Applied Data Science and Smart Systems

• Autore: Singh Jaiteg
• Pubblicazione: Milton : , : Taylor & Francis Group, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (632 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Software engineering; Automation
• Altri autori: GoyalS. B Kumar KaushalRajesh KumarNaveen Singh SehraSukhjit
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Applied Data Science and Smart Systems
• ISBN: 9781003471059; 1003471056; 9781040017234; 1040017231
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910870872903321
• Lo trovi qui: Univ. Federico II