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[and others] 210 1$a[Columbia, MO] :$cU.S. Dept. of the Interior, U.S. Geological Survey, Biological Resources Division,$d[2000] 215 $avi, 81 pages $cdigital, PDF file 225 1 $aInformation and technology report ;$vUSGS/BRD/ITR--2000-0005 300 $aTitle from title screen (viewed July 16, 2008). 300 $a"Report date: February 2000." 300 $a"USGS/BRD/ITR." 320 $aIncludes bibliographical references. 517 $aBiomonitoring of Environmental Status and Trends 606 $aWater quality bioassay 606 $aPollutants$vIdentification 606 $aFishes$xEffect of pollution on$xMeasurement 615 0$aWater quality bioassay. 615 0$aPollutants 615 0$aFishes$xEffect of pollution on$xMeasurement. 701 $aSchmitt$b Christopher J$01391349 701 $aDethloff$b Gail M$g(Gail Marie)$01391350 701 $aBlazer$b Vicki S$01391351 712 02$aGeological Survey (U.S.).$bBiological Resources Division. 712 02$aBiomonitoring of Environmental Status and Trends Program (Geological Survey) 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910696719003321 996 $aBiomonitoring of Environmental Status and Trends (BEST) Program$93445071 997 $aUNINA LEADER 04781nam 2201177z- 450 001 9910557356503321 005 20220111 035 $a(CKB)5400000000042324 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76299 035 $a(oapen)doab76299 035 $a(EXLCZ)995400000000042324 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aArtificial Intelligence and Cognitive Computing$eMethods, Technologies, Systems, Applications and Policy Making 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (278 p.) 311 08$a3-0365-1161-X 311 08$a3-0365-1160-1 330 $aArtificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today's world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. 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