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.
Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part I / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja
| Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part I / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja |
| Autore | Rajagopal Sridaran |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (509 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PopatKalpesh
MevaDivyakant BajejaSunil |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Information technology - Management Application software Computers Artificial Intelligence Computer Application in Administrative Data Processing Computer and Information Systems Applications Computing Milieux Intel·ligència artificial Aprenentatge automàtic Aprenentatge profund Xarxes neuronals (Informàtica) Processament d'imatges |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031586040
3031586042 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Machine Learning -- Deep Learning -- Neural Networks -- Image Processing -- Smart Computing -- Cloud Computing Security -- IoT -- Blockchain -- Cyber Security -- Systems Security -- Cryptography -- Encryption -- Attacks -- Mitigation -- Computer Networks. |
| Record Nr. | UNINA-9910855395603321 |
Rajagopal Sridaran
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part II / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja
| Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part II / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja |
| Autore | Rajagopal Sridaran |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (515 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PopatKalpesh
MevaDivyakant BajejaSunil |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Information technology - Management Computers Artificial Intelligence Computer and Information Systems Applications Computer Application in Administrative Data Processing Computing Milieux Intel·ligència artificial Aprenentatge automàtic Aprenentatge profund Xarxes neuronals (Informàtica) Processament d'imatges |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031590979
303159097X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Machine Learning -- Deep Learning -- Neural Networks -- Image Processing -- Smart Computing -- Cloud Computing Security -- IoT -- Blockchain -- Cyber Security -- Systems Security -- Cryptography -- Encryption -- Attacks -- Mitigation -- Computer Networks. |
| Record Nr. | UNINA-9910855366703321 |
|
Rajagopal Sridaran
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part III / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja
| Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part III / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (495 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Computers Information technology - Management Artificial Intelligence Computer and Information Systems Applications Computing Milieux Computer Application in Administrative Data Processing Intel·ligència artificial Aprenentatge automàtic Aprenentatge profund Xarxes neuronals (Informàtica) Processament d'imatges |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-59100-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Machine Learning -- Deep Learning -- Neural Networks -- Image Processing -- Smart Computing -- Cloud Computing Security -- IoT -- Blockchain -- Cyber Security -- Systems Security -- Cryptography -- Encryption -- Attacks -- Mitigation -- Computer Networks. |
| Record Nr. | UNINA-9910855369803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part IV / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja
| Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part IV / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (422 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Computers Information technology - Management Artificial Intelligence Computer and Information Systems Applications Computing Milieux Computer Application in Administrative Data Processing Intel·ligència artificial Aprenentatge automàtic Aprenentatge profund Xarxes neuronals (Informàtica) Processament d'imatges |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-59107-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Machine Learning -- Deep Learning -- Neural Networks -- Image Processing -- Smart Computing -- Cloud Computing Security -- IoT -- Blockchain -- Cyber Security -- Systems Security -- Cryptography -- Encryption -- Attacks -- Mitigation -- Computer Networks. |
| Record Nr. | UNINA-9910855398103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Bias and Fairness in Information Retrieval : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
| Advances in Bias and Fairness in Information Retrieval : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo |
| Autore | Boratto Ludovico |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (187 pages) |
| Disciplina | 025.524 |
| Altri autori (Persone) |
