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_a10.1007/978-981-16-6636-0 _2doi |
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_aTR-AnTOB _beng _erda _cTR-AnTOB |
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_aProceedings of the International Conference on Big Data, IoT, and Machine Learning _h[electronic resource] : _bBIM 2021 / _cedited by Mohammad Shamsul Arefin, M. Shamim Kaiser, Anirban Bandyopadhyay, Md. Atiqur Rahman Ahad, Kanad Ray. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2022. |
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300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes on Data Engineering and Communications Technologies, _x2367-4520 ; _v95 |
|
505 | 0 | _aPerformance Analysis of Classifier for Chronic Kidney Disease Prediction Using SVM, DNN, and KNN -- Comparative Analysis of Machine Learning Techniques in Classification Cervical Cancer using Isolation Forest with ADASYN -- Computer-Aided Cataract Detection Using Random Forest Classifier -- COV-Doctor: A Machine Learning Based Scheme for Early Identification of COVID-19 in Patients -- Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms -- A Comprehensive Analysis of Most Relevant Features Causes Heart Disease using Machine Learning Algorithms -- Early Stage Detection of Heart Failure using Machine Learning Techniques -- Automatic License Plate Recognition System For Bangladeshi Vehicles Using Deep Neural Network -- Vulnerability Analysis and Robust Training with Additive Noise for FGSM attack on Transfer Learning based Brain Tumor Detection from MRI -- Performance Evaluation of Convolution Neural Network based Object Detection Model for Bangladeshi Traffic Vehicle Detection -- Hyperspectral Image Classification Using Factor Analysis and Convolutional Neural Networks -- A Convolutional Neural Network Model for Screening COVID-19 Patients Based on CT Scan Images -- Real-Time Face Recognition System for Remote Employee Tracking. | |
520 | _aThis book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2021), held in Cox’s Bazar, Bangladesh, during 23–25 September 2021. The book covers research papers in the field of big data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field. | ||
650 | 0 | _aInternet of things. | |
650 | 0 | _aBig data. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aInternet of Things. |
650 | 2 | 4 | _aBig Data. |
650 | 2 | 4 | _aArtificial Intelligence. |
653 | 0 | _aBig data -- Congresses | |
653 | 0 | _aInternet of things -- Congresses | |
653 | 0 | _aMachine learning -- Congresses | |
700 | 1 |
_aArefin, Mohammad Shamsul. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aKaiser, M. Shamim. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aBandyopadhyay, Anirban. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aAhad, Md. Atiqur Rahman. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aRay, Kanad. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
830 | 0 |
_aLecture Notes on Data Engineering and Communications Technologies, _x2367-4520 ; _v95 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-981-16-6636-0 _3Springer eBooks _zOnline access link to the resource |
942 |
_2lcc _cEBK |