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.
Artificial Intelligence for Big Data : complete guide to automating Big Data solutions using Artificial Intelligence techniques / / Anand Deshpande, Manish Kumar
| Artificial Intelligence for Big Data : complete guide to automating Big Data solutions using Artificial Intelligence techniques / / Anand Deshpande, Manish Kumar |
| Autore | Deshpande Anand |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham ; ; Mumbai : , : Packt Publishing, , 2018 |
| Descrizione fisica | 1 online resource (384 pages) |
| Disciplina | 005.7 |
| Soggetto topico |
Big data
Business logistics - Data processing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910794635503321 |
Deshpande Anand
|
||
| Birmingham ; ; Mumbai : , : Packt Publishing, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence for Big Data : complete guide to automating Big Data solutions using Artificial Intelligence techniques / / Anand Deshpande, Manish Kumar
| Artificial Intelligence for Big Data : complete guide to automating Big Data solutions using Artificial Intelligence techniques / / Anand Deshpande, Manish Kumar |
| Autore | Deshpande Anand |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham ; ; Mumbai : , : Packt Publishing, , 2018 |
| Descrizione fisica | 1 online resource (384 pages) |
| Disciplina | 005.7 |
| Soggetto topico |
Big data
Business logistics - Data processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910814117103321 |
|
Deshpande Anand
|
||
| Birmingham ; ; Mumbai : , : Packt Publishing, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Building data streaming applications with Apache Kafka : designing and deploying enterprise messaging queues / / Manish Kumar, Chanchal Singh
| Building data streaming applications with Apache Kafka : designing and deploying enterprise messaging queues / / Manish Kumar, Chanchal Singh |
| Autore | Manish Kumar |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt, , 2017 |
| Descrizione fisica | 1 online resource (269 pages) : color illustrations |
| Soggetto topico |
Information storage and retrieval systems
Telecommunication - Message processing Web sites - Design Agile software development |
| Soggetto genere / forma | Electronic books. |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910494717803321 |
|
Manish Kumar
|
||
| Birmingham : , : Packt, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Building data streaming applications with Apache Kafka : designing and deploying enterprise messaging queues / / Manish Kumar, Chanchal Singh
| Building data streaming applications with Apache Kafka : designing and deploying enterprise messaging queues / / Manish Kumar, Chanchal Singh |
| Autore | Manish Kumar |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt, , 2017 |
| Descrizione fisica | 1 online resource (269 pages) : color illustrations |
| Disciplina | 006.8 |
| Soggetto topico |
Information storage and retrieval systems
Telecommunication - Message processing Web sites - Design Agile software development |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910796535803321 |
|
Manish Kumar
|
||
| Birmingham : , : Packt, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Building data streaming applications with Apache Kafka : designing and deploying enterprise messaging queues / / Manish Kumar, Chanchal Singh
| Building data streaming applications with Apache Kafka : designing and deploying enterprise messaging queues / / Manish Kumar, Chanchal Singh |
| Autore | Manish Kumar |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt, , 2017 |
| Descrizione fisica | 1 online resource (269 pages) : color illustrations |
| Disciplina | 006.8 |
| Soggetto topico |
Information storage and retrieval systems
Telecommunication - Message processing Web sites - Design Agile software development |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910817765403321 |
|
Manish Kumar
|
||
| Birmingham : , : Packt, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Development of Efficient OLEDs from Solution Deposition
| Development of Efficient OLEDs from Solution Deposition |
| Autore | Manish Kumar |
| Pubbl/distr/stampa | MyJoVE Corporation |
| Formato | Videoregistrazioni  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911020589303321 |
|
Manish Kumar
|
||
| MyJoVE Corporation | ||
| Videoregistrazioni | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Generative Artificial Intelligence : Concepts and Applications
| Generative Artificial Intelligence : Concepts and Applications |
