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Advances in Neural Networks - ISNN 2006 [[electronic resource] ] : Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I / / edited by Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Yin Hujun
Advances in Neural Networks - ISNN 2006 [[electronic resource] ] : Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I / / edited by Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Yin Hujun
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (CXXXIV, 1444 p.)
Disciplina 006.3/2
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer science
Computer networks
Algorithms
Computer science—Mathematics
Discrete mathematics
Pattern recognition systems
Artificial Intelligence
Theory of Computation
Computer Communication Networks
Discrete Mathematics in Computer Science
Automated Pattern Recognition
ISBN 3-540-34440-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Neurobiological Analysis -- Theoretical Analysis -- Neurodynamic Optimization -- Learning Algorithms -- Model Design -- Kernel Methods -- ICA and BSS -- Data Preprocessing.
Record Nr. UNISA-996465903003316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks - ISNN 2006 [[electronic resource] ] : Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III / / edited by Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Yin Hujun
Advances in Neural Networks - ISNN 2006 [[electronic resource] ] : Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III / / edited by Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Yin Hujun
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (XXIX, 1402 p.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer science
Computer networks
Algorithms
Computer science—Mathematics
Discrete mathematics
Pattern recognition systems
Artificial Intelligence
Theory of Computation
Computer Communication Networks
Discrete Mathematics in Computer Science
Automated Pattern Recognition
ISBN 3-540-34483-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Transportation Systems -- Communication Networks -- Information Security -- Fault Detection -- Financial Analysis -- Neuroinformatics -- Bioinformatics -- Biomedical Applications -- Industrial Applications -- Other Applications -- Hardware Implementation.
Record Nr. UNISA-996465915503316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks - ISNN 2006 [[electronic resource] ] : Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II / / edited by Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Yin Hujun
Advances in Neural Networks - ISNN 2006 [[electronic resource] ] : Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II / / edited by Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Yin Hujun
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (LVI, 1443 p.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer science
Computer networks
Algorithms
Computer science—Mathematics
Discrete mathematics
Pattern recognition systems
Artificial Intelligence
Theory of Computation
Computer Communication Networks
Discrete Mathematics in Computer Science
Automated Pattern Recognition
ISBN 3-540-34438-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pattern Classification -- Computer Vision -- Image Processing -- Signal Processing -- System Modeling -- Control Systems -- Robotic Systems -- Power Systems.
Record Nr. UNISA-996465896803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (578 pages)
Disciplina 006.3
Altri autori (Persone) SchererRafał
KorytkowskiMarcin
PedryczWitold
TadeusiewiczRyszard
ZuradaJacek M
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computer networks
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031843563
3031843568
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- I Evolutionary Algorithms and Their Applications. -- MI-DAUKF for Co-Estimation of SOC and SOH in Lithium-ion Batteries. -- Hybridising Genetic Programming Variants for Regression. -- Evolving Velocity Equations for Particle Swarm Optimisation for Function Approximation. -- A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions. -- Cartesian Genetic Programming with a Modified Selection Operator for Combinational Circuit Design: Arithmetic Multipliers and Adders. -- Automated Design of Multilevel Thresholding using Differential Evolution. -- II Artificial Intelligence in Modeling and Simulation. -- AI-based IoT System for Energy Forecasting and Load Management in Smart Grid. -- Learning Optimal Bidding Strategies in All-Pay Auctions. -- On Handling AI Tasks in CPU with Low Latency and High Performance. -- Utilizing Evolutionary Algorithms for the Synthesis of Cryptographic Substitution Patterns. -- Advanced Steganography in 3D Models: An AI-Powered Approach. -- A Novel Approach to Cancelable Biometrics through Deep Learning Distortion