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| Titolo: |
Artificial Intelligence : First International Symposium, ISAI 2022, Haldia, India, February 17-22, 2022, Revised Selected Papers / / edited by Arif Ahmed Sk, Turki Turki, Tarun Kumar Ghosh, Subhankar Joardar, Subhabrata Barman
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| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (347 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Database management |
| Artificial intelligence | |
| Computer vision | |
| Computer Networks | |
| Application software | |
| Database Management System | |
| Artificial Intelligence | |
| Computer Vision | |
| Computer and Information Systems Applications | |
| Persona (resp. second.): | SkArif Ahmed |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Information Systems, Mathematics and Data Analyses -- Anomaly detection in IoT using Extended Isolation Forest -- A novel dimensional reduction strategy based on a fine-pruned decision tree classifier for detecting DDoS attacks in cloud computing environments -- A survey on Large Dataset Minimum Spanning Trees -- Characterization of Simple Sequence Repeats: Evolutionary Implications from Ancient Human Mitochondrial Genome -- Comparative Exploration of Statistical Techniques for Landslide Identification and Zonation Mapping and Assessment: A Critical Review -- Enhanced Security and Privacy for IoT based Locker System operated at Low Frequency Spectrum using Blockchain -- Genetic Algorithm Based Adaptive PID Tuning of Time Delay Process -- Hybridization of Sine-Cosine Algorithm with K-Means for Pathology Image Clustering -- Industrial Warehouse Robot Simulation Using ROS -- Major Challenges and Threats of Blockchain Technology -- SecVT:Securing the Vehicles of Tomorrow using Blockchain Technology -- Applied Artificial Intelligence -- A Comparative Analysis of Machine Learning Based Sentiment Analysis -- ANN-Based Performance Prediction in MoCs -- Assessment of shallow and deep learning models for prediction of sea surface temperature -- Bioinformatics Analysis of Oral Squamous Cell Carcinomas and Their Interaction to Identify Molecular Signatures -- Music Learning Android App Development forAutistic Children -- NecklaceFIR: A large volume benchmarked necklace dataset for fashion image retrieval -- Optimal Sample Size Calculation for Machine Learning Based Analysis for Suicide Ideation -- Query Focused Video Summarization: A Review -- Sleep-wake classification using acceleration data from wearable wrist worn sensors: review -- Understanding Fake News Detection on Social Media: A Survey on Methodologies and Datasets -- Freshness quality detection of tomatoesusing computer vision -- Facial Gesture Recognition based Real Time Gaming for Physically Impairment -- Deep Learning approaches for analysis and detection of Tomato leaf diseases -- Prediction of Impact Energy of Steel using Artificial Neural Network -- A New Method of Galaxy Classification Using Optimal Convolution Neural Network -- Early Detection of Pneumonia using Deep Learning Approach -- Concrete Crack Segmentation using Histogram Based Fast Clustering and Morphological Operators -- Human Gender Classification based on Hand Images using Deep Learning -- Artificial Intelligence based Smart Government Enterprise Architecture (AI-SGEA) Framework. |
| Sommario/riassunto: | This book constitutes the refereed proceedings of the First International Symposium on Artificial Intelligence, ISAI 2022, held in Haldia, India, during February 17-22, 2022. The 30 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: information systems, mathematics and data analyses; and applied artificial intelligence. . |
| Titolo autorizzato: | Artificial intelligence ![]() |
| ISBN: | 9783031224850 |
| 303122485X | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910639896103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |