Antenna Systems for Modern Wireless Devices / / by Shiban K. Koul, S. Swapna, G. S. Karthikeya |
Autore | Koul Shiban K |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (344 pages) |
Disciplina | 621 |
Altri autori (Persone) |
SwapnaS
KarthikeyaG. S |
Collana | Signals and Communication Technology |
Soggetto topico |
Physics
Wireless communication systems Mobile communication systems Microtechnology Microelectromechanical systems Telecommunication Signal processing Applied and Technical Physics Wireless and Mobile Communication Microsystems and MEMS Microwaves, RF Engineering and Optical Communications Signal, Speech and Image Processing |
ISBN | 981-9733-69-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | -- Introduction to WLAN. -- Pattern Diversity in WLAN Antennas. -- Beam Scanning Antennas. -- Antenna Gain Enhancement Techniques. -- Gain Enhancement Architectures with Pattern Diversity for WLAN. -- Two-port/ Three-port antennas for WLAN. -- Additively Manufactured Antennas for WLAN. -- Multi-port Antennas for WLAN. -- Wideband Antennas for WLAN. |
Record Nr. | UNINA-9910869173703321 |
Koul Shiban K
![]() |
||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Applications of Artificial Intelligence and Neural Systems to Data Science [[electronic resource] /] / edited by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero |
Autore | Esposito Anna |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (358 pages) |
Disciplina | 006.312 |
Altri autori (Persone) |
Faundez-ZanuyMarcos
MorabitoFrancesco Carlo PaseroEros |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico |
Telecommunication
Signal processing Artificial intelligence Neural networks (Computer science) User interfaces (Computer systems) Human-computer interaction Communications Engineering, Networks Signal, Speech and Image Processing Artificial Intelligence Mathematical Models of Cognitive Processes and Neural Networks User Interfaces and Human Computer Interaction |
ISBN | 981-9935-92-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture -- Graph Neural Networks for Topological Feature Extraction in ECG Classification -- Manifold Learning by a Deep Gaussian Process Variational Autoencoder -- Analysis of Sensors for Movement Analysis -- Dual Seep Clustering -- Learning-Based Approach to Predict Fatal Events in Brugada Syndrome -- Breast Cancer Localization and Classification in Mammograms Using YoloV5 -- Deep Acoustic Emission Detection Trained on Seismic Signals -- A Deep Learning Framework for the Classification of Pre-Prodromal and Prodromal Alzheimer’s Disease Using Resting-State EEG signals -- Imitation Learning Through Prior Injection in Markov Decision Processes -- Vision-Based Human Activity Recognition Methods Using Pose Estimation -- Identifying Exoplanets in TESS Data by Deep Learning -- Computational Intelligence for Marine Litter Recovery -- A Synthetic Dataset for Learning Optical Flow in Underwater Environment -- An Interpretable BERT-Based Architecture for SARS-CoV-2 Variant Identification. |
Record Nr. | UNINA-9910736977703321 |
Esposito Anna
![]() |
||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Applied Information Processing Systems [[electronic resource] ] : Proceedings of ICCET 2021 / / edited by Brijesh Iyer, Debashis Ghosh, Valentina Emilia Balas |
Autore | Iyer Brijesh |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (588 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
GhoshDebashis
BalasValentina Emilia |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Artificial intelligence Cloud Computing Signal processing Internet of things Computational Intelligence Artificial Intelligence Signal, Speech and Image Processing Internet of Things |
ISBN |
981-16-2007-5
981-16-2008-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. CNN parameter adjustment for brain tumor classification -- Chapter 2. Advance Fuzzy Radial Basis Function Neural Network -- Chapter 3. Unbounded Fuzzy Radial Basis Function Neural Network Classifier -- Chapter 4. A study on the adaptability of Deep Learning-based Polar coded NOMA in Ultra-Reliable Low-Latency Communication Scenario -- Chapter 5. Heart Rate Variability based Mental Stress Detection using Deep Learning Approach -- Chapter 6. Product Based Market Analysis using Deep Learning -- Chapter 7. Driver drowsiness detection using Deep-Learning Chapter 8. Emotion detection from social media-based using machine learning techniques: A Survey -- Chapter 9. Deep age estimation using sclera images in multiple environment -- Chapter 10. Data Handling Approach for Machine Learning in Wireless Communication: A Survey -- Chapter 11. Breast cancer detection in mammograms using deep learning -- Chapter 12. Deep learning based Parameterized Framework to investigate the influence of Pedagogical Innovations in Engineering Courses -- Chapter 13. Modern Transfer Learning based preliminary diagnosis of COVID-19 using forced cough recordings with Mel-frequency cepstral coefficients -- Chapter 14. Biomedical Text Summarization: A Graph Based Ranking Approach -- Chapter 15. EEG based Diagnosis of Alzheimer's Disease Using Kolmogorov Complexity. |