FaralliStefano
MarrasMirko StiloGiovanni |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Artificial intelligence Electronic commerce Computer Engineering and Networks Artificial Intelligence e-Commerce and e-Business Aprenentatge automàtic Xarxes neuronals (Informàtica) Intel·ligència artificial Algorismes |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031372490
3031372492 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations -- Measuring Bias in Multimodal Models: Multimodal Composite Association Score -- Evaluating Fairness Metrics -- Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems -- Preserving Utility in Fair Top-k Ranking with Intersectional Bias -- Mitigating Position Bias in Hotels Recommender Systems -- Improving Recommender System Diversity with Variational Autoencoders -- Addressing Biases in the Texts using an End-to-End Pipeline Approach -- Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation -- How do you feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment -- Understanding Search Behavior Bias in Wikipedia -- Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations -- Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation -- What are we missing in algorithmic fairness? Discussing open challenges for fairness analysis in user profiling with Graph Neural Networks. |
| Record Nr. | UNINA-9910734876903321 |
|
Boratto Ludovico
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Computational Intelligence : 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Català
| Advances in Computational Intelligence : 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Català |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (456 pages) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Social sciences - Data processing Education - Data processing Computer vision Computer networks Computer systems Artificial Intelligence Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision Computer Communication Networks Computer System Implementation Intel·ligència artificial Xarxes neuronals (Informàtica) |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-85099-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Information fusion in Deep Learning for Biomedicine -- Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19) -- Advanced Topics in Computational Intelligence -- Biosignals Processing -- Deep Learning -- Meta-Learning and Other Automatic Learning Approaches in Intelligent Systems -- Artificial Intelligence and Biomedicine -- Convolutional Neural Networks: Beyond Traditional Solutions -- Bio-inspired Systems and Neuro-Engineering -- Agent-Based Models for Policy Design Towards a More Sustainable World -- Randomization in Deep Learning -- Neural Networks for Time Series Forecasting -- Applications in Artificial Intelligence. |
| Record Nr. | UNISA-996464385603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks – ISNN 2024 : 18th International Symposium on Neural Networks, Weihai, China, July 11–14, 2024, Proceedings / / edited by Xinyi Le, Zhijun Zhang
| Advances in Neural Networks – ISNN 2024 : 18th International Symposium on Neural Networks, Weihai, China, July 11–14, 2024, Proceedings / / edited by Xinyi Le, Zhijun Zhang |
| Autore | Le Xinyi |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (635 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | ZhangZhijun |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Numerical analysis Computer vision Algorithms Artificial Intelligence Numerical Analysis Computer Vision Design and Analysis of Algorithms Xarxes neuronals (Informàtica) |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9789819743995
9819743990 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimization Algorithms -- A Continuous Time Algorithm with Quantified Event Triggered for Distributed Resource Allocation Optimization -- A Novel Neurodynamic Approach to Bilevel Quadratic Programming -- A Collaborative Neurodynamic Optimization Algorithm of Eco routing with Electricity Allocation for PHEVs -- Energy Storage Scheduling Optimization Strategy Based on Deep Reinforcement Learning -- A Penalty like Neurodynamic Approach to Convex Optimization Problems with Set Constraint -- Doubly Accelerated Proximal Gradient for Nonnegative Tensor Decomposition -- Adversarial Learning, Transfer Learning, and Deep Learning -- Beyond Universal Transformer Block Reusing with Adaptor in Transformer for Automatic Speech Recognition -- HiFi WaveGAN Generative Adversarial Network with Auxiliary Spectrogram Phase Loss for High Fidelity Singing Voice Generation -- Efficient 3D View Synthesis from Single Image Utilizing Diffusion Priors -- 3D Multi scene Stylization Based on Conditional Neural Radiance Fields -- A Novel Entropy Based Regularization for NeRF to View Synthesis in Few Shot Scenarios -- PhonHuBERT a Phoneme Transcription Tool for Song Datasets -- Audio LLM Activating the Capabilities of Large