| Autore | Nidhya R |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Altri autori (Persone) |
PavithraD
Manish Kumar Dinesh KumarA Pālamurukan̲Ca |
| Collana | Industry 5. 0 Transformation Applications Series |
| Soggetto topico |
Artificial intelligence
Generative programming (Computer science) |
| ISBN |
9781394209835
1394209835 9781394209811 1394209819 9781394209828 1394209827 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Exploring the Creative Frontiers: Generative AI Unveiled -- 1.1 Introduction -- 1.1.1 Definition and Significance of Generative AI -- 1.1.2 Historical Overview and Development -- 1.2 Foundational Concepts -- 1.2.1 Neural Networks and Generative Models -- 1.2.2 Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) -- 1.3 Applications Across Domains -- 1.3.1 Creative Arts: Music, Visual Arts, Literature -- 1.3.2 Content Generation: Text, Images, Videos -- 1.3.3 Scientific Research and Data Augmentation -- 1.3.4 Healthcare and Drug Discovery -- 1.3.5 Gaming and Virtual Environments -- 1.4 Ethical Considerations -- 1.5 Future Prospects and Challenges -- 1.6 Conclusion -- Reference -- Chapter 2 An Efficient Infant Cry Detection System Using Machine Learning and Neuro Computing Algorithms -- 2.1 Introduction -- 2.2 Literature Survey -- 2.3 Methodology -- 2.3.1 Database -- 2.3.2 Feature Extraction -- 2.3.2.1 Short-Term Energy -- 2.3.2.2 Mel-Frequency Cepstral Coefficients -- 2.3.2.3 Spectrograms -- 2.3.3 Classification -- 2.3.4 Convolutional Neural Network (CNN) -- 2.3.5 Recurrent Neural Network (RNN) -- 2.3.6 Regularized Discriminant Analysis (RDA) -- 2.3.7 Multi-Layer Perceptron (MLP) -- 2.4 Experimental Results -- 2.5 Conclusion -- References -- Chapter 3 Improved Brain Tumor Segmentation Utilizing a Layered CNN Model -- 3.1 Introduction -- 3.2 Related Works -- 3.3 Methodology -- 3.4 Numerical Results -- 3.5 Conclusion -- References -- Chapter 4 Natural Language Processing in Generative Adversarial Network -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 The Implementation of NLP in GAN for Generating Images and Summaries -- 4.3.1 Working of Sequence Generative Adversarial Network (SeqGAN).
4.3.2 Working of Generative Adversarial Transformer (GAT) -- 4.3.2.1 Steps to Incorporate NLP in GAN -- 4.3.3 Implementation of NLP in GAN -- 4.3.4 Generate the Image Using Textual Description -- 4.3.5 Text Summarization -- 4.3.5.1 Graph-Based Summarization -- 4.4 Conclusion -- References -- Chapter 5 Modeling A Deep Learning Network Model for Medical Image Panoptic Segmentation -- 5.1 Introduction -- 5.2 Related Works -- 5.3 Methodology -- 5.3.1 Deep Masking Convolutional Model (DMCM) -- 5.4 Numerical Results and Discussion -- 5.5 Conclusion -- References -- Chapter 6 A Hybrid DenseNet Model for Dental Image Segmentation Using Modern Learning Approaches -- 6.1 Introduction -- 6.2 Related Works -- 6.3 Methodology -- 6.3.1 Dataset -- 6.3.2 Dense Transformer Model -- 6.3.3 DenseNet Model -- 6.4 Numerical Results and Discussion -- 6.4.1 Discussion -- 6.5 Conclusion -- References -- Chapter 7 Modeling A Two-Tier Network Model for Unconstraint Video Analysis Using Deep Learning -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Methodology -- 7.4 Numerical Results and Discussion -- 7.5 Conclusion -- References -- Chapter 8 Detection of Peripheral Blood Smear Malarial Parasitic Microscopic Images Utilizing Convolutional Neural Network -- 8.1 Introduction -- 8.2 Malaria -- 8.2.1 Malaria-Infected Red Blood Cells with Types -- 8.3 Literature Survey -- 8.4 Proposed Methodology and Algorithm -- 8.4.1 Proposed Algorithm -- 8.5 Result Analysis -- 8.5.1 Dataset -- 8.5.2 Preprocessing of Data -- 8.5.3 Splitting of Dataset -- 8.5.4 Classification -- 8.5.5 Model Prediction and Performance Metrics -- 8.5.6 CNN Learning Curves -- 8.6 Discussion -- 8.7 Conclusion -- 8.8 Future Scope -- References -- Chapter 9 Exploring the Efficacy of Generative AI in Constructing Dynamic Predictive Models for Cybersecurity Threats: A Research Perspective -- 9.1 Introduction. 