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_a10.1007/978-981-99-2058-7 _2doi |
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_aProceedings of the 4th International Conference on Data Science, Machine Learning and Applications _h[electronic resource] : _bICDSMLA 2022, 26–27 December, Hyderabad, India / _cedited by Amit Kumar, Vinit Kumar Gunjan, Yu-Chen Hu, Sabrina Senatore. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023. |
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300 |
_aVIII, 441 p. 254 illus., 189 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Electrical Engineering, _x1876-1119 ; _v1038 |
|
505 | 0 | _aChapter 1: Mr. Bot – A Survey on Arduino Based Autonomous Robotic Vehicle -- Chapter 2: Opinion Mining based Fake Review Detection using Deep Learning Technique -- Chapter 3: Analysis of the Seer dataset for lung cancer diagnosis for Stage classification and survival Analysis -- Chapter 4: Data Analytics for Athlete Safety in Training -- Chapter 5: Social Media + Machine Learning to Offer Clues on Suicide Ideation Concerns -- Chapter 6: Analysis of Various Techniques of Fetal Growth Detection. | |
520 | _aThis book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aBusiness information services. | |
650 | 0 | _aNeural networks (Computer science) . | |
650 | 0 | _aInternet of things. | |
650 | 0 | _aQuantitative research. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aIT in Business. |
650 | 2 | 4 | _aMathematical Models of Cognitive Processes and Neural Networks. |
650 | 2 | 4 | _aInternet of Things. |
650 | 2 | 4 | _aData Analysis and Big Data. |
700 | 1 |
_aKumar, Amit. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aGunjan, Vinit Kumar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aHu, Yu-Chen. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aSenatore, Sabrina. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789819920570 |
776 | 0 | 8 |
_iPrinted edition: _z9789819920594 |
776 | 0 | 8 |
_iPrinted edition: _z9789819920600 |
830 | 0 |
_aLecture Notes in Electrical Engineering, _x1876-1119 ; _v1038 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-99-2058-7 |
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