Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems : DPTA 2020 / / edited by Chuanchao Huang, Yu-Wei Chan, Neil Yen
| 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems : DPTA 2020 / / edited by Chuanchao Huang, Yu-Wei Chan, Neil Yen |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (1587 pages) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Automatic control Robotics Automation Computational Intelligence Data Engineering Control, Robotics, Automation Robòtica Processament de dades Intel·ligència computacional |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-16-1726-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Application of Big Data Technology in Enterprise Financial Management -- The Cultivation Research of Management Accounting Talents in Universities under the Background of Artificial Intelligence -- Volatility Modeling of S&P500 Returns: A Comparative Study of GARCH Family Models and VIX -- Research on the Control System of Intelligent Discrimination of Electricity Stealing and Omission -- Analysis of Port Efficiency and Influencing Factors Based on DEA-Tobit -- Application Status and Prospect of Artificial Intelligence Big Data in Stadium Management -- Design of Automatic Intelligent Water Saving System for Faucet -- Optimization of labor value and relationship distribution under the blockchain -- Algorithm design and function realization of home decoration design software based on BIMm -- On the Early Warning of Internet Financial Risk Based on Big Data -- Design of ceramic art design assistant teaching system based on Cloud Computing Technology -- Research on security situation analysis and intelligent disposal technology of edge side area -- Design of horse health management system based on wireless network and simulation system. |
| Record Nr. | UNINA-9910483438103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Analytics and Learning on Temporal Data : 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers / / edited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim
| Advanced Analytics and Learning on Temporal Data : 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers / / edited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (202 pages) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Computer networks Social sciences - Data processing Education - Data processing Artificial Intelligence Data Mining and Knowledge Discovery Computer Communication Networks Computer Application in Social and Behavioral Sciences Computers and Education Intel·ligència artificial Mineria de dades Xarxes d'ordinadors Ciències socials Educació Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-91445-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Oral Presentation -- Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification -- State Space approximation of Gaussian Processes for time-series forecasting -- Fast Channel Selection for Scalable Multivariate Time Series Classification -- Temporal phenotyping for characterisation of hospital care pathways of COVID patients -- A New Multivariate Time Series Co-clustering Non-Parametric Model Applied to Driving-Assistance Systems Validation -- TRAMESINO: Trainable Memory System for Intelligent Optimization of Road Traffic Control -- Detection of critical events in renewable energy production time series -- Poster Presentation -- Multimodal Meta-Learning for Time Series Regression -- Cluster-based Forecasting for Intermittent and Non-intermittent Time Series -- State discovery and prediction from multivariate sensor data -- RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds -- From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information. |
| Record Nr. | UNINA-9910512174803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computing Techniques in Engineering and Technology : First International Conference, ACTET 2023, Jaipur, India, December 18–19, 2023, Proceedings / / edited by Ramesh C. Bansal, Margarita N. Favorskaya, Shahbaz Ahmed Siddiqui, Pooja Jain, Ankush Tandon
| Advanced Computing Techniques in Engineering and Technology : First International Conference, ACTET 2023, Jaipur, India, December 18–19, 2023, Proceedings / / edited by Ramesh C. Bansal, Margarita N. Favorskaya, Shahbaz Ahmed Siddiqui, Pooja Jain, Ankush Tandon |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (121 pages) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Artificial intelligence - Data processing Artificial Intelligence Computer and Information Systems Applications Data Science Intel·ligència artificial Programari d'aplicació Processament de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-54162-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Real time Pattern Recognition with Support Vector Machines and Local Binary Patterns -- Adversarial Attacks and Defenses in Capsule Networks: A Critical Review of Robustness Challenges and Mitigation Strategies -- Control Schemes for Hybrid AC-DC Microgrid -- Design of Low Power and Energy Efficient Write Driver with Bitline Leakage Compensation for SRAM -- Review of Synergistic Integration of Microstrip Patch Antennas in Biomedical and Artificial Intelligence Domains -- An optimal design of an MLFNN coupled with genetic algorithm for prediction of MIG-CO2 welding process -- Stochastic Model for Estimation of Aggregated EV Charging Load Demand. |
| Record Nr. | UNINA-9910842299403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced hybrid information processing . Part II : 5th EAI international conference, ADHIP 2021, virtual event, October 22-24, 2021 : proceedings / / Shuai Liu and Xuefei Ma
| Advanced hybrid information processing . Part II : 5th EAI international conference, ADHIP 2021, virtual event, October 22-24, 2021 : proceedings / / Shuai Liu and Xuefei Ma |
| Autore | Lichuanjushi |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (523 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Artificial intelligence
