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Advances in Engineering Design : Select Proceedings of FLAME 2022 / / edited by Rohit Sharma, Ravindra Kannojiya, Naveen Garg, Sachin S. Gautam
| Advances in Engineering Design : Select Proceedings of FLAME 2022 / / edited by Rohit Sharma, Ravindra Kannojiya, Naveen Garg, Sachin S. Gautam |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (816 pages) |
| Disciplina | 929.374 |
| Collana | Lecture Notes in Mechanical Engineering |
| Soggetto topico |
Engineering design
Computer-aided engineering Mechanics, Applied Solids Engineering Design Computer-Aided Engineering (CAD, CAE) and Design Solid Mechanics |
| ISBN | 981-9930-33-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Estimation of Lacunar Permeability in Anatomical Regions of Femoral Cortex: Endocortical vs. Periosteal -- Design of Efficient Finite Elements using Deep Learning Approach -- Design of Efficient Quadrature Scheme in Finite Element Using Deep Learning -- Accelerating Finite Element Assembly on a GPU -- Design and Optimization of Path Planning Bot Based on ROS -- Design and Fabrication of PLA Printed Wearable Exoskeleton with 7 DOF for Upper Limb Physiotherapy Training and Rehabilitation -- Framework for Design and Control of Automatic Stone - Glass Separator -- Buckling Analysis of Piston Rod for Hydraulic Cylinder of Cotton Bale Press Machine -- Manufacturing Process Related Challenges of Additive Manufactured Parts: A Review -- Modelling of Kinematic Chains and Mechanisms with Special Emphasis on Multi-linked Jointed Chain Mechanisms -- Design And Analysis of a Spherical Joint Mechanism for Robotic Manipulators. |
| Record Nr. | UNINA-9910741145103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Analytics for Smart Grids Applications--A Key to Smart City Development
| Data Analytics for Smart Grids Applications--A Key to Smart City Development |
| Autore | Kumar Sharma Devendra |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (466 pages) |
| Altri autori (Persone) |
SharmaRohit
JeonGwanggil KumarRaghvendra |
| Collana | Intelligent Systems Reference Library |
| ISBN | 3-031-46092-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- About This Book -- Key Features -- Contents -- About the Editors -- 1 Data Analytics for Smart Grids and Applications-Present and Future Directions -- 1.1 Introduction -- 1.2 Literature Review -- 1.3 Smart Grid Infrastructure -- 1.4 Data Analytics in Smart Grids -- 1.4.1 Data Pre Processing Techniques in Smart Grids -- 1.4.2 Case Study of Data Analytics in Smart Grids -- 1.5 Artificial Intelligence in Smart Grids -- 1.5.1 Event Detection Using Data Analytics and Cloud Computing for Intelligent IoT System -- 1.6 Conclusion -- References -- 2 Design, Optimization and Performance Analysis of Microgrids Using Multi-agent Q-Learning -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Proposed Model -- 2.4 Experiments -- 2.5 Conclusion -- References -- 3 Big Data Analytics for Smart Grid: A Review on State-of-Art Techniques and Future Directions -- 3.1 Introduction -- 3.2 State-of-Art Techniques for Big Data Analytics in Smart Grids -- 3.3 Challenges in Big Data Analytics for Smart Grids -- 3.4 Big Data Analytics for Smart Grids -- 3.5 Applications of Big Data Analytics in Smart Grids -- 3.6 Challenges and Future Directions for Big Data Analytics in Smart Grids -- 3.7 Case Studies of Big Data Analytics in Smart Grids -- 3.7.1 Case Study 1: Duke Energy's Grid Modernization Program -- 3.7.2 Case Study 2: National Grid's Smart Grid Program -- 3.7.3 Case Study 3: ENEL's Smart Grid Program -- 3.8 Future Directions for Big Data Analytics in Smart Grids -- 3.9 Real-Time Big Data Analytics for Smart Grids -- 3.10 Conclusion -- References -- 4 Smart Grid Management for Smart City Infrastructure Using Wearable Sensors -- 4.1 Introduction -- 4.1.1 Smart Grid Versus Traditional Electricity Grids -- 4.1.2 Why Do We Need Smart Grids? -- 4.1.3 Smart Grid Features -- 4.1.4 Smart Grid Technologies -- 4.1.5 Smart Grid Approaches.
