000 | 07014cam a22007098i 4500 | ||
---|---|---|---|
001 | on1255800021 | ||
003 | OCoLC | ||
005 | 20240726104516.0 | ||
008 | 210409t20222022flua b 001 0 eng d | ||
015 |
_aGBC167983 _2bnb |
||
016 | 7 |
_a020180099 _2Uk |
|
020 |
_a9780367674663 _q(((hardback)ardback)) |
||
020 |
_a9780367674687 _q((pa(print & electronic)rback)a((pa(print & electronic)rback)rint & (electronic)l(electronic)ctronic)rback) |
||
029 | 0 |
_aUKMGB _b020180099 |
|
040 |
_aUKMGB _beng _erda _cUKMGB _dOCLCO _dOCLCF _dERASA _dUIU _dBDX _dNTU _dSBI |
||
049 | _aSBIM | ||
050 | 0 | 4 |
_aRA644 _b.C685 2022 |
100 | 1 |
_aVerma, Parag, _e1 |
|
245 | 1 | 0 |
_aCOVID-19 : _borigin, detection and impact analysis using artificial intelligence computational techniques / _cParag Verma, Ankur Dumka, Alaknanda Ashok, Amit Dumka, Anuj Bhardwaj. |
260 |
_aBoca Raton, Florida : _bCRC Press, _c(c)2022. |
||
300 |
_axviii, 510 pages : _billustrations (chiefly color) ; _c26 cm |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_aunmediated _bn _2rdamedia |
||
338 |
_avolume _bnc _2rdacarrier |
||
505 | 0 | 0 | _aPART I Origin and Background of COV/D-19 |
505 | 0 | 0 | _aChapter 1 Introduction to Emerging Respiratory Viruses with Coronavirus Disease (COVID-19) |
505 | 0 | 0 |
_aNew and Newly Recognized Respiratory Viruses -- _tInfluenza Viruses -- _tH1N1 Influenza -- _tH2N2 Influenza -- _tAvian Influenza (Al) -- _tHantavirus -- _tHuman Metapneumovirus (HMPV) -- _tBocavirus -- _tCoronavirus -- _tTimeline of the Emerging Viruses -- _tSARS-CoV-2 -- _tCompression of Coronaviruses in Humans-SARS-CoV, MERS-CoV, and COVID-19 -- _tPrevention, Control, and Management Strategies from SARS-CoV-2 |
505 | 0 | 0 | _aChapter 2 The Origin Molecular Structure, Function, and Evolution Insights of COVID-19: Morphogenesis and Spike Proteins |
505 | 0 | 0 |
_aEmergence of SARS-CoV and SARS-CoV-2 -- _tClassification of Coronaviruses -- _tKey Features and Entry Mechanism of Human Coronaviruses -- _tMorphology, Genomic Structure, and Its Variation of SARS-CoV-2 -- _tStructure, Function, Antigenicity, and ACE2 Recognition by the SARS- CoV-2 Spike Glycoprotein -- _tComputation Approach |
505 | 0 | 0 | _aPART II COVID-19 Screening/ Testing and Detection Systems: Different Paths to the Same Destination |
505 | 0 | 0 | _aChapter 3 Real Time-Polymerase Chain Reaction (RT-PCR) and Antibody Test |
505 | 0 | 0 |
_aReal Time RT-PCR -- _tComputational Technique of RT-PCR Test Diagnostic Sensitivity and Specificity Reconstruction for COVID-19 -- _tDigital Polymerase Chain Reaction -- _tComputational Technique of ddPCR Test for Sensitivity Assessment of COVID-19 |
505 | 0 | 0 | _aChapter 4 Antigen-Antibody Reaction-Based Immunodiagnostics Method |
505 | 0 | 0 |
_aDefinition of Basic Terms of lmmunoassay for Disease -- _tEmerged Rapid Immunodiagnostic tic (Serology Immunoassays) Tests -- _tSARS-CoV-2 Infectivity and Immune Response -- _tComputational Method -- _tSupport Vector Machine to Predict B-Cell |
505 | 0 | 0 | _aPART Ill COVID-19 Detection: Advanced Image Processing with Artificial Intelligence Techniques |
505 | 0 | 0 | _aChapter 5 Lung Function Testing (LFT) with Normal CT Scans and AI Algorithm |
505 | 0 | 0 |
_aGeneral Consideration of PFT for COVID-19 -- _tReview of Chest CT Findings in Early COVID-19 Studies -- _tMonitoring the Severity and Progression of COVID-19 with Chest CT -- _tCorrelation of Testing with rRT-PCR and Chest CT -- _tThe Ability to Differentiate Between COVID-19 Pneumonia and Other Pneumonias -- _tDeep Learning Architectures for CT SCAN |
505 | 0 | 0 | _aChapter 6 Chest X-Ray Image-Based Testing Using Machine Learning Techniques |
505 | 0 | 0 |
_aChest X-Ray Imaging for COVID-19 -- _tMachine Learning Architectures for Chest X-Ray |
505 | 0 | 0 | _aChapter 7 Blood Cell Microscope Image-Based Testing Using Deep Learning Techniques |
505 | 0 | 0 |
_aCOVID-19 and Blood Analysis: A Case Study -- _tComputation Techniques |
505 | 0 | 0 | _aPART IV Analysis of the Pre- and Post-Impact of the COVJD-19 Pandemic Crisis |
505 | 0 | 0 | _aChapter 8 Direct and Indirect Impacts of Environmental Factors on the COVID-19 Pandemic |
505 | 0 | 0 |
_aCOVID-19 and Other Large-Scale Epidemic Diseases of the 21st Century -- _tCOVID-19 Environmental Impacts -- _tImpacts on the Present Climate and Climate Change -- _tArtificial Intelligence Tools and Techniques to Measure and Analysis the Impact of COVID-19 on Environment |
505 | 0 | 0 | _aChapter 9 Direct and Indirect Impacts of the COVID-19 Pandemic Crisis on Economy |
505 | 0 | 0 |
_aImpact Analysis from Past Epidemics as a Statistical Lesson -- _tPandemic Scenario -- _tGlobal Economy Affection and Policies to Competing COVID-19 -- _tDirect and Indirect Costs -- _tComputational Model for Visual Analysis of COVID-19's Impact on the Global Economy |
505 | 0 | 0 | _aChapter 10 Direct and Indirect Impacts of the COVID-19 Pandemic Crisis on Food and Agriculture |
505 | 0 | 0 |
_aThe Impact of COVID-19 on Agriculture-Food Market -- _tImmediate Impacts -- _tComputation Model of Analysis -- _tTime Series Analysis |
505 | 0 | 0 | _aChapter 11 Direct and Indirect Impacts of the COVID-19 Pandemic Crisis on Hotels, Tour and Travel Sectors |
505 | 0 | 0 |
_aCurrent Situation in the Tourism Sector -- _tCOVID-19 Circumstances and Tourism -- _tCOVID-19: Dismantling and Re-Mantling Tourism in Three Stages -- _tImpact of the Current Crisis on Tourism Destinations -- _tComputational Models for Tourism Demand Forecasting -- _tExpected Impactful Sectors Analysis |
505 | 0 | 0 | _aChapter 12 Direct and Indirect Impacts of the COVID-19 Pandemic Crisis on Human Physical and Physiological Health |
505 | 0 | 0 |
_aImpact of COVID-19 and Physical Inactivity on The Immune System -- _tCOVID-19 Infection and the Brain Function -- _tRecommendation to Fight Against COVID-19-Associated Neurological and Mental Disorders -- _tImpact of COVID-19 on Older Adults -- _tComputational Approach to Analysis Impact of COVID-19 on Human Physiological Health -- _tA Digital Mental Health Revolution. |
520 | 8 | _aThis book highlights progress in terms of Virus Biology and Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques, that will provide learners and researchers (from basic to advanced) with the most innovative computer-driven methodologies for the fight against COVID-19. In addition, this book also covers the Pre- and Post-Impact of the COVID-19 Pandemic Crisis that will definitely provide useful content for researchers to think broadly about the analytical areas affected by COVID-19. This ultimately shows different paths to the same destination to help understand the nature of the COVID-19 pandemic and how to avoid it in the future. | |
530 |
_a2 _ub |
||
650 | 0 | _aCOVID-19 (Disease) | |
655 | 4 | _aMEDICAL. | |
700 | 1 |
_aDumka, Ankur, _d1984- _e1 |
|
700 | 1 |
_aAshok, Alaknanda, _e1 |
|
700 | 1 |
_aDumka, Amit, _e1 |
|
700 | 1 |
_aBhardwaj, Anuj, _e1 |
|
942 |
_cNUR _eAMAZON _hRA _i2021-2022 _k127.50 _m2022 _nNURS _O112-3371828-6508253 _RNURSING DEPARTMENT _2lcc _w160.00 |
||
999 |
_c69155 _d69155 |
||
902 |
_a1 _bCynthia Snell _c1 _dCynthia Snell |