691
20
16481
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Title
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Conference Papers
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Title
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Smart Product Packing and IoT Marketing: Enhancing Customer Interaction
Subject
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Competitive advantage; Consumer empowerment; Customer engagement; Customer interaction; Data-driven decision-making; Ethical considerations; IoT marketing; Quantitative analysis; Smart product packaging; Sustainability
Description
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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.
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Proceedings of the 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023
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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
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English
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Conference paper
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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
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Patent
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Patent
Patent
Patents
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Title
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Smart production monitoring and management system /
Subject
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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
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English
Type
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Patent
-
https://archives.christuniversity.in/files/original/c4b025c582df9bc8d63d1a74b168a32b.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Patents
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Patent
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Patent
Patent
Patents
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Title
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Smart production monitoring and management system /
Subject
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Computer Science
Description
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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.
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<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
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2022-05-18
Language
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English
Type
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Patent
-
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Book Chapter
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Title
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Smart production monitoring using drones in cyber-physical agricultural systems
Subject
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cyber-physical system; framework of a cyber-physical system; Internet of drones; smart farming cycle; Unmanned aerial vehicles
Description
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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.
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Choudhary V.; Guha P.; Mishra S.; Singh A.; Sharma V.; Dhanaraj R.K.
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Agri 4.0 and the Future of Cyber-Physical Agricultural Systems, pp. 197-218.
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Elsevier
Date
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2024-01-01
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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>
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ISBN: 978-044313185-1; 978-044313186-8
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Online
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English
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Book chapter
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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
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Title
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Patents
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Patent
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Patent
Patent
Patents
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Title
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Smart remote garbage monitoring system on IOT /
Subject
The topic of the resource
Communication
Description
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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.
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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
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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.
Creator
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Sathya J.; Ramkumar S.
Source
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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
Format
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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
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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 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
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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
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 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>
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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
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
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
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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
Dublin Core
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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
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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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
A name given to the resource
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>
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ISBN: 979-835038193-1
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Online
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English
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Conference paper
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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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Articles
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Faculty Publications -Articles
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Title
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Smart songs selection in playlists using parallel k-means clustering
Subject
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Hadoop; Parallel K-means clustering; Pitch; Tempo; Variation
Description
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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.
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Manoj P.; Saleema J.S.
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International Journal of Civil Engineering and Technology, Vol-9, No. 3, pp. 778-788.
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IAEME Publication
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2018-01-01
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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
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Online
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English
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Article
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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
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Arduino UNO; Driver safety; Drowsiness; EPulse sensor; Smart steering; Temperature sensor
Description
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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.
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Pravinth Raja S.; Blessed Prince P.; Jeno Lovesum S.P.
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SN Computer Science, Vol-4, No. 3
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Springer
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2023-01-01
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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
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Online
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English
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Article
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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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Faculty Publications
Conference Paper
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Suhan Krishna, M.G.; George, Jossy; Chanti, S.
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Smart Street Lighting System Using AI, Computer Vision, and IoT for Energy Efficiency and Sustainability
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01-01-2025
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Proceedings - 2025 International Conference on Transformative Computing Technologies, ICTCT 2025;pp.339-343
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<a href="https://doi.org/10.1109/ICTCT69201.2025.00069" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTCT69201.2025.00069</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037455542?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037455542?origin=resultslist</a>
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Suhan Krishna M.G., CHRIST (Deemed to be University), India; George J., CHRIST (Deemed to be University), India; Chanti S., CHRIST (Deemed to be University), India
Description
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In pursuit of smart cities, optimum utilization of energy without any compromise on public security is a requirement. Traditional lighting systems work with minimal flexibility but result in enormous wastage of energy. The proposed model dynamically controls lighting intensity based on real-time pedestrian and environmental information. The model is capable of saving wasteful utilization of electricity by integrating innovative technologies without any compromise on public security and visibility levels. The system requires the deployment of IoT-enabled cameras at strategic points on the highways to monitor the movement and traffic of pedestrians and automobiles. The system is capable of detecting and recognizing moving objects in real-time through computer vision technologies. Based on movement and density patterns, the system determines the optimal level of brightness to be used over each street lighting segment. This adaptive lighting method ensures the utilization of energy only where it is required and minimizes the energy consumption substantially without any compromise on security. Overall, this AI-driven smart lighting solution is a cost-effective and scalable solution for cities to become intelligent and resource-efficient. 2025 IEEE.