4.1.6 Smart Meters and Home EMS -- 4.1.7 Smart Appliances -- 4.1.8 Home Power Generation -- 4.1.9 Machine Learning for Data Analytics in Smart Grids and Energy Management -- 4.1.10 Security for Industrial Control Systems in Smart Grids -- 4.1.11 Power Flow Modelling and Optimization in Smart Grids -- 4.1.12 Grid Stability and Security in Smart Grids -- 4.1.13 Integration of Renewable Energy Sources in Smart Grid Management -- 4.1.14 Demand Response Strategies for Efficient Smart Grid Management -- 4.1.15 Cybersecurity Measures for Smart Grid Management -- 4.1.16 Energy Storage Systems and Their Role in Smart Grid Management -- 4.1.17 Data Analytics and Artificial Intelligence in Smart Grid Management -- 4.1.18 Smart Grid Communication Protocols and Infrastructure -- 4.1.19 Advantages of Smart Grids -- 4.1.20 Disadvantages of Smart Grids -- 4.2 Conclusion -- References -- 5 Studies on Conventional and Advanced Machine Learning Algorithm Towards Framing of Robust Data Analytics for the Smart Grid Application -- 5.1 Introduction -- 5.2 Review of Different Smart Grid Based Approaches -- 5.3 Smart Grid Model -- 5.3.1 Smart Grids as Coordinators for Data Flow and Energy Flow -- 5.3.2 Big Data -- 5.4 Features of Big Data to Be Integrated into the Smart Grid -- 5.5 Contribution of the Smart Grid as Data Source -- 5.6 Smart Grid in Supply of Data Gathering -- 5.6.1 Data Transmission Methodology -- 5.6.2 Data Analysis Methodology -- 5.6.3 Data Extraction from Smart Grid -- 5.6.4 Grid for Production of Renewable Source of Energy -- 5.6.5 Big Data in Smart Grid -- 5.6.6 Machine Learning Approach to the Data Grid -- 5.6.7 Application of IOT to the Smart Grid Technology -- 5.7 IOT Based Solutions Towards Grid Problems -- 5.7.1 Stability of IOT Based Connection -- 5.7.2 Cost Effectiveness in Implementation -- 5.7.3 Security to the Information. 5.8 Application of Data Grid in Mobile Sink Based Wireless Sensor Network -- 5.8.1 Assumptions of Network Characteristics -- 5.9 Virtual Grid Architecture -- 5.9.1 Different Structures of Virtual Grids -- 5.9.2 Virtual Grid Construction Cost -- 5.9.3 Reading of the Smart Meter Data and Its Analysis by the Smart Grid with Future Prediction -- 5.9.4 Prediction Analysis of Smart Meter Data -- 5.10 Future Research Direction -- 5.11 Conclusion -- References -- 6 Prediction and Classification for Smart Grid Applications -- 6.1 Introduction -- 6.2 Smart Grid -- 6.3 Predictive and Classification Models in Smart Grid Applications -- 6.4 Predictive Modeling -- 6.5 Classification Modeling -- 6.6 Smart Grid Management -- 6.7 Intelligent Data Collection Devices -- 6.8 Data Science Pertaining to Smart Grid Analytics -- 6.9 Machine Learning for Data Analytics -- 6.10 Data Security for Smart Grid Applications -- 6.11 Conclusion -- References -- 7 A Review on Smart Metering Using Artificial Intelligence and Machine Learning Techniques: Challenges and Solutions -- 7.1 Introduction -- 7.1.1 Trends of the Smart Metering Systems -- 7.1.2 Challenges of Smart Meters -- 7.1.3 Key Elements of Smart Meter -- 7.1.4 IoT in Smart Metering -- 7.1.5 Integration of IoT with AI and Machine Learning for Smart Meter -- 7.1.6 Artificial Intelligence Techniques -- 7.2 Conclusion -- References -- 8 Machine Learning Applications for the Smart Grid Infrastructure -- 8.1 Introduction -- 8.2 IoT in Distribution System -- 8.3 Techniques Using Machine Learning -- 8.4 Conclusion -- References -- 9 A Privacy Mitigating Framework for the Smart Grid Internet of Things Data -- 9.1 Introduction -- 9.1.1 Overview of the Smart Grid and Its Significance in Modern Energy Systems -- 9.1.2 Introduction to the IoT and Its Integration with the Smart Grid -- 9.1.3 Importance of Privacy in Smart Grid IoT Data. 9.2 Privacy Challenges in Smart Grid IoT Data -- 9.3 Privacy Mitigation Techniques -- 9.4 Privacy Mitigation Framework for Smart Grid -- 9.4.1 Privacy Monitoring Engine Description -- 9.5 Results -- 9.6 Conclusion -- References -- 10 Protecting Future of Energy: Data Security and Privacy for