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Artificial intelligence and data science : first International Conference, ICAIDS 2021, Hyderabad, India, December 17-18, 2021, revised selected papers / / Ashwani Kumar [and five others]
| Artificial intelligence and data science : first International Conference, ICAIDS 2021, Hyderabad, India, December 17-18, 2021, revised selected papers / / Ashwani Kumar [and five others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (552 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Data mining |
| ISBN | 3-031-21385-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Artificial Intelligence -- Comparative Analysis of Advanced Machine Learning Based Techniques to Identify the Lung Cancer: A Review -- 1 Introduction -- 2 Background of Cancer Stages with Machine Learning -- 2.1 Lung Cancer Detection in Related Works -- 2.2 Additional Methods -- 3 Background of Cancer Stages with Machine Learning -- 4 Performance Analysis of Existing Techniques and Discussion -- 5 Conclusion -- References -- Classification and Identification of Objects in Images Using CNN -- 1 Introduction -- 2 Novelty -- 3 Background -- 3.1 Evolution of Computer Vision -- 3.2 CNN Architecture -- 4 Computer Vision Variants -- 4.1 Image Classification -- 4.2 Object Detection -- 4.3 Image Classification with Localization -- 4.4 Semantic Segmentation -- 4.5 Instance Segmentation -- 5 Application Areas -- 6 Research Challenges -- 7 Conclusion -- References -- An Appraisal of Cyber-Attacks and Countermeasures Using Machine Learning Algorithms -- 1 Introduction -- 2 Machine Learning in Intrusion Detection System -- 2.1 History -- 2.2 Intrusion Detection System Detection Methods -- 2.3 Type of Intrusion Detection System Alerts -- 2.4 Benchmarks or Datasets -- 2.5 Machine Learning Based Intrusion Detection System -- 3 Common Security Attacks -- 4 Counter Measures -- 5 Conclusion -- References -- A Systematic Review on Autonomous Vehicle: Traffic Sign Detection and Drowsiness Detection -- 1 Introduction -- 2 Taxonomy on Autonomous Vehicle -- 2.1 Traffic Sign Detection -- 2.2 Drowsiness Detection -- 3 Vehicle-Focused Studies and Systems -- 4 Problem Statement -- 5 Comparative Analysis -- 6 Conclusion -- References -- Crop Disease Auto-localization and Classification -- 1 Introduction -- 2 Problem Statement -- 3 Literature Review -- 4 Proposed Methodology -- 4.1 Dataset Preparation.
4.2 Image Segmentation Using DICOM Format -- 4.3 Feature Extraction -- 4.4 Transfer Learning -- 4.5 Model Analysis -- 4.6 Grad-CAM: For Model Performance Analysis -- 4.7 Bounding Box Regression -- 4.8 Model Deployment -- 5 Implementation -- 5.1 Augmentation and Pre-processing -- 5.2 DICOM Segmentation -- 5.3 VGG16 Model -- 5.4 Resnet50 Model -- 5.5 MobileNet V2 Model -- 5.6 Xception Model -- 5.7 Grad-CAM Analysis -- 5.8 Bounding Box Regression -- 5.9 Deployment -- 6 Results and Discussion -- 6.1 Classification: Models Analysis and Evaluation -- 6.2 Grad-CAM Visualization -- 6.3 Bounding Box Regression -- 6.4 Medical Imaging as a Segmentation Technique -- 7 Conclusion and Future Work -- References -- Challenges in Crop Selection Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 3.1 Data Collection -- 3.2 Feature Engineering -- 3.3 Model Selection -- 3.4 Hyperparameter Tuning -- 3.5 Support Vector Machines (SVM) -- 4 Experimental Results -- 5 Conclusion -- References -- Handcrafted Features for Human Gait Recognition: CASIA-A Dataset -- 1 Introduction -- 2 Related Work -- 3 Methodology of the Proposed System -- 3.1 Feature Extraction Techniques -- 3.2 K-means Clustering Algorithm -- 3.3 Locality Preserving Projection (LPP) -- 3.4 Classifiers -- 4 Experimental Results -- 5 Conclusion and Future Direction -- References -- Local Binary Pattern Symmetric Centre Feature Extraction Method for Detection of Image Forgery -- 1 Introduction -- 2 Related Works -- 3 Methodology for Copy Move Forgery Detection -- 3.1 Local Binary Pattern Centre Symmetric (LBM-CS) Approach -- 4 Result Analysis for Detection of Image Forgery -- 5 Conclusion -- References -- A Copy and Move Image Forged Classification by Using Hybrid Neural Networks -- 1 Introduction -- 2 Related Works to Copy-Move Forgery. 