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Applied Data Science and Smart Systems.

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Format:
Book
Author/Creator:
Singh, Jaiteg, author.
Contributor:
Goyal, S. B.
Kumar Kaushal, Rajesh.
Kumar, Naveen.
Singh Sehra, Sukhjit.
Language:
English
Subjects (All):
Artificial intelligence--Congresses.
Artificial intelligence.
Software engineering.
Automation.
Physical Description:
1 online resource (632 pages)
Edition:
1st ed.
Place of Publication:
Milton : Taylor & Francis Group, 2024.
Summary:
The Second International Conference on Applied Data Science and Smart Systems (ADSSS-2023) was held on 15-16 December 2023 at Chitkara University, Punjab, India.
Contents:
Cover
Title Page
Copyright Page
Table of Contents
List of Figures
List of Tables
Preface
Editors
Chapter 1 AI-driven global talent prediction: Anticipating international graduate admissions
Chapter 2 English accent detection using hidden Markov model (HMM)
Chapter 3 Study of exascale computing: Advancements, challenges, and future directions
Chapter 4 Production of electricity from urine
Chapter 5 Deep learning-based finger vein recognition and security: A review
Chapter 6 Development of an analytical model of drain current for junctionless GAA MOSFET including source/drain resistance
Chapter 7 Crop recommendation using machine learning
Chapter 8 Environment and sustainability development: A ChatGPT perspective
Chapter 9 GAI in healthcare system: Transforming research in medicine and care for patients
Chapter 10 Fuzzy L-R analysis of queue network with priority
Chapter 11 Blood bank mobile application of IoT-based android studio for COVID-19
Chapter 12 Selection of effective parameters for optimizing software testing effort estimation
Chapter 13 Automated detection of conjunctivitis using convolutional neural network
Chapter 14 An overview of wireless sensor networks applications, challenges and security attacks
Chapter 15 Internet of health things-enabled monitoring of vital signs in hospitals of the future
Chapter 16 Artificial intelligence-based learning techniques for accurate prediction and classification of colorectal cancer
Chapter 17 SLODS: Real-time smart lane detection and object detection system
Chapter 18 Computational task off-loading using deep Q-learning in mobile edge computing
Chapter 19 A comprehensive analysis of driver drowsiness detection techniques.
Chapter 20 Issues with existing solutions for grievance redressal systems and mitigation approach using blockchain network
Chapter 21 A systematic approach to implement hyperledger fabric for remote patient monitoring
Chapter 22 Developing spell check and transliteration tools for Indian regional language - Kannada
Chapter 23 Real-time identification of traffic actors using YOLOv7
Chapter 24 Revolutionizing cybersecurity: An in-depth analysis of DNA encryption algorithms in blockchain systems
Chapter 25 Exploring recession indicators: Analyzing social network platforms and newspapers textual datasets
Chapter 26 NIRF rankings' effects on private engineering colleges for improving India's educational system looked at using computational approaches
Chapter 27 Analysis of soil moisture using Raspberry Pi based on IoT
Chapter 28 Drowsiness detection in drivers: A machine learning approach using hough circle classification algorithm for eye retina images
Chapter 29 Optimizing congestion collision using effective rate control with data aggregation algorithm in wireless sensor network
Chapter 30 DDoS attack detection methods, challenges and opportunities: A survey
Chapter 31 A review of privacy-preserving machine learning algorithms and systems
Chapter 32 Optimization techniques for wireless body area network routing protocols: Analysis and comparison
Chapter 33 Securing the boundless network: A comprehensive analysis of threats and exploits in software defined network
Chapter 34 A bibliometric analyses on emerging trends in communication disorder
Chapter 35 Enhancing latency performance in fog computing through intelligent resource allocation and Cuckoo search optimization
Chapter 36 Pediatric thyroid ultrasound image classification using deep learning: A review.
Chapter 37 Hybrid security of EMI using edge-based steganography and three-layered cryptography
Chapter 38 Efficient lung cancer detection in CT scans through GLCM analysis and hybrid classification
Chapter 39 Newton Raphson method for root convergence of higher degree polynomials using big number libraries
Chapter 40 The influence of compact modalities on complexity theory
Chapter 41 Designing a hyperledger fabric-based workflow management system: A prototype solution to enhance organizational efficiency
Chapter 42 Exploring Image Segmentation Approaches for Medical Image Analysis
Chapter 43 Design and performance analysis of electric shock absorbers
Chapter 44 Integrating metaverse and blockchain for transparent and secure logistics management
Chapter 45 A systematic study of multiple cardiac diseases by using algorithms of machine learning
Chapter 46 Forecasting mobile prices: Harnessing the power of machine learning algorithms
Chapter 47 Deep learning-based chronic kidney disease (CKD) prediction
Chapter 48 Cattle identification using muzzle images
Chapter 49 Simulation-based evaluating AODV routing protocol using wireless networks
Chapter 50 Smart agriculture using machine learning algorithms
Chapter 51 Cloud computing empowering e-commerce innovation
Chapter 52 Navigating blockchain-based clinical data sharing: An interoperability review
Chapter 53 Analysis of data backup and recovery strategies in the cloud
Chapter 54 Landslide identification using convolutional neural network
Chapter 55 Retinal vessel segmentation using morphological operations
Chapter 56 Liver segmentation using shape prior features with Chan-Vese model
Chapter 57 Online video conference analytics: A systematic review.
Chapter 58 Sales analysis: Coca-Cola sales analysis using data mining techniques for predictions and efficient growth in sales
Chapter 59 Statistical analysis of consumer attitudes towards virtual influencers in the metaverse
Chapter 60 Quantum dynamics-aided learning for secure integration of body area networks within the metaverse cybersecurity framework
Chapter 61 An optimized approach for development of location-aware-based energy-efficient routing for FANETs
Chapter 62 Quantum cloud computing: Integrating quantum algorithms for enhanced scalability and performance in cloud architectures
Chapter 63 Integrating AI-enabled post-quantum models in quantum cyber-physical systems opportunities and challenges
Chapter 64 Adaptive resource allocation and optimization in cloud environments: Leveraging machine learning for efficient computing
Chapter 65 Quantum deep learning on driven trust-based routing framework for IoT in the metaverse context
Chapter 66 Advancing network security paradigms integrating quantum computing models for enhanced protections
Chapter 67 Optimizing 5G and beyond networks: A comprehensive study of fog, grid, soft, and scalable computing models
Chapter 68 Smart protocol design: Integrating quantum computing models for enhanced efficiency and security
Chapter 69 Efficient IIoT framework for mitigating Ethereum attacks in industrial applications using supervised learning with quantum classifiers
Chapter 70 Quantum computing in the era of IoT: Revolutionizing data processing and security in connected devices
Chapter 71 A federated learning approach to classify depression using audio dataset
Chapter 72 Securing IOT CCTV: Advanced video encryption algorithm for enhanced data protection.
Chapter 73 A comprehensive review of federated learning: Methods, applications, and challenges in privacy-preserving collaborative model training
Chapter 74 Review of techniques for diagnosis of Meibomian gland dysfunction using IR images
Chapter 75 The impact of unstable symmetries on software engineering
Chapter 76 Integrating quantum computing models for enhanced efficiency in 5G networking systems
Chapter 77 Micro-expressions spotting: Unveiling hidden emotions and thoughts
Chapter 78 Artificial intelligence and machine vision-based assessment of rice seed quality.
Notes:
CC BY-NC-ND
Description based on publisher supplied metadata and other sources.
ISBN:
9781003471059
1003471056
9781040017234
1040017231
OCLC:
1441727877

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