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.
Computer vision - ECCV 2022 . Part XXXV : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings / / Shai Avidan [and four others]
| Computer vision - ECCV 2022 . Part XXXV : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings / / Shai Avidan [and four others] |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (801 pages) |
| Disciplina | 006.37 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Pattern recognition systems |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 3-031-19833-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency -- Leveraging Action Affinity and Continuity for Semi-Supervised Temporal Action Segmentation -- Spotting Temporally Precise, Fine-Grained Events in Video -- Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation -- Efficient Video Transformers with Spatial-Temporal Token Selection -- Long Movie Clip Classification with State-Space Video Models -- Prompting Visual-Language Models for Efficient Video Understanding -- Asymmetric Relation Consistency Reasoning for Video Relation Grounding -- Self-Supervised Social Relation Representation for Human Group Detection -- K-Centered Patch Sampling for Efficient Video Recognition -- A Deep Moving-Camera Background Model -- GraphVid: It Only Takes a Few Nodes to Understand a Video -- Delta Distillation for Efficient Video Processing -- MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning -- COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality -- E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context -- TDViT: Temporal Dilated Video Transformer for Dense Video Tasks -- Semi-Supervised Learning of Optical Flow by Flow Supervisor -- Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization -- Deep 360° Optical Flow Estimation Based on Multi-Projection Fusion -- MaCLR: Motion-Aware Contrastive Learning of Representations for Videos -- Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection -- Frozen CLIP Models Are Efficient Video Learners -- PIP: Physical Interaction Prediction via Mental Simulation with Span Selection -- Panoramic Vision Transformer for Saliency Detection in 360° Videos -- Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration -- Motion Sensitive Contrastive Learning for Self-Supervised Video Representation -- Dynamic Temporal Filtering In Video Models -- Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification -- Temporal Lift Pooling for Continuous Sign Language Recognition -- MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes -- SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding -- Cross-Modal Prototype Driven Network for Radiology Report Generation -- TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts -- SeqTR: A Simple Yet Universal Network for Visual Grounding -- VTC: Improving Video-Text Retrieval with User Comments -- FashionViL: Fashion-Focused Vision-and-Language Representation Learning -- Weakly Supervised Grounding for VQA in Vision-Language Transformers -- Automatic Dense Annotation of Large-Vocabulary Sign Language Videos -- MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval -- GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval -- A Simple and Robust Correlation Filtering Method for Text-Based Person Search. |
| Record Nr. | UNISA-996500066303316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer vision - ECCV 2022 . Part XXXV : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings / / Shai Avidan [and four others]
| Computer vision - ECCV 2022 . Part XXXV : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings / / Shai Avidan [and four others] |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (801 pages) |
| Disciplina | 006.37 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Pattern recognition systems |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 3-031-19833-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency -- Leveraging Action Affinity and Continuity for Semi-Supervised Temporal Action Segmentation -- Spotting Temporally Precise, Fine-Grained Events in Video -- Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation -- Efficient Video Transformers with Spatial-Temporal Token Selection -- Long Movie Clip Classification with State-Space Video Models -- Prompting Visual-Language Models for Efficient Video Understanding -- Asymmetric Relation Consistency Reasoning for Video Relation Grounding -- Self-Supervised Social Relation Representation for Human Group Detection -- K-Centered Patch Sampling for Efficient Video Recognition -- A Deep Moving-Camera Background Model -- GraphVid: It Only Takes a Few Nodes to Understand a Video -- Delta Distillation for Efficient Video Processing -- MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning -- COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality -- E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context -- TDViT: Temporal Dilated Video Transformer for Dense Video Tasks -- Semi-Supervised Learning of Optical Flow by Flow Supervisor -- Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization -- Deep 360° Optical Flow Estimation Based on Multi-Projection Fusion -- MaCLR: Motion-Aware Contrastive Learning of Representations for Videos -- Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection -- Frozen CLIP Models Are Efficient Video Learners -- PIP: Physical Interaction Prediction via Mental Simulation with Span Selection -- Panoramic Vision Transformer for Saliency Detection in 360° Videos -- Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration -- Motion Sensitive Contrastive Learning for Self-Supervised Video Representation -- Dynamic Temporal Filtering In Video Models -- Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification -- Temporal Lift Pooling for Continuous Sign Language Recognition -- MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes -- SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding -- Cross-Modal Prototype Driven Network for Radiology Report Generation -- TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts -- SeqTR: A Simple Yet Universal Network for Visual Grounding -- VTC: Improving Video-Text Retrieval with User Comments -- FashionViL: Fashion-Focused Vision-and-Language Representation Learning -- Weakly Supervised Grounding for VQA in Vision-Language Transformers -- Automatic Dense Annotation of Large-Vocabulary Sign Language Videos -- MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval -- GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval -- A Simple and Robust Correlation Filtering Method for Text-Based Person Search. |
| Record Nr. | UNINA-9910629292203321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang
| Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang |
| Autore | Fan Lixin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 005.82 |
| Altri autori (Persone) |
ChanChee Seng
YangQiang |
| Soggetto topico |
Machine learning
Data protection Image processing—Digital techniques Computer vision Image processing Machine Learning Data and Information Security Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-19-7554-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Preliminary -- Chapter 1. Introduction -- Chapter 2. Ownership Verification Protocols for Deep Neural Network Watermarks -- Part II Techniques -- Chapter 3. ModelWatermarking for Image Recovery DNNs -- Chapter 4. The Robust and Harmless ModelWatermarking -- Chapter 5. Protecting Intellectual Property of Machine Learning Models via Fingerprinting the Classification Boundary -- Chapter 6. Protecting Image Processing Networks via Model Water -- Chapter 7. Watermarks for Deep Reinforcement Learning -- Chapter 8. Ownership Protection for Image Captioning Models -- Chapter 9.Protecting Recurrent Neural Network by Embedding Key -- Part III Applications -- Chapter 10. FedIPR: Ownership Verification for Federated Deep Neural Network Models -- Chapter 11. Model Auditing For Data Intellectual Property . |
| Record Nr. | UNISA-996546839603316 |
Fan Lixin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang
| Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang |
| Autore | Fan Lixin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 005.82 |
| Altri autori (Persone) |
ChanChee Seng
YangQiang |
| Soggetto topico |
Machine learning
Data protection Image processing—Digital techniques Computer vision Image processing Machine Learning Data and Information Security Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-19-7554-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Preliminary -- Chapter 1. Introduction -- Chapter 2. Ownership Verification Protocols for Deep Neural Network Watermarks -- Part II Techniques -- Chapter 3. ModelWatermarking for Image Recovery DNNs -- Chapter 4. The Robust and Harmless ModelWatermarking -- Chapter 5. Protecting Intellectual Property of Machine Learning Models via Fingerprinting the Classification Boundary -- Chapter 6. Protecting Image Processing Networks via Model Water -- Chapter 7. Watermarks for Deep Reinforcement Learning -- Chapter 8. Ownership Protection for Image Captioning Models -- Chapter 9.Protecting Recurrent Neural Network by Embedding Key -- Part III Applications -- Chapter 10. FedIPR: Ownership Verification for Federated Deep Neural Network Models -- Chapter 11. Model Auditing For Data Intellectual Property . |
