Confluence of artificial intelligence and robotic process automation / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, and Debashis De |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (417 pages) |
Disciplina | 006.3 |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico | Artificial intelligence - Industrial applications |
ISBN | 981-19-8296-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Intelligent Automation Framework using AI and RPA: An Introduction -- Chapter 2. Role of RPA in Intelligent Auditing -- Chapter 3. Impact of AI and RPA in Banking -- Chapter 4. Robotic Process Automation: The key to Reviving the Supply Chain Processes -- Chapter 5. Intelligent Document Processing in end-to-end RPA contexts: a systematic literature review -- Chapter 6. Challenges in Banking and Solving them using RPA -- Chapter 7. Robotic Process Automation in Healthcare -- Chapter 8. Intellectual Property Management in Healthcare Using Robotic Process Automation during Covid-19 -- Chapter 9. RPA Revolution in the Healthcare Industry during COVID-19 -- Chapter 10. Importance of Artificial Intelligence (AI) and Robotic process automation (RPA) in the Banking Industry: A study from an Indian perspective -- Chapter 11. Integration of RPA and AI in Industry 4.0 -- Chapter 12. A Comprehensive Review on Artificial Intelligence (AI) and Robotic Process Automation (RPA) for the development of Smart Cities -- Chapter 13. The Existing IT Functions and Robotics Process Automation -- Chapter 14. RPA Adoption in Healthcare Application -- Chapter 15. Cognitive IoT meets Robotic Process Automation: The Unique Convergence revolutionizing Digital Transformation in the Industry 4.0 era -- Chapter 16. Confluence of Artificial Intelligence and Robotic Process Automation: Concluding Remarks. . |
Record Nr. | UNINA-9910682590403321 |
Singapore : , : Springer, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Human-Centric Smart Computing : Proceedings of ICHCSC 2023 / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Mario Köppen |
Autore | Bhattacharyya Siddhartha |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (703 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
BanerjeeJyoti Sekhar
KöppenMario |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico |
Computational intelligence
User interfaces (Computer systems) Human-computer interaction Artificial intelligence - Data processing Computer networks - Security measures Computational Intelligence User Interfaces and Human Computer Interaction Data Science Mobile and Network Security |
ISBN | 981-9977-11-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Registration of CT Images of Lung Using Fireworks Algorithm -- Exploring Microinteractions in Human–Computer Interaction: Design Principles, Types, and User Experience -- Opinion Mining-Based Predictive Model Based on Social Media Responses -- Quantifying the Impact and Growth of Smart Innovation, Systems and Technology: A Bibliometric Approach Mapping the Research Landscape Over 12 Years -- Decomposition into Multi-Objective Fronts: A Pivot-Based Deterministic Non-dominated Sorting Approach -- Currency Recognition App for Blind People. |
Record Nr. | UNINA-9910838282203321 |
Bhattacharyya Siddhartha | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Human-Centric Smart Computing : Proceedings of ICHCSC 2022 / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Mario Köppen |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (393 pages) |
Disciplina | 006.3 |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico |
Computational intelligence
User interfaces (Computer systems) Human-computer interaction Artificial intelligence—Data processing Data mining Computational Intelligence User Interfaces and Human Computer Interaction Data Science Data Mining and Knowledge Discovery |
ISBN | 981-19-5403-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Breast MRI Registration Using Gorilla Troops Optimization -- Forward and Backward Key Secrecy Pre-servation Scheme for Medical Internet of Things -- Systematic Study of Detection Mechanism for Network Intrusion in Cloud, Fog & Internet-of-Things using Deep Learning -- Workload Prediction of Virtual Machines Using Integrated Deep Learning Approaches over Cloud Data Centers -- Performance Analysis of Reversible Full Adders in Noisy Intermediate Scale Quantum (NISQ) Devices -- Automatic Gas Leakage Detection, Control and Emergency Notification System -- Mining Frequent Patterns from Temporal Dataset Using Backtracking Search Tree of GenMax Algorithm -- A Brief Review on the Role of Blockchain in Supply Chain Management -- Biometric Assisted Multi-Modal Encryption