0000000000682134

AUTHOR

Naveen Paluru

0000-0002-6617-5132

showing 2 related works from this author

Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images.

2021

Chest computed tomography (CT) imaging has become indispensable for staging and managing coronavirus disease 2019 (COVID-19), and current evaluation of anomalies/abnormalities associated with COVID-19 has been performed majorly by the visual score. The development of automated methods for quantifying COVID-19 abnormalities in these CT images is invaluable to clinicians. The hallmark of COVID-19 in chest CT images is the presence of ground-glass opacities in the lung region, which are tedious to segment manually. We propose anamorphic depth embedding-based lightweight CNN, called Anam-Net, to segment anomalies in COVID-19 chest CT images. The proposed Anam-Net has 7.8 times fewer parameters …

Similarity (geometry)Coronavirus disease 2019 (COVID-19)Computer Networks and CommunicationsComputer scienceComputed tomography02 engineering and technologyDeep LearningArtificial Intelligence0202 electrical engineering electronic engineering information engineeringMedical imagingmedicineImage Processing Computer-AssistedHumansSegmentationComputer visionLung regionLungmedicine.diagnostic_testbusiness.industryDeep learningVDP::Technology: 500COVID-19Image segmentationComputer Science ApplicationsEmbedding020201 artificial intelligence & image processingArtificial intelligenceNeural Networks ComputerbusinessTomography X-Ray ComputedSoftwareIEEE transactions on neural networks and learning systems
researchProduct

Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures

2021

Hand gestures based sign language digits have several contactless applications. Applications include communication for impaired people, such as elderly and disabled people, health-care applications, automotive user interfaces, and security and surveillance. This work presents the design and implementation of a complete end-to-end deep learning based edge computing system that can verify a user contactlessly using &lsquo

Edge deviceComputer Networks and CommunicationsComputer scienceSpeech recognitionlcsh:TK7800-8360securitySign languageVDP::Teknologi: 500::Elektrotekniske fag: 540edge computingCode (cryptography)ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSElectrical and Electronic EngineeringEdge computingAuthenticationhand gestures recognitionArtificial neural networkbusiness.industryDeep learninglcsh:Electronicsdeep learningneural networkscontactless authenticationHardware and ArchitectureControl and Systems Engineeringcamera based authenticationSignal ProcessingArtificial intelligencebusinessGesture
researchProduct