Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises : Theoretical Insights with Practical Applications / / edited by Abhishek Kumar, Fernando Ortiz-Rodriguez, Jose Braga De Vasconcelos, Pushan Kumar Dutta, Hemant Kumar Saini, Pramod Singh Rathore
| Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises : Theoretical Insights with Practical Applications / / edited by Abhishek Kumar, Fernando Ortiz-Rodriguez, Jose Braga De Vasconcelos, Pushan Kumar Dutta, Hemant Kumar Saini, Pramod Singh Rathore |
| Autore | Kumar Abhishek |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (474 pages) |
| Disciplina | 620.00285 |
| Altri autori (Persone) |
Ortiz-RodriguezFernando
De VasconcelosJose Braga Kumar DuttaPushan SainiHemant Kumar RathorePramod Singh |
| Collana | Information Systems Engineering and Management |
| Soggetto topico |
Engineering - Data processing
Biomedical engineering Computational intelligence Neurosciences Data Engineering Biomedical Engineering and Bioengineering Computational Intelligence Neuroscience |
| ISBN | 3-031-91147-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Virtual Ai Assistant Ai In Mental Healthcare -- Leveraging Deep Generative Models For Early Diagnosis And Personalized Care In Neurological And Mental Health Disorders -- A Comprehensive Review Of Deep Generative Techniques In The Study And Management Of Neurological Disorders -- Advancements In Neuroimaging And Deep Learning A Review Of Core Principles, Methodologies, And Emerging Applications -- Ethical Considerations And Regulatory Compliance In Ai Driven Diagnostics -- Neuro Imaging Based Alzheimerdisease Detection By Segmentation With Classification Using Machine Learning Algorithms -- Neuro Imaging Based Alzheimer Disease Detection Using Generative Adversarial Model With Deep Learning Algorithm -- Early Diagnosis Of Alzheimer’s Disease Using Adversarial Techniques -- Classification Of Mental Disorder With Deep Generative Models -- Practical Implementation And Integration Of Ai In Mental Healthcare. |
| Record Nr. | UNINA-9911015628503321 |
Kumar Abhishek
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AI-Driven Innovations in Physiotherapy and Oncology, Volume 1
| AI-Driven Innovations in Physiotherapy and Oncology, Volume 1 |
| Autore | Kumar Abhishek |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2026 |
| Descrizione fisica | 1 online resource (319 pages) |
| Collana | ISTE Invoiced Series |
| ISBN |
1-394-42352-7
1-394-42350-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911042411703321 |
|
Kumar Abhishek
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AI-Driven Innovations in Physiotherapy and Oncology, Volume 2
| AI-Driven Innovations in Physiotherapy and Oncology, Volume 2 |
| Autore | Kumar Abhishek |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2026 |
| Descrizione fisica | 1 online resource (442 pages) |
| Collana | ISTE Invoiced Series |
| ISBN |
1-394-42355-1
1-394-42353-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911040927703321 |
|
Kumar Abhishek
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Beginning PBR Texturing : Learn Physically Based Rendering with Allegorithmic’s Substance Painter / / by Abhishek Kumar
| Beginning PBR Texturing : Learn Physically Based Rendering with Allegorithmic’s Substance Painter / / by Abhishek Kumar |
| Autore | Kumar Abhishek |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 |
| Descrizione fisica | 1 online resource (270 pages) : illustrations |
| Disciplina | 794.815 |
| Soggetto topico |
Computer games—Programming
Computer graphics Game Development Computer Graphics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: What Is Our Goal in This Book? -- Chapter 2: Graphics in the Game Industry -- Chapter 3: The Workflow of Texturing -- Chapter 4: Texturing Games vs Texturing Movies -- Chapter 5: PBR Texturing vs Traditional Texturing -- Chapter 6: Substance Suite and Substance Painter -- Chapter 7: Hardware Specifications for Your Computer -- Chapter 8: Painter's Graphical User Interface -- Chapter 9: Viewport Navigation in Painter -- Chapter 10: Project Setup: Importing a 3D Model into Painter -- Chapter 11: Baking and the Importance of Mesh Maps -- Chapter 12: Working with Materials, Layers, and Masks -- Chapter 13: Working with Procedural Maps -- Chapter 14: Substance Anchors -- Chapter 15: Rendering with Iray -- Chapter 16: Integration with Marmoset, Maya, and Blender -- Chapter 17: Rendering a Portfolio -- Chapter 18: Integration with Unreal Engine (UE4) -- Chapter 19: Tips and Tricks of Substance Painter. |
| Altri titoli varianti | Beginning physically based rendering texturing |
| Record Nr. | UNINA-9910409996503321 |
|
Kumar Abhishek
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Beginning VFX with Autodesk Maya : Create Industry-Standard Visual Effects from Scratch