3 Methodology for Hybrid Copy-Move Detection Approach -- 3.1 Image Classification by HNN-DT -- 4 Result in Analysis Using HNN-DT Method -- 5 Conclusion -- References -- Cardiac Surveillance System Using by the Modified Kalman Filter -- 1 Introduction -- 2 Literature Review -- 3 Methodology for Cardiac Surveillance -- 3.1 Kalman Filter -- 3.2 Kalman Gain -- 4 Results: Implementation Results of Kalman Filter -- 5 Conclusion -- References -- An Extensive Study on Parkinson's Disease Using Different Approaches of Supervised Learning Algorithms -- 1 Introduction -- 2 Literature Survey -- 2.1 Observations -- 3 Research Gaps Identified -- 4 Conclusion -- References -- Adaptive Convolution Neural Networks for Facial Emotion Recognition -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Image Pre-processing -- 3.2 Face Detection Using HAAR -- 3.3 AdaBoost Classifier -- 3.4 Pseudo Code for Neural Networks -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- A Gravitational Search Algorithm Study on Text Summarization Using NLP -- 1 Introduction -- 2 Classification of Text Summarization -- 3 Related Works -- 4 Gravitational Search Algorithm Assessment Metrics -- 5 Conclusion -- References -- Analysis of Deep Learning Methods for Prediction of Plant Diseases -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Deep Learning Architecture for Detection of Leaf Disease -- 3.2 Modified/New Deep Learning Architecture for the Detection of Leaf Disease -- 4 Conclusion -- References -- ACHM: An Efficient Scheme for Vehicle Routing Using ACO and Hidden Markov Model -- 1 Introduction -- 2 Related Work -- 2.1 HMM Based Schemes -- 2.2 Routing Schemes -- 3 System Model -- 3.1 ACHM Vehicle Routing -- 4 Performance Evaluation -- 5 Conclusion -- References -- Detection of Leaf Disease Using Artificial Intelligence. 1 Introduction -- 2 Methodology -- 2.1 Convolutional Neural Network -- 2.2 Max Pooling -- 2.3 Dropout -- 2.4 Flatten -- 2.5 Dense -- 2.6 Feature Extraction -- 3 Result -- 3.1 Performance Comparison -- 4 Conclusion -- References -- Deep CNN Based Whale Optimization for Predicting the Rice Plant Disease in Real Time -- 1 Introduction -- 2 Motivation -- 2.1 Literature Review -- 2.2 Challenges -- 3 Proposed Plant Disease Prediction Using Whale Optimization Dependent Deep CNN Classifier -- 3.1 Image Pre-processing -- 3.2 Plant Disease Prediction Using Optimized Deep CNN Classifier -- 4 Results and Discussion -- 4.1 Experimental Setup -- 4.2 Comparative Methods -- 4.3 Performance Measures -- 4.4 Analysis Based on Comparative Methods -- 4.5 Comparative Discussion -- 5 Conclusion -- References -- DCBC_DeepL: Detection and Counting of Blood Cells Employing Deep Learning and YOLOv5 Model -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 YOLOv5 Architectural Model to Identify Object -- 3.3 Performance Evaluation -- 4 Results and Discussion -- 4.1 Performance Analysis of Applied Models -- 4.2 Validation of the Applied Model -- 5 Conclusion and Future Work -- References -- ML_SPS: Stroke Prediction System Employing Machine Learning Approach -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Data