9.2 Related Works -- 9.3 Methodology -- 9.3.1 Pre-Processing -- 9.3.2 Classifier -- 9.3.3 Optimization -- 9.4 Numerical Results and Discussion -- 9.5 Conclusion -- References -- Chapter 10 Poultry Disease Detection: A Comparative Analysis of CNN, SVM, and YOLO v3 Algorithms for Accurate Diagnosis -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 Objectives -- 10.3.1 Accurate Disease and Early Disease Identification -- 10.3.2 Multi-Class Disease Identification -- 10.3.3 Automation and Real-Time Disease Monitoring -- 10.3.4 Better Accuracy -- 10.4 Methodology -- 10.4.1 Dataset -- 10.4.2 Data Preprocessing -- 10.4.3 Image Preprocessing -- 10.4.4 Data Augmentation -- 10.4.5 Extracting Region of Interest -- 10.5 Results and Discussion -- 10.6 Conclusion -- References -- Chapter 11 Generative AI-Enhanced Deep Learning Model for Crop Type Analysis Based on Clustered Feature Vectors and Remote Sensing Imagery -- 11.1 Introduction -- 11.2 Related Works -- 11.3 Methodology -- 11.3.1 Saliency Analysis -- 11.3.2 Saliency Region Analysis with Belief Networking -- 11.3.3 Group Analysis -- 11.3.4 Classification -- 11.3.5 Parameter Setup -- 11.4 Numerical Results and Discussion -- 11.4.1 Dataset -- 11.4.2 Classification Results and Discussions -- 11.5 Conclusion -- References -- Chapter 12 Cardiovascular Disease Prediction with Machine Learning: An Ensemble-Based Regressive Neighborhood Model -- 12.1 Introduction -- 12.2 Related Works -- 12.3 Methodology -- 12.3.1 Pre-Processing -- 12.3.2 Feature Selection -- 12.3.3 Classification -- 12.4 Numerical Results and Discussion -- 12.5 Conclusion -- References -- Chapter 13 Detection of IoT Attacks Using Hybrid RNN-DBN Model -- 13.1 Introduction -- 13.2 Related Work -- 13.3 Methodology -- 13.3.1 Dataset Used -- 13.3.2 Data Preprocessing -- 13.3.3 Data Normalization -- 13.3.4 Multi-Class Classification. 13.3.5 Splitting Dataset -- 13.3.6 RNN-DBN -- 13.4 Experiments and Results -- 13.5 Conclusion and Future Scope -- References -- Chapter 14 Identification of Foliar Pathologies in Apple Foliage Utilizing Advanced Deep Learning Techniques -- 14.1 Introduction -- 14.2 Literature Survey -- 14.2.1 Disease Detection Using Machine and Deep Learning Techniques (2015-2021) -- 14.2.2 Disease Detection Using Transfer Learning (2015-2021) -- 14.3 Different Diseases of Leaves -- 14.4 Dataset -- 14.5 Proposed Methodology -- 14.6 Data Analysis -- 14.7 Pre-Processing Technique -- 14.8 Data Visualization -- 14.9 Evolutionary Progression and Genesis of Model -- 14.9.1 Evolution Model -- 14.9.2 Model Performance -- References -- Chapter 15 Enhancing Cloud Security Through AI-Driven Intrusion Detection Utilizing Deep Learning Methods and Autoencoder Technology -- 15.1 Introduction -- 15.2 Related Work -- 15.3 Proposed Methodology -- 15.3.1 DL-Based IDS for Cloud Security -- 15.4 Results and Discussion -- 15.4.1 Performance Analysis -- 15.4.1.1 Accuracy -- 15.4.1.2 Precision -- 15.4.1.3 Recall -- 15.4.1.4 F1 Score -- 15.4.1.5 AUC - Area Under the Curve -- 15.5 Conclusion -- References -- Chapter 16 YouTube Comment Analysis Using LSTM Model -- 16.1 Introduction -- 16.2 Related Work -- 16.3 Literature Survey -- 16.4 Existing System -- 16.5 Methodology -- 16.6 Result and Discussion -- 16.7 Conclusion -- References -- Index -- Also of Interest -- EULA. |
| Record Nr. | UNINA-9911019579803321 |
|
Nidhya R
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Geographic Information Systems in Urban Planning and Management / / by Manish Kumar, R. B. Singh, Anju Singh, Ram Pravesh, Syed Irtiza Majid, Akash Tiwari
| Geographic Information Systems in Urban Planning and Management / / by Manish Kumar, R. B. Singh, Anju Singh, Ram Pravesh, Syed Irtiza Majid, Akash Tiwari |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (260 pages) |
| Disciplina | 307.1216 |
| Collana | Advances in Geographical and Environmental Sciences |
| Soggetto topico |
Geographic information systems
Geography Human geography Environmental sciences - Social aspects Geographical Information System Regional Geography Human Geography Environmental Social Sciences |
| ISBN | 981-19-7855-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction of Geographic Information System -- Referencing and Coordinate Systems in GIS -- GIS Data Models -- Data Input in GIS -- Data Visualization and Output -- Spatial Data Analysis -- Non-spatial Data Management -- Applications of GIS in Urban Policy/Planning/Management -- Monitoring and Modelling of Urban Land Use Changes -- Simulating Future Urban Growth using Cellular Automata-Markov Chain Models -- Identification of Potential Sites for Housing Development Using GIS Based Multi-Criteria Evaluation Technique -- Urban Green Space Analysis and Potential Site Selection for Green Space Expansion -- A Multi-Criteria Decision Making for Alternative Landfill Site Selections Using Fuzzy TOPSIS Approach -- Urban Flood Susceptibility Modelling of Srinagar using Novel Fuzzy Multi-Layer Perceptron Neural Network (Fuzzy MLPNN) -- Assessment, Mapping and prediction of Urban Heat Island. . |
