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.
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
| Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 621.367 |
| Collana | Transactions on Computer Systems and Networks Ser. |
| Soggetto topico |
Image processing - Digital techniques
Image processing - Digital techniques - Data processing Processament digital d'imatges Reconeixement de formes (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-9324-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464549403316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
| Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 621.367 |
| Collana | Transactions on Computer Systems and Networks |
| Soggetto topico |
Image processing - Digital techniques
Image processing - Digital techniques - Data processing Processament digital d'imatges Reconeixement de formes (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
981-16-9324-2
981-16-9323-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996549370903316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
| Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 621.367 |
| Collana | Transactions on Computer Systems and Networks |
| Soggetto topico |
Image processing - Digital techniques
Image processing - Digital techniques - Data processing Processament digital d'imatges Reconeixement de formes (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
981-16-9324-2
981-16-9323-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743353203321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in intelligent computing and communication : proceedings of ICAC 2020 ; Bhubaneswar, Odisha, India, November 2020 / / editors, Swagatam Das, Mihir Narayan Mohanty
| Advances in intelligent computing and communication : proceedings of ICAC 2020 ; Bhubaneswar, Odisha, India, November 2020 / / editors, Swagatam Das, Mihir Narayan Mohanty |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (713 pages) : illustrations (chiefly color) |
| Disciplina | 621.382 |
| Collana | Lecture notes in networks and systems |
| Soggetto topico |
Digital communications
Image processing - Digital techniques Soft computing Processament digital d'imatges Intel·ligència artificial en medicina Informàtica mèdica COVID-19 |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-16-0695-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Classification and Detection of Leaves using Different Image processing Techniques Chapter 2. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques Chapter 3. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques Chapter 4. Realization of a vehicular robotic system using the principle of photonics Chapter 5. A Modified Hybrid Planar Antenna for Cognitive Radio Application Chapter 6. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models Chapter 7. Lungs Nodule Prediction using Convolutional Neural Network and K-Nearest Neighbor Chapter 8. Quantitative Structure Activity Relationships (QSARs) Study for KCNQ Genes(Kv7) and Drug discovery Chapter 9. Apple fruit disease detection and classification using k-means clustering method Chapter 10. A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems |
| Record Nr. | UNINA-9910483988903321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis of Images, Social Networks and Texts : 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
| Analysis of Images, Social Networks and Texts : 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (480 pages) |
| Disciplina | 006.31 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Machine learning Natural language processing (Computer science) Database management Algorithms Data Mining and Knowledge Discovery Machine Learning Natural Language Processing (NLP) Database Management Design and Analysis of Algorithms Mineria de dades Processament d'imatges Processament digital d'imatges |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-72610-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Making ML Models Fairer through Explanations: the Case of LimeOut -- RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain -- On Interpretability and Similarity in Concept-Based Machine Learning -- Natural Language Processing -- DaNetQA: a yes/no Question Answering Dataset for the Russian Language -- Do Topics Make a Metaphor? Topic Modeling for Metaphor Identification and Analysis in Russian -- Metagraph-Based Approach for Neural Text Question Generation -- Abstractive Summarization of Russian News Learning on Quality Media -- RST Discourse Parser for Russian: an Experimental Study of Deep Learning Models -- A Comparative Study of Feature Types for Age-Based Text Classification -- Emotion Classification in Russian: Feature Engineering and Analysis -- Generating Sport Summaries: A Case Study for Russian -- Automatic Generation of Annotated Collection for Recognition of Sentiment Frames -- ELMo and BERT in Semantic Change Detection for Russian -- BERT for Sequence-to-Sequence Multi-Label Text Classification -- Computer Vision -- Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans -- Identifying User Interests and Habits Using Object Detection and Semantic Segmentation Models -- Semi-Automatic Manga Colorization Using Conditional Adversarial Networks -- Automated Image and Video Quality Assessment for Computational Video Editing -- An Ensemble-based Classifier of Photographs of Commercial Buildings Facades -- Social Network Analysis -- Linking Friends in Social Networks using HashTag Attributes -- Emotional Analysis of Russian Texts Using Emojis in Social Networks -- Community Detection Based on the Nodes Role in a Network: the Telegram Platform Case -- Study Of Strategies For Disseminating Information In Social Networks Using Simulation Tools -- Data Analysis and Machine Learning -- Advanced Data Recognition Technique for Real-Time and Monitoring Systems -- Human Action Recognition for Boxing Training Simulator -- Bayesian Filtering in a Latent Space to Predict Bank Net Income from Acquiring -- Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World -- Russia on the Global Artificial Intelligence Scene -- New Properties Of The Data Distillation Method When Working With Tabular Data -- Unsupervised Anomaly Detection for Semi-Structured Sequence Healthcare Data -- Theoretical Machine Learning and Optimization -- Lower Bound Polynomial Fast Procedure for the Resource-Constrained Project Scheduling Problem Tested on PSPLIB Instances -- Fast Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks -- Process Mining -- Checking Conformance between Colored Petri Nets and Event Logs -- Data and Reference Semantic-Based Simulator of DB-nets with the Use of Renew Tool. . |
| Record Nr. | UNINA-9910484903503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational intelligence methods for super-resolution in image processing applications / / Anand Deshpande, Vania V. Estrela, Navid Razmjooy, editors
| Computational intelligence methods for super-resolution in image processing applications / / Anand Deshpande, Vania V. Estrela, Navid Razmjooy, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (308 pages) |
| Disciplina | 006.37 |
| Soggetto topico |
Computer vision
Visió per ordinador Processament digital d'imatges Intel·ligència computacional |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-67921-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483859703321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
