Advanced Computing Techniques in Engineering and Technology : First International Conference, ACTET 2023, Jaipur, India, December 18-19, 2023, Proceedings

• Autore: Bansal Ramesh C
• Pubblicazione: Cham : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (121 pages)
• Altri autori: FavorskayaMargarita N SiddiquiShahbaz Ahmed JainPooja TandonAnkush
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Real Time Pattern Recognition with Support Vector Machines and Local Binary Patterns -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Creation -- 3.2 Face Detection and Extraction -- 3.3 Gradient Calculation -- 3.4 Orientation Binning -- 3.5 Face Placement -- 3.6 Face Encoding -- 3.7 Face Matching -- 3.8 Updating Attendances in Database -- 4 Results -- 5 Conclusion -- References -- Adversarial Attacks and Defenses in Capsule Networks: A Critical Review of Robustness Challenges and Mitigation Strategies -- 1 Introduction -- 2 Adversarial Attacks on Capsule Networks -- 3 What are the Potential Consequences of Adversarial Attacks on Machine Learning Algorithms? -- 3.1 Untargeted vs Targeted Attack -- 3.2 One Shot vs Iterative Attack -- 3.3 White Box and Black Box Attack -- 4 Research Questions -- 5 Review of Literature -- 6 Methodological Comparison -- 7 How Do Researchers Evaluate Potential Attacks or Defenses for Adversarial Machine Learning? -- 7.1 Input Denoising -- 7.2 Model Robustification -- 7.3 Adversarial Detection -- 8 Existing Defense Mechanisms in Adversarial Attack -- 9 Existing Research Limitations -- 10 How Effective are the Current Defenses Against Adversarial Attacks on Machine Learning Algorithms? -- 11 How Do Capsule Neural Networks Differ from Other Types of Neural Networks in Their Susceptibility to Adversarial Attacks? Are There any Current Solutions or Defenses Against Adversarial Attacks on Machine Learning Algorithms? -- 12 Open Challenges and Future Directions -- 13 Conclusion and Future Work -- References -- Control Schemes for Hybrid AC-DC Microgrid -- 1 Introduction -- 2 Different Architecture of MICROGRID -- 2.1 AC Coupled Microgrid -- 2.2 DC Coupled Microgrid -- 2.3 AC-DC Coupled Microgrid -- 3 Control Mechanism in AC-DC COUPLED HYBRID MICROGRIDS. ; 3.1 Primary Control -- 3.2 Secondary Control -- 3.3 Tertiary Control -- 4 ILC Control Methods -- 4.1 ILC Unified Control -- 4.2 ILC with ESS -- 4.3 Multiple Bidirectional ILCs Control -- 5 Critical Review -- 6 Conclusion -- References -- Design of Low Power and Energy Efficient Write Driver with Bitline Leakage Compensation for SRAM -- 1 Introduction -- 2 SRAM Cell and Array Architecture -- 2.1 Write Operation in Cell -- 3 Previous Write Drivers -- 3.1 Pass-Gate based (PG) Write Driver [9, 10] -- 3.2 AND-Gate based (AG) Write Driver [11] -- 3.3 Transmission-Gate Based (TG) Write Driver[11] -- 3.4 NOR-Gate based (NG) Write Driver [12, 13] -- 4 Proposed Write Driver Design -- 4.1 Structure of the Proposed Write Driver -- 4.2 Working Mechanism -- 4.3 Bitline Leakage-Compensation -- 5 Simulation and Discussion -- 5.1 Process Corner based Variations -- 5.2 Supply Voltage Based Variations -- 5.3 Temperature Based Variations -- 5.4 PVT-variations -- 5.5 Frequency Based Variations -- 6 Conclusion -- References -- Review of Synergistic Integration of Microstrip Patch Antennas in Biomedical and Artificial Intelligence Domains -- 1 Introduction -- 2 Literature Review -- 2.1 Microstrip Antenna in Bio-Medical -- 2.2 Radio Frequency Identification (RFID) Technology Used in Bio-Medical -- 2.3 Microstrip Patch Antenna in Artificial Intelligence -- 2.4 Advantages of Microstrip Patch Antenna in Artificial Intelligence -- 2.5 Application of Microstrip Patch Antenna in Artificial Intelligence -- 3 Synthetic Neural Networks -- 4 Conclusion -- References -- An Optimal Design of an MLFNN Coupled with Genetic Algorithm for Prediction of MIG-CO2 Welding Process -- 1 Introduction and Literature Review -- 2 Experiments and Data Collection -- 3 Techniques for Analysis -- 3.1 Regression Analysis -- 3.2 Neural Networks-Based Methods -- 4 Results and Discussion. ; 4.1 The Regression Modeling -- 5 Conclusion -- References -- Stochastic Model for Estimation of Aggregated EV Charging Load Demand -- 1 Introduction -- 2 Estimation of EV Fast Charging Load Profile -- 2.1 Estimation of Daily Driven Mileage -- 2.2 Estimation of Temporal Vehicle Distribution -- 2.3 Estimation of Charging Demand -- 3 Methodology -- 4 Results and Discussions -- 5 Conclusions -- References -- Author Index.
• Titolo autorizzato: Advanced Computing Techniques in Engineering and Technology
• ISBN: 3-031-54162-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910842299403321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science Series