113
20
16481
-
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
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
A name given to the resource
An Optimal Load Balancing Framework for Fog-Assisted Smart Grid Applications
Subject
The topic of the resource
Cloud computing; Fog computing; Load balancing; Optimization; Performance evaluation; Smart grid
Description
An account of the resource
The growth of the Internet of Things (IoT) causes a significant amount of data to come in from physical devices and sensors, which adds to the latency and processing delays in smart grid applications. The pay-per-model method of transmitting gathered data that cloud computing offers improves scalability and functionality for end devices, which increases smart grid efficiency. Milliseconds matter in the crucial realms of load balancing, resource usage, and distribution systems, where any latency or jitter is unacceptable. By strategically positioning processing, networking, storage, and communication capabilities at the network edge, fog computing, an outgrowth of cloud technology, successfully addresses current issues in service groups. This paper introduces a unique hybrid framework on a highly virtualized platform and proposes three potential load balancing algorithms: throttled, Round Robin, and a novel Equilibrium Optimizer with Simulated Annealing (EO-SA). The article provides a comprehensive investigation on several load balancing techniques for obtaining optimized services in a smart grid environment thereby focusing on better utilization of network resources and reduction of costs. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Creator
An entity primarily responsible for making the resource
Sharma V.; Tripathy S.S.; Bebortta S.; Iwendi C.; Osamor J.
Source
A related resource from which the described resource is derived
Lecture Notes in Networks and Systems, Vol-1043 LNNS, pp. 589-601.
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-981-97-4228-8_38" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-4228-8_38</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208957806&doi=10.1007%2F978-981-97-4228-8_38&partnerID=40&md5=c93ed18fe32427c70926dd9ea48be728" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208957806&doi=10.1007%2f978-981-97-4228-8_38&partnerID=40&md5=c93ed18fe32427c70926dd9ea48be728</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 23673370; ISBN: 978-981974227-1
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sharma V., Computer Science Department, Christ University, Delhi NCR Campus, India; Tripathy S.S., School of Computer Engineering, KIIT Deemed to Be University, Bhubaneswar, 751024, India; Bebortta S., Department of Computer Science, Ravenshaw University, Cuttack, 753003, India; Iwendi C., School of Creative Technologies, University of Bolton, Bolton, United Kingdom; Osamor J., University of Westminster, London, United Kingdom
-
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
Articles
Article
Faculty Publications -Articles
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
AN OPTIMIZATION AND PREDICTIVE MODELING TO ENHANCE THE WEAR AND MECHANICAL PERFORMANCE OF Al 5054 ALLOY FOR DEFENSE APPLICATIONS WITH TiO2 NANOPARTICLES
Subject
The topic of the resource
Artificial Neural Network; impact; Taguchi design of experiments; tensile; wear test
Description
An account of the resource
This study examines the effects of 2%, 4%, and 6% additions of TiO2 nanoparticles on the wear and mechanical characteristics of Al 5054 alloy reinforcement. The results demonstrate that the addition of TiO2 nanoparticles considerably increases the alloys tensile and impact strengths. Tensile strength reaches a peak of 221 MPa at 6% reinforcement and it rises gradually as the percentage of TiO2 reinforcement increases. Similarly, impact strength rises with time and, with TiO2 reinforcement, it reaches a maximum of 63 Joules at 6%. Wear analysis using Taguchi-based design determines the optimal combination of composition, disc rotation speed, load, and sliding distance to minimize a given wear rate and friction force. The SEM analysis validates that the composites exhibit enhanced wear resistance due to the uniform distribution of TiO2 nanoparticles. An Artificial Neural Network (ANN) model is also developed to predict the responses, and it achieves an overall accuracy of 83.549%. The mechanical properties and wear resistance of TiO2-reinforced Al 5054 composites can be enhanced, as it is demonstrated by these results. This information is crucial for material design and optimization across a range of engineering applications. 2024, Scibulcom Ltd.. All rights reserved.
Creator
An entity primarily responsible for making the resource
Sahu S.K.; Bansod P.J.; Mohanasundaram S.; Vetrivel K.P.; Pandian P.P.; Rajendiran M.
Source
A related resource from which the described resource is derived
Journal of the Balkan Tribological Association, Vol-30, No. 1, pp. 67-80.