| Beginning VFX with Autodesk Maya : Create Industry-Standard Visual Effects from Scratch |
| Autore | Kumar Abhishek |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress L. P., , 2021 |
| Descrizione fisica | 1 online resource (389 pages) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9781484278574
9781484278567 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910513582603321 |
|
Kumar Abhishek
|
||
| Berkeley, CA : , : Apress L. P., , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Beginning VFX with Autodesk Maya : create industry-standard visual effects from scratch / / Abhishek Kumar
| Beginning VFX with Autodesk Maya : create industry-standard visual effects from scratch / / Abhishek Kumar |
| Autore | Kumar Abhishek |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Apress, , [2021] |
| Descrizione fisica | 1 online resource (389 pages) |
| Disciplina | 006.696 |
| Soggetto topico |
Computer animation
Computer graphics |
| ISBN | 1-4842-7857-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction to Visual Effects (VFX) -- Chapter 2: History of Visual Effects -- Chapter 3: Industrial Applications of VFX -- Chapter 4: Introduction to FX in Maya -- Chapter 5: Working with n-Particle FX -- Chapter 6: Creating Effects with Particle Emission, Fields/Solvers -- Chapter 7: Maya Rigid and Soft Body Systems -- Chapter 8: Working with Maya Fluids -- Chapter 9: Magical FX Using Maya -- Chapter 10: Playing with Maya nCloth -- Chapter 11: Maya Hair FX Simulation -- Chapter 12: Bifrost Simulation -- Chapter 13: Procedural Animation FX and Live Action Integration. |
| Record Nr. | UNINA-9910523001503321 |
|
Kumar Abhishek
|
||
| [Place of publication not identified] : , : Apress, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Blockchain and the Water Supply Chain : Opportunities, Challenges and Innovations
| Blockchain and the Water Supply Chain : Opportunities, Challenges and Innovations |
| Autore | Kumar Abhishek |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Altri autori (Persone) |
BattaPriya
ManojS. Oswalt ChinnathambiDhaya RaviSrivel |
| Collana | ISTE Invoiced Series |
| ISBN |
1-394-41780-2
1-394-41778-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911034867403321 |
|
Kumar Abhishek
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Blockchain in the Tourism Industry: A New Era of Secure and Transparent Travel Solutions / / edited by Abhishek Kumar, António Abreu, Priya Batta, Sachin Ahuja, Pramod Singh Rathore
| Blockchain in the Tourism Industry: A New Era of Secure and Transparent Travel Solutions / / edited by Abhishek Kumar, António Abreu, Priya Batta, Sachin Ahuja, Pramod Singh Rathore |
| Autore | Kumar Abhishek |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (357 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
AbreuAntónio
BattaPriya AhujaSachin RathorePramod Singh |
| Collana | Information Systems Engineering and Management |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Quantum computers Computational Intelligence Data Engineering Quantum Computing |
| ISBN |
9783031953415
9783031953408 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Blockchain in Tourism Opening the Door to Safe, Transparent, and Decentralized Travel Solutions -- Blockchain Fundamentals and Its Applications in the Tourism Industry -- Blockchain in Hospitality and Accommodation -- Decentralized Tourism The Transformative Role of Blockchain in the Travel Industry -- Blockchain Powered Airlines: Enhancing Security, Transparency, and Efficiency in Aviation -- Blockchain Applications in Aviation Securing Transactions, Streamlining Operations, and Improving Passenger Experience -- Enhancing Supply Chain Transparency and Efficiency in Tourism through Blockchain Technology -- Clear Travel Networks: Improving Logistics Efficiency via Blockchain -- Distributed Voyages Blockchain’s Safeguard for Traveler Authentication -- Blockchain in Tourism Enhancing Security, Reducing Fraud, and Revolutionizing Customer Engagement -- Cross Border Collaboration in the New Digital Era with Blockchain Integration -- Blockchain for Digital Tourism in Northeast India Understanding Tourist Priorities Using Best Worst Scaling -- Emerging Trends and Innovation of Blockchain in Tourism. |
| Record Nr. | UNINA-9911018751903321 |
|
Kumar Abhishek
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Dynamic Soil Properties and Liquefaction : Select Proceedings of 8th ICRAGEE 2024 / / edited by Abhishek Kumar, B.K. Maheshwari, Rajib Sarkar
| Dynamic Soil Properties and Liquefaction : Select Proceedings of 8th ICRAGEE 2024 / / edited by Abhishek Kumar, B.K. Maheshwari, Rajib Sarkar |
| Autore | Kumar Abhishek |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (375 pages) |
| Disciplina | 624.151 |
| Altri autori (Persone) |
MaheshwariB. K
SarkarRajib |
| Collana | Lecture Notes in Civil Engineering |
| Soggetto topico |
Geotechnical engineering
