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| 001 |
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20241006213017.0 |
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230819s2023 si o 100 0 eng d |
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|a 1394115426
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|a 9789819920587
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|a 9819920582
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|a 10.1007/978-981-99-2058-7
|2 doi
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| 035 |
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|a (OCoLC)1394118020
|z (OCoLC)1394115426
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| 050 |
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|a Q334
|b .I58 2022
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| 049 |
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|a HCDD
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| 111 |
2 |
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|a International Conference on Data Science, Machine Learning and Applications
|n (4th :
|d 2022 :
|c Hyderabad, India)
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| 245 |
1 |
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|a Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications :
|b ICDSMLA 2022, 26-27 December, Hyderabad, India /
|c Amit Kumar, Vinit Kumar Gunjan, Yu-Chen Hu, Sabrina Senatore, editors.
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| 246 |
3 |
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|a ICDSMLA 2022
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| 264 |
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1 |
|a Singapore :
|b Springer,
|c 2023.
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| 300 |
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|a 1 online resource (436 p.).
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Lecture Notes in Electrical Engineering ;
|v v.1038
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| 505 |
0 |
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|a Intro -- Contents -- Social Media + Machine Learning to Offer Clues on Suicide Ideation Concerns -- 1 Introduction -- 2 Literature Review -- 3 Data and Methodology -- 4 Data Preparation and Cleaning -- 5 Data Exploration with Word clouds -- 6 ML-Topic Modeling -- 7 Application of the Latent Dirichlet Allocation (LDA) Model -- 8 Gamma -- 9 Discussion -- 10 Future Work -- References -- Opinion Mining-Based Fake Review Detection Using Deep Learning Technique -- 1 Introduction -- 2 Literature Review -- 3 Opinion Mining-Based Fake Review Detection Using Deep Learning Technique
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| 505 |
8 |
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|a 3.1 Text Pre-processing -- 3.2 Embedding of Attention Word -- 3.3 Components of Opinion Mining-Based Fake Review Detection Using Deep Learning Technique Approach -- 4 Experimental Studies -- 4.1 Data set Used -- 4.2 Performance Analysis -- 5 Conclusion -- References -- Analysis of the SEER Data set for Lung Cancer Diagnosis for Stage Classification and Survival Analysis -- 1 Introduction -- 1.1 Patients with Stage I Cancer -- 1.2 Patients with Stage II Cancer -- 1.3 Patients with Stage III Cancer -- 1.4 Patients with Stage IV Cancer -- 2 Risk Factors of Lung Cancer -- 3 Materials and Methods
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| 505 |
8 |
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|a 3.1 Patient Population -- 4 Statistical Analysis -- 4.1 Tumour Analysis -- 5 Parametric Analysis -- 6 Experimental Setup -- 6.1 Online Lung Cancer Outcome Calculator -- 7 SEER Data Dictionary -- 7.1 Results -- 8 Conclusion and Future Work -- References -- Data Analytics for Athlete Safety in Training -- 1 Role of Wearables -- 2 System Architecture -- 3 Bicep Curls -- 4 Feature Engineering and Data Cleaning -- 5 Methodology -- 6 Results -- 7 Squats -- 8 Conclusions and Further Development -- References -- Analysis of Various Techniques of Fetal Growth Detection -- 1 Introduction -- 1.1 Ultrasound
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| 505 |
8 |
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|a 1.2 Doppler Ultrasound -- 1.3 Cardiotocography -- 1.4 Maternal Blood Testing -- 2 Related Literature -- 3 Conclusions -- References -- Mr. Bot-A Survey on Arduino-Based Autonomous Robotic Vehicle -- 1 Introduction -- 2 Literature Survey -- 3 Objectives -- 4 Existing System -- 5 Proposed System -- 6 Proposed Methodology -- 7 Applications -- 8 Expected Result -- 9 Conclusion -- 10 Future Enhancements -- References -- Water Quality Monitoring and Controlling Systems for Aquaculture -- 1 Introduction -- 2 Literature Review -- 2.1 Water Quality Monitoring Using Wireless Sensor Networks
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| 505 |
8 |
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|a 2.2 Water Quality Monitoring Using IoT -- 2.3 Water Quality Monitoring Using Artificial Intelligence -- 3 Discussion -- 4 Conclusion -- References -- IoT-based Fire Analyzer and Fire Fighting System -- 1 Introduction -- 2 Literature Review -- 2.1 Automatic Fire Detection System Using Arduino -- 2.2 Fire Detector and Extinguisher System Using Arduino -- 3 Methodology -- 3.1 Existing System -- 3.2 Proposed Methods -- 3.3 Block Diagram -- 4 Results and Discussion -- 5 Result -- 6 Future Scope and Conclusion -- 6.1 Future Scope -- 7 Conclusion -- References
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| 500 |
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|a Multifocus Image Fusion Based on Convolutional Simultaneous Sparse Approximation
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| 520 |
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|a This 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.
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| 588 |
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|a Description based on online resource; title from digital title page (viewed on October 18, 2023).
|
| 650 |
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0 |
|a Artificial intelligence
|v Congresses.
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| 650 |
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0 |
|a Machine learning
|v Congresses.
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| 650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
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| 650 |
|
7 |
|a Machine learning.
|2 fast
|0 (OCoLC)fst01004795
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| 655 |
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7 |
|a proceedings (reports)
|2 aat
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| 655 |
|
7 |
|a Conference papers and proceedings.
|2 fast
|0 (OCoLC)fst01423772
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| 655 |
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7 |
|a Conference papers and proceedings.
|2 lcgft
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| 655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Kumar, Amit.
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| 700 |
1 |
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|a Gunjan, Vinit Kumar.
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| 700 |
1 |
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|a Hu, Yu-Chen,
|c PhD.
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| 700 |
1 |
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|a Senatore, Sabrina.
|
| 776 |
0 |
8 |
|i Print version:
|a Kumar, Amit
|t Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications
|d Singapore : Springer Singapore Pte. Limited,c2023
|z 9789819920570
|
| 830 |
|
0 |
|a Lecture notes in electrical engineering ;
|v v. 1038.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-99-2058-7
|y Click for online access
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| 903 |
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|a SPRING-ALL2023
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| 994 |
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|a 92
|b HCD
|