| Record Nr. | UNINA-9910728383303321 |
|
Fan Lixin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovations in Data Analytics [[electronic resource] ] : Selected Papers of ICIDA 2022 / / edited by Abhishek Bhattacharya, Soumi Dutta, Paramartha Dutta, Vincenzo Piuri
| Innovations in Data Analytics [[electronic resource] ] : Selected Papers of ICIDA 2022 / / edited by Abhishek Bhattacharya, Soumi Dutta, Paramartha Dutta, Vincenzo Piuri |
| Autore | Bhattacharya Abhishek |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (633 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
DuttaSoumi
DuttaParamartha PiuriVincenzo |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Quantitative research Image processing—Digital techniques Computer vision Data protection Telecommunication Computational Intelligence Data Analysis and Big Data Computer Imaging, Vision, Pattern Recognition and Graphics Data and Information Security Communications Engineering, Networks |
| Soggetto non controllato |
Computer Security
Telecommunication Engineering Computers Technology & Engineering |
| ISBN | 981-9905-50-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Contents -- About the Editors -- Computational Intelligence -- Transience in COVID Patients with Comorbidity Issues-A Systematic Review and Meta-Analysis Based on Indian and Southeast Asian Context -- 1 Introduction -- 1.1 Risk of COVID Patients with Comorbidity Issues -- 2 COVID Patient Statistics with Comorbidity Issues -- 3 Research Methodology -- 3.1 Search Strategy -- 4 Related Literature Survey in This Area -- 5 Discussion -- 6 Conclusion and Future Scope -- References -- NFT HUB-The Decentralized Non-Fungible Token Market Place -- 1 Introduction -- 1.1 Non-Fungible Token -- 1.2 Blockchain -- 2 Literature Survey -- 3 Proposed System -- 3.1 Blockchain -- 3.2 Ethereum Blockchain -- 3.3 Properties of Blockchain -- 3.4 Generic Elements of the Blockchain -- 3.5 Secure Hash Algorithm -- 4 Results and Discussion -- 4.1 Deployment Confirmation -- 4.2 Metamask Wallet -- 4.3 Minting Page -- 4.4 Transaction Address -- 4.5 Dashboard -- 5 Conclusion -- 5.1 Future Scope of the Project -- References -- Hashgraph: A Decentralized Security Approach Based on Blockchain with NFT Transactions -- 1 Introduction -- 1.1 Optimized Blockchain Server -- 2 Literature Survey -- 2.1 Survey Report: On Token Service -- 2.2 Survey Report: On Main-Net Access -- 2.3 Survey Report: Remove Centralized Control: Hala Systems -- 3 Proposed System -- 3.1 Non-Fungible Transaction -- 3.2 Blockchain Methodology -- 3.3 Gossip Protocol -- 3.4 Hashgraph -- 3.5 Consensus Algorithm [In Gossip Protocol] -- 3.6 HCS Implementation -- 4 Performance Evaluation -- 4.1 Transaction Cost Denomination of Our Network -- 4.2 Transaction Cost of Network on Blockchain NFT -- 5 Result and Discussion -- 6 Conclusion -- References -- Med Card: An Innovative Way to Keep Your Medical Records Handy and Safe -- 1 Introduction -- 1.1 What is Blockchain?.
1.2 What is Machine Learning? -- 2 Literature Review -- 3 Technologies Used -- 3.1 Blockchain in Health Care -- 3.2 Machine Learning in Health Care -- 4 Proposed Idea -- 4.1 What is a Med Card? -- 4.2 Workflow -- 5 Conclusion and Future Scope -- References -- Delta Operator-Based Modelling and Control of High Power Induction Motor Using Novel Chaotic Gorilla Troop Optimizer -- 1 Introduction -- 2 Formulation of the Problem -- 3 New Chaotic Gorilla Troop Optimizer -- 4 Simulation Ouput and Their Analysis -- 5 Conclusions -- References -- An Enhanced Optimize Outlier Detection Using Different Machine Learning Classifier -- 1 Introduction -- 2 Outlier Detection -- 3 Literature Review -- 4 Proposed Methodology -- 5 Simulation Result -- 6 Conclusion -- References -- Prediction of Disease Diagnosis for Smart Healthcare Systems Using Machine Learning Algorithm -- 1 Introduction -- 2 Heart Disease -- 3 Diabetes Mellitus -- 4 Proposed Methodology -- 5 Simulation Results -- 6 Conclusion -- References -- Optimization Accuracy on an Intelligent Approach to Detect Fake News on Twitter Using LSTM Neural Network -- 1 Introduction -- 2 Road Map of Methodology -- 2.1 Data Collection and Filtration -- 2.2 Pre-processing -- 2.3 Feature Extraction -- 2.4 Feature Selection -- 2.5 Classification -- 3 Proposed Methodology -- 4 Simulation Results -- 5 Conclusion -- References -- Advance Computing -- Mining User Interest Using Bayesian-PMF and Markov Chain Monte Carlo for Personalised Recommendation Systems -- 1 Introduction -- 2 Related Work and Background -- 3 Experimental Methodology -- 3.1 Probabilistic Matrix Factorization (PMF) -- 3.2 Bayesian-PMF with MCMC -- 3.3 Sparsity Reduction -- 3.4 Performance Measure -- 4 Proposed Architecture -- 5 Experimental Outcomes and Investigation -- 5.1 Dataset Description -- 6 Conclusion and Future Work -- References. Big Data and Its Role in Cybersecurity -- 1 Introduction -- 2 Security Using Big Data -- 2.1 Use of Big Data Analytic (BDA) as Defense Tool -- 2.2 Cybersecurity and Machine Learning -- 3 Cybersecurity Approaches in Big Data -- 4 Research Trends and Challenges -- 4.1 Use of Big Data in Defense -- 4.2 Laws Regulating to Big Data -- 4.3 Distribution of Data for Storage -- 4.4 Security Technique Scalability in the Big Data -- 5 Conclusions -- References -- QR Code-Based Digital Payment System Using Visual Cryptography -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Implementation -- 4.1 Encryption -- 4.2 AES Algorithm -- 4.3 Decryption -- 5 Result -- 6 Conclusion -- References -- A Study of Different Approaches of Offloading for Mobile Cloud Computing -- 1 Introduction -- 2 Research Method -- 3 Offloading for Mobile Cloud Computing -- 4 Applications Suitable for Offloading in MCC -- 5 Different Offloading Approaches -- 6 Conclusion -- References -- Use of Machine Learning Models for Analyzing the Accuracy of Predicting the Cancerous Diseases -- 1 Introduction -- 2 Related Work -- 3 Machine Learning Models -- 3.1 Logistic Regression -- 3.2 Decision Tree -- 3.3 Random Forest Classifier -- 4 Experiment -- 4.1 Experiment Environment -- 4.2 Breast Cancer Dataset -- 5 Experimental Results -- 6 Conclusion -- References -- Predict Employee Promotion Using Supervised Classification Approaches -- 1 Introduction -- 2 Related Works -- 3 Implementation -- 3.1 Proposed Model -- 3.2 Data Collection -- 3.3 Data Analysis -- 3.4 Engineered Functions -- 3.5 Train-Test-Split -- 3.6 Model Building -- 4 Performance Evaluation -- 5 Conclusion -- References -- Smart Grid Analytics-Analyzing and Identifying Power Distribution Losses with the Help of Efficient Data Regression Algorithms -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Results. 5 Conclusion -- References -- Load Balancing on Cloud Using Genetic Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Results -- 5 Conclusions and Future Work -- References -- Network Security and Telecommunication -- Hybrid Feature Selection Approach to Classify IoT Network Traffic for Intrusion Detection System -- 1 Introduction -- 2 Literature Survey -- 3 Research Gaps -- 4 Proposed Work -- 4.1 Proposed Methodology -- 5 Experimental Results -- 5.1 Dataset Description -- 5.2 System Configuration -- 5.3 Model Parameters -- 5.4 Performance Parameters -- 6 Conclusion -- References -- A Deep Learning-Based Framework for Analyzing Stress Factors Among Working Women -- 1 Introduction -- 2 Literature Survey -- 3 Stress Factors (Stressors) -- 3.1 Deep Learning: Background -- 3.2 Deep Learning-Based Framework for Early Stress Detection -- 4 Results and Discussion -- 5 Conclusion -- References -- Automatic Question Generation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Methodology -- 5 Conclusion and Future Scope -- References -- Automatic Construction of Named Entity Corpus for Adverse Drug Reaction Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Biomedical Named Entity Recognition -- 2.2 Datasets for Biomedical Entity Recognition -- 3 Proposed Work -- 3.1 ADR Corpus Overview -- 3.2 Corpus Construction Steps -- 4 Results -- 4.1 Contributions -- 4.2 Statistics -- 5 Discussion -- References -- A Space Efficient Metadata Structure for Ranking Subset Sums -- 1 Introduction -- 1.1 Problem Formulation -- 1.2 Past Work -- 1.3 Our Contribution -- 2 Outline of Our Technique -- 3 Generation of Top-kk Subsets -- 3.1 The Metadata Structure upper GG -- 3.2 Construction of Metadata Structure upper GG -- 3.3 Query Answering with Heap -- 3.4 Modified Metadata Structure upper GG -- 3.5 The Final Structure of upper GG. 3.6 Generation of Top-kk Subsets by upper GG on Demand -- 3.7 Getting Rid of the Bit String -- 4 Experimental Results -- 4.1 Analysis of the Results -- 5 Conclusion -- References -- Brain Tumour Detection Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Methodology and Materials -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Implementation of a Smart Patient Health Tracking and Monitoring System Based on IoT and Wireless Technology -- 1 Overview -- 2 Block Diagram -- 3 Methodology and Results -- 3.1 Database Tracking and Maintenance -- 4 Conclusion and Future Scope -- References -- Diabetes