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833159195-3;
Language
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English
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Conference paper
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Faculty Publications
Conference Paper
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Ara, Aftab; Ara, Affreen
Title
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Smart Synergies: Integrating Technologies for Sustainable Urban Planning and Smart City Education - A Case Study
Date
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01-01-2025
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22nd International Learning and Technology Conference: Human-Machine Dynamics Fueling a Sustainable Future, L and T 2025;pp.95-102
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<a href="https://doi.org/10.1109/LT64002.2025.10941090" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/LT64002.2025.10941090</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002884387?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002884387?origin=resultslist</a>
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Ara A., University of Hail, College of Business Administration, Hail, Saudi Arabia; Ara A., Christ University, Computer Science Department, Bangalore, India
Description
An account of the resource
The study focuses on the use of intelligent technologies in sustainable town planning and smart city learning, both of which are needed to solve new urban problems. According to recent studies, there is a knowledge gap about studies related to smart urban planning and smart city studies The purpose of this study is to propose a way of smart city education and sustainable urban planning with necessary modern technology prioritizing citizen engagement and environmental sustainability. The principal objective of the study is to provide research-based recommendations on incorporating field-based activities in the course of smart city education. To accomplish this objective, the study uses five in-depth case studies. Each of the three case studies are real case. The potential implication of the study is to transform urban planning education, thus enhancing the participation of citizens in urban and city development. The findings provide a holistic approach by integrating technology, urban planning, and sustainability to improve urban living for sustainable, future smart city developments. This research hopes to provide insight into how new and existing technologies can create improved and more efficient urban areas across the globe. 2025 IEEE.
Subject
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augmented reality; citizen engagement; digital twins; IoT; participatory planning; Smart cities; smart technology integration; sustainable urban planning; urban education; urban sustainability assessment
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833153221-5;
Language
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English
Type
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Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
-
https://archives.christuniversity.in/files/original/833fef8b0f1a5c21d43ce6e9b548504c.png
ae8597b1fb62da5294ca14f6fc0ece85
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Title
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Patents
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Patent
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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
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Computer Science
Description
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"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."
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Samanta, Debabrata.
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<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>
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Intellectual Property India
Date
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2019-03-14
Language
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English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/a7a3e8c9928f636cda67ef306c116f7c.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 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.
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S, Raghavendra.
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<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>
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Intellectual Property India
Date
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2020-03-18
Language
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English
Type
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Patent
-
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Title
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Faculty Publications
Book
Faculty Publications- Book
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Vijayalakshmi, S.; Joseph, Alwin; Eapen, Naived George; Balusamy, Balamurugan; Dhatterwal, Jagjit Singh; Kaswan, Kuldeep Singh
Title
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Smart Systems for Disease Prediction: Advancements, Applications and Challenges
Date
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01-01-2025
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Smart Systems for Disease Prediction: Advancements, Applications and Challenges;pp.1-216
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<a href="https://doi.org/10.1201/9781032722344" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032722344</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025827506?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025827506?origin=resultslist</a>
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Vijayalakshmi S., School of Sciences, Christ University, India; Joseph A., CHRIST University, India; Eapen N.G., CHRIST University, India; Balusamy B., Shiv Nadar Institution of Eminence, Delhi, India; Dhatterwal J.S., Department of School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, India; Kaswan K.S., Galgotias University, Uttar Pradesh, India
Description
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Smart Systems for Disease Prediction: Advancements, Applications and Challenges is a comprehensive book that explores the use of intelligent technologies to predict diseases accurately and efficiently. It covers a wide range of topics, including image and signal processing, behavioural analysis, and the integration of multimodal data in healthcare. The book examines the application of artificial intelligence, machine learning, and data analytics in creating predictive models for diseases. It also addresses the challenges, ethical considerations, and future directions in the field. This work emphasises the significant impact of intelligent systems on enabling early diagnosis, personalised medicine, and improving patient outcomes. 2026 S. Vijayalakshmi, Alwin Joseph, Naived George Eapen, Balamurugan Balusamy, Jagjit Singh Dhatterwal, and Kuldeep Singh Kaswan.
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CRC Press
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ISBN: 978-104051025-4; 978-103269956-1;
Language
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English
Type
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Book
Rights
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Restricted Access; Hardcopy may be available in the library
-
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Balaji, K.
Title
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Smart Technologies for Sustainable Logistics: AI, Blockchain, and Robotics in the Carbon-Free Era
Date
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01-01-2025
Source
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Enhancing Sustainable Performance With Low-Carbon Supply Chains;pp.91-120
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<a href="https://doi.org/10.4018/979-8-3373-3012-9.ch004" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-3012-9.ch004</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018053221?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018053221?origin=resultslist</a>
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Balaji K., Christ University, Banglore, India
Description
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In recent years, the transition towards circular supply chains has gained significant momentum as organizations strive to enhance sustainability and reduce waste. The adoption of digital tools and technologies plays a pivotal role in enabling effective traceability within these circular systems. This article explores the innovative tools and technologies that facilitate enhanced traceability in circular supply chains, highlighting their importance in ensuring transparency, accountability, and sustainability. The study delves into various digital solutions, such as blockchain, IoT, and big data analytics, that provide real-time insights into product lifecycles, thereby allowing organizations to monitor and manage resources efficiently. By examining case studies and best practices, this article aims to provide a comprehensive understanding of how digital technologies can transform circular supply chains and contribute to a more sustainable future. Ultimately, this research serves as a foundation for both academia and industry. 2026, IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-833733014-3; 979-833733012-9;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
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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
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Factors influencing STARA; HR Strategies; Opinion; Organizational performance; Perception; STARA awareness
Description
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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
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Suvarna S.; Aranha R.; Balsundaram S.; Basavaraj S.
Source
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Studies in Systems, Decision and Control, Vol-537, pp. 307-321.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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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
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ISSN: 21984182
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
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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Faculty Publications
Book
Faculty Publications- Book
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Pathak, Jyotirmoy; Kumar, Abhishek; Tripathi, Suman Lata; Raj, Balwinder
Title
A name given to the resource
Smart Textiles and Wearables for Health and Fitness
Date
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01-01-2025
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Smart Textiles and Wearables for Health and Fitness;pp.1-427
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<a href="https://doi.org/10.1002/9781394302895" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394302895</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105015744086?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105015744086?origin=resultslist</a>
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Pathak J., Christ University, Bengaluru, India; Kumar A., School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India; Tripathi S.L., VLSI Design, Lovely Professional University, Phagwara, India; Raj B., Electronics and Communication Engineering Department, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, India
Description
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Smart Textiles and Wearables for Health and Fitness provides an in-depth exploration of how innovative technologies and materials are reshaping healthcare, making it an essential resource for anyone looking to understand the transformative power of smart textiles and wearables in patient monitoring, diagnosis, and rehabilitation. Smart Textiles and Wearables for Health and Fitness explores the transformative influence of flexible electronics on the healthcare field. The books chapters include a broad spectrum of topics, each offering valuable perspectives on the intersection of textiles, wearables, and health technology. Smart Textiles and Wearables for Health and Fitness delves into the unique technologies and materials driving the flexible electronics revolution, offering insights into their development and applications. The study explores the diverse uses of intelligent textiles and wearable devices in healthcare, encompassing activities such as monitoring patients, diagnosing conditions, aiding rehabilitation, and administering therapeutic interventions. In this volume, we will explore the incorporation of sensors, biometrics, and biomarkers into textiles to showcase their capacity for immediate health monitoring and data collection. Additionally, we will explore the possible uses of smart textiles and wearables in managing chronic conditions, tracking sports and fitness activities, and facilitating human-computer interaction in medical settings. This book promises an engaging journey through the frontiers of technology, offering a comprehensive understanding of the transformative potential of smart textiles and wearables in revolutionizing healthcare delivery and improving patient outcomes. 2025 Scrivener Publishing LLC.
Publisher
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wiley
Relation
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ISBN: 978-139430289-5; 978-139430294-9;
Language
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English
Type
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Book
Rights
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Restricted Access; Hardcopy may be available in the library