Modern telemetry / / edited by Ondrej Krejcar
| Modern telemetry / / edited by Ondrej Krejcar |
| Pubbl/distr/stampa | Rijeka, Croatia : , : InTech, , [2011] |
| Descrizione fisica | 1 online resource (482 pages) : illustrations |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| ISBN | 953-51-5556-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910137723803321 |
| Rijeka, Croatia : , : InTech, , [2011] | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Data, Electronics and Computing : ICDEC 2023, Volume 1 / / edited by Nibaran Das, Ajoy Kumar Khan, Swagata Mandal, Ondrej Krejcar, Debotosh Bhattacharjee
| Proceedings of International Conference on Data, Electronics and Computing : ICDEC 2023, Volume 1 / / edited by Nibaran Das, Ajoy Kumar Khan, Swagata Mandal, Ondrej Krejcar, Debotosh Bhattacharjee |
| Autore | Das Nibaran |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (547 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KhanAjoy Kumar
MandalSwagata KrejcarOndrej BhattacharjeeDebotosh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Internet of things Computer networks Wireless communication systems Mobile communication systems Artificial intelligence - Data processing Computational Intelligence Artificial Intelligence Internet of Things Computer Networks Wireless and Mobile Communication Data Science |
| ISBN |
9789819784769
981978476X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910984586203321 |
Das Nibaran
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Data, Electronics and Computing : ICDEC 2023, Volume 2 / / edited by Nibaran Das, Ajoy Kumar Khan, Swagata Mandal, Ondrej Krejcar, Debotosh Bhattacharjee
| Proceedings of International Conference on Data, Electronics and Computing : ICDEC 2023, Volume 2 / / edited by Nibaran Das, Ajoy Kumar Khan, Swagata Mandal, Ondrej Krejcar, Debotosh Bhattacharjee |
| Autore | Das Nibaran |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (407 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KhanAjoy Kumar
MandalSwagata KrejcarOndrej BhattacharjeeDebotosh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Internet of things Computer networks Wireless communication systems Mobile communication systems Quantitative research Computational Intelligence Artificial Intelligence Internet of Things Computer Networks Wireless and Mobile Communication Data Analysis and Big Data |
| ISBN |
9789819764891
9819764890 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Contents -- Editors and Contributors -- Video Indexing Through QR Code of Human Faces Using MTCNN Algorithm -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology and Function of Various Algorithms -- 3.1 Extracting Frame -- 3.2 Taking Out the Keyframe -- 3.3 Face Portraits from the Keyframes Were Cropped Using the MTCNN Algorithm -- 3.4 Using a Barcode as an Index and a QR Code -- 4 Experimental Results and Discussion -- 4.1 Experimental Setup -- 4.2 Comparative Tactics -- 5 Conclusion -- References -- NVF and CSF Based Image Watermarking Using SVD and Contourlet Transform -- 1 Introduction -- 2 PDFB Based Contourlet Transform -- 3 Noise Visibility Function and Contrast Sensitivity Function -- 4 Watermarking Methodology -- 5 Results and Discussion -- 6 Conclusion -- References -- Nanomaterials for Biosensing Applications -- 1 Introduction -- 2 Working Principle -- 3 Basic Characteristics -- 4 Materials for Biosensors -- 5 Conclusion |
| Record Nr. | UNINA-9910896182603321 |
Das Nibaran
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Data, Electronics and Computing : ICDEC 2022 / / edited by Nibaran Das, Juwesh Binong, Ondrej Krejcar, Debotosh Bhattacharjee
| Proceedings of International Conference on Data, Electronics and Computing : ICDEC 2022 / / edited by Nibaran Das, Juwesh Binong, Ondrej Krejcar, Debotosh Bhattacharjee |
| Autore | Das Nibaran |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (485 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
BinongJuwesh
KrejcarOndrej BhattacharjeeDebotosh |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Internet of things Computer networks Wireless communication systems Mobile communication systems Artificial intelligence - Data processing Computational Intelligence Artificial Intelligence Internet of Things Computer Networks Wireless and Mobile Communication Data Science |
| ISBN |
9789819915095
9819915090 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Correlation Analysis of Stock Index Data Features using Sequential Rule Mining Algorithms -- A CRF-based POS tagging approach for Bishnupriya Manipuri language -- Text and Language independent classification of voice calling platforms using deep learning -- IFS: An Incremental Feature Selection Method to Classify High Dimensional Data -- Computer-Aided Identification of Loom Type of ethnic textile, the Gamusa, using Texture features and Random Forest Classifier. |
| Record Nr. | UNINA-9910766892803321 |
Das Nibaran
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart Sensor Technologies for IoT
| Smart Sensor Technologies for IoT |
| Autore | Brida Peter |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (270 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
5G
ACR bit repair (B-REP) Bluetooth classification clustering convolutional neural network data classification dead reckoning depth-based routing detection DRONET electromagnetic scanning energy-efficient failure repair Fast Reroute few-shot learning fingerprinting free space optics GNSS-RTK positioning H.264/AVC H.265/HEVC human activity recognition IMU indoor tracking Internet of Things internet of things (IoT) Internet of Things (IoT) IoT IoT system localization location-independent magnetometer MANET measurement meta learning metric learning mm-wave radars mobile localization Multicast Repair (M-REP) multilayered network model multiwavelength laser n/a optical code division multiple access (OCDMA) optical sensors particle filter point cloud position detection positioning pressure sensor QoE quality of service differentiation ReRoute smart sensor smart sensors subjective assessment traffic underwater wireless sensor network vehicle Velostat vibration sensing Wi-Fi Wi-Fi sensing wireless optical networks wireless technology WSN |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557599903321 |
Brida Peter
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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