000 03670nam a22005895i 4500
001 978-3-031-68602-3
003 DE-He213
005 20251030113244.0
007 cr nn 008mamaa
008 241025s2024 sz | s |||| 0|eng d
020 _a9783031686023
_9978-3-031-68602-3
024 7 _a10.1007/978-3-031-68602-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
245 1 0 _aIoT Sensors, ML, AI and XAI: Empowering A Smarter World
_h[electronic resource] /
_cedited by Biswajeet Pradhan, Subhas Mukhopadhyay.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXI, 480 p. 259 illus., 241 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSmart Sensors, Measurement and Instrumentation,
_x2194-8410 ;
_v50
505 0 _aSensors ML and AI for Real World Applications -- Flying IoT Sensor Fusion Performance Analysis for UAV Applications in Indoor Spaces -- Machine Learning Empowered IoT Devices Analysis of Indoor and Outdoor Temperature and Health Risks -- Identification of IoT devices through Machine Learning and hardware fingerprints based on clock skew.
520 _aThis book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers, upper-undergraduate, master and Ph.D. students, engineers and practitioners in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT.
650 0 _aComputational intelligence.
_964052
650 0 _aInternet of things.
_958845
650 0 _aMaterials.
650 0 _aDetectors.
_966510
650 0 _aMechatronics.
_968795
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aInternet of Things.
_958845
650 2 4 _aSensors and biosensors.
_966512
650 2 4 _aMechatronics.
_968795
700 1 _aPradhan, Biswajeet.
_eeditor.
_0(orcid)0000-0001-9863-2054
_1https://orcid.org/0000-0001-9863-2054
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_986573
700 1 _aMukhopadhyay, Subhas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_986574
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031686016
776 0 8 _iPrinted edition:
_z9783031686030
776 0 8 _iPrinted edition:
_z9783031686047
830 0 _aSmart Sensors, Measurement and Instrumentation,
_x2194-8410 ;
_v50
_967547
856 4 0 _uhttps://doi.org/10.1007/978-3-031-68602-3
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c64472
_d64472