Language Models to Comprehend Audio Data -- Improve Adversarial Robustness of MNIST Classification via Topological Data Analysis -- DiffMoCa Diffusion Model based Multi modality Cut and Paste -- Transfer Learning Based Deep Learning Model for Corn Leaf Disease Classification -- CSFuser A Cascade Siamese Fusion Architecture for RGB Infrared Object Detection -- An Improved YOLOv8 Target Detection Algorithm and its Application in Tennis Ball Picking Robot -- Deep Learning Based K Line Chart Recognition for Financial Quantitative Investment Analysis -- Temporal Difference Enhancement Network for Driving Behavior Recognition -- Signal, Image and Video Processing -- A Temporal Consistency Learning Framework for Face Forgery Detection -- Root Sparse Bayesian Learning Based 2D Off Grid DOA Estimation Algorithm for Massive MIMO Systems -- A Robust Visual SLAM System in Dynamic Environment -- CoYOLOv7 An Efficient Oil Spill Identification Network Based on SAR Images -- A Visual Inertial SLAM Method for Fusing Point and Line Features -- Classification of Coffee Leaves Using Smartphone Images and Convolutional Neural Networks -- KeyAtNet Keystroke Signal Real time Eavesdropping based on Fourier Neural Operator -- Enhancing Fruit and Vegetable Image Classification with Attention Mechanisms in Convolutional Neural Networks -- Contraband Detection Based on YOLOv7 Tiny XRay Image -- DCFNet Dense Complementary Fusion for RGB Thermal Urban Scene Perception -- An Improved YOLOv3 SPP Algorithm for Image Based Pothole Detection -- Modeling, Analysis, and Implementation of Neural Networks -- 3W SLP A Conceptual Model of Three Way Single Layer Perceptrons -- Mean Square Exponential Stability of Neutral Stochastic Delay Neural Networks -- Circuit Implementation of Fixed time Zeroing Neural Network for Time varying Equality Constrained Quadratic Programming -- Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures -- Boundary Stabilization of Complex Coupled Hyperbolic Stochastic Systems -- New Results on Input to State Stability of Memristor Based Inertial Neural Networks -- A Modified Hopfield Model with Adjustable Activation Function for Buridan’s Assay -- Simplified GZN Gradient Zhang Neurodynamic Continuous Model and Discrete Algorithms Handling Temporally Varying ODLMVE Over Determined Linear Matrix Vector Equation -- Simplified Gradient Zeroing Neuronet for Temporally Variant Convex Objective Function Minimization -- Improved Memristive Binarized Neural Networks using Transformer DCBNN Architecture with CBAM Attention Mechanism -- Light weight SA BNN High precision Olfactory Recognition of Binary Neural Networks -- Control Systems, Robotics, and Autonomous Driving -- Distributed Optimal Consensus Control for Heterogeneous Multi agent System with Disturbance -- Research on Optimal Control Strategy for Infectious Disease Prevention and Control -- A Learning Powered Model Predictive Control for Hybrid Electric Vehicles with Real world Driving Data -- nuScenesComplex A More Rigorous Evaluation Framework for End to End Autonomous Driving Planning -- Dual Criteria Robot Control: Optimization with End Effector Orientation Constraints -- Fault Diagnosis and Intelligent Industry -- Abnormal Vibration Fault Diagnosis of Reducer Based on Bayesian Network -- Research on Fault Diagnosis of Surge Arresters Based on Support Vector Recurrent Neural Network -- Research on Workstation Planning of Spacecraft Pulsating Assembly Lines Based on Improved Genetic Algorithm -- A Novel Method Based on Particle Swarm Optimization Support Vector Neural Network for Transformer Fault Diagnosis -- Text Extraction and Structuring of Standard Maintenance Documents for Metallurgical Continuous Casting Equipments -- Research on Job Scheduling Method for Metallurgical Equipment Manufacturing Workshop Based on Genetic Algorithm -- Bio signal, Bioinformatics and Biomedical Engineering -- A Deep Learning Approach for Single Cell Perturbation Prediction Using Small Molecule Chemical Structures -- To Distinguish Internal Infestation in Wheat Kernels Using Biophoton Technology and CS BP Algorithm -- Study of Segmentation Networks in the Detection of Ringspot Virus -- Neural Networks for Classification of Immunofixation Electrophoresis Tests -- CardiacRT NN Real Time Detection of Cardiovascular Disease Using Self Attention CNN LSTM for Embedded Systems. -Boosting Personalized Musculoskeletal Modeling with Deep Transfer Learning A Case Study. |
| Record Nr. | UNINA-9910872198603321 |
|
Le Xinyi
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied intelligence
| Applied intelligence |
| Pubbl/distr/stampa | [Dordrecht], : Kluwer Academic Publishers |
| Descrizione fisica | 1 online resource |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Neural networks (Computer science) Intelligence artificielle Réseaux neuronaux (Informatique) Intel·ligència artificial Xarxes neuronals (Informàtica) |
| Soggetto genere / forma |
Periodicals.
