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_c398145 _d398145 _x1 |
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| 001 | 398145 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240429180339.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 230329s2023 si | o |||| 0|eng d | ||
| 020 | _a9789811984778 | ||
| 024 | 7 |
_a10.1007/978-981-19-8477-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9 .U83 _b2023 EB |
|
| 245 | 0 | 0 |
_aIntelligent Systems and Human Machine Collaboration : _bSelect Proceedings of ICISHMC 2022 _cedited by Siddhartha Bhattacharyya, Mario Koeppen, Debashis De, Vincenzo Piuri |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aSingapore _bSpringer Nature _c2023 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 0 |
_aLecture Notes in Electrical Engineering _x1876-1119 _v985 |
|
| 505 | 0 | _aLandmark identification from low-resolution real-time image pose estimation -- BLUEBOT - A Bluetooth Controlled Robot for Deciding Human Intervention based on the Environment check -- Nirbhaya Naari: An Artificial Intelligence tool for detection of crime against Women -- A Clinical Decision Support System Using Machine Learning To Forecast The Risk Of Chronic Pulmonary Disease And Anthracosis -- Pre-Eclampsia Risk Factors Association with Cardiovascular Disease Prediction and Diagnosing Using Machine Learning -- A Low Resource Machine Learning Approach for Prediction of Dressler Syndrome -- Analysis of Twitter Data for Business Intelligence -- Detection and Classification of Cyber Threats in Tweets towards Prevention -- Artificial Neural Network Design for CMOS NAND Gate Using Sigmoid Function -- A Pioneer Image Steganography Method Using The SOD Algorithm. | |
| 520 | _aThe book constitutes proceedings of the International Conference on Intelligent Systems and Human-Machine Collaboration 2022. The papers consist of research from different domains of human-machine interaction, computer engineering like quantum computational intelligence, big data analytics, the Internet of things, etc. The book includes significant contributions from academia and industry dealing with human-machine interaction both from the theoretical development and the application point of view. It also brings out research articles in interdisciplinary platforms applying human-machine interaction. The book is useful to researchers and practitioners alike. | ||
| 988 | _aSpringer_Computer_2023 | ||
| 650 | 7 |
_2embne _9143866 _aInterfaces de ordenador _vCongresos y asambleas |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-8477-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2024 _dz _ek _zSI |
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