Metrics. -- More individualized survival function estimation using training data clustering. -- Automated Typographic Font Generation Using Artificial Intelligence. -- Model of generative adversarial neural network for font style generation within the original style. -- Eigenmaps - modified PCA-based approach for dimensionality reduction of multivariate time series of geospatial data. -- Evaluation of Dermatological Asymmetry Measure of Shape by Expectation-Maximization. -- Embedding Non-Distortive Cancelable Face Template Generation. -- III Computer Vision, Image and Speech Analysis. -- Dimensionality reduction in multicepstral features for voice spoofing detection: case studies with singular value decomposition, genetic algorithm, and auto-encoder. -- InpaintLocalizer: Detection and Localization of Inpainting Generated by Diffusion-based Machine Learning Models. -- Combining Audio and Image Sequence for Video Moment Retrieval by Natural Language. -- Robust Scale Estimation System for Monocular Mobile Robots using Beacon-based Structure from Motion. -- Explainable Recognition System for Computer-Modified Face Photos. -- Implementing call bots: An architectural guide. -- Identification of mislabelled images with data augmentation. -- Viscosity Estimation in Water-PVP Solutions Through Droplet Image Analysis Using a MobileNet-Enhanced CNN. -- Dynamic Layer Extraction for Floor Plan Generation from Point Clouds. -- Bleeding detection in medical images based on correlation fractional dimension adaptive thresholding. -- Knee or ROC. -- Enhanced Dermatological Asymmetry Measure of Skin Lesions using PCA Method. -- Transformer Based Semantic Segmentation Network for Medical Imaging Application.
Record Nr. UNINA-9910983079203321
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (568 pages)
Disciplina 006.3
Altri autori (Persone) SchererRafał
KorytkowskiMarcin
PedryczWitold
TadeusiewiczRyszard
ZuradaJacek M
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computer networks
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031843532
3031843533
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Neural Networks and Their Applications. -- Evaluating Neural Network Models for Accurate Prediction of Network Traffic Load. -- Practical considerations in implementing neural network training with vector instructions. -- Utilizing Pointer Generator Network for Vietnamese Spelling Error Correction. -- Assessing generalization capability of text ranking models in Polish. -- Advancing GDPR Adherence: Leveraging Generative AI for In-Depth Privacy Policy Analysis in Android Apps. -- Speedup of training deep neural networks in the streaming approach using genetic algorithms with an application of drift detection. -- The Use of Synthetic Data in the Development of a Webshop User Profiling System. -- Fuzzy Hyperplane based Least Squares K-SVCR with Its Applications to Stock Trend Classification. -- Stock Movement Prediction by Using a Multi-Tasks Multi-Kernel Fuzzy Support Vector Machine with Parametric Margin. -- Graph-based Dialog Structure Modeling. -- Distracted driver recognition using CNN with dual self-attention module. -- Complex-Valued Restricted Boltzmann Machines for Learning Image Data Distributions. -- On Method of Training of LSTM Neural Network Based on Stability Conditions. -- Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Drone Engine Failures Detection. -- Researching ML Algorithms for Predicting FHB in Corn: A Case Study in Dnipro Region of Ukraine. -- Investigating HuBERT-based Speech Emotion Recognition Generalisation Capability. -- Comparison of Hyperparameter Tuning Optimization Methods for LSTM and Stock Price Prediction. -- Detecting and Warning Duplicate Job Postings on Job Portals. -- Randomness Versus Backpropagation in Machine Learning . -- Using BERT to Generate Contextualised Textual Images for Sentiment Analysis. -- Personality of AI. -- Crossing the Divide: Designing Layers of Explainability. -- Pattern Classification. -- Empowering Intelligent Database Systems Using an Adaptive Recommendation Algorithm. -- Hancrafted vs. Non-handcrafted features for acoustic scene classification. -- Effective High Utility Itemsets Mining Algorithm for Incremental Databases. -- Machine Learning for Gesture Recognition using Leap Motion Controller. -- Sun Magnetogram Search by Circle Sector Histograms and LSH. -- Enhancing Semantic Search through Domain Adaptation: A Case Study on the Mobifone News Dataset. -- Improving Anomaly Detection Methods Through Attribute Exclusion Using Isolation Forest. -- Classifier Ensemble Learning using Discrete Optimization. -- Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. -- An Efficient Clique-based Level-wise Search Algorithm for Spatial Prevalent Co-location Pattern Mining.