Description -- 3.2 Data Preprocessing -- 3.3 Supervised Machine Learning Algorithm -- 3.4 Performance Evaluation Metrics -- 4 Experimental Results -- 5 Conclusion -- References -- A System for Network Based Intrusion Avoidance Using Dedicated Machine Learning and Artificial Intelligence-Based Model for Application and Data Safety -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work/Methodology -- 3.1 Calculations -- 3.2 Flow Chart -- 4 Algorithm to Generate the Insights Sequence and Validate Using SVM. 5 Results and Discussion -- 6 Conclusion -- References -- AI-Based COVID Alert System on Embedded Platform -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 Model -- 3.2 The Real-Time Mask Detection and People Counting -- 3.3 The Real-Time Social Distancing Module -- 4 Experimental Results and Discussion -- 4.1 Embedded Hardware -- 4.2 Results for Real-Time Mask Detection -- 4.3 Results for Real-Time People Counting -- 4.4 Results for Real-Time Social Distancing Alert -- 5 Conclusion and Future Scope -- References -- An Efficient Detection of Brain Stroke Using Machine Learning Robust Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Apple Leaf Diseases Detection System: A Review of the Different Segmentation and Deep Learning Methods -- 1 Introduction -- 2 Related Work -- 3 Categories of Apple Leave Disease -- 3.1 Marssonia Leaf Blotch -- 3.2 Powdery Mildew -- 3.3 Fire Blight -- 3.4 Apple Scab -- 3.5 Black Rot and Frogeye Leaf Spot -- 4 Dataset Description: Apple Leaf Diseases -- 4.1 ALDD (Apple Leaf Disease Dataset) [14] -- 4.2 Plant Pathology Challenge 2020 Dataset [15] -- 5 Various Segmentation and Deep Learning Detection Methods -- 5.1 Vgg-16 Network -- 5.2 Fully Convolutional Neural Network (FCNN) -- 5.3 ResNet50 Network -- 5.4 Mask RCNN -- 5.5 Yolo -- 5.6 SSD (Single Shot Multibox Detector) -- 5.7 Transfer Learning with CNN -- 5.8 Inception-V4 -- 6 Existing Result Analysis -- 7 Conclusion and Future Scope -- References -- Underwater Image Restoration and Enhancement Based on Machine and Deep Learning Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Challenges -- 4 Methodology -- 5 Result -- 6 Conclusion -- References -- Using Machine Learning for Inter-smell Detection: A Feasibility Study -- 1 Introduction. 2 Related Work. |
| Record Nr. | UNINA-9910634036903321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence and data science : first International Conference, ICAIDS 2021, Hyderabad, India, December 17-18, 2021, revised selected papers / / Ashwani Kumar [and five others]
| Artificial intelligence and data science : first International Conference, ICAIDS 2021, Hyderabad, India, December 17-18, 2021, revised selected papers / / Ashwani Kumar [and five others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (552 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Data mining |
| ISBN | 3-031-21385-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Artificial Intelligence -- Comparative Analysis of Advanced Machine Learning Based Techniques to Identify the Lung Cancer: A Review -- 1 Introduction -- 2 Background of Cancer Stages with Machine Learning -- 2.1 Lung Cancer Detection in Related Works -- 2.2 Additional Methods -- 3 Background of Cancer Stages with Machine Learning -- 4 Performance Analysis of Existing Techniques and Discussion -- 5 Conclusion -- References -- Classification and Identification of Objects in Images Using CNN -- 1 Introduction -- 2 Novelty -- 3 Background -- 3.1 Evolution of Computer Vision -- 3.2 CNN Architecture -- 4 Computer Vision Variants -- 4.1 Image Classification -- 4.2 Object Detection -- 4.3 Image Classification with Localization -- 4.4 Semantic Segmentation -- 