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024 7 _a10.1007/978-981-19-5936-3
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245 1 0 _aICDSMLA 2021
_h[electronic resource] :
_bProceedings of the 3rd International Conference on Data Science, Machine Learning and Applications /
_cedited by Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aXIV, 901 p. 560 illus., 395 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v947
505 0 _aRoad accident detection and indication system -- Attendance System based on Face Recognition using Haar Cascade and LBPH Algorithm -- Different Thresholding Techniques in Image processing : A Review -- Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives -- Population Index and Analysis based on different geographies; Using distance measurement, Social Distancing, and Deep Learning -- On the discriminability of samples using binarized ReLU activations -- A Detailed Review of Supervised and Unsupervised Machine Learning Approaches -- Skin Cancer Classification using Deep Learning -- Crop Yield Prediction using Deep Learning -- Real Time Tweets Streaming and Comparison Using Naïve Bayes Classifier -- Smart Shopping Trolley for Billing System -- A Survey on IoT Protocol in Real Time Applications and its Architectures -- Safe Characteristic Signature Systems with Different Jurisdiction using Block Chain in E-Health Records -- Web based trash segregation using deep learning algorithm -- Home Automation Using Face Recognition for Wireless Security -- Hybrid-network intrusion detection (H-NID) model using machine learning techniques (MLTs) -- Impact of Using Partial Gait Energy Images for Human Recognition by Gait Analysis -- Several Routing Protocols, Features and Limitations for WMN (Wireless Mesh Network) : A Review -- A deep meta-model for environmental sound recognition -- Spatial Computing: Next Big Thing of Physical and Digital World.
520 _aThis book gathers selected high-impact articles from the 3rd International Conference on Data Science, Machine Learning & Applications 2021. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
650 0 _aComputational intelligence.
650 0 _aBusiness information services.
650 0 _aArtificial intelligence.
650 0 _aNeural networks (Computer science) .
650 0 _aInternet of things.
650 0 _aQuantitative research.
650 1 4 _aComputational Intelligence.
650 2 4 _aIT in Business.
650 2 4 _aArtificial Intelligence.
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.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSenatore, Sabrina.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGunjan, Vinit Kumar.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9789811959370
776 0 8 _iPrinted edition:
_z9789811959387
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v947
856 4 0 _uhttps://doi.org/10.1007/978-981-19-5936-3
912 _aZDB-2-SCS
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