Record Nr. UNINA-9910983035703321
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part III / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part III / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (581 pages)
Disciplina 006.3
Altri autori (Persone) SchererRafał
KorytkowskiMarcin
PedryczWitold
TadeusiewiczRyszard
ZuradaJacek M
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computer networks
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031815966
3031815963
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Various Problems of Artificial Intelligence. -- Agent-Based Model for Field Service Management. -- Evaluating policy effectiveness to enhance smart farming technologies adoption using fuzzy logic and Sugeno integral. -- Functional based fuzzy logic query library. -- Automatic Program Assessment, Grading and Code Generation: Possible AI-Support in a Software Development Course. -- Computer Network User Profiling using Firewall Logs and ANFIS-based Hybrid Systems. -- Different Approaches for Customer Lifetime Value in e-Book Subscription Domain. -- Tweeting on an Empty Stomach: Unpacking Food Price Hikes and Inflation via Twitter. -- Memory Augmented Multi-Agent Reinforcement Learning for Cooperative Environment. -- The use of fuzzy sets in the classification of metagenomic data. -- Speech deepfake recognition with data-efficient vision transformers. -- Explainable Cubic Attention-based Autoencoder for Skin Cancer Classification. -- A Study of Classifiers for Marking Short Answers in Intelligent Tutoring Systems. -- Ontology-based rare disease database integration - practical issues and challenges. -- A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models PreTraining. -- A Hybrid Approach towards Vertical Handover in 5G Networks using Genetic Neuro-Fuzzy Controller. -- Swarm Optimization for Enhanced Random Forest-Based IoT Security. -- PV solar power forecasting using a subset of characteristic features selected by AI methods. -- Pain intensity assessment using Recurrent Neural Networks. -- Improving YOLOv8: An Algorithm Based on EfficientRepHead and BIFPN. -- T-REX: Trustworthy and Reliable EXplainability Framework. -- Bioinformatics, Biometrics and Medical Applications. -- Multi-Label Long-Tailed Disease Recognition on Chest X-ray Images. -- Myo-to-Gesture: Evolving AI-Based Innovations in Myoelectric Signal Processing – State-of-the-Art Survey and Research Proposal. -- A new image enhancement-based framework for spoofing detection in ear-based biometric authentication systems. -- From Omics Data to Candidate Genes: An Innovative Machine Learning Approach for Biomarker Identification. -- Machine Learning-Based Tool for Efficient Discrimination Between Deleterious and Neutral Missense Mutations. -- Classification of cardiac arrhythmias using 1D and 2D convolutional neural networks. -- Can algorithms used in automatic preprocessing affect the final value of brain volume? - preliminary study. -- Pupil Constrictions and Dilations Effects as Data Augmentation on an Iris Recognition CNN Approach. -- Breaking the Mold: ViT-CNN Fusion for Enhanced Glaucoma Prediction in OCT Images. -- Positioning the Reconstruction Plane for a Statistical Iterative Reconstruction Algorithm with Rebinning in CT Scanners with a Flying Focal Spot. -- Biometric iris authentication using a segmentation network with attention and a key-points detection algorithm. -- Polyps Segmentation in Colonoscopy Images using SegFormer Transformer. -- Wavelet feature extraction for dermoscopy images by tree-like wrappers.
Record Nr. UNINA-9910983066903321
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (578 pages)
Disciplina 006.3
Altri autori (Persone) SchererRafał
KorytkowskiMarcin
PedryczWitold
TadeusiewiczRyszard
ZuradaJacek M
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computer networks
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031843563
3031843568
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- I Evolutionary Algorithms and Their Applications. -- MI-DAUKF for Co-Estimation of SOC and SOH in Lithium-ion Batteries. -- Hybridising Genetic Programming Variants for Regression. -- Evolving Velocity Equations for Particle Swarm Optimisation for Function Approximation. -- A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions. -- Cartesian Genetic Programming with a Modified Selection Operator for Combinational Circuit Design: Arithmetic Multipliers and Adders. -- Automated Design of Multilevel Thresholding using Differential Evolution. -- II Artificial Intelligence in Modeling and Simulation. -- AI-based IoT System for Energy Forecasting and Load Management in Smart Grid. -- Learning Optimal Bidding Strategies in All-Pay Auctions. -- On Handling AI Tasks in CPU with Low Latency and High Performance. -- Utilizing Evolutionary Algorithms for the Synthesis of Cryptographic Substitution Patterns. -- Advanced Steganography in 3D Models: An AI-Powered Approach. -- A Novel Approach to Cancelable Biometrics through Deep Learning Distortion Metrics. -- More individualized survival function estimation using training data clustering. -- Automated Typographic Font Generation Using Artificial Intelligence. -- Model of generative adversarial neural network for font style generation within the original style. -- Eigenmaps - modified PCA-based approach for dimensionality reduction of multivariate time series of geospatial data. -- Evaluation of Dermatological Asymmetry Measure of Shape by Expectation-Maximization. -- Embedding Non-Distortive Cancelable Face Template Generation. -- III Computer Vision, Image and Speech Analysis. -- Dimensionality reduction in multicepstral features for voice spoofing detection: case studies with singular value decomposition, genetic algorithm, and auto-encoder. -- InpaintLocalizer: Detection and Localization of Inpainting Generated by Diffusion-based Machine Learning Models. -- Combining Audio and Image Sequence for Video Moment Retrieval by Natural Language. -- Robust Scale Estimation System for Monocular Mobile Robots using Beacon-based Structure from Motion. -- Explainable Recognition System for Computer-Modified Face Photos. -- Implementing call bots: An architectural guide. -- Identification of mislabelled images with data augmentation. -- Viscosity Estimation in Water-PVP Solutions Through Droplet Image Analysis Using a MobileNet-Enhanced CNN. -- Dynamic Layer Extraction for Floor Plan Generation from Point Clouds. -- Bleeding detection in medical images based on correlation fractional dimension adaptive thresholding. -- Knee or ROC. -- Enhanced Dermatological Asymmetry Measure of Skin Lesions using PCA Method. -- Transformer Based Semantic Segmentation Network for Medical Imaging Application.
Record Nr. UNISA-996647865203316
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part III / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part III / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (581 pages)
Disciplina 006.3
Altri autori (Persone) SchererRafał
KorytkowskiMarcin
PedryczWitold
TadeusiewiczRyszard
ZuradaJacek M
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computer networks
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031815966
3031815963
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Various Problems of Artificial Intelligence. -- Agent-Based Model for Field Service Management. -- Evaluating policy effectiveness to enhance smart farming technologies adoption using fuzzy logic and Sugeno integral. -- Functional based fuzzy logic query library. -- Automatic Program Assessment, Grading and Code Generation: Possible AI-Support in a Software Development Course. -- Computer Network User Profiling using Firewall Logs and ANFIS-based Hybrid Systems. -- Different Approaches for Customer Lifetime Value in e-Book Subscription Domain. -- Tweeting on an Empty Stomach: Unpacking Food Price Hikes and Inflation via Twitter. -- Memory Augmented Multi-Agent Reinforcement Learning for Cooperative Environment. -- The use of fuzzy sets in the classification of metagenomic data. -- Speech deepfake recognition with data-efficient vision transformers. -- Explainable Cubic Attention-based Autoencoder for Skin Cancer Classification. -- A Study of Classifiers for Marking Short Answers in Intelligent Tutoring Systems. -- Ontology-based rare disease database integration - practical issues and challenges. -- A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models PreTraining. -- A Hybrid