Rock mechanics Soil mechanics Engineering geology Geotechnical Engineering and Applied Earth Sciences Soil and Rock Mechanics Geoengineering |
| ISBN | 981-9616-06-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Field and laboratory testing of soils for the estimation of dynamic soil properties -- Chapter 2: Latest findings on liquefaction of soils -- Chapter 3: Seismic slope stability and landslides -- Chapter 4: Seismic design of retaining walls, marine structures, and dams -- Chapter 5: Seismic design of shallow and deep foundations -- Chapter 6: Soil-structure interaction under dynamic loading -- Chapter 7: Engineering seismology, strong ground motions.-Chapter 8: Ground response analyses and local site effects -- Chapter 9: Seismic hazard analyses: zonation, microzonation, risk assessment -- Chapter 10: Ground improvement techniques for reduction of seismic hazard -- Chapter 11: Role of building codes in reduction of seismic risk. |
| Record Nr. | UNINA-9911020416003321 |
|
Kumar Abhishek
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolving Predictive Analytics in Healthcare : New AI Techniques for Real-Time Interventions
| Evolving Predictive Analytics in Healthcare : New AI Techniques for Real-Time Interventions |
| Autore | Kumar Abhishek |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Piraí : , : Institution of Engineering & Technology, , 2022 |
| Descrizione fisica | 1 online resource (362 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
DubeyAshutosh Kumar
BhatiaSurbhi KumarSwarn Avinash LeDac-Nhuong |
| Collana | Healthcare Technologies |
| Soggetto topico |
Artificial intelligence - Medical applications
Predictive analytics |
| ISBN |
1-83724-475-8
1-5231-5343-1 1-83953-512-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Title -- Copyright -- Contents -- About the Editors -- 1 COVID-19 detection in X-ray images using customized CNN model -- 1.1 Introduction -- 1.2 Related work -- 1.2.1 Key contributions and proposed work -- 1.3 Materials and methods -- 1.3.1 Feature extraction and selection -- 1.4 Results and discussion -- 1.5 Conclusion and future scope -- References -- 2 Introducing deep learning in medical diagnosis -- 2.1 Introduction -- 2.2 Literature survey -- 2.3 Overview of DL algorithms -- 2.3.1 Convolutional neural network -- 2.3.2 Recurrent neural network -- 2.3.3 Long short-term memory 2.3.4 Restricted Boltzmann machine -- 2.3.5 Deep belief networks -- 2.4 Proposed DL framework for neuro disease diagnosis -- 2.4.1 FAST-RCNN -- 2.4.2 Ten fully connected layer -- 2.5 Preprocessing of dataset -- 2.6 Implementation and results -- 2.7 Conclusion -- References -- 3 Intelligent approach for network intrusion detection system (NIDS) utilizing machine learning (ML) -- 3.1 Introduction -- 3.1.1 DoS and DDoS attacks -- 3.1.2 Man-in-the-middle (MitM) attack -- 3.1.3 Phishing and spear-phishing attacks -- 3.1.4 Password attack -- 3.1.5 Eavesdropping attack -- 3.1.6 Malware attack 3.2 Related work -- 3.3 Cloud computing -- 3.3.1 Machine learning -- 3.3.2 Exploratory data analysis -- 3.4 Results -- References -- 4 Classification methodologies in healthcare -- 4.1 Introduction -- 4.2 Classification algorithms -- 4.2.1 Statistical data -- 4.2.2 Discriminant analysis -- 4.2.3 Decision tree -- 4.2.4 K-nearest neighbor (KNN) -- 4.2.5 Logistic regression (LR) -- 4.2.6 Bayesian classifier -- 4.2.7 Support vector machine (SVM) -- 4.3 Parameter identification -- 4.3.1 Feature selection for classi cation -- 4.4 Real-time applications 4.4.1 Classification of patients based on medical record -- 4.4.2 Predictive analytics and diagnostic analytics based on medical records -- 4.4.3 Classification of diseases based on medical imaging -- 4.4.4 Mixed reality-based automation to help aid aging society -- 4.4.5 Tiny ML-based classification systems for medical gadgets -- 4.4.6 Classification systems for insurance claim management -- 4.4.7 Case study: Inspectra from Perceptra -- 4.4.8 Deep learning for beginners -- References -- 5 Introducing deep learning in medical domain -- 5.1 Introduction -- 5.1.1 DL in a nutshell 5.1.2 History of DL in the medical field -- 5.1.3 Benefits of DL in the medical domain -- 5.1.4 Challenges and obstacles of DL in the medical domain -- 5.1.5 Opportunities of DL in the medical field -- 5.2 DL applications in the medical domain -- 5.2.1 Drug discovery and medicine precision -- 5.2.2 Detection of diseases -- 5.2.3 Diagnosing patients -- 5.2.4 Healthcare administration -- 5.3 DL for medical image analysis -- 5.3.1 Medical image detection -- 5.3.2 Medical image recognition -- 5.3.3 Medical image segmentation -- 5.3.4 Medical image registration. |
| Altri titoli varianti | Evolving Predictive Analytics in Healthcare |
| Record Nr. | UNINA-9911007017203321 |
|
Kumar Abhishek
|
||
| Piraí : , : Institution of Engineering & Technology, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