Revistes electròniques. |
| ISSN | 1573-7497 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | International journal of research on intelligent systems for real life complex problems |
| Record Nr. | UNINA-9910146898103321 |
| [Dordrecht], : Kluwer Academic Publishers | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in China : Proceedings of the 5th International Conference on Artificial Intelligence in China / / edited by Wei Wang, Jiasong Mu, Xin Liu, Zhenyu Na Na
| Artificial Intelligence in China : Proceedings of the 5th International Conference on Artificial Intelligence in China / / edited by Wei Wang, Jiasong Mu, Xin Liu, Zhenyu Na Na |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (X, 635 p. 258 illus., 204 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Artificial intelligence
Neural networks (Computer science) Computer vision Artificial Intelligence Mathematical Models of Cognitive Processes and Neural Networks Computer Vision Intel·ligència artificial Xarxes neuronals (Informàtica) Visió per ordinador |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-9975-45-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Research on Deep Learning Operator Testing of Intelligent Software Based on Fuzz Testing Technology -- 1 Overview -- 2 Deep Learning Framework and Operator Library -- 3 Deep Learning Operator Testing -- 3.1 Problems and Cause Analysis of the Accuracy of Deep Learning Operators -- 3.2 Differential Testing -- 3.3 Guided Fuzz Testing -- 4 Testing Design of Deep Learning Operator Based on Differential Fuzz Testing -- 5 Summary and Outlook -- References -- Computer Aided System Design for Handwriting Identification Based on Imaging -- 1 Introduction -- 2 Dataset Establishment and System Design -- 2.1 Dataset -- 2.2 Model -- 3 Experiment and Result Analysis -- 4 Conclusion -- References -- Dynamic Optimization Deployment of Wireless Sensor Networks Based on TPWRLS Graph Construction and VFA -- 1 Introduction -- 2 Mobile Node Selection Based on TPWRLS Graph Construction -- 2.1 TPWRLS Graph Construction -- 2.2 Mobile Node Selection -- 3 Node Movement Based on VFA -- 3.1 VFA -- 3.2 Standard for Evaluation -- 4 Experiment and Analysis -- 4.1 Experiment on Selecting the Number of Mobile Nodes -- 4.2 Iterative Experiment of VFA -- 5 Conclusion -- References -- Research Review on Application of Genetic Algorithms for Multi-Objective Optimal Management of Building Construction -- 1 Introduction -- 2 Emergence and Application of Genetic Algorithms -- 2.1 Emergence of Genetic Algorithms -- 2.2 Research Timeline -- 2.3 Multi-Objective Optimal Management -- 2.4 Parameter Coding Methods -- 3 Summary -- References -- AgsNet: An Attention-Guided Lightweight Segmentation Network -- 1 Introduction -- 2 Materials and Method -- 2.1 Research Subjects -- 2.2 Proposed Model -- 2.3 Bayesian Classifier -- 2.4 Attention Mechanism -- 3 Experiment -- 3.1 Data Preprocessing and Augmentation -- 3.2 Implementation Details -- 3.3 Results -- 3.4 Conclusion.