Approach towards Vertical Handover in 5G Networks using Genetic Neuro-Fuzzy Controller. -- Swarm Optimization for Enhanced Random Forest-Based IoT Security. -- PV solar power forecasting using a subset of characteristic features selected by AI methods. -- Pain intensity assessment using Recurrent Neural Networks. -- Improving YOLOv8: An Algorithm Based on EfficientRepHead and BIFPN. -- T-REX: Trustworthy and Reliable EXplainability Framework. -- Bioinformatics, Biometrics and Medical Applications. -- Multi-Label Long-Tailed Disease Recognition on Chest X-ray Images. -- Myo-to-Gesture: Evolving AI-Based Innovations in Myoelectric Signal Processing – State-of-the-Art Survey and Research Proposal. -- A new image enhancement-based framework for spoofing detection in ear-based biometric authentication systems. -- From Omics Data to Candidate Genes: An Innovative Machine Learning Approach for Biomarker Identification. -- Machine Learning-Based Tool for Efficient Discrimination Between Deleterious and Neutral Missense Mutations. -- Classification of cardiac arrhythmias using 1D and 2D convolutional neural networks. -- Can algorithms used in automatic preprocessing affect the final value of brain volume? - preliminary study. -- Pupil Constrictions and Dilations Effects as Data Augmentation on an Iris Recognition CNN Approach. -- Breaking the Mold: ViT-CNN Fusion for Enhanced Glaucoma Prediction in OCT Images. -- Positioning the Reconstruction Plane for a Statistical Iterative Reconstruction Algorithm with Rebinning in CT Scanners with a Flying Focal Spot. -- Biometric iris authentication using a segmentation network with attention and a key-points detection algorithm. -- Polyps Segmentation in Colonoscopy Images using SegFormer Transformer. -- Wavelet feature extraction for dermoscopy images by tree-like wrappers.
Record Nr. UNISA-996647869303316
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (568 pages)
Disciplina 006.3
Altri autori (Persone) SchererRafał
KorytkowskiMarcin
PedryczWitold
TadeusiewiczRyszard
ZuradaJacek M
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computer networks
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031843532
3031843533
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Neural Networks and Their Applications. -- Evaluating Neural Network Models for Accurate Prediction of Network Traffic Load. -- Practical considerations in implementing neural network training with vector instructions. -- Utilizing Pointer Generator Network for Vietnamese Spelling Error Correction. -- Assessing generalization capability of text ranking models in Polish. -- Advancing GDPR Adherence: Leveraging Generative AI for In-Depth Privacy Policy Analysis in Android Apps. -- Speedup of training deep neural networks in the streaming approach using genetic algorithms with an application of drift detection. -- The Use of Synthetic Data in the Development of a Webshop User Profiling System. -- Fuzzy Hyperplane based Least Squares K-SVCR with Its Applications to Stock Trend Classification. -- Stock Movement Prediction by Using a Multi-Tasks Multi-Kernel Fuzzy Support Vector Machine with Parametric Margin. -- Graph-based Dialog Structure Modeling. -- Distracted driver recognition using CNN with dual self-attention module. -- Complex-Valued Restricted Boltzmann Machines for Learning Image Data Distributions. -- On Method of Training of LSTM Neural Network Based on Stability Conditions. -- Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Drone Engine Failures Detection. -- Researching ML Algorithms for Predicting FHB in Corn: A Case Study in Dnipro Region of Ukraine. -- Investigating HuBERT-based Speech Emotion Recognition Generalisation Capability. -- Comparison of Hyperparameter Tuning Optimization Methods for LSTM and Stock Price Prediction. -- Detecting and Warning Duplicate Job Postings on Job Portals. -- Randomness Versus Backpropagation in Machine Learning . -- Using BERT to Generate Contextualised Textual Images for Sentiment Analysis. -- Personality of AI. -- Crossing the Divide: Designing Layers of Explainability. -- Pattern Classification. -- Empowering Intelligent Database Systems Using an Adaptive Recommendation Algorithm. -- Hancrafted vs. Non-handcrafted features for acoustic scene classification. -- Effective High Utility Itemsets Mining Algorithm for Incremental Databases. -- Machine Learning for Gesture Recognition using Leap Motion Controller. -- Sun Magnetogram Search by Circle Sector Histograms and LSH. -- Enhancing Semantic Search through Domain Adaptation: A Case Study on the Mobifone News Dataset. -- Improving Anomaly Detection Methods Through Attribute Exclusion Using Isolation Forest. -- Classifier Ensemble Learning using Discrete Optimization. -- Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. -- An Efficient Clique-based Level-wise Search Algorithm for Spatial Prevalent Co-location Pattern Mining.