Disease Prediction Using KNN -- 1 Introduction -- 2 Literature Survey -- 2.1 How is Data Science Revolutionizing the Healthcare Industry? -- 2.2 Role of Data Science in Health Care -- 2.3 Diabetes Detection Using Data Science -- 2.4 Flow of the Methodology Used for Diabetes Detection -- 3 Proposed System -- 4 Results -- 4.1 Experimental Results -- 4.2 Visualization of Obtained Results -- 5 Conclusion -- 6 Future Scope -- References -- Review: Application of Internet of Things (IoT) for Vehicle Simulation System -- 1 Introduction -- 2 Application -- 3 Basic Concepts of IoT -- 4 Simulation Concept -- 5 Simulation-Based Internet of Things -- 6 Application of Simulated IoT for System Used in Vehicle -- 7 Car Simulation Structure and Principle -- 8 Embedding Security Features in a Vehicle Using IoT -- 9 Conclusion and Future Scope -- References -- Data Science and Data Analytics -- Time Series Analysis and Forecast Accuracy Comparison of Models Using RMSE-Artificial Neural Networks -- 1 Introduction -- 2 Related Research -- 3 Neural Networks Models in Time Series -- 3.1 Feed-Forward Neural Network Model -- 3.2 Time-Lagged Neural Networks -- 3.3 Seasonal Artificial Neural Networks -- 3.4 Long Short-Term Memory (LSTM). 4 Time Series Analysis. |
| Record Nr. | UNINA-9910728933703321 |
|
Bhattacharya Abhishek
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Communication Technologies and Virtual Mobile Networks [[electronic resource] ] : Proceedings of ICICV 2023 / / edited by G. Rajakumar, Ke-Lin Du, Álvaro Rocha
| Intelligent Communication Technologies and Virtual Mobile Networks [[electronic resource] ] : Proceedings of ICICV 2023 / / edited by G. Rajakumar, Ke-Lin Du, Álvaro Rocha |
| Autore | Rajakumar G |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (923 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
DuKe-Lin
RochaÁlvaro |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Telecommunication
Wireless communication systems Mobile communication systems Internet of things Computer vision Communications Engineering, Networks Wireless and Mobile Communication Internet of Things Computer Vision |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-9917-67-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. A DGS loaded Compact Super - Wideband Antenna for Microwave Imaging Application -- Chapter 2. A Study on Repeated Game Theory in Wireless Sensor Networks Security -- Chapter 3. An Overview of Information-Centric Network: Concepts, Network Architecture, Comparison, and Difficulties -- Chapter 4. Automated Mishap Detection and Prevention System for Vehicles -- Chapter 5. Autonomous Drone Using Time of Flight Sensor for Collision Avoidance -- Chapter 6. Collaborative Communication Models in Non-Cash Food Assistance (Bantuan Pangan Non-Tunai, Bpnt) Program: Towards Community Resilience -- Chapter 7. Communication technology for information exchange using short-range unmanned aerial vehicles -- Chapter 8. Evaluative Aspects of Wireless Sensor Networks Reliability Model: A Case Study -- Chapter 9. Implementation of 3D Object Models for Mobile Applications in UI/UX Design using SceneView API -- Chapter 10. Latest Trends in Wireless Network Optimization using Distributed Learning -- Chapter 11. Malware Classification in Local System Executable Files Using Deep learning -- Chapter 12. New generation 3D optical switch for free pace optical networks -- Chapter 13. Terrain Dimensions and Node Density Analysis of MANET using NS2 and BonnMotion -- Chapter 14. Towards Secure Fault-tolerant Wireless Sensor Communication: Challenges and Applications -- Chapter 15. Utilizing Data from Quick Access Recorder to Predict Faulty Processing on Aircrafts. etc. . |
| Record Nr. | UNINA-9910728938903321 |
|
Rajakumar G
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of Second Asian Symposium on Cellular Automata Technology [[electronic resource] ] : ASCAT 2023 / / edited by Sukanta Das, Genaro Juarez Martinez
| Proceedings of Second Asian Symposium on Cellular Automata Technology [[electronic resource] ] : ASCAT 2023 / / edited by Sukanta Das, Genaro Juarez Martinez |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (232 pages) |
| Disciplina | 511.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Image processing - Digital techniques Computer vision Computational Intelligence Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
| Soggetto non controllato |
Artificial Intelligence
Engineering Computers Technology & Engineering |
| ISBN |
9789819906888