Record Nr. | UNINA-9910743265003321 |
Iyer Brijesh
![]() |
||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial Intelligence [[electronic resource] ] : Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22–23, 2023, Revised Selected Papers, Part II / / edited by Lu Fang, Jian Pei, Guangtao Zhai, Ruiping Wang |
Autore | Fang Lu |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (603 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
PeiJian
ZhaiGuangtao WangRuiping |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computer vision Computer engineering Computer networks Application software User interfaces (Computer systems) Human-computer interaction Signal processing Artificial Intelligence Computer Vision Computer Engineering and Networks Computer and Information Systems Applications User Interfaces and Human Computer Interaction Signal, Speech and Image Processing |
ISBN | 981-9991-19-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Computer Vision -- Data Mining -- Explainability, Understandability, and Verifiability of AI -- Natural Language Processing -- AI Ethics, Privacy, Fairness and Security -- AI Generated Content -- Applications of Artificial Intelligence -- Machine Learning -- Multidisciplinary Research with AI -- Other AI Related Topics -- Robotics. |
Record Nr. | UNINA-9910831013103321 |
Fang Lu
![]() |
||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial Intelligence and Machine Learning in Satellite Data Processing and Services [[electronic resource] ] : Proceedings of the International Conference on Small Satellites, ICSS 2022 / / edited by Sumit Kumar, Raj Setia, Kuldeep Singh |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (XII, 217 p. 109 illus., 93 illus. in color.) |
Disciplina | 621.382 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Telecommunication
Aerospace engineering Astronautics Artificial intelligence Control engineering Robotics Automation Signal processing Communications Engineering, Networks Aerospace Technology and Astronautics Artificial Intelligence Control, Robotics, Automation Signal, Speech and Image Processing |
ISBN | 981-19-7698-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Smart Small Satellites and Payloads -- 2. Communication Satellites -- 3. Space Craft Autonomy and Onboard AI -- 4. Constellation Management -- 5. Small Satellite Constellation Applications and Services -- 6. Space Law and Space Business. |
Record Nr. | UNINA-9910637716403321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial Intelligence and Smart Vehicles [[electronic resource] ] : First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers / / edited by Mehdi Ghatee, S. Mehdi Hashemi |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (230 pages) |
Disciplina | 670.28563 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Image processing - Digital techniques Computer vision Signal processing Computer networks Machine learning Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing Computer Communication Networks Machine Learning |
ISBN | 3-031-43763-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Local and Global Contextual Features Fusion for Pedestrian Intention Prediction -- Routes analysis and dependency detection based on traffic volume: a deep learning approach -- Road Sign Classification using Transfer Learning and Pre-Trained CNN Models -- Improving Safe Driving with Diabetic Retinopathy Detection -- A Bibliometric Analysis on Artificial Intelligence and Smart Vehicles -- Convolutional Neural Network and Long Short Term Memory on Inertial Measurement Unit sensors for Gait Phase Detection -- Real-time mobile mixed-character license plate recognition via deep learning convolutional neural network -- Evaluation of Drivers’ Hazard Perception in Simultaneous Longitudinal and Lateral Control of Vehicle Using a Driving Simulator -- Driver Identification by An Ensemble of CNNs Obtained from Majority-Voting Model Selection -- State-of-the-Art Analysis of the Performance of the Sensors Utilized in Autonomous Vehicles in Extreme Conditions -- Semantic Segmentation using Events and Combination of Events and Frames -- Deep learning-based concrete crack detection using YOLO architecture -- Generating Control Command for an Autonomous Vehicle Based on Environmental Information -- Fractal-Based Spatiotemporal Predictive Model for Car Crash Risk Assessment. |
