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Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach / / edited by Soumi Dutta, Álvaro Rocha, Pushan Kumar Dutta, Pronaya Bhattacharya, Ramanjeet Singh
| Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach / / edited by Soumi Dutta, Álvaro Rocha, Pushan Kumar Dutta, Pronaya Bhattacharya, Ramanjeet Singh |
| Autore | Dutta Soumi |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (434 pages) |
| Disciplina | 620.00285 |
| Altri autori (Persone) |
RochaÁlvaro
DuttaPushan Kumar BhattacharyaPronaya SinghRamanjeet |
| Collana | Information Systems Engineering and Management |
| Soggetto topico |
Engineering - Data processing
Computational intelligence Marketing Data Engineering Computational Intelligence |
| ISBN | 3-031-65727-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 1: Introduction to Influencer Marketing and Data Analytics. -- 2: The Evolution of Influencer Marketing. -- 3: From Word-of-Mouth to AI-Powered Engagement: The Dynamic Evolution of Influencer Marketing in the Digital Era. -- 4: Revolutionizing Influencer Marketing: Harnessing the Power of Data Analytics and Artificial Intelligence (AI). -- 5: Influencer Marketing Unleashed: Leveraging Data Analytics for Success. -- 6: Data analytics and AI for influencer marketing. -- 7: Interdisciplinary Data Analytics Transforming Influencer Marketing Strategies. -- 8: Influencer Marketing Evolution: Unveiling the Power of Data Analytics and AI for Strategic Campaign Ex-cellence. -- 9: Sustainability and Influencer Marketing: Measuring the Gap between Consumer Attitudes and Purchase Behavior. -- 10: An Audience Threshold in the Millions: Exploring Influencer Marketing Activations Online. -- 11: Metaverse: A New Frontier for Influencer Marketing. -- 12: Influencer Marketing on New Platforms and the Metaverse for Male Grooming Brands. -- 13: Impact of Influencer Marketing through Instagram among Youth: A Study. -- 14: E-commerce Platforms Extend Beyond Sell-ing... A Case Study on India. -- 15: Analyzing the Effectiveness of Influencer Campaigns in Driving Customer Acquisition and Retention: Perspectives from Unilever Pakistan. -- 16: Analysing the impact of hosting influencer giveaways on purchase intention of luxury items by Generation Z. -- 17: Innovative Fusion: Attention-Augmented Support Vector Machines for Superior Text Classification for Social Marketing. -- 18: Fuzzy Artificial Intelligence as a Technique to Find Relative Desirability for Fake Review Detection. -- 19: A Study on the Influence of Artificial Intelligence on Brain Plasticity with Reference to Consumer Behaviour and Workplace Dynamics. -- 20: Influential Asanas: An In-depth Study Exploring the Dynamics of Yoga Influencers. -- 21: Online User Choices Data Analytics and Privacy in Digital Marketing: Legal-Ethical Landscapes in the Digital- Futuristic Arena Projecting Multiple Layers of Artificial Intelligence and Blockchain. -- 22: The pinnacle of influence: unveiling the evolution, global dynamics, and multidisciplinary tapestry of social media influencer marketing (2016-2024). |
| Record Nr. | UNINA-9910882896203321 |
Dutta Soumi
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence in Oncology : Cancer Diagnosis and Treatment, Medical Imaging, and Personalized Medicine / / edited by Sachi Nandan Mohanty, Álvaro Rocha, Pushan Kumar Dutta
| Artificial Intelligence in Oncology : Cancer Diagnosis and Treatment, Medical Imaging, and Personalized Medicine / / edited by Sachi Nandan Mohanty, Álvaro Rocha, Pushan Kumar Dutta |
| Autore | Mohanty Sachi Nandan |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (901 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RochaÁlvaro
DuttaPushan Kumar |
| Collana | Medicine Series |
| Soggetto topico |
Artificial intelligence
Medical informatics Bioinformatics User interfaces (Computer systems) Human-computer interaction Medical radiology Oncology Artificial Intelligence Health Informatics User Interfaces and Human Computer Interaction Radiation Oncology |