Electronic data processing Processament de dades Intel·ligència artificial Dades massives Control intel·ligent |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-94554-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464538103316 |
Lichuanjushi
|
||
| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced hybrid information processing : 5th EAI international conference, ADHIP 2021, virtual event, October 22-24, 2021 : proceedings. Part I / / edited by Shuai Liu, Xuefei Ma
| Advanced hybrid information processing : 5th EAI international conference, ADHIP 2021, virtual event, October 22-24, 2021 : proceedings. Part I / / edited by Shuai Liu, Xuefei Ma |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (753 pages) |
| Disciplina | 004.6 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Artificial intelligence
Processament de dades Intel·ligència artificial Dades massives Control intel·ligent |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-94551-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464537903316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science : Essays in Honour of Wolfgang Schmid / / edited by Sven Knoth, Yarema Okhrin, Philipp Otto
| Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science : Essays in Honour of Wolfgang Schmid / / edited by Sven Knoth, Yarema Okhrin, Philipp Otto |
| Autore | Knoth Sven |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (503 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
OkhrinYarema
OttoPhilipp |
| Soggetto topico |
Statistics
Environmental sciences - Mathematics Statistical Theory and Methods Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics in Business, Management, Economics, Finance, Insurance Mathematical Applications in Environmental Science Estadística matemàtica Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031691119
3031691113 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | - Part I Statistical Process Monitoring -- More On the Quasi-Stationary Distribution of the Shiryaev–Roberts Diffusion -- CUSUM schemes for stationary and nonstationary Gaussian processes -- Distribution-Free Multivariate Phase I Shewhart Control Charts: Analysis, Comparisons and Recommendations -- Quick Detection Updating Variable Life-Adjusted Display -- Monitoring complex segmented streams of data using bootstrap control charts -- Some Stylized Facts of the Conditional Expected Delay (CED) -- Stochastic Ordering in the Performance Analysis of Control Charts for Binomial AR(1) Processes -- An Integrated Approach for Designing a Phase I C-Control Chart Based on the Phase II Performance of Poisson Exponentially Weighted Moving Average Control Chart -- Control Charts for Poisson Counts based on the Stein–Chen Identity -- Misguided Statistical Process Monitoring Approaches -- Part II Statistics in Finance -- The Empirical Similarity Approach for Combining Predictions of Portfolio Weights -- Linear Shrinkage-Based Hypothesis Test for Large Dimensional Covariance Matrix -- Estimation of Optimal Portfolio Compositions for Small Sample and Singular Covariance Matrix -- Shrinkage Estimation of the Intercept Parameter in Linear Regression -- Intergenerational social mobility in the United States: a multivariate analysis using distributional regression -- Can we give the Maximum Sharpe Ratio Portfolio a Chance? -- On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks -- Part III Environmetrics and Spatial Statistics -- A Bivariate Spatiotemporal Analysis of Breast Cancer and Lung Cancer Mortality and Incidence in the United States -- To what extent airborne particulate matters are influenced by ammonia and nitrogen oxides? -- A deep-learning approach for reducing the probability of false alarms in smartphone-based earthquake early warning systems -- When things get extreme: Records and crashes -- Spatial autoregressive fractionally integrated moving average model -- A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review -- On the estimation of smooth maps from regional aggregates via measurement error models: A review. |
| Record Nr. | UNINA-9910897985603321 |
|
Knoth Sven
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
| Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (338 pages) |
| Disciplina | 519.5 |
| Collana | ICSA Book Series in Statistics |
| Soggetto topico |
Biometry
Statistics Artificial intelligence - Data processing Machine learning Biostatistics Applied Statistics Data Science Machine Learning Estadística matemàtica Processament de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-08329-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing -- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables -- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression -- 4. Learning Finite Gaussian Mixture via Wasserstein Distance -- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking -- 6. Estimation in Functional Linear Model with Incomplete Functional Observations -- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data -- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data -- 9. Flexible Transformations for Modeling Compositional Data -- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error -- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers -- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey -- 13. Efficient Experimental Design for Regularized Linear Models -- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset -- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits. |
| Record Nr. | UNISA-996495167803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Artificial Intelligence, Computation, and Data Science : For Medicine and Life Science / / edited by Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg
| Advances in Artificial Intelligence, Computation, and Data Science : For Medicine and Life Science / / edited by Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (373 pages) |
| Disciplina | 610.285 |
| Collana | Computational Biology |
| Soggetto topico |
Bioinformatics