References -- A TDOA-Based Optimization Method for Staircase Area Positioning -- 1 Introduction -- 2 Base Station Deployment in the Staircase Area -- 3 The Method of Stair Area Localization Based on TDOA Algorithm -- 4 Conclusion -- References -- Design and Implementation of Intelligent Classified Garbage Bin -- 1 Introduction -- 2 Garbage Classification Recognition -- 2.1 Introduction to GhostNet -- 2.2 Transfer Learning for Recognition Model Training -- 2.3 Preparation of Datasets -- 2.4 Training and Result Analysis -- 3 Hardware Connection and Implementation -- 3.1 System Design Goals -- 4 GUI Design -- 4.1 Boot Interface -- 4.2 Main Interface -- 4.3 Detection Interface -- 5 Summary -- References -- Knowledge-Enhanced Recommendation System Design for Mechatronics IoT Cloud Platform -- 1 Introduction -- 2 Related Work -- 2.1 Internet of Things -- 2.2 Cloud Technology -- 2.3 Knowledge Graph -- 3 Mechatronics Internet of Things Cloud Service System Design -- 3.1 Mechatronics Internet of Things Cloud Service Platform Architecture -- 3.2 Knowledge-Enhanced Platform Recommendation Algorithm Service -- 4 Key Technologies -- 4.1 Platform Service Mode Based on Cloud Technology -- 4.2 Scene Analysis and Object Relationship Prediction -- 4.3 Multi-hop Cross-Modal Attention Layer -- 4.4 Experimental Result -- 5 Conclusion -- References -- Aspect-Level Sentiment Analysis by Fusing Local Information with Graph Attention Networks -- 1 Introduction -- 2 LSI-RGAT Network Model Construction -- 2.1 Word Embedding Layer -- 2.2 Syntax-Aware Layer -- 3 Experiment -- 3.1 Data Set and Experimental Setup -- 3.2 Analysis of Experimental Results -- 4 Conclusion -- References -- Image Segmentation Algorithm Based on Improved U-Net for Mineral Froth Flotation Process -- 1 Introduction -- 2 Proposed Method -- 2.1 Attention Module -- 2.2 ASPP Head -- 3 Experiments and Analysis. 3.1 Datasets and Experiment Setup Details -- 3.2 Evaluation Criteria -- 3.3 Comparison with SOTA Works -- 4 Conclusion -- References -- Automatic Summarization Research for Long Texts Targeting Think Tanks -- 1 Introduction -- 2 Literature Review -- 2.1 Extractive Summarization -- 2.2 Abstractive Summarization -- 3 Dataset -- 4 Method -- 4.1 Candidate Sentence Extraction Module -- 4.2 Pre-trained Generation Module -- 4.3 Beam Search Module -- 4.4 AELoss -- 5 Experiments and Analysis of Results -- 5.1 Experimental Design -- 5.2 Comparative Experiment -- 5.3 Analysis of Experimental Results -- 6 Conclusion -- References -- Research on Semantic Segmentation Algorithm for Autonomous Driving Based on Improved DeepLabv3+ -- 1 Introduction -- 2 RS-DeepLab Model -- 2.1 Model Network Structure -- 2.2 Backbone Network -- 2.3 ARMS Architecture -- 2.4 FFMS Architecture -- 3 Experiment and Analysis -- 3.1 Experimental Configuration -- 3.2 Evaluation Metrics -- 3.3 Model Segmentation Results -- 3.4 Model Improvement Experiment -- 4 Conclusion -- References -- Joint Security Protection and Transmission Delay Scheduling Scheme of Voice Switching Network -- 1 Introduction -- 2 System Model -- 2.1 Encryption -- 2.2 System Architecture -- 2.3 Constraints -- 2.4 Delay Formulation -- 3 Mechanism Model -- 3.1 Encryption -- 3.2 Adjust HTS Flows Sampling Period -- 3.3 AVB Flows Planning -- 4 Simulations and Results -- 4.1 Experimental Data -- 4.2 Analysis -- 5 Conclusion -- References -- Subway Tunnel Segment Disease Detection System Based on Machine Vision Technology -- 1 Introduction -- 2 Overall Design -- 3 Hardware System Design -- 3.1 Line Scan Integrated Camera Device -- 3.2 Image Acquisition Card -- 3.3 Industrial Computer -- 4 Software System Design -- 5 Experimental Results -- 6 Conclusions -- References. Device-Free Cross-Environment Human Action Recognition Using Wi-Fi Signals -- 1 Introduction -- 2 Methodology -- 2.1 Overview -- 2.2 Data Preprocessing -- 2.3 Action Recognition -- 3 IMPLEMENTATION and EVALUATION -- 3.1 Experimental Setup -- 3.2 Evaluation -- 4 Conclusion -- References -- The Performance Analysis of Double Intelligent Reflecting