing, Dambi Dollo, Ethiopia; Acharjee P.B., Christ University, Pune Lavasa Campus, Karnataka, Bengaluru, India
-
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Smart songs selection in playlists using parallel k-means clustering
Subject
The topic of the resource
Hadoop; Parallel K-means clustering; Pitch; Tempo; Variation
Description
An account of the resource
Most songs today are of different tempo, pitch and time signature. In a music player application, the typical shuffle picks the succeeding song or preceding song at random with no parameters to choose the songs. Different songs from different genres can have a tempo range anywhere between forty beats per minute and three hundred beats per minute. In this paper, the quick and efficient parallel k means clustering algorithm is implemented in Hadoop on the million-song dataset subset to form clusters for the songs based on tempo and pitch. The aim of this paper is to reduce the variation that occurs when a typical shuffle picks the succeeding song at random. This variation can be in the form of tempo or other parameters. The formation of clusters and intern the reduction in the variation of tempo can be used in a new 'smart shuffle'. After the clusters have been formed, the smart shuffle picks the songs within that specific cluster. This paper aims at reducing the variation by 50%. This would have many musical benefits and would also be more pleasing to the listener. 2018 IAEME Publication.
Creator
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Manoj P.; Saleema J.S.
Source
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International Journal of Civil Engineering and Technology, Vol-9, No. 3, pp. 778-788.
Publisher
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IAEME Publication
Date
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2018-01-01
Identifier
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044778264&partnerID=40&md5=fdd4c338f9105f1065d0e4d3c5180e86" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044778264&partnerID=40&md5=fdd4c338f9105f1065d0e4d3c5180e86</a>
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ISSN: 9766308
Format
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Online
Language
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English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Manoj P., Department of Computer Science, Christ Deemed to Be University, Hosur Road, Bhavani Nagar, Bengaluru, Karnataka, 560029, India; Saleema J.S., Department of Computer Science, Christ Deemed to Be University, Hosur Road, Bhavani Nagar, Bengaluru, Karnataka, 560029, India
-
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Articles
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Title
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Smart Steering Wheel for Improving Drivers Safety Using Internet of Things
Subject
The topic of the resource
Arduino UNO; Driver safety; Drowsiness; EPulse sensor; Smart steering; Temperature sensor
Description
An account of the resource
Nearly 3700 people every day die on the worlds roads in collisions with trucks, cars, buses, motorcycles, bicycles, or pedestrians.The cause of accidents is drowsiness, drunk driving, breaking the speed limit, Driver health issue and rash driving. The most concept of this venture is to avoid the street mishap so we are utilizing liquor location sensor, eye flicker sensor, over speed control sensor, temperature sensor, beat sensor. To detect drowsiness, speed of the vehicle, drivers health, alcohol consumed by the driver, and rash driving status the model is installed with sensors in steering wheel and camera. The sensors will detect the physical condition of the driver and the camera module will take the live recording of the drivers face part to detect the drowsiness. Simple but effective strategies are used to improve the baseline detection/tracking algorithm and the eye-state classification algorithm, and the results are tabulated to increase the systems dependability and accuracy. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
Creator
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Pravinth Raja S.; Blessed Prince P.; Jeno Lovesum S.P.
Source
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SN Computer Science, Vol-4, No. 3
Publisher
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Springer
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1007/s42979-022-01636-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42979-022-01636-6</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150984486&doi=10.1007%2Fs42979-022-01636-6&partnerID=40&md5=842b27b367d262f95d52fa8467c4608e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150984486&doi=10.1007%2fs42979-022-01636-6&partnerID=40&md5=842b27b367d262f95d52fa8467c4608e</a>
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ISSN: 2662995X
Format
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Online
Language
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English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pravinth Raja S., Department of CSE, Presidency University, Bangalore, India; Blessed Prince P., Department of CSE, Presidency University, Bangalore, India; Jeno Lovesum S.P., Department of CSE, Christ University, Bangalore, India
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ae8597b1fb62da5294ca14f6fc0ece85
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Title
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Patents
Subject
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Patent
Description
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Patent
Patent
Patents
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Title
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Smart system for cooking gas production using electromagnetic generator /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
"Patent Number:201911043172, Applicant: Puja Das.
The present invention is related to smart system for cooking gas production using electromagnetic generator. The presented invention solves the problems of the prior arts in cooking gas production as alternative to the LPG. The machine uses electrolysis as its foremost medium to extract fuel from used petrol and water. For cooking Hydrogen with oxygen gas is used with a different manner."
