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

Edizione	[1st ed. 2020.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Descrizione fisica	1 online resource (xviii, 714 pages) : illustrations
Disciplina	006.3
Collana	Smart Innovation, Systems and Technologies
Soggetto topico	Computational intelligence Tourism Management Artificial intelligence Big data Business information services Application software Computational Intelligence Tourism Management Artificial Intelligence Big Data Business Information Systems Computer and Information Systems Applications
ISBN	981-15-2024-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Naturalistic analysis of urban tourist-pedestrians’ spatial cognition -- Extracting Feeling from Food Colour -- Social Media Influence: A Comprehensive Review in General and in Tourism Domain -- Using Data Analytics to understand visitors online search interests: the case of Côa Museum -- Cultural and Creative Tourism: using Google Arts & Culture platform to promote a small city in the North of Portugal -- Smart experiences in tourism -- An Importance-Performance Matrix Analysis of the Factors Influencing US Tourists to Use Airbnb -- Most Important Contents in Travel Blogs: A Perspective from Brazilian Tourists -- Virtual accessibility on digital business websites and tourist distribution -- Infoaccessibility on the websites of inbound markets of Portugal destination -- The feedback channels in a DMO: Case study in Porto and North Tourism Association -- Innovative Destination Branding: “Porto.” -- Web Accessibility in the Tourism Sector: an analysis of the most used Websites in Portugal.
Record Nr.	UNINA-9910484966403321

Autore	Rani Sita
Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (438 pages)
Disciplina	006.3
Altri autori (Persone)	DuttaSoumi RochaÁlvaro CengizKorhan
Collana	Studies in Computational Intelligence
Soggetto topico	Computational intelligence Engineering - Data processing Agriculture Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence
ISBN	3-031-93087-8
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Precision Agriculture for Sustainable Development: Concepts and Applications -- AI4AI: Revolutionizing Agriculture with Artificial Intelligence -- Evolving Role of Applied AI in Crop Farming -- Role of Artificial Intelligence in Precision Farming -- Precision Agriculture: Fuzzy Logic or Deep Neural Network Models for Robust Crop Disease Screening -- Machine Learning Models for Crop Management -- Enhancing Agricultural Climate Resilience through Machine Learning Models and Hyper-Parameter Tuning -- Enhancing Crop Resilience to Climate Change with AI -- AI-Based Smart Irrigation Systems for Water Conservation -- Sensor Technologies and Blockchain Integration for Data-Driven Precision Agriculture -- Satellite Imagery and GIS Applications in Precision Agriculture -- Leveraging GIS and Remote Sensing for Agricultural Advancement and Economic Development -- Projecting Ecological Footprint and Biocapacity: Insights into Sustainable Agriculture and Development -- Projecting Ecological Footprint and Biocapacity: Insights into Sustainable Agriculture and Development -- Evaluating Sentinel-2 and Sentinel-1 for Land Use / Land Cover Classification in a Rice-Producing Region of Uruguay -- Enhancing Potato Crop Health: A CNN-Based System for Early Detection of Early and Late Blight -- Development of a Neutrosophic Set Theory based Feature Selection method for Classification of Paddy Seed -- Optimizing Potato Crop Water Quality: A Comparative Analysis of Machine Learning Techniques and Gradient Boosting Approaches -- EFFECTS OF THE FREQUENCY EMISSIONS OF THE Tadarita brasiliensis SIMULATED USING ELECTRONIC DEVICE FOR REPELLING Copitarsia decolora (Lepidoptera: Noctuidae) ADULTS.
Record Nr.	UNINA-9911015865903321

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

Edizione	[1st ed. 2018.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica	1 online resource (415 pages)
Disciplina	355.03
Collana	Smart Innovation, Systems and Technologies
Soggetto topico	Computational intelligence Artificial intelligence Computational Intelligence Artificial Intelligence
ISBN	3-319-78605-9
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910299938403321