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Innovation and emerging trends in computing and information technologiesfirst international conference, IETCIT 2024, Mohali, Punjab, India, March 1-2, 2024, proceedings.Part II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Innovation and emerging trends in computing and information technologiesedited by Manisha Malhotra.
其他題名:	first international conference, IETCIT 2024, Mohali, Punjab, India, March 1-2, 2024, proceedings.
其他作者:	Malhotra, Manisha.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xxiii, 310 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learning.
電子資源:	https://doi.org/10.1007/978-3-031-80842-5
ISBN:	9783031808425$q(electronic bk.)

Innovation and emerging trends in computing and information technologiesfirst international conference, IETCIT 2024, Mohali, Punjab, India, March 1-2, 2024, proceedings.Part II /
Innovation and emerging trends in computing and information technologiesfirst international conference, IETCIT 2024, Mohali, Punjab, India, March 1-2, 2024, proceedings.Part II /[electronic resource] :edited by Manisha Malhotra. - Cham :Springer Nature Switzerland :2025. - xxiii, 310 p. :ill., digital ;24 cm. - Communications in computer and information science,21261865-0937 ;. - Communications in computer and information science ;229..

-- Data Science and Data Analytics. -- Generalized Material Flow Model for hot deformation processing based on power law. -- Smallest Path Planning for Robots using Simple ACO and Ant System Algorithms. -- An asymmetric single channel encryption mechanism using unequal modulus and QZS algorithm in fractional Fourier transform. -- Evaluation Criteria for Test Suites in Software Developed Through Test-Driven Development. -- LCB-eGyan Model: A Dynamic Cloud Architecture for e-Content Recommendation. -- Gender and Ethnicity Recognition System Based on Convolutional Neural Networks. -- Radiographic Evaluation for KNEEXNET Using Ensemble Models. -- Comparative Study of Quantum Computing Tools and Frameworks. -- Security Evaluation and Oversight in Stock Trading Using Artificial Intelligence. -- A Dual Approach with Grad-CAM and Layer-wise Relevance Propagation for CNN Models Explainability. -- CLAM - CNN & LSTM with Attention Mechanism for DNS Data Exfiltration Detection. -- Comparison of various data mining techniques for Fake Profile Detection on Twitter. -- Strategies for Gen AI Enterprise Adoption. -- Role of Deep Learning in Skin Cancer Diagnosis: A Deeper Insight. -- Communication, Network and Security. -- Smart Education-Filtering Real Time Stream. -- RNA and Audio-Based Workflows Scheduling by Multi-Objective Optimization in Cloud Environment. -- Group Authentication and Key Management Protocol with Chinese Remainder Theorem in Multicast Communication. -- Network Traffic Analysis for Intrusion with Zero Trust. -- Enhanced Image Deblurring with the Fusion of Generative Adversarial Networks and Transformer Models. -- Analysis of Various Routing Protocols for Air Pollution Monitoring Systems in Wireless Sensor Networks. -- Intelligent toll management using limited CNN-based Vehicle Classification. -- Optimizing Software Demands using Fuzzy-based Evaluation Techniques. -- Enhancing Workflow Efficiency: Innovative Workload Clustering in Cloud Environments.

This book constitutes the proceedings of the First International Conference on Innovation and Emerging Trends in Computing and Information Technologies, IETCIT 2024, held in Mohali, India, in March 1-2, 2024. The 44 full papers presented in these two volumes were carefully reviewed and selected from 417 submissions. The papers are organized in the following topical sections: Part I: machine learning and deep learning; pattern and speech recognition; internet of things (IoT). Part II: data science and data analytics; communication, network and security.

ISBN: 9783031808425$q(electronic bk.)

Standard No.: 10.1007/978-3-031-80842-5doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Innovation and emerging trends in computing and information technologiesfirst international conference, IETCIT 2024, Mohali, Punjab, India, March 1-2, 2024, proceedings.Part II /
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505 0 $a -- Data Science and Data Analytics. -- Generalized Material Flow Model for hot deformation processing based on power law. -- Smallest Path Planning for Robots using Simple ACO and Ant System Algorithms. -- An asymmetric single channel encryption mechanism using unequal modulus and QZS algorithm in fractional Fourier transform. -- Evaluation Criteria for Test Suites in Software Developed Through Test-Driven Development. -- LCB-eGyan Model: A Dynamic Cloud Architecture for e-Content Recommendation. -- Gender and Ethnicity Recognition System Based on Convolutional Neural Networks. -- Radiographic Evaluation for KNEEXNET Using Ensemble Models. -- Comparative Study of Quantum Computing Tools and Frameworks. -- Security Evaluation and Oversight in Stock Trading Using Artificial Intelligence. -- A Dual Approach with Grad-CAM and Layer-wise Relevance Propagation for CNN Models Explainability. -- CLAM - CNN & LSTM with Attention Mechanism for DNS Data Exfiltration Detection. -- Comparison of various data mining techniques for Fake Profile Detection on Twitter. -- Strategies for Gen AI Enterprise Adoption. -- Role of Deep Learning in Skin Cancer Diagnosis: A Deeper Insight. -- Communication, Network and Security. -- Smart Education-Filtering Real Time Stream. -- RNA and Audio-Based Workflows Scheduling by Multi-Objective Optimization in Cloud Environment. -- Group Authentication and Key Management Protocol with Chinese Remainder Theorem in Multicast Communication. -- Network Traffic Analysis for Intrusion with Zero Trust. -- Enhanced Image Deblurring with the Fusion of Generative Adversarial Networks and Transformer Models. -- Analysis of Various Routing Protocols for Air Pollution Monitoring Systems in Wireless Sensor Networks. -- Intelligent toll management using limited CNN-based Vehicle Classification. -- Optimizing Software Demands using Fuzzy-based Evaluation Techniques. -- Enhancing Workflow Efficiency: Innovative Workload Clustering in Cloud Environments.
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