Creator
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Samanta, Debabrata.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/109_Dea3r_IT5uLrUJU3rWdWxtfJ3PIQS/view" target="_blank" title="Smart system for cooking gas production using electromagnetic generator /" rel="noreferrer noopener">https://drive.google.com/file/d/109_Dea3r_IT5uLrUJU3rWdWxtfJ3PIQS/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2019-03-14
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
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ae8597b1fb62da5294ca14f6fc0ece85
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Title
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Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
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Title
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Smart system for effective wate management /
Subject
The topic of the resource
Communication
Description
An account of the resource
Patent Number: 202041049785, Applicant: Meenakshi.
500-700 years it takes for a Plastic waste to get degraded in the soil. In India this type of wastes sits as a Landfill and there by spoiling the fertility of the soil and even increasing the toxicity of the Ground water, by the way the dumped waste is always either unprocessed or untreated which has catastrophic problems in future. More over the growth of population is drastically changing thereby increase in waste production in the Country.
Creator
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S, Raghavendra.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/19WiF1BS4NJd_F_on-HmNmiuLtRAK15Xu/view" target="_blank" title="Smart system for effective wate management /" rel="noreferrer noopener">https://drive.google.com/file/d/19WiF1BS4NJd_F_on-HmNmiuLtRAK15Xu/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2020-03-18
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
Dublin Core
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Human Resource Professionals Perceptions on the Future of Work
Subject
The topic of the resource
Factors influencing STARA; HR Strategies; Opinion; Organizational performance; Perception; STARA awareness
Description
An account of the resource
Technology is revolutionizing the manner in which human resources are governed in establishments worldwide. As an increasing number of businesses adopt digital instruments to monitor employee performance, optimize procedures, and enhance communication, HRM must persistently innovate to keep pace with these alterations. The utilization of contemporary technology enables HR departments to become more proficient, streamline procedures, and make more astute decisions. Intelligent Technology, Synthetic Intelligence, Robotics, and Algorithms (STARA) technologies can be groundbreaking in this aspect, empowering establishments and their corresponding HR departments to exponentially flourish with their human resource relative initiatives. The objective of this investigation is to scrutinize the perspectives of HR Professionals on STARA awareness and their vision regarding the prospective influence of its integration on the future of work. Through the utilization of a mixed-data-based exploratory analysis, the researcher examines the facets of STARA awareness, STARA advantages, implementation challenges, and future scopes of STARA relative technologies to expedite HRM and organizational superiority. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Creator
An entity primarily responsible for making the resource
Suvarna S.; Aranha R.; Balsundaram S.; Basavaraj S.
Source
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Studies in Systems, Decision and Control, Vol-537, pp. 307-321.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
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<a href="https://doi.org/10.1007/978-3-031-62106-2_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-62106-2_25</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203062407&doi=10.1007%2F978-3-031-62106-2_25&partnerID=40&md5=dc7eaa4584bdf0e77803f1d8e2811766" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203062407&doi=10.1007%2f978-3-031-62106-2_25&partnerID=40&md5=dc7eaa4584bdf0e77803f1d8e2811766</a>
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Restricted Access
Relation
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ISSN: 21984182
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Suvarna S., Christ University, Bengaluru, India; Aranha R., Christ University, Bengaluru, India; Balsundaram S., Christ University, Bengaluru, India; Basavaraj S., Christ University, Bengaluru, India
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Title
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Book Chapter
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Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Smart therapist: The mental health detector
Description
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In this fast-moving world, mental health disorder has turned to be one of the important issues which need utmost care and concern. According to the National Mental Health Survey Report, at least 14% of the India's population needs attention for mental disorders, of which stress, depression, and anxiety are the most common. An automated system that helps in detecting these mental disorders and thereby helps us to lead a better life by moulding our lifestyle is desirable. This chapter proposes an Intelligent Therapist based on machine learning which diagnoses a person's mental state through a set of questionnaires that helps in determining his/her mental state. The chatbot analyses the response and classifies them into different categories as per the severity of the disorder. The model is trained and tested on varying datasets to provide better accuracy in the understanding of human behaviour. This web-based chatbot will be accessible to anyone having access to the internet and will act as a preliminary self-check-up point. 2025 selection and editorial matter, Neha Goel and Ravindra Kumar Yadav; individual chapters, the contributors.
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Dutt A.; Nizar Banu P.K.; Bansal A.; Bansal K.
Source
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Internet of Things enabled Machine Learning for Biomedical Applications, pp. 167-187.
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CRC Press
Date
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2024-01-01
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<a href="https://doi.org/10.1201/9781003487647-10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003487647-10</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209007178&doi=10.1201%2F9781003487647-10&partnerID=40&md5=480dc92f8133cb7a82ed3da3ad679b5c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209007178&doi=10.1201%2f9781003487647-10&partnerID=40&md5=480dc92f8133cb7a82ed3da3ad679b5c</a>
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Restricted Access
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ISBN: 978-104009765-6; 978-103255082-4
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Dutt A., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Nizar Banu P.K., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Bansal A., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Bansal K., CHRIST (Deemed to be University), Karnataka, Bangalore, India