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Augmented Reality, Virtual Reality & Semantic 3D Reconstruction
Augmented Reality, Virtual Reality & Semantic 3D Reconstruction
Autore Lv Zhihan
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (304 p.)
Soggetto topico Technology: general issues
History of engineering & technology
History of engineering and technology
Soggetto non controllato feature tracking
superpixel
structure from motion
three-dimensional reconstruction
local feature
multi-view stereo
construction hazard
safety education
photoreality
virtual reality
anatomization
audio classification
olfactory display
deep learning
transfer learning
inception model
augmented reality
higher education
scientific production
web of science
bibliometric analysis
scientific mapping
applications in subject areas
interactive learning environments
3P model
primary education
educational technology
mobile lip reading system
lightweight neural network
face correction
virtual reality (VR)
computer vision
projection mapping
3D face model
super-resolution
radial curve
Dynamic Time Warping
semantic 3D reconstruction
eye-in-hand vision system
robotic manipulator
probabilistic fusion
graph-based refinement
3D modelling
3D representation
game engine
laser scanning
panoramic photography
super-resolution reconstruction
generative adversarial networks
dense convolutional networks
texture loss
WGAN-GP
orientation
positioning
viewpoint
image matching
algorithm
transformation
ADHD
EDAH
assessment
continuous performance test
Photometric Stereo (PS)
3D reconstruction
fully convolutional network (FCN)
semi-immersive virtual reality
children
cooperative games
empowerment
perception
motor planning
problem-solving
area of interest
wayfinding
spatial information
one-shot learning
gesture recognition
GREN
skeleton-based
3D composition
pre-visualization
stereo vision
360° video
ISBN 3-0365-6062-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639985103321
Lv Zhihan
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Electrochemical Exfoliation of Graphene and Its Derivatives : Commercial Applications / / edited by Raju Khan, Neeraj Kumar, Mohd. Abubakar Sadique, Arpana Parihar
Electrochemical Exfoliation of Graphene and Its Derivatives : Commercial Applications / / edited by Raju Khan, Neeraj Kumar, Mohd. Abubakar Sadique, Arpana Parihar
Autore Khan Raju
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (350 pages)
Disciplina 530.41
620.19
Altri autori (Persone) KumarNeeraj
Mohd. Abubakar Sadique
PariharArpana
Collana Engineering Materials
Soggetto topico Condensed matter
Biophysics
Materials
Chemistry
Materials - Analysis
Carbon
Two-dimensional Materials
Bioanalysis and Bioimaging
Materials Chemistry
Materials Characterization Technique
Carbon Materials
ISBN 9789819721283
9819721288
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Overview of electrochemical exfoliation approaches -- 2. Advantages of electrochemical exfoliation method over conventional methods -- 3. Graphene and its derivatives: various routes of synthesis -- 4. Structure and electrochemical properties of graphene, derivatives and its nanocomposites -- 5. Electrochemical exfoliation a green approach: Waste to wealth -- 6. Mechanism of synthesis for graphene and its derivatives by electrochemical exfoliation -- 7. Unique characteristics of electrochemically exfoliated multi-dimensional graphene and its derivatives -- 8. Electrochemistry and energy storage applications of graphene and its derivatives -- 9. Applications of electrochemically exfoliated graphene and its derivatives in the field of Biosensing and Bioimaging -- 10. Electrochemical exfoliation of graphene and its derivatives and its extended applications in therapeutics -- 11. Methodology advancements for bulk production and commercialization of graphene and its derivatives -- 12. Challenges and future opportunities in the field of electrochemical exfoliation techniques.
Record Nr. UNINA-9910861090303321
Khan Raju  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligent Data Analysis for COVID-19 Pandemic / / edited by M. Niranjanamurthy, Siddhartha Bhattacharyya, Neeraj Kumar
Intelligent Data Analysis for COVID-19 Pandemic / / edited by M. Niranjanamurthy, Siddhartha Bhattacharyya, Neeraj Kumar
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (377 pages)
Disciplina 362.1962414
Collana Algorithms for Intelligent Systems
Soggetto topico Computational intelligence
Artificial intelligence
Quantitative research
Medical informatics
Computational Intelligence
Artificial Intelligence
Data Analysis and Big Data
Health Informatics
Pandèmia de COVID-19, 2020-2023
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 981-16-1574-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Machine Learning Based Ensemble Approach for Predicting the Mortality Risk of Covid-19 Patients: A Case Study -- Chapter 2. The Role of Internet of Health Things (IoHTs) & Innovative Internet of 5G Medical Robotic Things (IIo-5GMRTs) in COVID-19 Global Health Risk Management and Logistics Planning -- Chapter 3. Battling COVID-19 with Process Model of Integrated Digital Technology: An Analysis of Qualitative Data -- Chapter 4. High-fidelity intelligence ventilator to help infect with Covid-19 based on artificial intelligence -- Chapter 5. Boon of Artificial Intelligence in Diagnosis of Covid-19 -- Chapter 6. Artificial Intelligence and Big Data Solutions for COVID-19 -- Chapter 7. Modeling the Transmition Dynamics of COVID-19 Virus Disease in Nigeria -- Chapter 8. Emerging Trends in Higher Education during Pandemic Covid-19: An impact study From West Bengal -- Chapter 9. COVID-19: Virology, Epidemiology, Diagnostics and Predictive modelling -- Chapter 10. Improved Estimation inLogistic Regression through Quadratic Bootstrap Approach: An Application in Indian Agricultural e-learning System during COVID-19 Pandemic -- Chapter 11. COVID-19 and Stock Markets: Deaths and Strict Policies -- Chapter 12. Artificial Intelligence Techniques in Medical Imaging for Detection of Corona Virus (COVID-19 / SARS-COV-2): A Brief Survey -- Chapter 13. A Travelling Disinfection-man Problem (TDP) for COVID-19: A Nonlinear Binary Constrained Gaining-Sharing knowledge-based Optimization Algorithm -- Chapter 14. COVID-19 Lock down Impact on Mental Health: A Cross-sectional Online Survey from Kerala, India -- Chapter 15. Analysis, Modelling and Prediction of COVID-19 Outbreaks using Machine Learning Algorithms.
