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001476046 001__ 1476046
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001476046 019__ $$a1394115426
001476046 020__ $$a9789819920587$$q(electronic b.)
001476046 020__ $$a9819920582$$q(electronic b.)
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001476046 0247_ $$a10.1007/978-981-99-2058-7$$2doi
001476046 035__ $$aSP(OCoLC)1394118020
001476046 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dEBLCP$$dYDX$$dOCLCQ$$dOCLCO
001476046 049__ $$aISEA
001476046 050_4 $$aQ334
001476046 08204 $$a006.3$$223/eng/20230825
001476046 1112_ $$aInternational Conference on Data Science, Machine Learning and Applications$$n(4th :$$d2022 :$$cHyderabad, India)
001476046 24510 $$aProceedings of the 4th International Conference on Data Science, Machine Learning and Applications :$$bICDSMLA 2022, 26-27 December, Hyderabad, India /$$cAmit Kumar, Vinit Kumar Gunjan, Yu-Chen Hu, Sabrina Senatore, editors.
001476046 2463_ $$aICDSMLA 2022
001476046 260__ $$aSingapore :$$bSpringer,$$c2023.
001476046 300__ $$a1 online resource (436 p.).
001476046 4901_ $$aLecture Notes in Electrical Engineering ;$$vv.1038
001476046 500__ $$aMultifocus Image Fusion Based on Convolutional Simultaneous Sparse Approximation
001476046 5050_ $$aIntro -- 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
001476046 5058_ $$a3.1 Text Pre-processing -- 3.2 Embedding of Attention Word -- 3.3 Components of Opinion Mining-Based Fake Review Detection Using Deep Learning Technique Approach -- 4 Experimental Studies -- 4.1 Data set Used -- 4.2 Performance Analysis -- 5 Conclusion -- References -- Analysis of the SEER Data set for Lung Cancer Diagnosis for Stage Classification and Survival Analysis -- 1 Introduction -- 1.1 Patients with Stage I Cancer -- 1.2 Patients with Stage II Cancer -- 1.3 Patients with Stage III Cancer -- 1.4 Patients with Stage IV Cancer -- 2 Risk Factors of Lung Cancer -- 3 Materials and Methods
001476046 5058_ $$a3.1 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
001476046 5058_ $$a1.2 Doppler Ultrasound -- 1.3 Cardiotocography -- 1.4 Maternal Blood Testing -- 2 Related Literature -- 3 Conclusions -- References -- Mr. Bot-A Survey on Arduino-Based Autonomous Robotic Vehicle -- 1 Introduction -- 2 Literature Survey -- 3 Objectives -- 4 Existing System -- 5 Proposed System -- 6 Proposed Methodology -- 7 Applications -- 8 Expected Result -- 9 Conclusion -- 10 Future Enhancements -- References -- Water Quality Monitoring and Controlling Systems for Aquaculture -- 1 Introduction -- 2 Literature Review -- 2.1 Water Quality Monitoring Using Wireless Sensor Networks
001476046 5058_ $$a2.2 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
001476046 506__ $$aAccess limited to authorized users.
001476046 520__ $$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.
001476046 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 25, 2023).
001476046 650_0 $$aArtificial intelligence$$vCongresses.
001476046 650_0 $$aMachine learning$$vCongresses.
001476046 650_6 $$aIntelligence artificielle$$vCongrès.
001476046 650_6 $$aApprentissage automatique$$vCongrès.
001476046 655_0 $$aElectronic books.
001476046 7001_ $$aKumar, Amit.
001476046 7001_ $$aGunjan, Vinit Kumar.
001476046 7001_ $$aHu, Yu-Chen,$$cPhD.
001476046 7001_ $$aSenatore, Sabrina.
001476046 77608 $$iPrint version:$$aKumar, Amit$$tProceedings of the 4th International Conference on Data Science, Machine Learning and Applications$$dSingapore : Springer Singapore Pte. Limited,c2023$$z9789819920570
001476046 830_0 $$aLecture notes in electrical engineering ;$$vv. 1038.
001476046 852__ $$bebk
001476046 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-2058-7$$zOnline Access$$91397441.1
001476046 909CO $$ooai:library.usi.edu:1476046$$pGLOBAL_SET
001476046 980__ $$aBIB
001476046 980__ $$aEBOOK
001476046 982__ $$aEbook
001476046 983__ $$aOnline
001476046 994__ $$a92$$bISE