| ISBN | 3-031-94302-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: AI in Cancer Prediction and Diagnosis -- Chapter 1 Seer Breast Cancer Prediction and Analysis using a Machine Learning Approach -- Chapter 2 Automated MRI-Based Brain Tumor Classification with CNN Models -- Chapter 3 Personalized Transfer Learning-Based CNN for High-Precision Oral Cancer Classification -- Chapter 4 CloudMedX: Cloud-Based Glioma Detection using Deep Learning -- Chapter 5 Multi-Class Brain Tumor Detection via DieT Transformer and Advanced Feature Selection -- Chapter 6 An investigation of AI-assisted strategies for accurate detection of Oral Cancer in Assam -- Part II: Machine Learning and Deep Learning in Oncology -- Chapter 7 Machine Learning-Based Recommender System for Cancer Patients -- Chapter 8 Deep Learning Techniques to Detect Brain Tumors Using EfficientNet-B0 CNN Architecture -- Chapter 9 Optimized Deep Learning Framework for Lung Cancer Detection in Computed Tomography Scans -- Chapter 10 Hybrid Deep Learning Architectures for Brain Tumor Classification Using Magnetic Resonance Imaging: ViT-GRU and GNet-SVM Models -- Chapter 11 A Combination of CNN and Fuzzy Transform Framework for Accurate Brain Tumor Detection -- Chapter 12 CorPML: A ML-based hybrid model for effective Cancer diagnosis using CFS and PSO feature selection -- Chapter 13 Comparative Analysis of Machine Learning Algorithms for Lung and Colon Cancer Classification Using Deep Feature Extraction -- Chapter 14 A Machine Learning and Deep Learning Approach to Cancer Prediction -- Chapter 15 Enhanced Lung Cancer Classification Using SMOTE and Soft Voting Ensemble of Decision Tree, XGBoost, and Logistic Regression -- Chapter 16 A Comprehensive Analysis of Lung Cancer Prediction Using Machine Learning Models -- Chapter 17 Breast Cancer Prediction based on SMOTE and Ensemble Classifier -- Part III: AI-Driven Medical Imaging and Diagnostic Approaches.-Chapter 18 Novel Method for Assessing the Effectiveness of the Deep Learning-Based Unet Model in Forecasting Brain Tumors Using MRI Scans -- Chapter 19 Binary Algorithm in AI for Early Skin Cancer Identification with 3D-TBP -- Chapter 20 Mammograms Classification Using Deep Neural Networks in Breast Cancer Detection -- Chapter 21 Thermal and Mammographic Image Fusion for Breast Cancer Detection: A Self-Supervised Bi-Pipeline Approach -- Chapter 22 ResNet-152 for Brain Tumor Detection: A Deep Learning Approach for Medical Image Analysis -- Chapter 23 Computational Diagnosis application of Cervical Cancer using Deep Learning Application -- Chapter 24 The Impact of Preprocessing Techniques on Automated Skin Cancer Detection Systems -- Chapter 25 Performance Analysis of Intelligent models for Breast cancer classification -- Part IV: AI in Cancer Treatment and Personalized Medicine -- Chapter 26 AI-Driven Advancements in Oncology: Harnessing Pharmacogenomics for Precision Cancer Treatment and Optimized Therapeutic Outcomes -- Chapter 27 Integrating Deep Learning in Prostate Cancer Grading: Innovations in Computational Pathology -- Chapter 28 AI-Driven Radiotherapy Solutions for Rare and Complex Cancers Using Multi-Omics Approaches -- Chapter 29 Artificial Intelligence Future in Oncology for Breast Cancer: Risk Prediction and Monitoring -- Part V: AI in Public Health and Oncology Nursing -- Chapter 30 AI in Public Health -- Chapter 31 The Impact of Artificial Intelligence on Oncology Nursing: Enhancing Patient Care, Symptom Management, and Decision Support -- Chapter 32 Empowering Oncology Healthcare Professionals: Evaluating the Effect of AI-Driven Training Modules on Awareness, Knowledge, Clinical Competence, and Patient Care in Cancer Management -- Chapter 33 Revolutionizing Oncology Education: The Impact of AI-Driven Tools on Patient Knowledge, Adherence, and Satisfaction -- Chapter 34 Harnessing Artificial Intelligence in Oncology Palliative Care: Current Status, Challenges, and Recommendations with Reference to India -- Chapter 35 The Transformative Role of AI in Public Health for Cancer Prevention, Early Detection, and Management -- Part VI: AI and Predictive Analytics in Cancer Research -- Chapter 36 Health Care Professionals’ Opinions on the Role of Artificial Intelligence (AI) in Preventing Cancer -- Chapter 37 Transforming Oncology Care: The Role of Artificial Intelligence in Improving Diagnostic Accuracy and Treatment Decisions -- Chapter 38 Artificial Intelligence in Oncology: Comparative Analysis and Insights into Diagnostics, Treatment, Challenges, and Future Prospects -- Chapter 39 Utilizing Artificial Intelligence to Revolutionize Cancer Screening Through the Application of Predictive Analytics in Public Health -- Chapter 40 Translating Hybrid ANN-ARIMA Diagnostic Models for Early Detection of Oncological Biomarkers -- Chapter 41 Correlating the Hallmarks of Cancer: A Study Using Conditional Dependency Networks -- Chapter 42 Oncology in the AI Era: Transforming Cancer Care Through Intelligent Diagnosis and Treatment -- Chapter 43 Identifying Key Survival AI based Predictors in Breast Cancer for Indian Women: A Retrospective Cohort Analysis -- Chapter 44 Artificial Intelligence in Cancer Management: Bridging Gaps in Global Healthcare Systems -- Chapter 45 Insights into Women's Sentiments on Breast Cancer Detection, Causes, and Treatments: A Comprehensive Analysis -- Chapter 46 A Comprehensive Study of Artificial Intelligence in Oncology -- Chapter 47 Potential Use of Artificial Intelligence in Diagnosing Acute Myeloid Leukaemia: A Haematological Disorder -- Chapter 48 ANN-Based Binary Classification for Breast Cancer: A Comparative Study with Machine Learning Models. |
| Record Nr. | UNINA-9911031661103321 |
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Mohanty Sachi Nandan
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Building Embodied AI Systems: The Agents, the Architecture Principles, Challenges, and Application Domains / / edited by Pethuru Raj, Alvaro Rocha, Simar Preet Singh, Pushan Kumar Dutta, B. Sundaravadivazhagan
| Building Embodied AI Systems: The Agents, the Architecture Principles, Challenges, and Application Domains / / edited by Pethuru Raj, Alvaro Rocha, Simar Preet Singh, Pushan Kumar Dutta, B. Sundaravadivazhagan |
| Autore | Raj Pethuru |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (526 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RochaAlvaro
SinghSimar Preet DuttaPushan Kumar SundaravadivazhaganB |
| Collana | Information Systems Engineering and Management |
| Soggetto topico |
Automatic control
Robotics Automation Computational intelligence Artificial intelligence Control, Robotics, Automation Computational Intelligence Artificial Intelligence |
| ISBN |
9783031682568
9783031682551 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Building Embodied AI Systems: The Agents, the Architectural Principles, Challenges and Application Domains -- Chapter 2. Demystifying Embodied AI -- Chapter 3. Navigating the Nexus: Unravelling Challenges, Ethics, and Applications of Embodied AI in Drone Technology through the Lens of Computer Vision -- Chapter 4. Artificial Intelligence Algorithm Models For Agents Of Embodiment For Drone Applications -- Chapter 5. Artificial intelligence algorithms and models for embodied agents: enhancing autonomy in drones and robots -- Chapter 6. Enhanced Security and Privacy from Industry 4.0 and 5.0 Vision -- Chapter 7. Exploring applications: intelligent drones and robots in industrial settings -- Chapter 8. The Industrial Revolution: Harnessing Embodied AI Systems -- Chapter 9. Synergistic Fusion: Vision-Language Models in Advancing Autonomous Driving and Intelligent Transportation Systems -- Chapter 10. Health Care Industry Use Cases of Embodied AI -- Chapter 11. Computing, clouds, analytics and artificial intelligence at the edge.-...Etc. |
| Record Nr. | UNINA-9910951802703321 |
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Raj Pethuru
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Illustrating Digital Innovations Towards Intelligent Fashion : Leveraging Information System Engineering and Digital Twins for Efficient Design of Next-Generation Fashion / / edited by Pethuru Raj, Alvaro Rocha, Pushan Kumar Dutta, Michele Fiorini, C. Prakash
| Illustrating Digital Innovations Towards Intelligent Fashion : Leveraging Information System Engineering and Digital Twins for Efficient Design of Next-Generation Fashion / / edited by Pethuru Raj, Alvaro Rocha, Pushan Kumar Dutta, Michele Fiorini, C. Prakash |
| Autore | Raj Pethuru |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (615 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RochaAlvaro
DuttaPushan Kumar FioriniMichele PrakashC |
| Collana | Information Systems Engineering and Management |
| Soggetto topico |
Computational intelligence