Record Nr. | UNISA-996558570503316 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
Artificial Intelligence and Smart Vehicles : First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers / / edited by Mehdi Ghatee, S. Mehdi Hashemi |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (230 pages) |
Disciplina |
670.28563
629.046 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Image processing - Digital techniques Computer vision Signal processing Computer networks Machine learning Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing Computer Communication Networks Machine Learning |
ISBN | 3-031-43763-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Local and Global Contextual Features Fusion for Pedestrian Intention Prediction -- Routes analysis and dependency detection based on traffic volume: a deep learning approach -- Road Sign Classification using Transfer Learning and Pre-Trained CNN Models -- Improving Safe Driving with Diabetic Retinopathy Detection -- A Bibliometric Analysis on Artificial Intelligence and Smart Vehicles -- Convolutional Neural Network and Long Short Term Memory on Inertial Measurement Unit sensors for Gait Phase Detection -- Real-time mobile mixed-character license plate recognition via deep learning convolutional neural network -- Evaluation of Drivers’ Hazard Perception in Simultaneous Longitudinal and Lateral Control of Vehicle Using a Driving Simulator -- Driver Identification by An Ensemble of CNNs Obtained from Majority-Voting Model Selection -- State-of-the-Art Analysis of the Performance of the Sensors Utilized in Autonomous Vehicles in Extreme Conditions -- Semantic Segmentation using Events and Combination of Events and Frames -- Deep learning-based concrete crack detection using YOLO architecture -- Generating Control Command for an Autonomous Vehicle Based on Environmental Information -- Fractal-Based Spatiotemporal Predictive Model for Car Crash Risk Assessment. |
Record Nr. | UNINA-9910746969003321 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 13th International Conference, EvoMUSART 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings / / edited by Colin Johnson, Sérgio M. Rebelo, Iria Santos |
Autore | Johnson Colin |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (431 pages) |
Disciplina | 004.0151 |
Altri autori (Persone) |
RebeloSérgio M
SantosIria |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computer science
Machine learning Education - Data processing Signal processing Information storage and retrieval systems Computer vision Theory of Computation Machine Learning Computers and Education Signal, Speech and Image Processing Information Storage and Retrieval Computer Vision |
ISBN | 3-031-56992-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The Forest: Towards Emergent Collaborative Art Through Human Swarming -- Evoboard: Geoboard-inspired Evolved Typefonts -- Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation -- The Chordinator: Modeling Music Harmony By Implementing Transformer Networks and Token Strategies -- Deep Learning Approaches for Sung Vowel Classification -- Investigating the viability of Masked Language Modeling for symbolic music generation in abc-notation -- MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with Multi-Granular Features -- Weighted Initialisation of Evolutionary Instrument and Pitch Detection in Polyphonic Music -- Modelling individual aesthetic preferences of 3D sculptures -- Adaptation and Optimization of AugmentedNet for Roman Numeral Analysis Applied to Audio Signals -- Generating Smooth Mood-Dynamic Playlists with Audio Features and KNN -- Pruning Worlds into Stories: Affective Interactions as Fitness Function -- Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models -- Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs -- Co-creative orchestration of Angeles with layer scores and orchestration plans -- Evolving User Interfaces: A Neuroevolution Approach for Natural Human-Machine Interaction -- Evolving Visually-Diverse Graphic Design Posters -- No Longer Trending on Artstation: Prompt Analysis of Generative AI Art -- AI-Driven Meditation: Personalization for Inner Peace -- On the impact of directed mutation applied to Evolutionary 4-part harmony models -- Evaluation Metrics for Automated Typographic Poster Generation -- Enough is Enough: Learning to Stop in Generative Systems -- Generating emotional music based on improved C-RNN-GAN -- Building an Embodied Musicking Dataset for co-creative music-making -- PatternPortrait: Draw Me Like One of Your Scribbles -- MAP-Elites with Transverse Assessment for Multimodal Problems in Creative Domains. |
Record Nr. | UNISA-996589544703316 |
Johnson Colin
![]() |
||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 13th International Conference, EvoMUSART 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings / / edited by Colin Johnson, Sérgio M. Rebelo, Iria Santos |
Autore | Johnson Colin |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (431 pages) |
Disciplina | 004.0151 |
Altri autori (Persone) |
RebeloSérgio M
SantosIria |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computer science
Machine learning Education - Data processing Signal processing Information storage and retrieval systems Computer vision Theory of Computation Machine Learning Computers and Education Signal, Speech and Image Processing Information Storage and Retrieval Computer Vision |
ISBN | 3-031-56992-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The Forest: Towards Emergent Collaborative Art Through Human Swarming -- Evoboard: Geoboard-inspired Evolved Typefonts -- Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation -- The Chordinator: Modeling Music Harmony By Implementing Transformer Networks and Token Strategies -- Deep Learning Approaches for Sung Vowel Classification -- Investigating the viability of Masked Language Modeling for symbolic music generation in abc-notation -- MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with Multi-Granular Features -- Weighted Initialisation of Evolutionary Instrument and Pitch Detection in Polyphonic Music -- Modelling individual aesthetic preferences of 3D sculptures -- Adaptation and Optimization of AugmentedNet for Roman Numeral Analysis Applied to Audio Signals -- Generating Smooth Mood-Dynamic Playlists with Audio Features and KNN -- Pruning Worlds into Stories: Affective Interactions as Fitness Function -- Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models -- Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs -- Co-creative orchestration of Angeles with layer scores and orchestration plans -- Evolving User Interfaces: A Neuroevolution Approach for Natural Human-Machine Interaction -- Evolving Visually-Diverse Graphic Design Posters -- No Longer Trending on Artstation: Prompt Analysis of Generative AI Art -- AI-Driven Meditation: Personalization for Inner Peace -- On the impact of directed mutation applied to Evolutionary 4-part harmony models -- Evaluation Metrics for Automated Typographic Poster Generation -- Enough is Enough: Learning to Stop in Generative Systems -- Generating emotional music based on improved C-RNN-GAN -- Building an Embodied Musicking Dataset for co-creative music-making -- PatternPortrait: Draw Me Like One of Your Scribbles -- MAP-Elites with Transverse Assessment for Multimodal Problems in Creative Domains. |
Record Nr. | UNINA-9910847068303321 |
Johnson Colin
![]() |
||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (238 pages) : illustrations |
Disciplina | 005.11 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Computer networks Compilers (Computer programs) Image processing—Digital techniques Computer vision Signal processing Theory of Computation Computer Communication Networks Compilers and Interpreters Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing |
ISBN | 3-030-43859-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A deep learning neural network for classifying good and bad photos -- Adapting and Enhancing Evolutionary Art for Casual Creation -- Comparing Fuzzy Rule Based Approaches for Music Genre Classification -- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles -- Emerging Technology System Evolution -- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition -- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms -- Portraits of No One: An Interactive Installation -- Understanding Aesthetic Evaluation with Deep Learning -- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture -- Objective Evaluation of Tonal Fitness for Chord Progressions -- Coevolving Artistic Images Using OMNIREP -- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music -- Controlling Self-Organization in Generative Creative Systems -- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience. |
Record Nr. | UNISA-996418218203316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|