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Computer vision and robotics : proceedings of CVR 2022 / / Praveen Kumar Shukla [and three others], editors
| Computer vision and robotics : proceedings of CVR 2022 / / Praveen Kumar Shukla [and three others], editors |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] |
| Descrizione fisica | 1 online resource (559 pages) |
| Disciplina | 006.37 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computer vision
Robotics |
| ISBN |
9789811978920
9789811978913 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Story Telling: Learning to Visualize Sentences Through Generated Scenes -- A Novel Processing of Scalable Web Log Data using Map Reduce Framework -- A Review of Disease Detection of Pre and Post-Harvest Plant Diseases: Recent Developments and Future -- Comparative Study Based on Lung Cancer with Covid-19 Using Deep Learning and Machine Learning -- Low-cost Data Acquisition System for Electric Vehicles -- Machine Learning based Robotic-Assisted Upper Limb Rehabilitation Therapies: A Review -- Performance Analysis of Classic LEACH vs CC-LEACH -- Anomaly Detection in the Course Evaluation Process -- Self Attention Based Efficient U-Net for Crack Segmentation -- Lung Carcinoma Detection from CT Images Using Image Segmentation -- A Deep Learning Based Human Activity Recognition System for Monitoring the Elderly People -- Tweets Classification on the Base of Sentiments using Deep Learning. |
| Record Nr. | UNINA-9910720068803321 |
| Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer vision and robotics : proceedings of CVR 2021 / / edited by Jagdish Chand Bansal, Andries Engelbrecht, Praveen Kumar Shukla
| Computer vision and robotics : proceedings of CVR 2021 / / edited by Jagdish Chand Bansal, Andries Engelbrecht, Praveen Kumar Shukla |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (541 pages) |
| Disciplina | 929.605 |
| Collana | Algorithms for intelligent systems |
| Soggetto topico | Computer vision |
| ISBN |
981-16-8224-0
981-16-8225-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI Techniques for Swedish Leaf Classification Designing a Recommender System for Articles using Implicit Feedback Personality Prediction based on Twitter Tweets Music Therapy for Mood Transformation based on Deep Learning Framew orkRice Crop Diseases and Pest Detection using Edge Detec-tion Techniques and Convolution Neural Netw orkSpatial Analyses of Cyclone Amphan Induced Flood Inundation Mapping Using Sentinel-1A SAR Images Through GEE CloudClassification through Data Mining AlgorithmEarly Detection of Diabetic Retinopathy using Multimodal ApproachIntelligent Techniques for Crowd Detection And People Counting- A Systematic_StudyTwitter Sentiment Analysis of Public Opinion on COVID-19 Vaccines |
| Record Nr. | UNINA-9910743214103321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||