Surface-Assisted Cognitive Radio Network -- 1 Introduction -- 2 System Model and Problem Formulation -- 2.1 System Model -- 2.2 Problem Formulation -- 3 Proposed Solution to (P1) -- 3.1 Optimizing Transmit Beamforming -- 3.2 Optimizing the Reflection Coefficients -- 4 Summary of the AO Algorithm -- 5 Simulation Results -- 5.1 Simulation Scenario -- 5.2 Performance Evaluation -- 6 Conclusion -- References -- A Novel Point Cloud Completion Method Based on Height Map and Dual-Mask Images -- 1 Introduction -- 2 An Image Inpainting Method for Point Cloud Height Map Based on Dual-Mask Images -- 2.1 Acquisition of Point Cloud Height Map -- 2.2 Spatial Distribution Characteristics of Hollow Pixels -- 2.3 Dual-Mask Hole Filling Method for Pixel Completion -- 3 Experiment -- 4 Summary -- References -- Deep Learning for Skin Lesion Segmentation: A Review and Outlook -- 1 Introduction -- 1.1 Contribution of Current Work -- 2 Deep Learning Methods -- 2.1 Deep Neural Network Segmentation Architectures -- 2.2 Techniques for Skin Lesion Segmentation -- 3 Discussion and Outlook -- 3.1 Main Challenges -- 3.2 Trends in the Segmentation Methods -- 4 Conclusion -- References -- Research on Revenue Prediction of Automobile Manufacturing Enterprises -- 1 Introduction -- 2 Methodology -- 3 Experiment and Analysis -- 3.1 Industry Sales Prediction Based on RF and SARIMA -- 3.2 Enterprises Revenue Prediction Based on CNN -- 3.3 Benchmark Model-Based on Random Forest -- 4 Conclusion and Future Works -- References. Coal Mine Risk Classification Prediction Model Based on BERT -- 1 Introduction -- 2 System Model -- 2.1 Network Architectures -- 2.2 Design of the Loss Module -- 2.3 Design of the Save Module -- 3 Experiment and Analysis -- 3.1 Data Preparation -- 3.2 ALBERT Module -- 3.3 TextCNN Module -- 3.4 Fully Connected Layer -- 3.5 Output Labels -- 3.6 Experimental Results -- 4 Conclusion and Future Works -- 4.1 Conclusion -- 4.2 Future Works -- References -- Research on Construction and Application of Knowledge Graph for Coal Mine Safety Production Specifications -- 1 Introduction -- 2 Review of Literature -- 2.1 Coal Mine Safety Production Specifications -- 2.2 Knowledge Graph and Application -- 3 Knowledge Graph Construction -- 3.1 Data Description and Processing -- 3.2 Designing the Ontology Structure -- 3.3 Ontology Construction -- 3.4 Knowledge Extraction -- 3.5 Constructing the Graph -- 4 Application -- 4.1 Topic Analysis -- 4.2 Knowledge Association Analysis -- 5 Conclusion -- References -- A TMFV-Based Adaptive E-Learning System for Generating and Allocating Questions -- 1 Introduction -- 2 Methodology -- 2.1 Adaptation Module Framework -- 2.2 Adaptive Question Generation -- 2.3 Dynamic Knowledge Tracking -- 3 Experiments -- 3.1 Datasets -- 3.2 Results -- 4 Conclusions -- References -- MedFPNet: A Medical Image Segmentation Network Based on Fourier Transform -- 1 Introduction -- 2 Related Work -- 2.1 Convolutional Neural Networks (CNNs) -- 2.2 Fourier Transform -- 3 Method -- 3.1 Overall Model -- 3.2 The Coarse and the Fine Double Branches -- 3.3 Residual Amplitude Block, Residual Phase Block -- 4 Experiments and Results -- 4.1 Dataset and Experimental Details -- 4.2 Experimental Results -- 5 Conclusion -- References -- Image Classification Algorithm Based on Improved Soft Thresholding and Residual Network -- 1 Introduction. 2 ST-ResNet18 Model Structure. |
| Record Nr. | UNINA-9910845498603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks and Machine Learning – ICANN 2021 : 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part II / / edited by Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter
| Artificial Neural Networks and Machine Learning – ICANN 2021 : 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part II / / edited by Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (664 pages) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computer Vision Xarxes neuronals (Informàtica) Aprenentatge automàtic Intel·ligència artificial |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-86340-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computer vision and object detection -- Selective Multi-Scale Learning for Object Detection -- DRENet: Giving Full Scope to Detection and Regression-based Estimation for Video Crowd Counting -- Sisfrutos Papaya: a Dataset for Detection and Classification of Diseases in Papaya -- Faster-LTN: a neuro-symbolic, end-to-end object detection architecture -- GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd Counting -- Latent Feature-Aware and Local Structure-Preserving Network for 3D Completion from a single depth view -- Facial Expression Recognition by Expression-Specific Representation Swapping -- Iterative Error Removal for Time-of-Flight Depth Imaging -- Blurred Image Recognition: A Joint Motion Deblurring and Classification Loss-Aware Approach -- Learning How to Zoom in: Weakly Supervised ROI-based-DAM for Fine-Grained Visual Classification -- Convolutional neural networks and kernel methods -- (Input) Size Matters for CNN Classifiers -- Accelerating Depthwise Separable Convolutions with Vector Processor -- KCNet: Kernel-based Canonicalization Network for entities in Recruitment Domain -- Deep Unitary Convolutional Neural Networks -- Deep learning and optimization I -- DPWTE: A Deep Learning Approach to Survival Analysis using a Parsimonious Mixture of Weibull Distributions -- First-order and second-order variants of the gradient descent in a unified framework -- Bayesian optimization for backpropagation in Monte-Carlo tree search -- Growing Neural Networks Achieve Flatter Minima -- Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks -- Curved SDE-Net Leads to Better Generalization for Uncertainty Estimates of DNNs -- EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance -- Deep learning and optimization II -- Why Mixup Improves the Model Performance -- Mixup gamblers: Learning to abstain with auto-calibrated reward for mixed samples -- Non-Iterative Phase Retrieval With Cascaded Neural Networks -- Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training -- MMF: A loss extension for feature learning in open set recognition -- On the selection of loss functions under known weak label models -- Distributed and continual learning -- Bilevel Online Deep Learning in Non-stationary Environment -- A Blockchain Based Decentralized Gradient Aggregation Design for Federated Learning -- Continual Learning for Fake News Detection from Social Media -- Balanced Softmax Cross-Entropy for Incremental Learning -- Generalised Controller Design using Continual Learning -- DRILL: Dynamic Representations for Imbalanced Lifelong Learning -- Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning -- Explainable methods -- Spontaneous Symmetry Breaking in Data Visualization -- Deep NLP Explainer: Using Prediction Slope To Explain NLP Models -- Empirically explaining SGD from a line search perspective -- Towards Ontologically Explainable Classifiers -- Few-shot learning -- Leveraging the Feature Distribution in Transfer-based Few-Shot Learning -- One-Shot Meta-Learning for Radar-Based Gesture Sequences Recognition -- Few-Shot Learning With Random Erasing and Task-Relevant Feature Transforming -- Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge -- Better Few-shot Text Classification with Pre-trained Language Model -- Generative adversarial networks -- Leveraging GANs via Non-local Features -- On Mode Collapse in Generative Adversarial Networks -- Image Inpainting Using Wasserstein Generative Adversarial Imputation Network -- COViT-GAN: Vision Transformer for COVID-19 Detection in CT Scan Images with Self-Attention GAN for Data Augmentation -- PhonicsGAN: Synthesizing Graphical Videos from Phonics Songs -- A Progressive Image Inpainting Algorithm with a Mask Auto-update Branch -- Hybrid Generative Models for Two-Dimensional Datasets -- Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and Distilling -- . |
| Record Nr. | UNINA-9910503005303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