4.5 Instance Segmentation -- 5 Application Areas -- 6 Research Challenges -- 7 Conclusion -- References -- An Appraisal of Cyber-Attacks and Countermeasures Using Machine Learning Algorithms -- 1 Introduction -- 2 Machine Learning in Intrusion Detection System -- 2.1 History -- 2.2 Intrusion Detection System Detection Methods -- 2.3 Type of Intrusion Detection System Alerts -- 2.4 Benchmarks or Datasets -- 2.5 Machine Learning Based Intrusion Detection System -- 3 Common Security Attacks -- 4 Counter Measures -- 5 Conclusion -- References -- A Systematic Review on Autonomous Vehicle: Traffic Sign Detection and Drowsiness Detection -- 1 Introduction -- 2 Taxonomy on Autonomous Vehicle -- 2.1 Traffic Sign Detection -- 2.2 Drowsiness Detection -- 3 Vehicle-Focused Studies and Systems -- 4 Problem Statement -- 5 Comparative Analysis -- 6 Conclusion -- References -- Crop Disease Auto-localization and Classification -- 1 Introduction -- 2 Problem Statement -- 3 Literature Review -- 4 Proposed Methodology -- 4.1 Dataset Preparation.
4.2 Image Segmentation Using DICOM Format -- 4.3 Feature Extraction -- 4.4 Transfer Learning -- 4.5 Model Analysis -- 4.6 Grad-CAM: For Model Performance Analysis -- 4.7 Bounding Box Regression -- 4.8 Model Deployment -- 5 Implementation -- 5.1 Augmentation and Pre-processing -- 5.2 DICOM Segmentation -- 5.3 VGG16 Model -- 5.4 Resnet50 Model -- 5.5 MobileNet V2 Model -- 5.6 Xception Model -- 5.7 Grad-CAM Analysis -- 5.8 Bounding Box Regression -- 5.9 Deployment -- 6 Results and Discussion -- 6.1 Classification: Models Analysis and Evaluation -- 6.2 Grad-CAM Visualization -- 6.3 Bounding Box Regression -- 6.4 Medical Imaging as a Segmentation Technique -- 7 Conclusion and Future Work -- References -- Challenges in Crop Selection Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 3.1 Data Collection -- 3.2 Feature Engineering -- 3.3 Model Selection -- 3.4 Hyperparameter Tuning -- 3.5 Support Vector Machines (SVM) -- 4 Experimental Results -- 5 Conclusion -- References -- Handcrafted Features for Human Gait Recognition: CASIA-A Dataset -- 1 Introduction -- 2 Related Work -- 3 Methodology of the Proposed System -- 3.1 Feature Extraction Techniques -- 3.2 K-means Clustering Algorithm -- 3.3 Locality Preserving Projection (LPP) -- 3.4 Classifiers -- 4 Experimental Results -- 5 Conclusion and Future Direction -- References -- Local Binary Pattern Symmetric Centre Feature Extraction Method for Detection of Image Forgery -- 1 Introduction -- 2 Related Works -- 3 Methodology for Copy Move Forgery Detection -- 3.1 Local Binary Pattern Centre Symmetric (LBM-CS) Approach -- 4 Result Analysis for Detection of Image Forgery -- 5 Conclusion -- References -- A Copy and Move Image Forged Classification by Using Hybrid Neural Networks -- 1 Introduction -- 2 Related Works to Copy-Move Forgery. 3 Methodology for Hybrid Copy-Move Detection Approach -- 3.1 Image Classification by HNN-DT -- 4 Result in Analysis Using HNN-DT Method -- 5 Conclusion -- References -- Cardiac Surveillance System Using by the Modified Kalman Filter -- 1 Introduction -- 2 Literature Review -- 3 Methodology for Cardiac Surveillance -- 3.1 Kalman Filter -- 3.2 Kalman Gain -- 4 Results: Implementation Results of Kalman Filter -- 5 Conclusion -- References -- An Extensive Study on Parkinson's Disease Using Different Approaches of Supervised Learning Algorithms -- 1 Introduction -- 2 Literature Survey -- 2.1 Observations -- 3 Research Gaps Identified -- 4 Conclusion -- References -- Adaptive Convolution Neural Networks for Facial Emotion Recognition -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Image Pre-processing -- 3.2 Face Detection Using HAAR -- 3.3 AdaBoost Classifier -- 3.4 Pseudo Code for Neural Networks -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- A Gravitational Search Algorithm Study on Text Summarization Using NLP -- 1 Introduction -- 2 Classification of Text Summarization -- 3 Related Works -- 4 Gravitational Search Algorithm Assessment Metrics -- 5 Conclusion -- References -- Analysis of Deep Learning Methods for Prediction of Plant Diseases -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Deep Learning Architecture for Detection of Leaf Disease -- 3.2 Modified/New Deep Learning Architecture for the Detection of Leaf Disease -- 4 Conclusion -- References -- ACHM: An Efficient Scheme for Vehicle Routing Using ACO and Hidden Markov Model -- 1 Introduction -- 2 Related Work -- 2.1 HMM Based Schemes -- 2.2 Routing Schemes -- 3 System Model -- 3.1 ACHM Vehicle Routing -- 4 Performance Evaluation -- 5 Conclusion -- References -- Detection of Leaf Disease Using Artificial Intelligence. 1 Introduction -- 2 Methodology -- 2.1 Convolutional Neural Network -- 2.2 Max Pooling -- 2.3 Dropout -- 2.4 Flatten -- 2.5 Dense -- 2.6 Feature Extraction -- 3 Result -- 3.1 Performance Comparison -- 4 Conclusion -- References -- Deep CNN Based Whale Optimization for Predicting the Rice Plant Disease in Real Time -- 1 Introduction -- 2 Motivation -- 2.1 Literature Review -- 2.2 Challenges -- 3 Proposed Plant Disease Prediction Using Whale Optimization Dependent Deep CNN Classifier -- 3.1 Image Pre-processing -- 3.2 Plant Disease Prediction Using Optimized Deep CNN Classifier -- 4 Results and Discussion -- 4.1 Experimental Setup -- 4.2 Comparative Methods -- 4.3 Performance Measures -- 4.4 Analysis Based on Comparative Methods -- 4.5 Comparative Discussion -- 5 Conclusion -- References -- DCBC_DeepL: Detection and Counting of Blood Cells Employing Deep Learning and YOLOv5 Model -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 YOLOv5 Architectural Model to Identify Object -- 3.3 Performance Evaluation -- 4 Results and Discussion -- 4.1 Performance Analysis of Applied Models -- 4.2 Validation of the Applied Model -- 5 Conclusion and Future Work -- References -- ML_SPS: Stroke Prediction System Employing Machine Learning Approach -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Data Description -- 3.2 Data Preprocessing -- 3.3 Supervised Machine Learning Algorithm -- 3.4 Performance Evaluation Metrics -- 4 Experimental Results -- 5 Conclusion -- References -- A System for Network Based Intrusion Avoidance Using Dedicated Machine Learning and Artificial Intelligence-Based Model for Application and Data Safety -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work/Methodology -- 3.1 Calculations -- 3.2 Flow Chart -- 4 Algorithm to Generate the Insights Sequence and Validate Using SVM. 5 Results and Discussion -- 6 Conclusion -- References -- AI-Based COVID Alert System on Embedded Platform -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 Model -- 3.2 The Real-Time Mask Detection and People Counting -- 3.3 The Real-Time Social Distancing Module -- 4 Experimental Results and Discussion -- 4.1 Embedded Hardware -- 4.2 Results for Real-Time Mask Detection -- 4.3 Results for Real-Time People Counting -- 4.4 Results for Real-Time Social Distancing Alert -- 5 Conclusion and Future Scope -- References -- An Efficient Detection of Brain Stroke Using Machine Learning Robust Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Apple Leaf Diseases Detection System: A Review of the Different Segmentation and Deep Learning Methods -- 1 Introduction -- 2 Related Work -- 3 Categories of Apple Leave Disease -- 3.1 Marssonia Leaf Blotch -- 3.2 Powdery Mildew -- 3.3 Fire Blight -- 3.4 Apple Scab -- 3.5 Black Rot and Frogeye Leaf Spot -- 4 Dataset Description: Apple Leaf Diseases -- 4.1 ALDD (Apple Leaf Disease Dataset) [14] -- 4.2 Plant Pathology Challenge 2020 Dataset [15] -- 5 Various Segmentation and Deep Learning Detection Methods -- 5.1 Vgg-16 Network -- 5.2 Fully Convolutional Neural Network (FCNN) -- 5.3 ResNet50 Network -- 5.4 Mask RCNN -- 5.5 Yolo -- 5.6 SSD (Single Shot Multibox Detector) -- 5.7 Transfer Learning with CNN -- 5.8 Inception-V4 -- 6 Existing Result Analysis -- 7 Conclusion and Future Scope -- References -- Underwater Image Restoration and Enhancement Based on Machine and Deep Learning Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Challenges -- 4 Methodology -- 5 Result -- 6 Conclusion -- References -- Using Machine Learning for Inter-smell Detection: A Feasibility Study -- 1 Introduction. 2 Related Work. |
| Record Nr. | UNISA-996503565403316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Decarbonisation and Digitization of the Energy System : Proceedings of the 2nd International Conference on Smart Grid Energy Systems and Control, SGESC 2023 / / edited by Ashwani Kumar, S. N. Singh, Pradeep Kumar
| Decarbonisation and Digitization of the Energy System : Proceedings of the 2nd International Conference on Smart Grid Energy Systems and Control, SGESC 2023 / / edited by Ashwani Kumar, S. N. Singh, Pradeep Kumar |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (366 pages) |
| Disciplina | 621.317 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electric power production
Electric power distribution Energy policy Electrical Power Engineering Energy Grids and Networks Energy Policy, Economics and Management |
| ISBN | 981-9976-30-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimal Energy Scheduling And Feasibility Analysis In Microgrid Considering The Hospital Load Model With Isolated Grid -- Optimal Allocation And Sizing Of Distributed Generation In IEEE-85 Bus System Considering Various Load Models Using Multi-Objective Metaheuristic Algorithms -- A Sustainable Privacy-Preserving Aggregation Authentication Protocol For Smart Grid -- A Low-Cost WECS For Remote Area Electrification. Optimal Sizing Of Grid-Connected Hybrid Renewable Energy System Using The GWO Algorithm And Adapting The Time Of Use Tariff Rates -- Comparative Analysis Of Load Forecasting By Using Ann, Fuzzy Logic And ANFIS -- A Practical Approach To Volt Var Optimization In An Unbalanced Radial Distribution System -- A Construction Of Secure And Efficient Lightweight Authenticated Key Agreement Based On Elliptic Curve Cryptography For Smart Grid -- A Case Study With Analysis For Photovoltaic Array Under Shaded Conditions -- Multi Objective Hybrid Optimal Algorithm For Distribution System Feeder Reconfiguration -- Forecasting Of Daily Average Power Demand For The Chhattisgarh State Of India -- Optimal Placement And Sizing Of Active Power Filters In RDS Using TLBO For Harmonic Distortion Reduction -- Small-Signal Stability Analysis Of Synchronverter Based Ac Microgrid In Islanded Mode -- Feasibility Study Of PV/Wind Hybrid System With Recycled Retired Electric Vehicle Batteries -- A Crest Factor Based Voltage Sag Quantification Method. |
| Record Nr. | UNINA-9910800118303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Energy storage technologies in grid modernization / / edited by Sandeep Dhundhara, Yajvender Pal Verma, and Ashwani Kumar
| Energy storage technologies in grid modernization / / edited by Sandeep Dhundhara, Yajvender Pal Verma, and Ashwani Kumar |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2023] |
| Descrizione fisica | 1 online resource (367 pages) |
| Disciplina | 0621.042 |
| Soggetto topico |
Smart power grids
Renewable resource integration |
| ISBN |
1-119-87214-6
1-119-87213-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830087203321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Energy storage technologies in grid modernization / / edited by Sandeep Dhundhara, Yajvender Pal Verma, and Ashwani Kumar
| Energy storage technologies in grid modernization / / edited by Sandeep Dhundhara, Yajvender Pal Verma, and Ashwani Kumar |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2023] |
| Descrizione fisica | 1 online resource (367 pages) |
| Disciplina | 0621.042 |
| Soggetto topico |
Energy storage
Smart power grids Electric power systems Renewable resource integration |
| ISBN |
9781119872146
1119872146 9781119872139 1119872138 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910877153203321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Gene Editing in Plants : CRISPR-Cas and Its Applications / / edited by Ashwani Kumar, Sudipti Arora, Shinjiro Ogita, Yuan-Yeu Yau, Krishnendu Mukherjee
| Gene Editing in Plants : CRISPR-Cas and Its Applications / / edited by Ashwani Kumar, Sudipti Arora, Shinjiro Ogita, Yuan-Yeu Yau, Krishnendu Mukherjee |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (871 pages) |
| Disciplina | 306.4409113 |
| Soggetto topico |
Plant genetics
Agricultural genome mapping Botany Plant Genetics Agricultural Genetics Plant Science |
| ISBN | 981-9985-29-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1-CRISPR-Cas: A History of Discovery and Innovation -- Chapter 2-Plant recombinant gene technology for pest control in XXI century: from simple transgenesis to CRISPR/Cas -- Chpater 3-Different classes of CRISPR-Cas systems -- Chapter 4-Strategies to control multidrug-resistant (MDR) bacterial infections using CRISPR-Cas technology -- Chapter 5-Redesigning Saccharomyces cerevisiae Meyen ex E.C. Hansen Using CRISPR to combat Industrial Needs -- Chapter 6 - CRISPRi Mediated Gene Silencing in Biofilm Cycle and Quorum Sensing -- Chapter 7- A new era of CRISPR technology to improve climate resilience in rice -- Chapter 8- Deciphering the role of CRISPR/Cas9 in the amelioration of abiotic and biotic stress conditions -- chapter 9-Detailed insight into various classes of CRISPR/Cas system to develop the future crops -- Chapter 10-Role of CRISPR-Cas and its application in mitigating plant stress -- Chapter 11-Application of CRISPR for plant-mediated resistance -- Chapter 12-Nutrient Biofortification in Crop Plants by the Crispr/Cas9 Technology: A Potential Approach for Sustainable Food Security -- Chapter 13 -CRISPR-Cas and its Applications in Food production -- Chapter 14 - Application of genome editing: CRISPR Cas in crop improvement -- Chapter 15-Development of a CRISPR-Cas9-based multiplex genome editing vector and stay-green lettuce -- Chapter 16-Potato Genome Editing: Recent Challenges and a Practical Procedure -- Chapter 17-CRISPR GENE Editing for Secondary Metabolite Production: A Review -- Chapter 18-CRISPR-CAS Systems for Enhancing Photosynthesis : Climate Resilience And Food Production -- Chapter 19 - Combined use of unidirectional site-specific recombination system and CRISPR-Cas systems for plant genome editing -- Chapter 20- Advances in delivery of CRISPR-Cas reagents for precise genome editing in plants -- chapter 21-Perspectives and overview of CRISPR/CAS Technology in Plant Pathogenesis -- Chapter 22- Clustered regularly interspaced short palindromic repeats (CRISPR)-associated proteins (Cas) [CRISPR-Cas] – an emering technique in plant disease detection and management -- Chapter 23-Application of genome editing for improving nematode resistance in plants: How far we progressed? -- Chapter 24-CRISPR-based Genetic Control Strategies for Insect Pests to Mitigate Classical Insecticidal Approaches -- Chapter 25-CRISPR-Based Approach: A Way Forward to Sustainable Development Goals (SDGs) -- Chapter 26-CRISPR/Cas Technology: A Climate Saviour or a Genetic Pandora's Box? -- Chapter 27-An Analysis of Global Policies and Regulation on Genome Editing in Plants -- Chapter 28-CRISPR/Cas Mediated multiplex gene editing in Tomato (Solanum lycopersicum L.) -- Chapter 29-CRISPR-Cas System and its Role in Quorum Sensing Processes of Bacteria and Fungi -- Chapter 30- Genome editing tool CRISPR-Cas: Legal and Ethical Considerations for Life Science. |
| Record Nr. | UNINA-9910845087903321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Molecular genetics and genomics tools in biodiversity conservation / / editors, Ashwani Kumar [and three others]
| Molecular genetics and genomics tools in biodiversity conservation / / editors, Ashwani Kumar [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (334 pages) |
| Disciplina | 333.9516 |
| Soggetto topico | Biodiversity conservation |
| ISBN |
981-16-6005-0
981-16-6004-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743356403321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Power shifts and global governance : challenges from south and north / / edited by Ashwani Kumar and Dirk Messner [[electronic resource]]
| Power shifts and global governance : challenges from south and north / / edited by Ashwani Kumar and Dirk Messner [[electronic resource]] |
| Pubbl/distr/stampa | London : , : Anthem Press, , 2010 |
| Descrizione fisica | 1 online resource (xv, 359 pages) : digital, PDF file(s) |
| Disciplina | 327.1/12 |
| Collana | Anthem Press India |
| Soggetto topico |
Globalization
International organization |
| ISBN |
1-84331-834-2
1-283-37793-4 9786613377937 1-84331-884-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Four Lessons from the Present Global Financial Crisis for the 21st Century -- Global Civil Society -- Institutional and Policy Implications of International Public Goods -- Economic Challenges for Global Governance -- The Rule of Law in Multilateral Institutions and International Aid for Development -- Global Power Shifts and South Africa's Southern Agenda -- Mexico as an Emerging Power in the Present World Scenario -- Trilateral Relations among Africa, China and Europe -- South America and US Relations -- The Future Developments in Global Governance -- Managing Social Issues for Sustainable Development -- Unity in Diversity -- In the Foggy Middle East -- Evaluation Capacity Development in the Arab Region -- UNEP Institutional Reform with its Impact on Developing Countries -- The Heiligendamm Process and Emerging Powers. |
| Altri titoli varianti | Power Shifts & Global Governance |
| Record Nr. | UNINA-9910459212903321 |
| London : , : Anthem Press, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Renewable energy towards smart grid : select proceedings of SGESC 2021 / / Ashwani Kumar, S. C. Srivastava, S. N. Singh, editors
| Renewable energy towards smart grid : select proceedings of SGESC 2021 / / Ashwani Kumar, S. C. Srivastava, S. N. Singh, editors |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] |
| Descrizione fisica | 1 online resource (455 pages) |
| Disciplina | 333.794 |
| Collana | Lecture notes in electrical engineering |
| Soggetto topico |
Renewable energy sources
Smart power grids |
| ISBN |
981-16-7471-X
981-16-7472-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743238603321 |
| Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||