Engineering mathematics Engineering - Data processing Application software Industries Computational Intelligence Mathematical and Computational Engineering Applications Computer and Information Systems Applications |
| ISBN |
9783031710520
9783031710513 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Integrating Digital Twins and 3D Technologies in Fashion: Advancing Sustainability and Consumer Engagement -- Shaping Fashion Industry Assimilating Digital Twins: Ground Breaking Approach of Sketch to Sale for Transforming the Fashion Design Process for Sustainability -- Exploring the Intersection of Computer Vision and Fashion Industry -- Shaping the Future: Navigating New Horizons in Supply Chain Management -- Optimizing the Fashion Supply Chain: A Game-Changing Strategy for Reducing Inventory Waste -- The Role of Blockchain Technology for Transparency in The Fashion Supply Chain -- Responsible Management of the Fashion Supply Chain with an Eye Towards Sustainability -- Role of Product Lifecycle Management and Bill of Material in Fashion Industry -- Building a case for Sustainable consumerism in the Fashion Industry -- Unlocking Ergonomic Codes: Adapting Sizing Systems to Fit the Modern World's Diversity and Health Needs -- 3D – as-a-Service : A Revolutionary Approach by LFX -- Exploration of Fashion industry protection as need of hour on Intellectual Property -- AI Landscape in Fashion: Insights on Transforming Design, Supply Chains, Marketing, and Consumer Experiences -- Integrating Digital Innovation and Biomimicry in Fast Fashion: A Synergistic Approach for Sustainable Design and Waste Minimization -- Ethical Issues in Sustainable Fashion Industry -- The Changing Perspectives of the Fashion Industry in the wake of Anthropocene -- Tailoring the future – the ascendancy of Artificial Intelligence in the fashion industry -- Fashion Artistry Unleashed by Artificial Intelligence (AI) Ingenuity: The Alchemy of Design -- Fashion Industry and Intelligent Fashion in Emerging Economies: A Case Study from India -- Garment Industry 5.0: Transforming Through Digital Integration of 3D Virtual Measurement Data and Characteristics -- Digital Infrastructure Assessment (DIA) and Digital Asset Management (DAM): Tools for Decomposition and Efficient Communication in the Fashion Industry. |
| Record Nr. | UNINA-9910908365803321 |
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Raj Pethuru
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Revolutionizing Healthcare 5.0: The Power of Generative AI : Advancements in Patient Care Through Generative AI Algorithms / / edited by Pronaya Bhattacharya, Haipeng Liu, Pushan Kumar Dutta, Joel J. P. C. Rodrigues, Gautam Sethi
| Revolutionizing Healthcare 5.0: The Power of Generative AI : Advancements in Patient Care Through Generative AI Algorithms / / edited by Pronaya Bhattacharya, Haipeng Liu, Pushan Kumar Dutta, Joel J. P. C. Rodrigues, Gautam Sethi |
| Autore | Bhattacharya Pronaya |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (544 pages) |
| Disciplina | 610.28 |
| Altri autori (Persone) |
LiuHaipeng
DuttaPushan Kumar RodriguesJoel J. P. C SethiGautam |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Biomedical engineering
Computational intelligence Artificial intelligence Medical and Health Technologies Computational Intelligence Artificial Intelligence |
| ISBN |
9783031757716
3031757718 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The emerging healthcare landscape -- AI for Healthcare 5.0: A shift towards personalized healthcare -- Transition to Generative AI in Healthcare 5.0 -- Drug Synthesis through Generative AI Models -- Generative AI for Data Augmentation in Clinical Trials -- Generative AI models for Personalized Healthcare -- Generative Deep Models for Medical Imaging -- Generative AI-driven fitness and real-time healthcare monitoring and control -- The future of Surgery and Anatomical Operations via Generative AI -- Generative models for AR/VR assisted Healthcare 5.0 -- Accuracy and Reliability of Synthetic Data Generation. |
| Record Nr. | UNINA-9910980481903321 |
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Bhattacharya Pronaya
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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