9789819906871 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Invited Papers -- 1. Modelling physical systems with cellular automata -- 2. On visualization of three-dimensional cellular automata and tilings with head-mounted display -- 3. Brownian Circuits: from Computation to Neural Networks -- Part II: Accepted Papers -- 4. A Cellular Automata Based Clustering Technique for High-Dimensional Data -- 5. Cellular Automata based Sentiment Analysis -- 6. Cellular Automata with Large Cycle Generator -- 7. Design and Analysis of Regular Clock based 2:4 Decoder using T-Gate in QCA -- 8. Representation of Evolution of One-dimensional Homogeneous Cellular Automata Using Monoid Action -- 9. A Cellular Automata Based Approach on Assessment of Thickness of Stratified Mineral Deposits -- 10. On Non-linear Maximal Length Cellular Automata -- 11. Layered Cellular Automata and Pattern Classification -- 12. Analysis of One-Dimensional 4-State Cellular Automata Rules and DNA Evolutions -- 13. Modeling Spread of Contagious Disease by Temporally Stochastic Cellular Automata -- 14. Genealogy Interceded Phenotypic Analysis (GIPA) of ECA Rules -- 15. Isomorphism in Cellular Automata -- 16. A cellular automaton model for language shift in Algeria -- 17. Cellular Automata based Simulation of Intergranular Fracture using Hexagonal Discretization. |
| Record Nr. | UNINA-9910725088103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering [[electronic resource] ] : TCCE 2022 / / edited by M. Shamim Kaiser, Sajjad Waheed, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray
| Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering [[electronic resource] ] : TCCE 2022 / / edited by M. Shamim Kaiser, Sajjad Waheed, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray |
| Autore | Kaiser M. Shamim |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (537 pages) |
| Disciplina | 621.39 |
| Altri autori (Persone) |
WaheedSajjad
BandyopadhyayAnirban MahmudMufti RayKanad |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computer vision Internet of things Computational Intelligence Artificial Intelligence Computer Vision Internet of Things |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-19-9483-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Early Prediction and Analysis of DTI and MRI-based Alzheimer's Disease through Machine Learning Techniques -- Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images -- Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features -- Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification. |
| Record Nr. | UNINA-9910728396803321 |
|
Kaiser M. Shamim
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recognition and perception of images : fundamentals and applications / / edited by Iftikhar B. Abbasov
| Recognition and perception of images : fundamentals and applications / / edited by Iftikhar B. Abbasov |
| Pubbl/distr/stampa | Hoboken, New Jersey ; ; Beverly, Massachusetts : , : Scrivener Publishing : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (xvi, 448 pages) : illustrations |
| Disciplina | 006.37 |
| Soggetto topico | Computer vision |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN |
1-119-75199-3
1-119-75197-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830041103321 |
| Hoboken, New Jersey ; ; Beverly, Massachusetts : , : Scrivener Publishing : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robotics, Control and Computer Vision [[electronic resource] ] : Select Proceedings of ICRCCV 2022 / / edited by Hariharan Muthusamy, János Botzheim, Richi Nayak
| Robotics, Control and Computer Vision [[electronic resource] ] : Select Proceedings of ICRCCV 2022 / / edited by Hariharan Muthusamy, János Botzheim, Richi Nayak |
| Autore | Muthusamy Hariharan |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (600 pages) |
| Disciplina | 629.892 |
| Altri autori (Persone) |
BotzheimJános
NayakRichi |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Control engineering
Robotics Automation Computer vision Application software Control, Robotics, Automation Computer Vision Computer and Information Systems Applications |
| Soggetto non controllato |
Computer Graphics
Automation Computers Technology & Engineering |
| ISBN | 981-9902-36-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Challenges and Opportunity for Salient Object Detection in COVID-19 Era: A Study -- Chapter 2: Multi-agent Task Assignment Using Swap-Based Particle Swarm Optimization for Surveillance and Disaster Management -- Chapter 3: Facemask Detection and Maintaining Safe Distance Using AI and ML to Prevent COVID-19—A Study. |
| Record Nr. | UNINA-9910728392203321 |
|
Muthusamy Hariharan
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