Artificial intelligence Artificial intelligence - Data processing Computer science Biomathematics Image processing - Digital techniques Computer vision Computational and Systems Biology Artificial Intelligence Data Science Theory of Computation Mathematical and Computational Biology Computer Imaging, Vision, Pattern Recognition and Graphics Intel·ligència artificial en medicina Investigació mèdica Ciències de la vida Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-69951-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Review of Recent Developments in AI, Computational Models for Complex Data Analysis, and Data Science -- 1. Recent Developments in AI -- 2. Recent Developments in Computational Models for Data Analysis -- 3. Recent Developments in Data Science -- Part II: Applications in Medicine and Physiology -- 4. Cancer -- 5. Neuroscience -- 6. Cardiology -- 7. Critical Care -- 8. Health Care -- 9. Digital Pathology -- Part III: Applications in Life Science -- 10. Systems Biology -- 11. Cell Biology -- 12. Biochemistry -- 13. Chemo-metrics -- 14. Food Technology. |
| Record Nr. | UNISA-996464404503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in computational methods and technologies in aeronautics and industry / / edited by Dietrich Knoerzer, Jacques Periaux, and Tero Tuovinen
| Advances in computational methods and technologies in aeronautics and industry / / edited by Dietrich Knoerzer, Jacques Periaux, and Tero Tuovinen |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (290 pages) |
| Disciplina | 551.48 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Aeronautics
Aeronàutica Models matemàtics Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-12019-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996503550903316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part II / / edited by Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser, Tuncer Ören, V. R. Sonawane
| Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part II / / edited by Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser, Tuncer Ören, V. R. Sonawane |
| Autore | Singh Mayank |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (447 pages) |
| Disciplina | 005.8 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data structures (Computer science)
Information theory Machine learning Education - Data processing Social sciences - Data processing Application software Database management Data Structures and Information Theory Machine Learning Computers and Education Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications Database Management Estructures de dades (Informàtica) Teoria de la informació Aprenentatge automàtic Educació Ciències socials Processament de dades Programari d'aplicació Gestió de bases de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-88244-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Predicting Seasonal Vaccines and H1N1 Vaccines Using Machine Learning Techniques -- Handling Class Imbalance in Electroencephalography data using Synthetic Minority Oversampling Technique -- Dissemination of Firm’s Market Information: Application of Kermack-Mckendrick SIR Model -- Improving Image-based Dialog by Reducing Modality Biases -- Dependency Parser for Hindi using Integer Linear Programming -- Medical Records Management using Distributed Ledger and Storage -- Detection of Depression and Suicidal Ideation on Social Media: An Intrinsic Review -- Frequency Based Feature Extraction Technique for Text Documents in Tamil Language -- An Approach of Devanagari License Plate Detection and Recognition Using Deep Learning -- COMBINE: A pipeline for SQL Generation from Natural Language -- Recognition of Isolated Gestures for Indian Sign Language using Transfer Learning -- A Study of Five Models Based on Non-Clinical Data for the Prediction of Diabetes Onset in Medically Under-Served Populations -- Representation and Visualization of Students’ Progress Data through Learning Dashboard -- Denoising of Computed Tomography images for improved performance of medical devices in Biomedical Engineering -- Image Dehazing through Dark Channel Prior and Color Attenuation Prior -- Predicting the Death of Road Accidents in Bangladesh Using Machine Learning Algorithms -- Numerical computation of finite quaternion Mellin transform using a new algorithm -- Predictive Modeling of Tandem Silicon Solar Cell for Calculating Efficiency -- Text Summarization of an Article Extracted from Wikipedia using NLTK Library -- Grapheme to Phoneme Mapping for Tamil Language -- Comparative Study of Physiological Signals from Empatica E4 Wristband for Stress Classification -- An E-Commerce Prototype for Predicting the Product Return phenomenon Using Optimization and Regression Techniques.-Crop Yield Prediction for Indiausing Regression Algorithms -- A Novel Framework for Multimodal Twitter Sentiment Analysis using Feature Learning -- An Iterative Approach Based Reversible Data Hiding with Weight Update for Dual Stego Images -- Lower and Upper Bounds for ‘Useful’ Renyi Information Rate -- Sign Language Recognition using Convolutional Neural Network -- Prediction of Stock Price for Indian Stock Market: A Comparative Study using LSTM and GRU -- Early Prediction of Cardiovascular Disease among Young Adults through Coronary Artery Calcium Score Technique -- Confidentiality Leakage Analysis of Database-driven Applications -- Comparative learning of on request direction-finding procedures in WSNs -- ECG based Stress Detection in Automobile Drivers using Long Short-Term Memory (LSTM) Network -- Evaluation of soil moisture for estimation of irrigation pattern by using Machine Learning Methods -- Sentiment analysis in online learning environment: A systematic review -- Image Splicing Forgery Detection Techniques: A Review -- A Predictive Model for Classification of Breast Cancer Data Sets -- Impact of COVID-19 on the Health of Elderly Person -- The determinants of visit frequency and buying intention at shopping centers in Vietnam. |
| Record Nr. | UNINA-9910506407003321 |
|
Singh Mayank
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