| Record Nr. | UNINA-9910647775203321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Impact of COVID-19 on emerging contaminants : one health framework for risk assessment and remediation / / edited by Manish Kumar and Sanjeeb Mohapatra
| Impact of COVID-19 on emerging contaminants : one health framework for risk assessment and remediation / / edited by Manish Kumar and Sanjeeb Mohapatra |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (438 pages) |
| Disciplina | 628.168 |
| Collana | Springer Transactions in Civil and Environmental Engineering |
| Soggetto topico | Emerging contaminants in water |
| ISBN | 981-19-1847-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910574047303321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing and Geographic Information Systems for Policy Decision Support / / edited by R. B. Singh, Manish Kumar, Dinesh Kumar Tripathi
| Remote Sensing and Geographic Information Systems for Policy Decision Support / / edited by R. B. Singh, Manish Kumar, Dinesh Kumar Tripathi |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (495 pages) |
| Disciplina | 658.403 |
| Collana | Advances in Geographical and Environmental Sciences |
| Soggetto topico |
Geography
Geographic information systems Natural disasters Regional Geography Geographical Information System Natural Hazards |
| ISBN |
9789811677311
981167731X 9789811677304 9811677301 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Estimated error analysis in downscaled land surface temperature -- Frequency Ratio approach for landslide susceptibility mapping of Phonda Ghat of Maharashtra -- Evaluation of the Hydrological Process Prevalent in Ghaggar River Basin using Interferometrically Derived Sentinel-1 DEM -- Site Suitability Analysis for Establishing Water Conservation Structures Using Geoinformatics of Eastern part of Satara District of Maharashtra, India -- Monsoon impacted magnetic and geomorphological changes along the Redi beach, Sindhudurg district, West Coast of Maharashtra, India -- Vulnerability assessment of avalanches in upper Satluj Basin, District Kinnaur, Himachal Pradesh, India: a geographic information system (GIS) based approach -- Assessment of Soil Risk by RUSLE Model Using Remote Sensing and GIS in Pench River Basin, Madhya Pradesh, India -- Socio economic livelihood vulnerability to Mountain Hazards: A case of Uttarakhand Himalaya, India -- Land Surface Temperature Retrieval of Landsat-8 Datausing Split Window Algorithm over Delhi City, India -- Investigation of land use and land cover changes and its relationship with Land surface temperature and Ground water temperature over Bangalore city -- Land Use Land Cover Change Detection and Its Effect on Land Surface Temperature: A Case Study of Malana Watershed Kullu, Himachal Pradesh, India -- Spatio-Temporal Changes in Metropolitan Cities of India: A Comparative Study of Delhi and Mumbai -- GIS based assessment of Particulate Pollutants (PM10 and PM2.5) its Relation with Vegetation Green and its impacts on apple orchards in Kullu Valley, Himachal Pradesh, India -- The Magnitude of Transformation in Land use Land Cover of Kalyan-Dombivli, Smart City -- Assessment of Tiger Tourism in India: A Case Study of Ranthambore Tiger Reserve, Rajasthan, India -- Inventory and Phenological assessment of Apple Orchards using various Remote Sensing techniques for Shopian district of Jammu and Kashmir State, India -- Geospatial Technology in Sustainable Forest Management of Molakalmuru taluk, Chitradurga district, Karnataka, India -- Application of GIS Technology in Detection of Crime Hotspots & Vulnerable Areas of Jalandhar Commissionerate -- Quantifying Land Use/Land Cover Change and Landscape Fragmentation over the Intanki National Park, Nagaland (India) using Geo-informatics -- Impact of Sprawl on Development Pattern of Bengaluru City -- Using Remote Sensing Technique to Investigate Land Use/ Land Cover Changes in Varanasi District (U.P.), India -- Geo-Spatial Database for Village Resources: A Case Study of Selected Villages from the Central Himalaya -- Effect of Urban Expansion on Groundwater Crisis: A Comparative Assessment of Nainital, Mussoorie and Shimla Hill Cities -- Land Use/Land Cover Changes in Coastal Districts of Karnataka -- Spatial Modeling for Municipal Solid Waste Management Using Remote Sensing and Geographic Information System. |
| Record Nr. | UNINA-9910743216803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