Publisher
An entity responsible for making the resource available
Scibulcom Ltd.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192349941&partnerID=40&md5=58081323ea55c2f196c7b0199cdcc1b1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192349941&partnerID=40&md5=58081323ea55c2f196c7b0199cdcc1b1</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 13104772
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sahu S.K., Department of Mechanical Engineering, Veer Surendra Sai University of Technology, Odisha, Burla, India; Bansod P.J., Department of Mechanical Engineering, G H Raisoni College of Engineering & Management Wagholi, Maharashtra, Pune, India; Mohanasundaram S., Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, India; Vetrivel K.P., Department of Mechanical Engineering, M. P. Nachimuthu M. Jaganathan Engineering College, Tamil Nadu, Erode, India; Pandian P.P., Department of Mechanical Engineering, School of Engineering and Technology, Christ University (Deemed to be University), Karnataka, Bangalore, India; Rajendiran M., Department of Computer Science and Engineering, Panimalar Engineering College, Poonamallee, Tamil Nadu, Chennai, India
-
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
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
A name given to the resource
An Optimized Algorithm for Selecting Stable Multipath Routing in MANET Using Proficient Multipath Routing and Glowworm Detection Techniques
Subject
The topic of the resource
Damaged route identification method; Detection efficiency; Glowworm detection node algorithm; Glowworm optimization; Proficient multipath routing technique; Proficient routing method
Description
An account of the resource
Mobile Ad Hoc Networks (MANETs) depend on the selected and constant path with an extended period and the flexibility of the battery power condensed in searching end nodes, leading to numerous link failures. This kind of link damages occurs, and it also affects the packet success rate. We presented a Proficient Multipath Routing and Glowworm detection (PMGWD) technique to overcome such a Manets failure. Initially, a proposed Proficient Multipath Routing (PMR) technique identifies the damaged or failure routes and continues communication inefficiently. Secondly, the Glowworm detection node technique is implemented for both fault node identification and for extending the nodes network lifetime. Another reason to select the glowworm optimization is to update the node based on the glow to improve its neighbor its search space. Lastly, the PMGWD technique is utilized for identifying an optimal route and fault nodes in the manet. It is achieved to correct the identification of fault nodes using the glowworm detection node technique, and it helps to explore more paths for the optimal route by using proficient multipath routing. Hence, this proposed PMGWD technique is used to perform a problem-free communication process in a network system. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
An entity primarily responsible for making the resource
Idrees B.A.; Naif S.S.; Galety M.G.; Arulkumar N.
Source
A related resource from which the described resource is derived
Lecture Notes in Electrical Engineering, Vol-840, pp. 511-523.
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-981-16-9012-9_41" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9012-9_41</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128694375&doi=10.1007%2F978-981-16-9012-9_41&partnerID=40&md5=9dc48ad56c66b1a8820d7baf651e72d0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128694375&doi=10.1007%2f978-981-16-9012-9_41&partnerID=40&md5=9dc48ad56c66b1a8820d7baf651e72d0</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 18761100; ISBN: 978-981169011-2
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Idrees B.A., College of Physical Education and Sport Sciences, University of Duhok, Kurdistan Region, Duhok, Iraq; Naif S.S., College of Medicine, University of Duhok, Kurdistan Region, Duhok, Iraq; Galety M.G., Department of Information Technology, Catholic University in Erbil, Kurdistan Region, Erbil, Iraq; Arulkumar N., Department of Computer Science, CHRIST (Deemed To Be University), Bangalore, India
-
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
Faculty Publications
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/.
Creator
An entity primarily responsible for making the resource
Saraswathi, D.; Kavitha, R.
Title
A name given to the resource
An Optimized Approach for Spam Message Detection Using C4.5 Classifier with Stochastic Hill Climbing and Genetic Algorithm for Feature Selection
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2026
Source
A related resource from which the described resource is derived
2026 2nd International Conference on Intelligent Systems for Communication, IoT and Security, ICISCoIS 2026;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICISCoIS62701.2026.11447774" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICISCoIS62701.2026.11447774</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037453215?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037453215?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Saraswathi D., Psg College of Arts & Science, Department of Computer Science, Coimbatore, India; Kavitha R., Christ University, Department of Statistics and Data Science, Bangalore, India
Description
An account of the resource
In the mobile industry, text messaging is a popular feature that is mainly intended to make money for service providers. But spam, which is defined as unsolicited bulk messages that contain commercial content, has become a widespread problem. These spam texts are frequently used to spread phishing links or advertise goods and services in order to make money. The phone alerts the user whenever spam text messages arrive in their inbox. When the user discovers that the message is unsolicited, these unsolicited texts not only take up storage space and waste their time, but they also irritate them. Even with the development of numerous sophisticated algorithms to identify spam, users are still impacted by text message spam. Thus, the mobile sector needs to implement efficient filtering methods. The proposed study uses the C4.5 Decision Tree as the classification model and combines a Genetic Algorithm and Stochastic Hill Climbing to find optimal features in order to detect spam in text messages. This method uses metaheuristic techniques to find the best features, which are then categorized using decision trees. This hybrid model performs better than current classification methods. 2026 IEEE.
Subject
The topic of the resource
Classification; Decision Tree; Hybrid approach; Metaheuristic Algorithm; Spam message; Stochastic Hill Climbing
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833154596-3;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
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
Articles
Article
Faculty Publications -Articles
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
An optimized back propagation neural network for automated evaluation of health condition using sensor data
Subject
The topic of the resource
Condition monitoring; Fault prediction; Fish swarm algorithm; Health status assessment; Machine learning; Optimized back propagation neural network
Description
An account of the resource
Ships and other large equipment must meet strict standards for equipment integrity and operational dependability in order to perform missions. To meet this demand, one of the essential linkages is to guarantee the long-term safe and healthy functioning of their power transmission equipment. The Optimized Back Propagation Neural Network (OBPNN) technique used in this study introduces a unique method for monitoring sensor data and evaluating the health state, with the SVM being optimized using the fish swarm algorithm (FSA). A major problem that maintenance is facing nowadays is reliable fault prediction. One of the trickiest difficulties is arguably automatically modelling typical behaviour from condition monitoring data, particularly when there is little information about actual failures. A data-driven learning framework with the best bandwidth selection is suggested to address this challenge. It is based on nonparametric density estimation for outlier identification and OBPNN for normality modelling. The distance to the separating hyper plane's log-normalization is used to provide a health score that is also available. The algorithm's viability is shown by experimental findings while evaluating the progression of a major defect over time in a marine diesel engine. Improved prediction capabilities and low false positive rates on healthy data are realized. 2023 The Authors
Creator
An entity primarily responsible for making the resource
Mandala V.; Senthilnathan T.; Suganyadevi S.; Gobhinath S.; Selvaraj D.; Dhanapal R.
Source
A related resource from which the described resource is derived
Measurement: Sensors, Vol-29
Publisher
An entity responsible for making the resource available
Elsevier Ltd
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.measen.2023.100846" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2023.100846</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166478853&doi=10.1016%2Fj.measen.2023.100846&partnerID=40&md5=bf195a640b5af570deeb150754c18f06" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166478853&doi=10.1016%2fj.measen.2023.100846&partnerID=40&md5=bf195a640b5af570deeb150754c18f06</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access
Relation
A related resource
ISSN: 26659174
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Mandala V., Enterprise Architect, Student in Indiana University, MS in Data Science, IU Bloomington, 107 S. Indiana Avenue, Bloomington, 47405, IN, United States; Senthilnathan T., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, _29, India; Suganyadevi S., Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India; Gobhinath S., Department of Electrical and Electronics Engineering, Dr.N.G.P. Institute of Technology, Coimbatore, India; Selvaraj D., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, 641202, India; Dhanapal R., Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Tamilnadu, Coimbatore, India
-
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
Faculty Publications
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/.
Creator
An entity primarily responsible for making the resource
Singh, Ujjwal Kumar; Raj, Aryan; Anand, Amritesh; Baghel, Neeraj; Sharma, Vandana; Mallick, Rahul Dev
Title
A name given to the resource
An Optimized Convolutional Neural Network Model for Real-Time Object Detection in Drones
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/AIMV66517.2025.11203684" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIMV66517.2025.11203684</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021819959?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021819959?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Singh U.K., Kalinga Institute of Industrial Technology, School of Computer Engineering, Odisha, India; Raj A., Kalinga Institute of Industrial Technology, School of Computer Engineering, Odisha, India; Anand A., Tata Consultancy Services Limited, Lucknow, India; Baghel N., Bennett University, SCSET, India; Sharma V., CHRIST University, Computer Science Department, Bengaluru, India; Mallick R.D., Kalinga Institute of Industrial Technology, School of Computer Engineering, Odisha, India
Description
An account of the resource
The capacity of drones to perform item detection in actual-time is crucial for applications inclusive of surveillance, seek and rescue, and environmental tracking. This look at investigates how convolutional neural networks (CNNs) can beautify object detection in aerial imagery by enhancing both accuracy and speed. CNNs excel at extracting spatial info, permitting drones to apprehend objects even in relatively complicated environments. by adopting light-weight CNN architectures and optimization strategies, we acquire advanced performance with minimum computational requirements, ensuring green operation on embedded drone platforms. Our findings verify that CNN-based fashions considerably decorate detection accuracy and responsiveness, allowing the improvement of smarter and more self reliant drones. 2025 IEEE.
Subject
The topic of the resource
autonomous navigation; Convolutional Neural Networks; drones; object detection; optimization strategies; real-time processing
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833152697-9;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
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
Faculty Publications
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/.
Creator
An entity primarily responsible for making the resource
Singh, Ujjwal Kumar; Raj, Aryan; Anand, Amritesh; Baghel, Neeraj; Sharma, Vandana; Mallick, Rahul Dev
Title
A name given to the resource
An Optimized Convolutional Neural Network Model for Real-Time Object Detection in Drones
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/AIMV66517.2025.11203684" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIMV66517.2025.11203684</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021819959?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021819959?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Singh U.K., Kalinga Institute of Industrial Technology, School of Computer Engineering, Odisha, India; Raj A., Kalinga Institute of Industrial Technology, School of Computer Engineering, Odisha, India; Anand A., Tata Consultancy Services Limited, Lucknow, India; Baghel N., Bennett University, SCSET, India; Sharma V., CHRIST University, Computer Science Department, Bengaluru, India; Mallick R.D., Kalinga Institute of Industrial Technology, School of Computer Engineering, Odisha, India
Description
An account of the resource
The capacity of drones to perform item detection in actual-time is crucial for applications inclusive of surveillance, seek and rescue, and environmental tracking. This look at investigates how convolutional neural networks (CNNs) can beautify object detection in aerial imagery by enhancing both accuracy and speed. CNNs excel at extracting spatial info, permitting drones to apprehend objects even in relatively complicated environments. by adopting light-weight CNN architectures and optimization strategies, we acquire advanced performance with minimum computational requirements, ensuring green operation on embedded drone platforms. Our findings verify that CNN-based fashions considerably decorate detection accuracy and responsiveness, allowing the improvement of smarter and more self reliant drones. 2025 IEEE.
Subject
The topic of the resource
autonomous navigation; Convolutional Neural Networks; drones; object detection; optimization strategies; real-time processing
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833152697-9;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
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
Articles
Article
Faculty Publications -Articles
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
An optimized method for mulberry silkworm, Bombyx mori (Bombycidae:Lepidoptera) sex classification using TLBPSGA-RFEXGBoost
Subject
The topic of the resource
Accelerated HOG; Classification; RFEXGBoost; Seed production; Sericulture; TLBPSGA
Description
An account of the resource
Silkworm seed production is vital for silk farming, requiring precise breeding techniques to optimize yields. In silkworm seed production, precise sex classification is crucial for optimizing breeding and boosting silk yields. A non-destructive approach for sex classification addresses these challenges, offering an efficient alternative that enhances both yield and environmental responsibility. Southern India is a hub for mulberry silk and cocoon farming, with the high-yielding double-hybrid varieties FC1 (foundation cross 1) and FC2 (foundation cross 2) being popular. Traditional methods of silkworm pupae sex classification involve manual sorting by experts, necessitating the cutting of cocoons a practice with a high risk of damaging the cocoon and affecting yield. To address this issue, this study introduces an accelerated histogram of oriented gradients (HOG) feature extraction technique that is enhanced by block-level dimensionality reduction. This non-destructive method allows for efficient and accurate silkworm pupae classification. The modified HOG features are then fused with weight features and processed through a machine learning classification model that incorporates recursive feature elimination (RFE). Performance evaluation shows that an RFE-hybridized XGBoost model attained the highest classification accuracy, achieving 97.2% for FC1 and 97.1% for FC2. The model further optimized with a novel teaching learning-based population selection genetic algorithm (TLBPSGA) achieved a remarkable accuracy of 98.5% for FC1 and 98.2% for FC2. These findings have far-reaching implications for improving both the ecological sustainability and economic efficiency of silkworm seed production. 2024. Published by The Company of Biologists Ltd.
Creator
An entity primarily responsible for making the resource
Thomas S.; Thomas J.
Source
A related resource from which the described resource is derived
Biology Open, Vol-13, No. 7
Publisher
An entity responsible for making the resource available
Company of Biologists Ltd
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1242/bio.060468" target="_blank" rel="noreferrer noopener">https://doi.org/10.1242/bio.060468</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201219175&doi=10.1242%2Fbio.060468&partnerID=40&md5=a48cb54af93e58ec25d1b6444cbb4914" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201219175&doi=10.1242%2fbio.060468&partnerID=40&md5=a48cb54af93e58ec25d1b6444cbb4914</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access; Green Open Access
Relation
A related resource
ISSN: 20466390
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Thomas S., Department of Computer Science and Engineering, Christ University, Bangalore, 560029, India; Thomas J., Department of Computer Science and Engineering, Christ University, Bangalore, 560029, India
-
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
Articles
Article
Faculty Publications -Articles
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
An optimized technique to foster omnichannel retail experience leveraging key technology dimensions in the context of an emerging digital market
Subject
The topic of the resource
Digital Market; Omnichannel; Retail; Shopping Experience
Description
An account of the resource
Customers approach towards shopping has transformed, as a result of their reduced tolerance, increased technology usage and being well informed than ever before. As customers expect a seamless shopping experience regardless of where they are engaged within a retailers network, the line between physical and digital retailing is blurring. Retailers across the world are contemplating on transforming into Omnichannel hubs to deliver an elevated experience anytime anywhere. And, experts have often indicated that an Omnichannel strategy delivers a unified shopping experience than a mere channel experience. However, the true Omnichannel experience is still not evident in India with minimal action in this space, indicating a subverted outlook towards building necessary Omnichannel Capabilities. This paper examines the most essential and significant technology dimensions that are imperative towards fostering a seamless Omnichannel Retail Experience. The findings of this study serve as a basis for retailers in India to evaluate their strategies towards adopting these technology dimensions and respective capabilities, using an optimized approach. The study employed a quantitative research involving survey of executives from major retailers in India. The quantitative data was analyzed applying Structural Equation Modeling, to ascertain the technology dimensions that emerged and their significance in deriving Omnichannel Retail Experience. BEIESP.
Creator
An entity primarily responsible for making the resource
Kumar G.; Uma V.R.
Source
A related resource from which the described resource is derived
International Journal of Engineering and Advanced Technology, Vol-8, No. 6, pp. 5056-5061.
Publisher
An entity responsible for making the resource available
Blue Eyes Intelligence Engineering and Sciences Publication
Date
A point or period of time associated with an event in the lifecycle of the resource
2019-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.35940/ijeat.F9550.088619" target="_blank" rel="noreferrer noopener">https://doi.org/10.35940/ijeat.F9550.088619</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072071637&doi=10.35940%2Fijeat.F9550.088619&partnerID=40&md5=9be6c97fc0775f06e23e5aa1d1568958" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072071637&doi=10.35940%2fijeat.F9550.088619&partnerID=40&md5=9be6c97fc0775f06e23e5aa1d1568958</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access
Relation
A related resource
ISSN: 22498958
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Kumar G., CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Uma V.R., CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India
-
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
Articles
Article
Faculty Publications -Articles
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
An ordered ideal intuitionistic fuzzy software quality model
Subject
The topic of the resource
Fuzzy multi-criteria decision making; Intuitionistic fuzzy sets; Similarity measure; Software quality attributes
Description
An account of the resource
Software is one of the major factors in the development of computer - based systems and products. Measurement of the software quality is thus the key factor that has to be taken into account while developing a software system. Many software quality models with numerous quality parameters are under use to measure the performance of a software system, on the basis of which the software is valued. This study intends to make available a fuzzy multiple criteria decision making (FMCDM) approach to measure software quality and to propose new similarity measures between ordered ideal intuitionistic fuzzy sets (OIIFSs). The proposed model is applied to five live software projects so as to quantify the software quality of each project under fuzzy environment. IAEME Publication.
Creator
An entity primarily responsible for making the resource
Kalayathankal S.J.; Abraham J.T.; Kureethara J.V.
Source
A related resource from which the described resource is derived
International Journal of Mechanical Engineering and Technology, Vol-8, No. 10, pp. 535-546.
Publisher
An entity responsible for making the resource available
IAEME Publication
Date
A point or period of time associated with an event in the lifecycle of the resource
2017-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036540082&partnerID=40&md5=d0f1544414537f59ade53336af24bbab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036540082&partnerID=40&md5=d0f1544414537f59ade53336af24bbab</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 9766340
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Kalayathankal S.J., Research and Development Center, Bharathiar University, Coimbatore, Tamil Nadu, India, Kuriakose Elias College, Mannanam, Kottayam, Kerala, India; Abraham J.T., Department of Computer Science, Bharatha Matha College, Thrikkakkara, Kerala, India; Kureethara J.V., Department of Mathematics and Statistics, Christ University, Bengaluru, Karnataka, India
-
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
Articles
Article
Faculty Publications -Articles
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
An organocatalytic C-C bond cleavage approach: A metal-free and peroxide-free facile method for the synthesis of amide derivatives
Description
An account of the resource
A facile organocatalytic approach has been devised towards the synthesis of amide derivatives using 1,3-dicarbonyls as easily available acyl-sources under peroxide-free reaction conditions. This transformation was accomplished by the cleavage of the C-C bond in the presence of TEMPO as an organocatalyst and excludes the use of transition-metals and harsh reaction conditions. A broad range of substrates with diverse functional groups were well tolerated and delivered the products in high yields. The Royal Society of Chemistry and the Centre National de la Recherche Scientifique.
Creator
An entity primarily responsible for making the resource
Vodnala N.; Gujjarappa R.; Polina S.; Satheesh V.; Kaldhi D.; Kabi A.K.; Malakar C.C.
Source
A related resource from which the described resource is derived
New Journal of Chemistry, Vol-44, No. 48, pp. 20940-20944.
Publisher
An entity responsible for making the resource available
Royal Society of Chemistry
Date
A point or period of time associated with an event in the lifecycle of the resource
2020-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1039/d0nj04158k" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d0nj04158k</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098288953&doi=10.1039%2Fd0nj04158k&partnerID=40&md5=98d6108a0b292e4ec395cf5ebbd3d760" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098288953&doi=10.1039%2fd0nj04158k&partnerID=40&md5=98d6108a0b292e4ec395cf5ebbd3d760</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 11440546; CODEN: NJCHE
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Vodnala N., Department of Chemistry, National Institute of Technology Manipur, Imphal, Manipur, 795004, India; Gujjarappa R., Department of Chemistry, National Institute of Technology Manipur, Imphal, Manipur, 795004, India; Polina S., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore, 560029, India; Satheesh V., Schulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa, 3200003, Israel; Kaldhi D., Department of Chemistry, National Institute of Technology Manipur, Imphal, Manipur, 795004, India; Kabi A.K., Department of Chemistry, National Institute of Technology Manipur, Imphal, Manipur, 795004, India; Malakar C.C., Department of Chemistry, National Institute of Technology Manipur, Imphal, Manipur, 795004, India
-
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
Articles
Article
Faculty Publications -Articles
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
An outlook in blockchain technology- Architecture, applications and challenges
Subject
The topic of the resource
Applications; Block chain; Categories; Performance; Scalability
Description
An account of the resource
Blockchain is mechanism which stores and exchange data in a peer-peer network serving as an immutable ledger allowing transactions to take place in decentralized method which neglects the role of intermediaries. The technology reduces greater complexity by combining three key features; security, decentralization and transparency. This paper is an attempt explaining the concepts, structure, applications and challenges the technology has. The paper introduces blockchain taxonomy, reviews applications and discussed technical challenges and way of handling these challenges. Blockchain technology is springing up with promising applications in various fields and the authors have explored about three emerging field of blockchain say; Education, Government and Healthcare. Finally the paper concludes by stating other emerging fields of applications where further research can be explored. International Research Publication House.
Creator
An entity primarily responsible for making the resource
Aarthy C.; Aishwarya N.
Source
A related resource from which the described resource is derived
International Journal of Engineering Research and Technology, Vol-12, No. 12, pp. 2133-2137.
Publisher
An entity responsible for making the resource available
International Research Publication House
Date
A point or period of time associated with an event in the lifecycle of the resource
2019-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078826233&partnerID=40&md5=9bbf698858287eaab0cfe0a689f377da" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078826233&partnerID=40&md5=9bbf698858287eaab0cfe0a689f377da</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 9743154
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Aarthy C., Christ (Deemed to be) University, Bengaluru, India; Aishwarya N., Christ (Deemed to be) University, Bengaluru, India
-
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
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
A name given to the resource
An Outlook of Gender Differential Happiness in India
Subject
The topic of the resource
female happiness; gender; gendering happiness; happiness; India; OLS; Ordinary Least Square Regression; self-reported happiness; World Value Survey; WVS
Description
An account of the resource
Studies on happiness and subjective wellbeing, in general, are aplenty, but applying a gender lens to it is comparatively rare, especially in the Indian context. The social construction of gender roles will influence happiness being a subjective matter. This paper explores this idea of gender differential happiness in light of India's peculiar social and cultural context. Using the World Value Survey (WVS) for India (Wave 6) in 2012 and Ordinary Least Square (OLS) regression analysis, the study finds that self-reported happiness is gender differential in India. Factors such as marital status, educational attainments, managerial roles and thrust on women empowerment were found to be vital for happiness for all. However, there are visible patriarchal gender stereotype notions with factors such as individual autonomy and homemaking. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Palathara T.S.; Pulikkamath A.
Source
A related resource from which the described resource is derived
TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/TQCEBT59414.2024.10545134" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545134</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204450627&doi=10.1109%2FTQCEBT59414.2024.10545134&partnerID=40&md5=ae2398d5e2b69b34941ff263b8e867f4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204450627&doi=10.1109%2fTQCEBT59414.2024.10545134&partnerID=40&md5=ae2398d5e2b69b34941ff263b8e867f4</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835038427-7
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Palathara T.S., Department of Data Science, Christ (Deemed to Be University), Pune, Lavasa, India; Pulikkamath A., School of Social Sciences and Humanities, VIT-AP University, Amaravati, India
-
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
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
A name given to the resource
An Outlook on Sustainable Business Practices through Virtual Reality Marketing
Subject
The topic of the resource
Business Practices; Marketing; Presence; Sustainability; Virtual Reality
Description
An account of the resource
Technologies and businesses blend progressively and work towards creating a sustainable future through the company's marketing strategies. The purpose of the study is to find out the various sustainable outcomes of Virtual Reality Marketing (VRM). The exploratory research identified immersive experience, experiential economy, positive image creation, positive travel decisions, and repeat purchase as the constructs of VRM, and a total of 418 people were surveyed to analyze those constructs. The data were analyzed through statistical tests such as t-test, One-way ANOVA, and Chi-square with the help of SPSS software. The study shows a positive relationship between customers and virtual reality marketing. The results predict that businesses that have incorporated VRM tend to likely have a high-profit margin and more sustainable returns compared to their peer competitors. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Rina Daline T.; Thomas J.
Source
A related resource from which the described resource is derived
International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/SEB4SDG60871.2024.10630336" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SEB4SDG60871.2024.10630336</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202943132&doi=10.1109%2FSEB4SDG60871.2024.10630336&partnerID=40&md5=41c3bb161fa4af44ae7f74d0a33c17de" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202943132&doi=10.1109%2fSEB4SDG60871.2024.10630336&partnerID=40&md5=41c3bb161fa4af44ae7f74d0a33c17de</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835035815-5
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Rina Daline T., CHRIST (Deemed to Be University), Tourism, Bangalore, India; Thomas J., CHRIST (Deemed to Be University), Bangalore, India
-
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
Reviews
Review
Faculty Publications- Reviews
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
An outlook on zero-dimensional nanocarbons as components of DSSC
Subject
The topic of the resource
Carbon dots; Counter electrode; Dye-sensitized solar cells; Photoanodes; Sensitizers
Description
An account of the resource
Solar energy is an abundant source of energy, and harnessing the suns radiation with an efficient solar cell can be a promising technology for a limitless supply of sustainable energy. The amount of solar power that reaches the earth is beyond the worlds energy consumption. But, the main cause for minimal usage of the suns energy is the complicated technology, restricted band gap, high-temperature instability, and high cost of production. Likewise, the usage of space and infrastructure required for the installation of solar cells is yet another reason for limited usage. Upon comparing the emerging photovoltaics, DSSC (dye-sensitized solar cells) can be a solution for the drawbacks faced by the older generation solar cells which has greater future scope as an energy harvester. Rapid technological growth over the years, usage of affordable materials, and capability of working efficiently in low lighting conditions make DSSC a commercially viable and potent solar energy harvester. Furthermore, its efficiency can be improved with the inclusion of low-dimensional nanocarbons in various components of DSSC. Therefore, this review describes the mechanisms of improving the performance of zero-dimensional nanocarbons and their application in components of DSSC alternative to conventional materials. The significant impact of surface functionalization of low-dimensional nanocarbon on the performance of dye-sensitized solar cells is also discussed. Graphical abstract: (Figure presented.) The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Creator
An entity primarily responsible for making the resource
Rao A.A.; Joseph A.P.; Balachandran M.
Source
A related resource from which the described resource is derived
Biomass Conversion and Biorefinery, Vol-14, No. 8, pp. 9023-9045.
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/s13399-022-03208-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s13399-022-03208-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137741182&doi=10.1007%2Fs13399-022-03208-3&partnerID=40&md5=abb2059f07f3fa9c73bac0ce5165b6a0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137741182&doi=10.1007%2fs13399-022-03208-3&partnerID=40&md5=abb2059f07f3fa9c73bac0ce5165b6a0</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 21906815
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Review
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Rao A.A., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India; Joseph A.P., Department of Media Studies, Christ University, Karnataka, Bengaluru, 560029, India; Balachandran M., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India
-
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
Articles
Article
Faculty Publications -Articles
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
An overlap-based human gait cycle detection
Subject
The topic of the resource
Gait; Gait cycle; Overlap; Silhouette; Zero-crossing
Description
An account of the resource
Identification of a person by his/her style of walking is referred as gait recognition. Gait is one among the biometric used for human identification. In gait recognition, an inevitable step for accurate feature extraction is gait cycle detection. In this paper, a novel gait cycle detection algorithm based on the concept of overlap between legs during locomotion is proposed. To identify overlap, zero-crossing counts of silhouette frames as well as bottom halves of silhouette frames are considered. The efficiency of this algorithm is tested using normal walking sequence of subjects with 90 viewing angle from CASIA B as well as TUM-IITKGP human gait databases. The results obtained shows that gait cycle can be easily and efficiently detected with zero-crossing count of silhouette frames. Further zero-crossing counts taken from bottom halves of silhouette frames gives better performance. Copyright 2019 Inderscience Enterprises Ltd.
Creator
An entity primarily responsible for making the resource
Sugandhi K.; Wahid F.F.; Nikesh P.; Raju G.
Source
A related resource from which the described resource is derived
International Journal of Biometrics, Vol-11, No. 2, pp. 148-159.
Publisher
An entity responsible for making the resource available
Inderscience Publishers
Date
A point or period of time associated with an event in the lifecycle of the resource
2019-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1504/IJBM.2019.099033" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJBM.2019.099033</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064545465&doi=10.1504%2FIJBM.2019.099033&partnerID=40&md5=2c15eafcd654f3ef9200af909abe2056" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064545465&doi=10.1504%2fIJBM.2019.099033&partnerID=40&md5=2c15eafcd654f3ef9200af909abe2056</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 17558301
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sugandhi K., Department of Information Technology, Kannur University, Kannur, Kerala, 670567, India; Wahid F.F., Department of Information Technology, Kannur University, Kannur, Kerala, 670567, India; Nikesh P., School of Computer Sciences, Mahatma Gandhi University, Kottayam, Kerala, 686560, India; Raju G., Department of Computer Science and Engineering, Faculty of Engineering, Christ University (Deemed to be University), Bengaluru, Karnataka, 560074, India
-
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
Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Kumar, Binod; Ghosh, Oindrilla
Title
A name given to the resource
An overview of AI applications in wildlife conservation
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
AI and Machine Learning Techniques for Wildlife Conservation;pp.19-48
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/979-8-3693-6935-7.ch002" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-6935-7.ch002</a> <br /><br /><a href="https://www.scopus.com/pages/publications/86000090799?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000090799?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Kumar B., Radha Govind University, India; Ghosh O., Christ University, Bangalore, India
Description
An account of the resource
The integration of artificial intelligence (AI) into wildlife conservation has revolutionized methodologies for monitoring species, enhancing habitat management, and combating poaching. This chapter examines various AI applications that contribute to the protection and preservation of biodiversity. Remote sensing technologies, powered by machine learning algorithms, assist in assessing habitat health and tracking changes over time. AI- driven image recognition tools enable the identification of individual animals from camera trap photos, facilitating more accurate population estimates and behavioral studies. Moreover, predictive analytics play a crucial role in forecasting human- wildlife conflicts and informing proactive management strategies. This synthesis of AI technologies demonstrates their potential to enhance conservation efforts, optimize resource allocation, and ultimately foster more effective wildlife protection initiatives. The ongoing advancement of AI in this field promises to create innovative solutions to some of the most pressing challenges. 2025, IGI Global Scientific Publishing. All rights reserved.
