67
20
16481
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Dublin Core
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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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A sustainable non-enzymatic approach for determination of cholesterol using piper nigrum derived porous carbon/?-Fe2O3 composite electrode
Description
An account of the resource
Activated porous carbon (APC) obtained from Piper nigrum along with ?-Fe2O3 have been used to modify carbon paste electrode (CPE) for the highly sensitive and selective electrochemical determination of cholesterol. The enhanced synergistic properties observed between the biomass-derived APC and ?-Fe2O3 uplifts the electrocatalytic activity of the modified electrode (APC-Fe2O3/CPE). The prepared ?-Fe2O3 nanoparticles were characterised by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Dynamic light scattering (DLS), zeta potential measurements and Thermogravimetric analysis (TGA). High resolution transmission electron microscopy (HRTEM), Field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD) and electrochemical techniques were used to study the physico-chemical properties of the modified electrodes. Experimental conditions such as effect of pH, scan rate and concentration of cholesterol were optimized. Wide linear dynamic range between 25 nM and 300 nM, low limit of detection (LOD) and limit of quantification (LOQ) of 8 nM and 26 nM respectively make the method very effective and sensitive. Cholesterol in human blood serum samples was non-enzymatically determined using the developed method. 2021 The Electrochemical Society.
Creator
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Benny L.; Krishnan G.; Agnihotri A.S.; Akshaya K.B.; Varghese A.; Nidhin M.
Source
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Journal of the Electrochemical Society, Vol-168, No. 5
Publisher
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IOP Publishing Ltd
Date
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2021-01-01
Identifier
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<a href="https://doi.org/10.1149/1945-7111/abf8d3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/1945-7111/abf8d3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105683282&doi=10.1149%2F1945-7111%2Fabf8d3&partnerID=40&md5=3d2ac0de5e3e0b129106d0f8220c2ff6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105683282&doi=10.1149%2f1945-7111%2fabf8d3&partnerID=40&md5=3d2ac0de5e3e0b129106d0f8220c2ff6</a>
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Restricted Access
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ISSN: 134651; CODEN: JESOA
Format
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Online
Language
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English
Type
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Article
Coverage
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Benny L., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Krishnan G., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Agnihotri A.S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Akshaya K.B., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Nidhin M., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India
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Title
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Reviews
Review
Faculty Publications- Reviews
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Title
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A SWOT analysis of integrating cognitive and non-cognitive learning strategies in education
Subject
The topic of the resource
academic achievement; cognitive learning; education system; non-cognitive learning; SWOT analysis
Description
An account of the resource
Students must receive the knowledge and skills they require for succeeding in a constantly changing world. Meeting each student's diverse needs, nevertheless, is difficult. For the purpose to promote student development and improve educational outcomes, this review study attempts to give a thorough conceptual framework for integrating both cognitive and non-cognitive learning methodologies. While non-cognitive learning focuses on social and interpersonal skills, emotional intelligence, and resilience, cognitive learning involves the acquisition of intellectual skills and critical thinking. Both types of education are essential for children's holistic development. Integrating non-cognitive and cognitive approaches in education sector has several advantages. It promotes a well-rounded education by offering a balanced approach that addresses the intellectual, emotional, and social elements of student progress. To support the suggested conceptual framework, a thorough analysis of recent research on the subject is conducted. The implementation of cognitive and non-cognitive learning in the present condition is examined through a bibliometric analysis, which identifies research trends and gaps. In addition, a SWOT analysis has been done to assess the advantages, disadvantages, opportunities, and threats related to these strategies. The issues and areas that require additional research and development are better understood due to this analysis. The research's conclusions demonstrate the importance of adopting a well-rounded educational strategy which considers various demands of students. The education system can encourage academic performance, critical thinking, socio-emotional well-being, and prepare students for success in a variety of spheres of life by integrating cognitive and non-cognitive learning. It also points out the research gaps and underlines the value of further study for enhancing comprehension and cognitive and non-cognitive learning methodologies' application. 2024 John Wiley & Sons Ltd.
Creator
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Upreti K.; Kushwah V.S.; Vats P.; Alam M.S.; Singhai R.; Jain D.; Tiwari A.
Source
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European Journal of Education, Vol-59, No. 2
Publisher
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John Wiley and Sons Inc
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1111/ejed.12614" target="_blank" rel="noreferrer noopener">https://doi.org/10.1111/ejed.12614</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183906170&doi=10.1111%2Fejed.12614&partnerID=40&md5=8881ce6fe1589b81fb159f3c46ac3fff" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183906170&doi=10.1111%2fejed.12614&partnerID=40&md5=8881ce6fe1589b81fb159f3c46ac3fff</a>
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Restricted Access
Relation
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ISSN: 1418211
Format
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Online
Language
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English
Type
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Review
Coverage
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Upreti K., Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India; Kushwah V.S., School of Computing Science & Engineering, VIT Bhopal University, Bhopal, India; Vats P., Department of CSE, SCSE, Manipal University Jaipur, Jaipur, India; Alam M.S., Department of Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia; Singhai R., International Institute of professional Studies, Devi Ahilya University, Madhya Pradesh, Indore, India; Jain D., Computer science engineering-AIML and Engineering, ABES Engineering College, Ghaziabad, India; Tiwari A., School of Business Studies, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India
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https://archives.christuniversity.in/files/original/26178774469d95bbb6bdfa6dd4703873.jpg
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Dublin Core
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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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A synbiotic composition and application thereof /
Subject
The topic of the resource
Food Technology - Probiotics
Description
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Patent Number: 202041045417, Applicant: Alok Kumar Malaviya.
Creator
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Malaviya, Alok Kumar.
Source
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<a href="https://drive.google.com/file/d/1QFfHVsPP8jhOb18og68FXVbyiwecPSSs/view" target="_blank" title="A synbiotic composition and application thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1QFfHVsPP8jhOb18og68FXVbyiwecPSSs/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
2022-05-19
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/a31205714ed26992e622807a8d3646d2.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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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Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
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A system and method based on neural network and hidden markov modelling for predicting drug property /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202141030994, Applicant: Mr.Katikireddy Srinivas.
Creator
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P, Sagaya Aurelia.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1bgDpZKXqolJj9AxQ4Ckx5hQI_uhcc2KQ/view" target="_blank" title="A system and method based on neural network and hidden markov modelling for predicting drug property /" rel="noreferrer noopener">https://drive.google.com/file/d/1bgDpZKXqolJj9AxQ4Ckx5hQI_uhcc2KQ/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
2021-05-10
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/6edd5667844ef86a5b01272a59704094.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
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
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A system and method for evidence base practice in education /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202111058901, Applicant: Roopali Sharma.
A system (1) for evidence base practice in education comprising student data module; teacher data module (3); researcher data module (4); industry expert data module (5); server (6); network (7); student interest module (8); counselling module (9); concept clearing module (10); wherein each module is comprising a computer system websites which are accessible to the network and whole data of the modules is stored in the server (6).
Creator
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Tiwari, Akhilesh.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1D60_D95FVfQqgMdyQy8l6k0PwbW4V9Qr/view" target="_blank" title="A system and method for evidence base practice in education /" rel="noreferrer noopener">https://drive.google.com/file/d/1D60_D95FVfQqgMdyQy8l6k0PwbW4V9Qr/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
2021-05-09
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/913aeedf06db9a8f194a1cdc0f1aae97.png
ae8597b1fb62da5294ca14f6fc0ece85
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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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
A system and method for integrated monitoring, control and management of various parameters of agriculture and crop growth and a device for implementing the same /
Subject
The topic of the resource
Mechanical Engineering
Description
An account of the resource
Patent Number: 202041010535, Applicant: S Rakesh Kumar.
A system and method for integrated monitoring and management of vital agricultural parameters that are key for sustained plant growth and enhanced crop output, qualitatively and quantitatively is provided. The key aspects of sustained and healthy growth of agricultural crops, viz., temperature, moisture, humidity are monitored and controlled through means, comprising of temperature sensor, soil moisture sensor, motor pump progressively controlled by Arduino and the collated data are displayed through screen.
Creator
An entity primarily responsible for making the resource
D, Peter Augustine.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1NbPuuHFKPC8WtjTSoViPgbKYRpTJAJXw/view" target="_blank" title="A system and method for integrated monitoring, control and management of various parameters of agriculture and crop growth and a device for implementing the same /" rel="noreferrer noopener">https://drive.google.com/file/d/1NbPuuHFKPC8WtjTSoViPgbKYRpTJAJXw/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2020-03-21
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/2313cd589a0e496e2b7882c0c4807f3c.jpg
96e0cb74b7edc75db27cde5309115286
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
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
A system and method for managing goods using their information /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202121047598, Applicant: Anil Kumar.
A system (100) and method (100A) for managing goods using their information comprising a RFID reader (101), weherin RFID reader reading an RFID tag; an antenna (102) for identifying a tag, communication unit receiving a RFID tag value extracted by reading the RFID tag (103) from an RFID reader (101) of a transferor of an object with an attached RFID tag (103); a display unit (107) comprises a display (106) and a communication unit (105); a processing and control device (104) for mapping information of the tag.
Creator
An entity primarily responsible for making the resource
Tiwari, Akhilesh.
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/a8094ab7d821082cc2e399f08a5777f8.jpg
96e0cb74b7edc75db27cde5309115286
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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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
A system for automatic pallet changer in warehouse by using machine learning /
Subject
The topic of the resource
Mechanical Engineering
Description
An account of the resource
Patent Number: 202141042804, Applicant: Dr. G. Balakrishnan.
The system for automatic pallet changer in warehouse by using machine learning comprising to automatic pallet changer in warehouse. More particularly present invention relates to the automatic pallet changer using by machine learning system and technique by use of its supporting members and also receiving actual-time robotics information and using the real-time robotics statistics to decide an amount of time to rearrange the pallets to the premier layout and determine out the most reliable controlled-get admission to dense grid layout to which to set up the pallets is further based totally on predetermined pallet locations in the warehouse for precise pallets, and in which, within the most suitable managed-get entry to dense grid format, the particular pallets are located on the predetermined pallet places also most appropriate deep lanes format, pallets having objects expected to be shipped out of the warehouse within a threshold period of time from a present date.
Creator
An entity primarily responsible for making the resource
N, Arul Kumar.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1H0p_iQ5Vo4KgSl7aLQWEgrLpgw8QbxEG/view" target="_blank" title="A system for automatic pallet changer in warehouse by using machine learning /" rel="noreferrer noopener">https://drive.google.com/file/d/1H0p_iQ5Vo4KgSl7aLQWEgrLpgw8QbxEG/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/6e7d0610e8085b3338fd31f8824e8b77.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
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
A system for confidential inference and model protection using secure multi-party computation /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202241004611, Applicant: Kapil Tiwari.
The present invention relates to probabilistic inference based on secure multi-party computation (SMPC) techniques, and more particularly to Confidential Inference and Model Protection. The present invention addresses the privacy concern of model owners and ML client, by using the confidential inference and model protection aka CoInMPro, a technique to boost privacy of model parameters and client input during ML inference without affecting accuracy by paying a marginal performance cost.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1CqLydlRiabeR4jf1pZ1m7TE4b61uIEaW/view" target="_blank" title="A system for confidential inference and model protection using secure multi-party computation /" rel="noreferrer noopener">https://drive.google.com/file/d/1CqLydlRiabeR4jf1pZ1m7TE4b61uIEaW/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-14
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/e854b955c33d060cb150c33e894b19aa.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
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
A system for confidential inference and model protection using secure multi-party computation /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202241004611, Applicant: Kapil Tiwari.
The present invention relates to probabilistic inference based on secure multi-party computation (SMPC) techniques, and more particularly to Confidential Inference and Model Protection. The present invention addresses the privacy concern of model owners and ML client, by using the confidential inference and model protection aka CoInMPro, a technique to boost privacy of model parameters and client input during ML inference without affecting accuracy by paying a marginal performance cost.
Creator
An entity primarily responsible for making the resource
George, P Jossy.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1CqLydlRiabeR4jf1pZ1m7TE4b61uIEaW/view" target="_blank" title="A system for confidential inference and model protection using secure multi-party computation /" rel="noreferrer noopener">https://drive.google.com/file/d/1CqLydlRiabeR4jf1pZ1m7TE4b61uIEaW/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-14
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/ff02b4cbe2109ccf6f385721010c43e0.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
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
A system for confidential training and inference for vertically partitioned dataset using secure multi-party computation /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202241057386, Application: Kapil Tiwari.
The present invention applies to probabilistic inference employing secure multi-party computation (SMPC) methodologies including confidential training, inference, and model protection for vertically partitioned datasets. The proposed invention addresses privacy
complexities of vertically partitioned data owners, model owners, and ML clients using confidential training, inference, and model protection (CoTraIn-VPD), a technique to boost data, model parameter, and client input privacy during ML inference without affecting accuracy or performance.
Creator
An entity primarily responsible for making the resource
George, P Jossy.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1htzWt7TjxjOYvJqqOdMmCEh9s5aA5w07/view" target="_blank" title="A system for confidential training and inference for vertically partitioned dataset using secure multi-party computation /" rel="noreferrer noopener">https://drive.google.com/file/d/1htzWt7TjxjOYvJqqOdMmCEh9s5aA5w07/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-23
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/e19869a653b51648471949ca7844ebea.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
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
A system for confidential training and inference for vertically partitioned dataset using secure multi-party computation /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202241057386, Application: Kapil Tiwari.
The present invention applies to probabilistic inference employing secure multi-party computation (SMPC) methodologies including confidential training, inference, and model protection for vertically partitioned datasets. The proposed invention addresses privacy complexities of vertically partitioned data owners, model owners, and ML clients using confidential training, inference, and model protection (CoTraIn-VPD), a technique to boost data, model parameter, and client input privacy during ML inference without affecting accuracy or performance.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1htzWt7TjxjOYvJqqOdMmCEh9s5aA5w07/view" target="_blank" title="A system for confidential training and inference for vertically partitioned dataset using secure multi-party computation /" rel="noreferrer noopener">https://drive.google.com/file/d/1htzWt7TjxjOYvJqqOdMmCEh9s5aA5w07/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-23
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/ef0ca336e902823996d705e697e4c5d5.jpg
96e0cb74b7edc75db27cde5309115286
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
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
A name given to the resource
A system for electronic commerce product verification /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202111037073, Applicant: Dr. Akhilesh Tiwari.
A system (100) for electronic commerce product verification comprising a production company server (101), plurality of database servers (102), (103), (104), internet (105), user device (106); a unique code generation system (210); an image database (317), a control system (318), a camera (319). The unique code generation system (210) generates a code of each product having the configuration includes each retailer number, a place number, or other binomial combinations.
Creator
An entity primarily responsible for making the resource
Tiwari, Akhilesh.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1HR71WGjZq7woMs1wYR3hsUispwDbNVD_/view" target="_blank" title="A system for electronic commerce product verification /" rel="noreferrer noopener">https://drive.google.com/file/d/1HR71WGjZq7woMs1wYR3hsUispwDbNVD_/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/8f96622bf23b429c1d9ab17d2b5589b8.png
ae8597b1fb62da5294ca14f6fc0ece85
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
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
A system for human face detection and recognition using feature fusion and a method thereof /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202141031566, Applicant: Manjunatha Hiremath.
Biometric systems have become a vital role in the process of authenticating an individual based on physical or behavioral features/ traits of human beings. Biometric systems are categorized into two types namely Physiological and Behavioral systems. Face recognition, Fingerprint, Iris recognition, Hand geometry, and DNA fingerprint traits are considered as physiological biometrics which are essentially fixed and are relatively stable whereas voice recognition, signature and keystroke recognition are considered behavioral biometrics that can vary over a period of time due to some factors like aging, mood and behavior of the person.
Creator
An entity primarily responsible for making the resource
Hiremath, Manjunatha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1YAfYo__RpOz35abvNtn7WL-6lOOeRdCw/view" target="_blank" title="A system for human face detection and recognition using feature fusion and a method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1YAfYo__RpOz35abvNtn7WL-6lOOeRdCw/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-03-29
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/3e2309e6c47eab9e1f69132c42992975.png
ae8597b1fb62da5294ca14f6fc0ece85
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
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
A system for human face detection and recognition using feature fusion and a method thereof /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202141031566, Applicant: Manjunatha Hiremath.
Biometric systems have become a vital role in the process of authenticating an individual based on physical or behavioral features/ traits of human beings. Biometric systems are categorized into two types namely Physiological and Behavioral systems. Face recognition, Fingerprint, Iris recognition, Hand geometry, and DNA fingerprint traits are considered as physiological biometrics which are essentially fixed and are relatively stable whereas voice recognition, signature and keystroke recognition are considered behavioral biometrics that can vary over a period of time due to some factors like aging, mood and behavior of the person.
Creator
An entity primarily responsible for making the resource
Paulose, Joy.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1YAfYo__RpOz35abvNtn7WL-6lOOeRdCw/view" target="_blank" title="A system for human face detection and recognition using feature fusion and a method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1YAfYo__RpOz35abvNtn7WL-6lOOeRdCw/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-03-29
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/e4be5c53b75d44df1cc183773435d075.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
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
A system for language prediction based on the internet of things /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202211036605, Applicant: Dr. Manoj Kumar Tamta.
This article outlines a cutting-edge method for forecasting landslides that makes use of WSN, GPS, GSM, and Internet of Things (IoT) hardware in the appropriate places. The recently developed technology, which is made up of sensors connected to the Internet of Things and wireless sensor networks, can anticipate potential hazards, obstructions, and environmental factors. In addition, the system will make use of GPS and GSM modules to pinpoint the location of the accident and communicate the relevant information to the appropriate parties.
Creator
An entity primarily responsible for making the resource
R, Sathish Kumar.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1VGtxCxZ5Rhkae06m5Mb3603C20kOrQlg/view" target="_blank" title="A system for language prediction based on the internet of things /" rel="noreferrer noopener">https://drive.google.com/file/d/1VGtxCxZ5Rhkae06m5Mb3603C20kOrQlg/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-22
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/5788763b2eeeced5905f5ee688ffe366.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
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
A system for measuring mediating effect of globalization on income distribution in emerging economies /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202231033186, Applicant: Shruti Mohapatra.
The present invention discloses a system that is configured to receive from a user an income range and a geographical scope of interest in a predefined set of income distribution and aggregating prediction data from the income range and geographical scope from one or more of the asset classes selected from the group consisting of currency, bond, commodity, and stock. Further, automatically determining changes over time within the income range of one or more statistical analysis values of the aggregated prediction data selected from the group consisting of mean, median, mode, difference of means, standard deviation, variance, tolerance levels, skewness, kurtosis, inflection points and Bayesian analysis.
Creator
An entity primarily responsible for making the resource
Bhandari, Jitender.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1jdoRll0gO7nz50Fyx2jkOa4eECTOBLgb/view" target="_blank" title="A system for measuring mediating effect of globalization on income distribution in emerging economies /" rel="noreferrer noopener">https://drive.google.com/file/d/1jdoRll0gO7nz50Fyx2jkOa4eECTOBLgb/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-23
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/3bc49194f2a918ff9e9beb3fa47127ae.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
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
A system for measuring mediating effect of globalization on income distribution in emerging economies /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202231033186, Applicant: Shruti Mohapatra.
The present invention discloses a system that is configured to receive from a user an income range and a geographical scope of interest in a predefined set of income distribution and aggregating prediction data from the income range and geographical scope from one or more of the asset classes selected from the group consisting of currency, bond, commodity, and stock. Further, automatically determining changes over time within the income range of one or more statistical analysis values of the aggregated prediction data selected from the group consisting of mean, median, mode, difference of means, standard deviation, variance, tolerance levels, skewness, kurtosis, inflection points and Bayesian analysis.
Creator
An entity primarily responsible for making the resource
Chaudhuri, Salineeta.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1jdoRll0gO7nz50Fyx2jkOa4eECTOBLgb/view" target="_blank" title="A system for measuring mediating effect of globalization on income distribution in emerging economies /" rel="noreferrer noopener">https://drive.google.com/file/d/1jdoRll0gO7nz50Fyx2jkOa4eECTOBLgb/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-23
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/1308f8e87b9ae61c352287be62d14255.png
ae8597b1fb62da5294ca14f6fc0ece85
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
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
A system for regulated distributed deep learning in cloud and smart mobile devices /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202121025112, Applicant: Supriya Prashant Diwan.
The system in the present invention keeps the private data locally in smartphones, shares trained parameters and builds a global consensus model. The feasibility and usability of the proposed system are evaluated by three experiments and related discussion. The experimental results show that the distributed deep learning system can reconstruct the behavior of centralized training. We also measure the cumulative network traffic in different scenarios and show that the partial parameter sharing strategy does not only preserve the performance of the trained model but also can reduce network traffic.
Creator
An entity primarily responsible for making the resource
R, Ganesh Kumar.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1cfWF3Qro27DECykHlQ2LiK3EMpLDaXq-/view" target="_blank" title="A system for regulated distributed deep learning in cloud and smart mobile devices /" rel="noreferrer noopener">https://drive.google.com/file/d/1cfWF3Qro27DECykHlQ2LiK3EMpLDaXq-/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-04-11
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/50fafbfab9c8c8fc8139cdd4d59f69ba.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
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
A system for resource aggregation to the cloud with optimal path detection /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202141020723, Applicant: Dr.M.Anjankumar.
The Cloud Computing is the computing attractive processing models that comprising of the several resources such as Computing Power by Central Processing Unit (CPU), Data Storage, and Network Bandwidth. Cloud Computing allows the user to access their personal files, and resources at any computer with the use of internet and central remote servers without being installing any extra softwares.
Creator
An entity primarily responsible for making the resource
P, Sagaya Aurelia.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1tqSrPy_69eB70asj3PBvkQDpo8UGny_L/view" target="_blank" title="A system for resource aggregation to the cloud with optimal path detection /" rel="noreferrer noopener">https://drive.google.com/file/d/1tqSrPy_69eB70asj3PBvkQDpo8UGny_L/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-10
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent