LEADER 03773nam 22007815 450 001 9910728946003321 005 20230531120622.0 010 $a981-19-7222-2 024 7 $a10.1007/978-981-19-7222-5 035 $a(MiAaPQ)EBC30558422 035 $a(Au-PeEL)EBL30558422 035 $a(OCoLC)1381095012 035 $a(DE-He213)978-981-19-7222-5 035 $a(BIP)085653849 035 $a(PPN)270617698 035 $a(CKB)26816418000041 035 $a(EXLCZ)9926816418000041 100 $a20230531d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIRC-SET 2022 $eProceedings of the 8th IRC Conference on Science, Engineering and Technology, August 2022, Singapore /$fedited by Huaqun Guo, Ian McLoughlin, Eyasu Getahun Chekole, Umayal Lakshmanan, Weizhi Meng, Peng Cheng Wang, Jiqiang Lu 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (594 pages) 311 08$aPrint version: Guo, Huaqun Irc-Set 2022 Singapore : Springer Singapore Pte. Limited,c2023 9789811972218 327 $aVirtual Arm with Multimodal Biased feedback for Improving EEG Motor Imagery Calibration Training -- Extracting Cellulose from Commonly Consumed and Wasted Asian Vegetables -- Hanging A Painting -- Carbon Monoxide Concentration in Atmosphere - A Review -- Self-Supervised Learning for 3D CT Scan Segmentation -- Evaluation of Calibration Paradigms to Improve Wearable EEG-based Attention Recognition -- Reducing the Diagnostic Odyssey for Patients with NEUROMUSCULAR DISORDERS -- Honeypot for Cybersecurity Threat Intelligence -- Automatic Detection of Age-related Macular Degeneration from Optical Coherence Tomography Images. 330 $aThis book highlights contemporary state of research in multi-disciplinary areas in Physics, Biomedical Sciences, Chemical Engineering, Mechanical Engineering, Computer Science/Engineering, Life Sciences, and Healthcare. The accepted submissions to the 8th IRC Conference on Science, Engineering and Technology (IRC-SET 2022) that were presented on 6th August 2022, are published in this conference proceedings. The papers presented here were shortlisted after extensive rounds of rigorous reviews by a panel of esteemed individuals who are pioneers and experts in their respective domains. 606 $aPhysics 606 $aBiomedical engineering 606 $aMachine learning 606 $aBiomaterials 606 $aNanotechnology 606 $aApplied and Technical Physics 606 $aBiomedical Engineering and Bioengineering 606 $aBiomedical Devices and Instrumentation 606 $aMachine Learning 606 $aBiomaterials 606 $aNanoengineering 610 $aScience 615 0$aPhysics. 615 0$aBiomedical engineering. 615 0$aMachine learning. 615 0$aBiomaterials. 615 0$aNanotechnology. 615 14$aApplied and Technical Physics. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aBiomedical Devices and Instrumentation. 615 24$aMachine Learning. 615 24$aBiomaterials. 615 24$aNanoengineering. 676 $a507.2 700 $aGuo$b Huaqun$01367167 701 $aMcLoughlin$b Ian$01180436 701 $aChekole$b Eyasu Getahun$01367168 701 $aLakshmanan$b Umayal$01367169 701 $aMeng$b Weizhi$01067369 701 $aWang$b Peng Cheng$01367170 701 $aLu$b Jiqiang$01367171 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910728946003321 996 $aIrc-Set 2022$93389888 997 $aUNINA