Publisher
An entity responsible for making the resource available
IGI Global
Relation
A related resource
ISBN: 979-836936937-1; 979-836936935-7;
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
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
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
An Overview of Augmenting AI Application in Healthcare
Subject
The topic of the resource
Artificial intelligence; COVID-19; Ethics; Healthcare; Neural networks
Description
An account of the resource
Artificial intelligence (AI) is showing a paradigm shift in all spheres of the world by mimicking human cognitive behavior. The application of AI in healthcare is noteworthy because of availability of voluminous data and mushrooming analytics techniques. The various applications of AI, especially, machine learning and neural networks are used across different areas in the healthcare industry. Healthcare disruptors are leveraging this opportunity and are innovating in various fields such as drug discovery, robotic surgery, medical imaging, and the like. The authors have discussed the application of AI techniques in a few areas like diagnosis, prediction, personal care, and surgeries. Usage of AI is noteworthy in this COVID-19 pandemic situation too where it assists physicians in resource allocation, predicting death rate, patient tracing, and life expectancy of patients. The other side of the coin is the ethical issues faced while using this technology like data transparency, bias, security, and privacy of data becomes unanswered. This can be handled better if strict policy measures are imposed for safe handling of data and educating the public about how treatment can be improved by using this technology which will tend to build trust factor in near future. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
An entity primarily responsible for making the resource
Chellasamy A.; Nagarathinam A.
Source
A related resource from which the described resource is derived
Lecture Notes on Data Engineering and Communications Technologies, Vol-117, pp. 397-407.
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-981-19-0898-9_31" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-0898-9_31</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130881004&doi=10.1007%2F978-981-19-0898-9_31&partnerID=40&md5=9cb56dab9c975680988f290aad889814" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130881004&doi=10.1007%2f978-981-19-0898-9_31&partnerID=40&md5=9cb56dab9c975680988f290aad889814</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 23674512
Format
The file format, physical medium, or dimensions of the resource
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
Chellasamy A., School of Business and Management, CHRIST University, Bangalore, India; Nagarathinam A., School of Business and Management, CHRIST University, Bangalore, India
-
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
Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Ghosh, Oindrilla; Kumar, Binod
Title
A name given to the resource
An overview of maritime research, its significance, challenges, and opportunities: Navigating the future
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Research Methods for Advancing the Maritime Industry;pp.71-93
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/979-8-3373-1052-7.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1052-7.ch003</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105007128283?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007128283?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Ghosh O., Christ University, India; Kumar B., Radha Govind University, India
Description
An account of the resource
Maritime research is an essential field that addresses the complex interactions between human activities and marine environments. As global trade continues to expand, the significance of understanding maritime systems cannot be understated. Research in this domain encompasses various areas, including marine ecology, maritime logistics, and oceanography, aiming to promote sustainable practices and technological advancements. Climate change is altering oceanic conditions, resulting in shifts in biodiversity and marine resources, which poses significant threats to ecosystems and coastal communities. Emerging technologies, such as artificial intelligence and autonomous vessels, can enhance operational efficiency and safety in marine transport. As we navigate the future of maritime research, it is crucial to engage stakeholders from various sectors to create a synergy that addresses the pressing issues facing our oceans, while simultaneously unlocking their vast potential for future generations. 2025, IGI Global Scientific Publishing.
Publisher
An entity responsible for making the resource available
IGI Global
Relation
A related resource
ISBN: 979-833731054-1; 979-833731052-7;
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
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
Faculty Publications
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/.
Creator
An entity primarily responsible for making the resource
Roy, Ron V.; Beulah, M.
Title
A name given to the resource
An Overview of Material Waste Management in Construction Projects
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Lecture Notes in Civil Engineering;Volume;738 LNCE;pp.63-74
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-981-95-1495-3_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-1495-3_6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021801920?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021801920?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Roy R.V., Christ University, Bangalore, India; Beulah M., Christ University, Bangalore, India
Description
An account of the resource
Wastage of construction materials has long been a persistent issue within construction projects. The improper planning and management of construction materials during the performance of construction activities is a critical issue that negatively impacts the performance of construction projects. Encouraging sustainable waste management involves minimizing waste generation and promoting the reuse, recycling, and recovery of resources. This paper provides a broad overview of construction waste minimization and management, as well as mitigation factors for sustainable construction waste management. It integrates sustainability principles into waste management practices, including the adoption of a waste management hierarchy to advance environmental friendliness within the building industry. Also this delves into the significance of material waste, taking into account its environmental, economic, and social repercussions. It identifies various sources of material waste across the construction lifecycle, shedding light on the factors contributing to waste generation and inefficiencies. It evaluates existing practices and strategies utilized for waste minimization and management, encompassing approaches like reuse, recycling, and disposal. It emphasizes the crucial need to tackle material waste in construction projects to foster sustainability and optimize resource utilization in the built environment. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
The topic of the resource
3R; Construction material; Environment; Sustainability; Waste management; Waste minimization; wastes
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 23662557; ISBN: 978-981951494-6;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library