Record Nr. UNINA-9910488705703321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multimedia Big Data Computing for IoT Applications : Concepts, Paradigms and Solutions / / edited by Sudeep Tanwar, Sudhanshu Tyagi, Neeraj Kumar
Multimedia Big Data Computing for IoT Applications : Concepts, Paradigms and Solutions / / edited by Sudeep Tanwar, Sudhanshu Tyagi, Neeraj Kumar
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (xiv, 477 pages)
Disciplina 005.7
Collana Intelligent Systems Reference Library
Soggetto topico Computational intelligence
Data protection
Big data
Multimedia systems
Application software
Computational Intelligence
Data and Information Security
Big Data
Multimedia Information Systems
Computer and Information Systems Applications
ISBN 981-13-8759-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multimedia Big data computing for IoT -- Energy Conservation in MMBD Computing and IoT – A Challenge -- An Architecture for the Real-Time Data Stream Monitoring in IoT -- Deep learning for Multimedia data in IoT -- Random Forest based Sarcastic Tweet Classification using multiple feature Collection -- Peak Average Power Ratio reduction in FBMC using SLM & PTS techniques -- Intelligent Personality Analysis on Indicators in IoT-MMBD Enabled Environment -- Data Reduction in MMBD Computing -- Large Scale MMBD Management and Retrieval -- Data Reduction Technique for Capsule Endoscopy -- Multimedia Social Big Data: Mining -- Advertisement prediction in social media environment using big data framework.
Record Nr. UNINA-9910484861903321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Next Generation Computing Technologies on Computational Intelligence : 4th International Conference, NGCT 2018, Dehradun, India, November 21–22, 2018, Revised Selected Papers / / edited by Manish Prateek, Durgansh Sharma, Rajeev Tiwari, Rashmi Sharma, Kamal Kumar, Neeraj Kumar
Next Generation Computing Technologies on Computational Intelligence : 4th International Conference, NGCT 2018, Dehradun, India, November 21–22, 2018, Revised Selected Papers / / edited by Manish Prateek, Durgansh Sharma, Rajeev Tiwari, Rashmi Sharma, Kamal Kumar, Neeraj Kumar
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (xix, 375 pages) : illustrations
Disciplina 004.3
Collana Communications in Computer and Information Science
Soggetto topico Computer science
Application software
Artificial intelligence
Computer Science
Computer and Information Systems Applications
Artificial Intelligence
ISBN 981-15-1718-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Image Processing, Pattern Analysis and Machine Vision -- Information and Data Convergence -- Disruptive Technologies for Future -- E-Governance and Smart World.
Record Nr. UNINA-9910357842903321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019) / / edited by Pradeep Kumar Singh, Wiesław Pawłowski, Sudeep Tanwar, Neeraj Kumar, Joel J. P. C. Rodrigues, Mohammad Salameh Obaidat
Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019) / / edited by Pradeep Kumar Singh, Wiesław Pawłowski, Sudeep Tanwar, Neeraj Kumar, Joel J. P. C. Rodrigues, Mohammad Salameh Obaidat
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (886 pages)
Disciplina 006.3
Collana Lecture Notes in Networks and Systems
Soggetto topico Computational intelligence
Machine learning
Telecommunication
Data protection
Computational Intelligence
Machine Learning
Communications Engineering, Networks
Data and Information Security
ISBN 981-15-3369-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part 1: Communication & Network Technologies -- Chapter 1. State Of The Art: A Review on Vehicular Communications, Impact of 5g, Fractal Antennas for Future Communication -- Chapter 2. Energy Enhancement of TORA and DYMO by Optimization of Hello Messaging using BFO for MANET's -- Chapter 3. Horseshoe Shaped Multiband Antenna for Wireless Application -- Chapter 4. A Review Paper on Performance Analysis of IEEE 802.11e -- Chapter 5. Voice Control IOT Devices Framework for Smart Home -- Chapter 6. Comprehensive Analysis of Social based Opportunistic Routing Protocol: A Study -- Chapter 7. An Efficient Delay based Load Balancing using AOMDV in MANET -- Chapter 8. Metaheuristic-based Intelligent Solutions Searching Algorithms of Ant Colony Optimization and Backpropagation in Neural Networks -- Chapter 9. Evaluating Cohesion Score with Email Clustering.-Chapter 10. Congestion Control for Named Data Networking Based Wireless Ad-hoc Network.-Chapter 11. A Comparative review of various techniquesfor Image Splicing Detection and Localization..-Chapter 12. Analysis and Synthesis of Performance Parameter of Rectangular Patch Antenna -- Part 2: Advanced Computing Technologies & Latest Electrical & Electronics Trends -- Chapter 13. Fog Computing Research Opportunities & Challenges: A Comprehensive Survey -- Chapter 14. IIGPTS: IoT-based framework for Intelligent Green Public Transportation System -- Chapter 15. Integrating the AAL CasAware platform within an IoT ecosystem, leveraging the INTER-IoT approach. .
Record Nr. UNINA-9910482986403321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui