Search
Leader | 00000nz a2200037n 45 0 | ||
---|---|---|---|
001 | WKP|Q56855226 (VIAF cluster) (Authority/Source Record) | ||
003 | WKP | ||
005 | 20241121000201.0 | ||
008 | 241121nneanz||abbn n and d | ||
035 | ‡a (WKP)Q56855226 | ||
024 | ‡a 0000-0001-5216-4873 ‡2 orcid | ||
024 | ‡a 35180596200 ‡2 scopus | ||
024 | ‡a 56799875500 ‡2 scopus | ||
035 | ‡a (OCoLC)Q56855226 | ||
100 | 0 | ‡a Nicholas Watson ‡c researcher (ORCID 0000-0001-5216-4873) ‡9 en | |
375 | ‡a 1 ‡2 iso5218 | ||
400 | 0 | ‡a Nicholas Watson ‡c onderzoeker ‡9 nl | |
670 | ‡a Author's Acoustic emission monitoring from a lab scale high shear granulator--a novel approach. | ||
670 | ‡a Author's Advances in the ultrasound characterization of dry-cured meat products | ||
670 | ‡a Author's Energy management for a net zero dairy supply chain under climate change | ||
670 | ‡a Author's Enhanced Clean-In-Place Monitoring Using Ultraviolet Induced Fluorescence and Neural Networks | ||
670 | ‡a Author's Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression | ||
670 | ‡a Author's Monitoring Mi xing Processes Using Ultrasonic Sensors and Machine Learning | ||
670 | ‡a Author's Post-processing of polymer foam tissue scaffolds with high power ultrasound: a route to increased pore interconnectivity, pore size and fluid transport. | ||
670 | ‡a Author's The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods when using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods | ||
909 | ‡a (scopus) 35180596200 ‡9 1 | ||
909 | ‡a (orcid) 0000000152164873 ‡9 1 | ||
909 | ‡a (scopus) 56799875500 ‡9 1 | ||
919 | ‡a effectoflightintensitysensorheightandspectralpreprocessingmethodswhenusingnirspectroscopytoidentifydifferentallergencontainingpowderedfoods ‡A The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods when using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods ‡9 1 | ||
919 | ‡a postprocessingofpolymerfoamtissuescaffoldswithhighpowerultrasoundaroutetoincreasedporeinterconnectivityporesizeandfluidtransport ‡A Post-processing of polymer foam tissue scaffolds with high power ultrasound: a route to increased pore interconnectivity, pore size and fluid transport. ‡9 1 | ||
919 | ‡a monitoringmi xing processesusingultrasonicsensorsandmachinelearning ‡A Monitoring Mi xing Processes Using Ultrasonic Sensors and Machine Learning ‡9 1 | ||
919 | ‡a intelligentindustrialcleaningamultisensorapproachutilisingmachinelearningbasedregression ‡A Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression ‡9 1 | ||
919 | ‡a enhancedcleaninplacemonitoringusingultravioletinducedfluorescenceandneuralnetworks ‡A Enhanced Clean-In-Place Monitoring Using Ultraviolet Induced Fluorescence and Neural Networks ‡9 1 | ||
919 | ‡a energymanagementforanet0dairysupplychainunderclimatechange ‡A Energy management for a net zero dairy supply chain under climate change ‡9 1 | ||
919 | ‡a advancesintheultrasoundcharacterizationofdrycuredmeatproducts ‡A Advances in the ultrasound characterization of dry-cured meat products ‡9 1 | ||
919 | ‡a acousticemissionmonitoringfromalabscalehighsheargranulatoranovelapproach ‡A Acoustic emission monitoring from a lab scale high shear granulator--a novel approach. ‡9 1 | ||
946 | ‡a b ‡9 1 | ||
996 | ‡2 J9U|987007393320605171 | ||
996 | ‡2 J9U|987007372037505171 | ||
996 | ‡2 SUDOC|192760122 | ||
996 | ‡2 ISNI|0000000359644874 | ||
996 | ‡2 DNB|11926577X | ||
996 | ‡2 ISNI|0000000402701396 | ||
996 | ‡2 ISNI|0000000369256832 | ||
996 | ‡2 DBC|87097947086817 | ||
996 | ‡2 BNF|12282076 | ||
996 | ‡2 NTA|229995020 | ||
996 | ‡2 DNB|1202446779 | ||
996 | ‡2 B2Q|0000938811 | ||
996 | ‡2 J9U|987007270517105171 | ||
996 | ‡2 BIBSYS|90181506 | ||
996 | ‡2 LIH|LNB:CCQU;=BI | ||
996 | ‡2 NKC|osd2013769039 | ||
996 | ‡2 ISNI|0000000109373119 | ||
996 | ‡2 LC|no2002006622 | ||
996 | ‡2 LC|no2015166799 | ||
996 | ‡2 ISNI|0000000114776641 | ||
996 | ‡2 NTA|157116166 | ||
996 | ‡2 NUKAT|n 2006115149 | ||
996 | ‡2 SZ|1253676038 | ||
996 | ‡2 BNF|12935808 | ||
996 | ‡2 NII|DA0161496X | ||
996 | ‡2 BNF|12451319 | ||
996 | ‡2 LC|no2021021365 | ||
996 | ‡2 SUDOC|053296060 | ||
996 | ‡2 J9U|987007328482005171 | ||
996 | ‡2 LC|no 96067065 | ||
996 | ‡2 ISNI|000000004971729X | ||
996 | ‡2 LC|n 93049897 | ||
996 | ‡2 RERO|A023177705 | ||
996 | ‡2 BIBSYS|90158308 | ||
996 | ‡2 N6I|vtls000053746 | ||
996 | ‡2 NTA|072986891 | ||
996 | ‡2 LC|n 87153178 | ||
996 | ‡2 CAOONL|ncf10238270 | ||
996 | ‡2 NII|DA19011068 | ||
996 | ‡2 PTBNP|89715 | ||
996 | ‡2 LC|n 2012026960 | ||
996 | ‡2 J9U|987007596619105171 | ||
996 | ‡2 DNB|1308835817 | ||
996 | ‡2 DNB|1093587156 | ||
996 | ‡2 BNF|14509152 | ||
996 | ‡2 CAOONL|ncf10094028 | ||
996 | ‡2 CAOONL|ncf11269093 | ||
996 | ‡2 BIBSYS|90771932 | ||
996 | ‡2 CAOONL|ncf10992005 | ||
996 | ‡2 LNB|LNC10-000235448 | ||
996 | ‡2 DNB|1124088741 | ||
996 | ‡2 ISNI|0000000114693301 | ||
996 | ‡2 NII|DA13116915 | ||
996 | ‡2 BNF|16677453 | ||
996 | ‡2 LC|nb 98068423 | ||
996 | ‡2 PTBNP|1201095 | ||
996 | ‡2 NII|DA08159919 | ||
996 | ‡2 J9U|987007382724105171 | ||
996 | ‡2 BNF|16939389 | ||
996 | ‡2 LC|no 89018741 | ||
996 | ‡2 PLWABN|9810539928705606 | ||
996 | ‡2 ISNI|0000000043042711 | ||
996 | ‡2 ISNI|0000000002448520 | ||
996 | ‡2 BNF|17940424 | ||
996 | ‡2 LC|n 2013182090 | ||
996 | ‡2 SUDOC|14979729X | ||
996 | ‡2 CAOONL|ncf11358372 | ||
996 | ‡2 BNF|15686666 | ||
996 | ‡2 NII|DA06073583 | ||
996 | ‡2 B2Q|0000981807 | ||
996 | ‡2 CAOONL|ncf10089646 | ||
996 | ‡2 LC|no2015166905 | ||
996 | ‡2 SUDOC|147051444 | ||
996 | ‡2 NSK|000189388 | ||
996 | ‡2 CAOONL|ncf10951124 | ||
996 | ‡2 SUDOC|056868162 | ||
996 | ‡2 NSK|000621158 | ||
996 | ‡2 NUKAT|n 2018227352 | ||
996 | ‡2 NII|DA09089921 | ||
996 | ‡2 LC|n 2020071030 | ||
996 | ‡2 J9U|987007321782005171 | ||
996 | ‡2 ISNI|0000000454467407 | ||
996 | ‡2 ISNI|0000000108157457 | ||
996 | ‡2 SUDOC|033669163 | ||
996 | ‡2 BAV|495_249875 | ||
996 | ‡2 NUKAT|n 2008056806 | ||
996 | ‡2 LC|n 2018031554 | ||
996 | ‡2 J9U|987007425788105171 | ||
996 | ‡2 LC|n 00093502 | ||
996 | ‡2 NUKAT|n 2017035199 | ||
996 | ‡2 SUDOC|259055468 | ||
996 | ‡2 LC|n 91027844 | ||
996 | ‡2 NII|DA18722173 | ||
996 | ‡2 LC|nb2014021253 | ||
996 | ‡2 ISNI|0000000384587058 | ||
996 | ‡2 NUKAT|n 2003004724 | ||
996 | ‡2 BIBSYS|17621 | ||
996 | ‡2 LC|no2011146790 | ||
996 | ‡2 NKC|jx20060906011 | ||
996 | ‡2 PLWABN|9810695238605606 | ||
996 | ‡2 NTA|073781096 | ||
996 | ‡2 RERO|A003960002 | ||
996 | ‡2 LC|nb2016001187 | ||
996 | ‡2 BIBSYS|1076871 | ||
996 | ‡2 BNC|981058522362006706 | ||
996 | ‡2 DNB|1147178992 | ||
996 | ‡2 BIBSYS|13037256 | ||
996 | ‡2 BIBSYS|90775806 | ||
996 | ‡2 DBC|87097992460401 | ||
996 | ‡2 DNB|172711436 | ||
996 | ‡2 DNB|1349648477 | ||
996 | ‡2 NTA|10604950X | ||
996 | ‡2 N6I|vtls000070276 | ||
996 | ‡2 LC|no2015166982 | ||
996 | ‡2 SUDOC|251531546 | ||
996 | ‡2 DNB|1253676038 | ||
996 | ‡2 SUDOC|180891707 | ||
996 | ‡2 RERO|A003960016 | ||
996 | ‡2 RERO|A003960017 | ||
996 | ‡2 LC|nb2004007544 | ||
996 | ‡2 BIBSYS|90222046 | ||
996 | ‡2 NTA|326896465 | ||
996 | ‡2 LC|nr2003038624 | ||
996 | ‡2 ISNI|0000000502327186 | ||
997 | ‡a 0 0 lived 0 0 ‡9 1 |