Smart Grid Applications Using MATLAB -- 10.1 Introduction -- 10.1.1 Data Security and Privacy Threats -- 10.1.2 Data Security and Privacy Solutions -- 10.1.3 MATLAB Solution -- 10.1.4 Key Features and Capabilities -- 10.2 MATLAB Tools and Inbuilt Functions for Data Security in Applications of Smart Grid -- 10.3 MATLAB Functions for Data Security and Privacy in Smart Grid Applications Include -- 10.4 MATLAB Techniques for Data Security and Privacy in Smart Grid Applications -- 10.5 Matlab Algorithm for Privacy-Preserving Data Mining for Smart Grid Applications -- 10.6 Threats to Data Security and Privacy in Smart Grid Applications -- 10.6.1 Preventive Measures -- 10.7 Case Studies and Practical Implementations of Data Security and Privacy in Smart Grid Applications -- 10.7.1 Case Study 1: Securing Smart Meters Using Blockchain -- 10.7.2 Case Study 2: Machine Learning-Based Anomaly Detection in Power Grids -- 10.7.3 Case Study 3: Privacy-Preserving Data Aggregation in Smart Grids -- 10.7.4 Case Study 4: Secure Data Sharing in Smart Grids Using Homomorphic Encryption -- 10.7.5 Case Study 5: Anomaly Detection in Smart Grids Using Machine Learning (ML) with Matlab -- 10.8 Conclusion -- References -- 11 Revolutionizing Smart Grids with Big Data Analytics: A Case Study on Integrating Renewable Energy and Predicting Faults -- 11.1 Introduction -- 11.2 Current Trends in Smart Grid Based Big Data Analytics -- 11.2.1 There is a Notable Surge in Speculation in Smart Grid Projects and, Consequently, Smart Grid Analytics [9-11]. 11.2.2 Smart Grid Analytics Effectively Handle Real-Time Data Despite the Increased Speed and Diverse Requirements -- 11.2.3 Digital Technologies and Cloud Computing Will Continue to Improve, Facilitating Enhanced Data Computation Capabilities -- 11.2.4 Smart Grid and Its Benefits for Renewable Energy -- 11.3 Challenges of Smart Grid Analytics -- 11.3.1 Benefits of Analytics in Smart Grid -- 11.3.2 Trends in the Utility Industry -- 11.4 Technologies for Smart Grid Analytics and Its Importance -- 11.4.1 Business Intelligence (BI) and Data Analysis -- 11.4.2 Other Framework Technologies-Databases Such as Apache Hadoop, MapReduce, and SQL -- 11.4.3 The Significance of Big Data in Smart Grid Analytics -- 11.5 Gaining Perceptions Through a Smart Grid and Big Data: A Case Study -- 11.5.1 Case Studies in Focus -- 11.5.2 Smart Grid Based Data Analytics Use-Cases in Europe -- 11.6 Future and Scope of Big Data Analytics in Smart Grids -- 11.6.1 Customer Acceptance and Engagement -- 11.6.2 Regulatory Policies -- 11.6.3 Innovative Structures -- 11.7 Conclusion -- References -- 12 Fake User Account Detection in Online Social Media Networks Using Machine Learning and Neural Network Techniques -- 12.1 Introduction -- 12.1.1 Statistics of Social Media Usage -- 12.1.2 Why Are Fake Profiles Created? -- 12.2 Literature Review -- 12.3 Proposed System for Detecting Fake Accounts on Twitter Using AI -- 12.3.1 Artificial Neural Network (ANN) -- 12.3.2 Support Vector Machine (SVM) -- 12.3.3 Random Forest (RF) -- 12.4 Findings and Discussions -- 12.5 Conclusion -- References -- 13 Data Analytics for Smart Grids Applications to Improve Performance, Optimize Energy Consumption, and Gain Insights -- 13.1 Introduction -- 13.2 Leveraging Smart Grids for Predictive Energy Analytics -- 13.3 Big Data Analytics for Grid Resiliency and Security. 13.4 Machine Learning Techniques for Smart Grid Optimization. |
| Record Nr. | UNINA-9910767529203321 |
Kumar Sharma Devendra
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ICMETE 2018 : 2nd International Conference on Micro-Electronics and Telecommunication Engineering : proceedings : Ghaziabad, India, 20-21 September 2018 / / edited by Devendra Kumar Sharma, Rohit Sharma ; technically sponsored by Institute of Electrical and Electronics Engineers
| ICMETE 2018 : 2nd International Conference on Micro-Electronics and Telecommunication Engineering : proceedings : Ghaziabad, India, 20-21 September 2018 / / edited by Devendra Kumar Sharma, Rohit Sharma ; technically sponsored by Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (352 pages) |
| Disciplina | 621.381 |
| Soggetto topico |
Microelectronics
Telecommunication |
| ISBN | 1-5386-6918-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910330360203321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ICMETE 2018 : 2nd International Conference on Micro-Electronics and Telecommunication Engineering : proceedings : Ghaziabad, India, 20-21 September 2018 / / edited by Devendra Kumar Sharma, Rohit Sharma ; technically sponsored by Institute of Electrical and Electronics Engineers
| ICMETE 2018 : 2nd International Conference on Micro-Electronics and Telecommunication Engineering : proceedings : Ghaziabad, India, 20-21 September 2018 / / edited by Devendra Kumar Sharma, Rohit Sharma ; technically sponsored by Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (352 pages) |
| Disciplina | 621.381 |
| Soggetto topico |
Microelectronics
Telecommunication |
| ISBN | 1-5386-6918-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996577842203316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Micro-Electronics and Telecommunication Engineering : Proceedings of 3rd ICMETE 2019 / / edited by Devendra Kumar Sharma, Valentina Emilia Balas, Le Hoang Son, Rohit Sharma, Korhan Cengiz
| Micro-Electronics and Telecommunication Engineering : Proceedings of 3rd ICMETE 2019 / / edited by Devendra Kumar Sharma, Valentina Emilia Balas, Le Hoang Son, Rohit Sharma, Korhan Cengiz |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 735 p. 413 illus., 305 illus. in color.) |
| Disciplina | 621.381 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Electronics
Microelectronics Power electronics Electrical engineering Artificial intelligence Electronics and Microelectronics, Instrumentation Power Electronics, Electrical Machines and Networks Communications Engineering, Networks Artificial Intelligence |
| ISBN | 981-15-2329-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Radio Direction Finding techniques for an Unmanned Aerial Vehicle -- Translation into Pali language from Brahmi Script -- A Fractal Boundary Wideband Antenna with DGS for X-Band Application -- An Approach to Automated Spam Detection Using Deep Neural Network and Machine Learning Classifiers -- Handling Sparsity in Cross Domain Recommendation Systems: Review -- Daily Rainfall Prediction Using Nonlinear Autoregressive Neural Network -- Adiabatic Design Implementation of Digital Circuits for Low Power Applications -- Parametric Classification of Dynamic Community Detection Techniques -- Survey on the Impact of FSM Design for High-performance Architecture Evaluation -- Design of Configurable Analog Block based Oscillator and Possible Applications -- Classification of Pre-diabetes and Healthy Subjects in Plantar Infrared Thermal Imaging Using Various Machine Learning Algorithms. |
| Record Nr. | UNINA-9910383834003321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multimedia technologies in the Internet of things environment . Volume 3 / / edited by Raghvendra Kumar, Rohit Sharma, and Prasant Kumar Pattnaik
| Multimedia technologies in the Internet of things environment . Volume 3 / / edited by Raghvendra Kumar, Rohit Sharma, and Prasant Kumar Pattnaik |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (237 pages) |
| Disciplina | 004.678 |
| Collana | Studies in Big Data |
| Soggetto topico |
Artificial intelligence
Internet of things Multimedia systems |
| ISBN | 981-19-0924-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910558489003321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multimedia technologies in the internet of things environment / / edited by Raghvendra Kumar, Rohit Sharma, Prasant Kumar Pattnaik
| Multimedia technologies in the internet of things environment / / edited by Raghvendra Kumar, Rohit Sharma, Prasant Kumar Pattnaik |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XVIII, 208 p. 88 illus., 57 illus. in color.) |
| Disciplina | 929.605 |
