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Computer Vision and Robotics : Proceedings of CVR 2023 / / edited by Praveen Kumar Shukla, Himanshu Mittal, Andries Engelbrecht
| Computer Vision and Robotics : Proceedings of CVR 2023 / / edited by Praveen Kumar Shukla, Himanshu Mittal, Andries Engelbrecht |
| Autore | Shukla Praveen Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (567 pages) |
| Disciplina | 629.8 |
| Altri autori (Persone) |
MittalHimanshu
EngelbrechtAndries |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Automatic control
Robotics Automation Image processing - Digital techniques Computer vision Human-machine systems Cooperating objects (Computer systems) Control, Robotics, Automation Computer Imaging, Vision, Pattern Recognition and Graphics Human-Machine Interfaces Cyber-Physical Systems |
| ISBN |
9789819945771
9819945771 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rebalancing Algorithm for Bike Sharing System Networks with Uncertain Inventories and Stations with Finite Capacity -- Sensor-Based Personal Activity Recognition Using Mixed 5 -Layer -CNN-LSTM and Hyperparameter Tunning -- Distance and Similarity measures of Hesitant Bi-fuzzy set and its applications in pattern recognition problem -- Impact of Machine Learning in Education -- Lung Disease Classification Using CNN -- Machine learning approach for Traffic sign detection and indication using open CV with Python -- Determining the Fruit Ripening stage using Convolution Neural Networks -- A comprehensive review and discussion on Corn Leaf disease detection using Artificial Intelligence -- A Case Study of Selecting Suitable Agribots in Agri-Farming -- A Survey on Novel Hybrid Metaheuristic Algorithms for Image Segmentation -- A ranking method for the linguistic q-rung orthopair fuzzy set based on possibility degree measure -- Impact of DFIM Controller Parameters on SSR Characteristics of Wind Energy Conversion System with Series Capacitor Compensation -- Structured Image Detection Using Deep Learning (SIDUD) -- Enhanced Heart Disease Predicion using Hybrid Random Forest with Linear Model -- Rice Crop Disease Detection Using Machine Learning Algorithms -- Machine Learning Algorithms for Polycystic Ovary Syndrome/Polycystic Ovarian Syndrome Detection: A Comparison -- Synthesizing Music By Artist's Style Transfer using VQ-VAE and Diffusion Model -- Segmentation and Classification for Plant Leaf Identification Using Deep Learning Model -- Analyzing Machine Learning Algorithm for Breast Cancer Diagnosis -- IoT Application on Home Automation with Smart Meter -- Personal Area Network (PAN) Smart Guide for the Blind (PSGB) -- Brain MRI Classification: A Systematic Review -- A Step Towards Smart Farming: Unified Role of AI and IoT. . |
| Record Nr. | UNINA-9910746961603321 |
Shukla Praveen Kumar
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer Vision and Robotics : Proceedings of CVR 2024 / / edited by Praveen Kumar Shukla, Abhishek Bhatt, Himanshu Mittal, Andries Engelbrecht
| Computer Vision and Robotics : Proceedings of CVR 2024 / / edited by Praveen Kumar Shukla, Abhishek Bhatt, Himanshu Mittal, Andries Engelbrecht |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXIII, 588 p. 243 illus., 213 illus. in color.) |
| Disciplina | 629.8 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Automatic control
Robotics Automation Image processing - Digital techniques Computer vision Signal processing Cooperating objects (Computer systems) Internet of things Control, Robotics, Automation Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing Cyber-Physical Systems Internet of Things |
| ISBN | 981-9788-68-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Securing IoT Enabled Financial Transactions with Artificial Intelligence -- 2. Fruits Quality Detection using Hybrid CNN-SVM Model -- 3. Advancing Alzheimer's Diagnosis Integrating Transfer Learning with Support Vector Machine for Enhanced Disease Classification -- 4. Machine Learning Based Landslide Prediction in Karnataka’s Ghats Region -- 5. A Review of An efficient authentication mechanism for Wireless Sensors Networking Focused on the IIoT and its comparative analysis -- 6. Comparative Evaluation of Transfer Learning Models for Accurate Plant Disease Detection -- 7. Circuit Defect Inspect Circuit board defect detection using Modified Faster R-CNN -- 8. Data-Driven Insights into Polar Sea Ice Dynamics A 2017-2022 Analysis Using AMSR2 Satellite Data -- 9. Video Processing-Based Real Time Automobile Parts Defect Detection and Classification Using Deep Neural Network A Comprehensive Survey -- 10. Optical Satellite Imaging for Glacial Velocity Analysis Insights from Sikkim Glaciers Using Computer Vision Techniques. |
| Record Nr. | UNINA-9911007353303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Geohazards : Analysis, Modelling and Forecasting / / edited by Sandeep, Parveen Kumar, Himanshu Mittal, Roshan Kumar
| Geohazards : Analysis, Modelling and Forecasting / / edited by Sandeep, Parveen Kumar, Himanshu Mittal, Roshan Kumar |
| Autore | Sandeep |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (201 pages) |
| Disciplina |
551
363.34 |
| Altri autori (Persone) |
KumarParveen
MittalHimanshu KumarRoshan |
| Collana | Advances in Natural and Technological Hazards Research |
| Soggetto topico |
Natural disasters
Geophysics Geology Artificial intelligence Natural Hazards Artificial Intelligence |
| ISBN | 981-9939-55-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Role of active tectonics in the estimation of seismic hazard of an area: A case study of western India -- Stress Scenario In The North-West Himalaya: What We Learnt From Post-Seismic Stress Changes -- The crust and upper mantle structure beneath the Bangladesh and its effects on seismic hazard -- Seismological data quality controls – a synthesis -- Use of Geophysical techniques in Seismic Hazard Assessment and Microzonation -- Earthquake response and its implications towards the structural design codes for Himalayan and adjoining regions of India -- Liquefaction Potential Index (LPI): A Parameter to Assess Liquefaction Hazard -- Earthquake Precursory Studies Using Radon Time Series Data in Taiwan: An Overview -- Spatial prediction of earthquake-induced landslide susceptible zones - A case study from Indian Himalaya -- Tsunamis in the past and recent years over Indian coasts: A review -- Instrumentation of India’s First Regional Earthquake Early Warning System and Site Characterization of itsStations -- Overview of Artificial Intelligence (AI) and Machine Learning (ML) in Seismology. . |
| Record Nr. | UNINA-9910742484403321 |
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Sandeep
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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