Machine Learning and Big Data Analytics [[electronic resource] ] : 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 / / edited by Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, Priyanka Mishra |
Autore | Misra Rajiv |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (552 pages) |
Disciplina | 006.31 |
Altri autori (Persone) |
OmerRana
RajarajanMuttukrishnan VeeravalliBharadwaj KesswaniNishtha MishraPriyanka |
Collana | Springer Proceedings in Mathematics & Statistics |
Soggetto topico |
Mathematical statistics
Machine learning Quantitative research Artificial intelligence—Data processing Mathematical Statistics Machine Learning Data Analysis and Big Data Data Science Aprenentatge automàtic Dades massives |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-15175-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- A Comprehensive analysis on Mobile Edge Computing: joint offloading and resource allocation perspective -- Finding Significant Project Issues with Machine Learning -- Prediction of Heart Disease using various Data Analysis and Machine learning Techniques -- Artificial Intelligence: Recent Trends, Opportunities and Challenges in Real-World Scenarios -- Bilingual documents text line extraction using Conditional GANs -- Performance Comparison of YOLO Variants for Object Detection in Drone Based Imagery -- A Microservice Architecture with Load Balancing Mechanism in Cloud Environment -- An IoT Application for Detection and Monitoring of Manhole -- Resource Allocation in 5G & Beyond Edge-Slice Networking using Deep Reinforcement Learning -- The Important Influencing Factors in Machine Translation -- Damaged units return Investigation in Printer producing Industry utilizing Big Data -- Colorization of Grayscale Images: An Overview -- Evolutionary Approaches Towards Traditional to Deep Learning Based Chatbot -- Analysis of Machine Learning Algorithms for Detection of Cyber Bullying on Social Networks -- Sentiment Analysis of Political Tweets for Israel using Machine Learning -- A Novel Approach for Real-time Vehicle Re-identification using Content-based Image Retrieval with Relevance Feedback -- Extractive and Abstractive Text Summarization Model fine-tuned based on BERTSUM and Bio-BERT on COVID-19 Open Research Articles -- RevCode for NLP in Indian Languages -- Application for Mood Detection of Students Using TensorFlow and Electron JS -- By Using CNN Technique and Webcam to Identify Face Mask Violation -- A Review on Internet of Things based Cloud Architecture and Its Application -- Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods -- HRescue: A Modern ML approach for Employee Attrition Prediction -- Using Machine Learning to Detect Botnets in Network Traffic -- Reducing Peak Electricity Demands of a Cluster of Buildings with Multi-agent Reinforcement Learning -- Virus Texture Classification using Genetic Algorithm and Pre-trained Convolutional Neural Networks -- Fog Computing enabled Internet of Things for resource optimization -- Network Media Content Model in the era of Smaft Devices -- Sentimental Analysis of Stock Market via Twitter -- Detection and Classification of Tumor Tissues in Colorectal Cancer using Pathology Images -- Challenges encountered in the implementation of machine learning in the healthcare industry -- Performance Evaluation of Deep Learning Architectures for Recognition of Moisture in Dried Coconut Copra -- Training Generative Adversarial Networks(GANs) over Parameter Server and Worker Node Architecture -- Handwritten Digit Recognition using Neural Network with Gabor Filter for Information Fusion -- FAFOC: Fog Based Energy Efficient Clustering Technique for Wireless Sensor Networks -- Evaluation of Supervised Classifiers for Fake News Detection using Twitter Dataset -- Analysis of Pest Recognition using Lightweight CNN -- Early Prediction of Alzheimer Disease Using Ensemble Learning Models -- Cattle Identification from Muzzle Print Image Pattern Using Hybrid Feature Descriptors and SVM -- Evaluate and Detection of Breast Cancer using Data Mining Models -- Lung Cancer Disease Prediction Using Machine Learning Techniques -- Video to Text Generation Using Sentence Vector and Skip Connections -- Machine Learning Techniques for COVID-19 pandemic updates for Analysis, Visualization and Prediction system -- Design and CFD Analysis of Drone Thrust with Duct -- Index. |
Record Nr. | UNINA-9910729895203321 |
Misra Rajiv
![]() |
||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Reliable and Energy Efficient Streaming Multiprocessor Systems / / by Anup Kumar Das, Akash Kumar, Bharadwaj Veeravalli, Francky Catthoor |
Autore | Das Anup Kumar |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XIV, 147 p. 50 illus., 29 illus. in color.) |
Disciplina | 004.35 |
Collana | Embedded Systems |
Soggetto topico |
Electronic circuits
Microprocessors Logic design Circuits and Systems Processor Architectures Logic Design |
ISBN | 3-319-69374-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Introduction -- chapter 2.Operational Semantics of Application and Reliability Model -- Chapter 3.Literature Survey on System-level Optimizations Techniques -- Chapter 4.Reliability and Energy-Aware Platform-Based Multiprocessor Design -- Chapter 5.Reliability and Energy-Aware Co-design of Multiprocessor Systems -- Chapter 6.Design-time Analysis for Fault-Tolerance -- Chapter 7.Run-time Adaptations for Lifetime Improvement -- chapter 8.Conclusions and Future Directions. |
Record Nr. | UNINA-9910299868803321 |
Das Anup Kumar
![]() |
||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|