Record Nr. UNISA-996647868503316
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing [[electronic resource] ] : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing [[electronic resource] ] : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (430 pages)
Disciplina 006.3
Altri autori (Persone) SchererRafał
KorytkowskiMarcin
PedryczWitold
TadeusiewiczRyszard
ZuradaJacek M
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computer networks
Social sciences - Data processing
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer Application in Social and Behavioral Sciences
Computers and Education
ISBN 3-031-42508-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computer Vision, Image and Speech Analysis -- A novel ConvMixer transformer based architecture for violent behavior detection -- Speech Emotion Recognition: Recent Advances and Current Trends -- A Smartphone-Based Computer Vision Assistance System with Neural Network Depth Estimation for the Visually Impaired -- Hybrid Learning Model for Satellite Forest Image Segmentation -- Adaptive Pruning for Multi-Head Self-Attention -- Fast Visual Imperfection Detection When Real Negative Examples are Unavailable -- Vision-Based Mobile Robots Control Along a Given Trajectory -- Text Guided Facial Image Synthesis using StyleGAN and Variational Autoencoder trained CLIP -- Application of object detection models for the detection of kitchen furniture - A comparison -- Support Learning Vovinam Exercises based on Computer Vision -- Semantic Segmentation Neural Network in Automatic Weapon Detection -- Various Problems of Artificial Intelligence -- An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences -- Monte Carlo Tree Search with metaheuristics -- Phishing Attack Detection: An Improved Performance through Ensemble Learning -- Removing Ambiguity in Natural Language for Generating Self Join Queries -- Predicting Churn Rate in Companies -- Training set preparation for deep model learning inpatients with ischemic brain lesions and gender identity disorder -- From Simulated to Real Environments: Q-Learning for MAZENavigation of a TurtleBot -- Bioinformatics, Biometrics and Medical Applications -- 3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields -- Exploring target identification with K-nearest neighbors’ algorithm -- Computational models for COVID-19 dynamics prediction -- Electrochemical Biosensor Design through Data-Driven Modeling incorporating Meta-analysis and Big Data workflow -- A new method of verification of dynamic signatures changing over time with decomposition and selection of characteristic descriptors -- Impact of the pre-processing and balancing of EEG data on the performance of graph neural network for epileptic seizure classification -- A new rebinning reconstruction method for the low dose CT scanners with flying focal spot -- Data Mining and Pateern Classification -- Advancing Singular Value Decomposition Techniques for Enhanced Data Mining in Recommender Systems -- An experimental analysis on mapping strategies for cepstral coefficients multi-projection in voice spoofing detection problem -- Mining Correlated High-Utility Itemsets using the Cosine Measure -- Bayesian Inference in Infinite Multivariate McDonald’s Beta Mixture model -- Cannabis Use Estimators within Canadian Population using Social Media Based on Deep Learning Tools -- On the Bayesian interpretation of penalized statistical estimators -- Synthetic Data for Feature Selection -- ML Support For Conformity Checks in CMDB-Like Databases -- An Improvement of Graph Neural Network for Multi-behavior Recommendation -- Binary Matrix Factorization Discretization -- Combining linear classifiers using score function based on distance to decision boundar.
Record Nr. UNISA-996550558603316
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
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