| Collana | Studies in Big Data |
| Soggetto topico |
Multimedia systems
Big data Computational intelligence |
| ISBN | 981-15-7965-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Smart Control and Monitoring of Irrigation System using Internet of Things -- Chapter 2. Blockchain-based Cyber Threat Mitigation Systems for Smart Vehicles and Industrial Automation -- Chapter 3. IT Convergence related Security Challenges for Internet of Things and Big Data -- Chapter 4. Applicability of Industrial IoT in Diversified Sectors: Evolution, Applications and Challenges -- Chapter 5. Recent emergine for inteliigent learning and analytics in Big data -- Chapter 6. Real Time Health System (RTHS) centered Internet of Things (IoT) in healthcare industry: benefits, use cases and advancements in 2020 -- Chapter 7. Building intelligent Integrated Development Environment for IoT in the context of Statistical modeling for Software Source code -- Chapter 8. Visualization of COVID-19 Pandemic: an Analysis through Machine Intelligent Technique towards Big Data Paradigm -- Chapter 9.Multimedia Security and Privacy on Real Time Behavioral Monitoring in Machine Learning IoT Application using Big Data Analytics Chapter 10. A robust approach with text analytics for bengalir digit recgnition using mechine learning -- Chapter 11. Internet of Things Based Security Model and Solutions for Educational Systems. |
| Record Nr. | UNINA-9910484574303321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multimedia Technologies in the Internet of Things Environment, Volume 2
| Multimedia Technologies in the Internet of Things Environment, Volume 2 |
| Autore | Kumar Raghvendra |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (242 pages) |
| Altri autori (Persone) |
SharmaRohit
PattnaikPrasant Kumar |
| Collana | Studies in Big Data Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-3828-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910497102903321 |
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Kumar Raghvendra
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New trends and applications in Internet of things (IoT) and big data analytics / / Rohit Sharma, Dilip Kumar Sharma, editors
| New trends and applications in Internet of things (IoT) and big data analytics / / Rohit Sharma, Dilip Kumar Sharma, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (278 pages) |
| Disciplina | 004.678 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Big data - Economic aspects
Internet of things |
| ISBN | 3-030-99329-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910568299603321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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VLSI Design and Test : 23rd International Symposium, VDAT 2019, Indore, India, July 4–6, 2019, Revised Selected Papers / / edited by Anirban Sengupta, Sudeb Dasgupta, Virendra Singh, Rohit Sharma, Santosh Kumar Vishvakarma
| VLSI Design and Test : 23rd International Symposium, VDAT 2019, Indore, India, July 4–6, 2019, Revised Selected Papers / / edited by Anirban Sengupta, Sudeb Dasgupta, Virendra Singh, Rohit Sharma, Santosh Kumar Vishvakarma |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 775 p. 545 illus., 336 illus. in color.) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer hardware
Computer organization Artificial intelligence Computer security Optical data processing Mathematical logic Computer Hardware Computer Systems Organization and Communication Networks Artificial Intelligence Systems and Data Security Image Processing and Computer Vision Mathematical Logic and Formal Languages |
| ISBN | 981-329-767-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analog and Mixed Signal Design -- Computing Architecture and Security -- Hardware Design and Optimization -- Low Power VLSI and Memory Design. -Device Modelling -- Hardware Implementation. |
| Record Nr. | UNINA-9910349286803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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