Key for Secured FHSS Communication -- Classification of Swarm Collective Motion Using Machine Learning -- An axiomatic analysis for object detection and recognition using deep learning -- Search Engine Optimization for Digital Marketing to Raise the Rank, Traffic and Usability of the Website -- Applicability of Search Engine Optimization for WP (WordPress) website -- Post Covid Corona Virus Anxiety Among University Students in Odisha India -- Solar Driven Water Desalination Technology-A Case Study -- Optimal Path Planning with Smart Energy Management Techniques using Dijkstra’s Algorithm -- Disguise Face classification Using EfficientNet Deep learning -- Classification of Denial-of-Service Attacks in IoT Networks Using AlexNet -- MultiStrategy Algorithmic Trader Proposed System -- Gait Feature Processing for Automated Human Gender Recognition. |
Record Nr. | UNINA-9910633919603321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligent Human Centered Computing : Proceedings of HUMAN 2023 / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Debashis De, Mufti Mahmud |
Autore | Bhattacharyya Siddhartha |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (429 pages) |
Disciplina | 004.019 |
Altri autori (Persone) |
BanerjeeJyoti Sekhar
DeDebashis MahmudMufti |
Collana | Springer Tracts in Human-Centered Computing |
Soggetto topico |
Computational intelligence
Application software Machine learning Computational Intelligence Computer and Information Systems Applications Machine Learning |
ISBN | 981-9934-78-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | An Intelligent Approach for Brain Tumor Classification using different CNN Variants -- Effective Estimation of Relationship Strength among Facebook Users Applying Pearson Correlation and Jaccard’s Coefficient -- Taxonomy of music genre using machine intelligence from feature melting technique -- Optimization of intraday trading in F&O on the NSE utilizing BOLLINGER BANDS -- Identification of mental state through speech using a deep learning approach -- Intellectual Property in Human Genomics in India -- Performance of Automated Machine Learning with Neural Network Estimators for the Classification of PCOS -- Job Recommendation a Hybrid Approach Using Text Processing -- A study to investigate the existence of monolexemic colour terms in Dravidian languages: A visual psychophysics approach -- Deep Artificial Neural Network based Blind Color Image Watermarking -- IoT Based Automatic Temperature Screening & Alert System for Symptomatic COVID-19 Detection -- Boosting machine learning algorithm to classify road conditions for maintenance strategy of flexible pavements -- Hyper parameterized LSTM models for predicting NSE intraday bias based on global market trends -- Malicious URL Classification using Machine Learning -- Prognostic stage classification for invasive breast cancer by analysing affected lymph node -- Survey of Task Scheduling algorithms for Minimizing Energy in a Cloud Computing Environment -- Human Stress Detection from SWCT EEG Data Using Optimised Stacked Deep Learning Model -- Impact of Carbon emission policies on an imperfect EOQ model under cloud fuzzy environment -- Rule-based investigation on positive change in air quality at Kolkata during lockdown period due to covid-19 pandemic -- Performance Analysis of Professional Higher Education Programmes Driven by Students Perception: A Latent Variable Computation Model for Industry 5.0 -- Graph Based Zero Shot Adverse Drug Reaction Detection From Social Media Reviews Using GPT-Neo -- Digital Twin for Industry 5.0: Concept, Methodologies, and Applications -- Application of Machine Learning Technology for Screening of Mental Health Disorder -- Novel Machine Learning Techniques for Diabetes Prediction -- Analysis of BLER and throughput during the coexistence of two 5G NR -- An Assessment of Forest Fire Dataset using Soft Computing Technique -- Predicting the data science employability rate using data mining techniques -- Classification of Online Fake News Using N-Gram Approach and Machine Learning Techniques -- An Edge Assisted Robust Smart Traffic Management and Signalling System for Guiding Emergency Vehicles During Peak Hours -- Patent Analysis on Artificial Intelligence in Food Industry: Worldwide Present Scenario -- Research of the influence of the fuzzy rules number on the learning of a neuro-fuzzy system -- Optimization of Traffic Flow Based on Periodic Fuzzy Graphs -- ChatGPT: A OpenAI Platform for Society 5.0. |
Record Nr. | UNINA-9910731466003321 |
Bhattacharyya Siddhartha | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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