top

  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.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advances in Artificial Intelligence and Machine Learning in Big Data Processing : First International Conference, AAIMB 2023, Chennai, India, August 17–18, 2023, Proceedings, Part-II / / edited by R. Geetha, Nhu-Ngoc Dao, Saeed Khalid
Advances in Artificial Intelligence and Machine Learning in Big Data Processing : First International Conference, AAIMB 2023, Chennai, India, August 17–18, 2023, Proceedings, Part-II / / edited by R. Geetha, Nhu-Ngoc Dao, Saeed Khalid
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (342 pages)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Machine learning
Expert systems (Computer science)
Data mining
Artificial Intelligence
Machine Learning
Knowledge Based Systems
Data Mining and Knowledge Discovery
ISBN 3-031-73068-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Artificial Intelligence and Data Analytics. -- Feature Fusion Based Bayesian model detection in the prognosis of glioma - A Survey. -- AI Voice Assistant Using Python. -- Research Output on Artificial Intelligence in India: A Scientometric study. -- Analyzing Hand Gestures using Object Detection and Processing it into Local Language. -- A Review of an Automated Model for Sexist Language Detection and Replacement of Sexist Terms. -- Machine Learning. -- Detection of DoS Attack using Machine learning in Software Defined Network. -- Regression Model Approach towards Concrete Compressive Strength Prediction and Evaluation. -- An Enhanced Artificial Neural Network Model for type 2 Diabetes Classification 84 using SMOTE and SMOTETomek with Effective Feature Selection Methods. -- Machine Learning based Traffic Congestion and Accident Prevention Analysis. -- A Comparative Evaluation of Machine Learning Methods for Predicting Chronic Kidney Disease. -- Detecting Implicit Aspects of Customer Experience in the Hotel Industry Using a Machine Learning Algorithm. -- Vehicle Insurance Claim Prediction. -- Ensemble Learning Models for Detecting Spam Over Social Networks Using RFE. -- An Intelligent Machine Learning Framework for Melanoma Classification System: A Critique. -- Online Network Intrusion Detection System for IOT structure using Machine Learning Techniques. -- An Analysis of Machine Learning Tools and Algorithms. -- Ensemble Learning-Based Android Malware Detection. -- Handling Imbalanced Data for Credit Card Fraudulent Detection: A Machine Learning Approach. -- An Enhanced Learning Model Based on an Improved Random Forest Classifier and an Integrated Attribute Selector for Healthcare Datasets. -- Engineering Open Access Research Analysis of Machine Learning Publications in India. -- Optimizing Coronary Illness Prediction Using Hyperparameter Tuning Through Machine Learning. -- Detection and Classification of Intracranial Tumor in Machine Learning using Fuzzy C-Means Algorithm. -- A survey of Anomaly Detection in Video Surveillance. -- Prediction and comparison of ML Algorithm for Heart Disease. -- Comparative Analysis of Classifiers for Chat Classification: A Study on Random Forest, Support Vector Machine and Multinomial Naive Bayes with Bag of Words and TF-IDF.
Record Nr. UNINA-9910983485603321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Artificial Intelligence and Machine Learning in Big Data Processing : First International Conference, AAIMB 2023, Chennai, India, August 17–18, 2023, Proceedings, Part-I / / edited by R. Geetha, Nhu-Ngoc Dao, Saeed Khalid
Advances in Artificial Intelligence and Machine Learning in Big Data Processing : First International Conference, AAIMB 2023, Chennai, India, August 17–18, 2023, Proceedings, Part-I / / edited by R. Geetha, Nhu-Ngoc Dao, Saeed Khalid
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (343 pages)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Machine learning
Expert systems (Computer science)
Data mining
Artificial Intelligence
Machine Learning
Knowledge Based Systems
Data Mining and Knowledge Discovery
ISBN 3-031-73065-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Artificial Intelligence and Data Analytics. -- A Novel Revolutionizing Medical Surgery Procedures Using Mixed Reality. -- Data Mining-based Classification Algorithms for Predicting Mental Health. -- Topological Navigation of Path Planning Using a Hybrid Architecture in Wheeled Mobile Robot. -- Abnormal Behaviour Detection in Surveillance Videos. -- ISAApp – Image based Smart Attendance Application. -- A Self-Learning AI-based Information Leak Protection System. -- Deep Learning. -- Enhancing Abnormal Object Detection in Camera Based Systems through Computer Vision and Deep Learning Techniques. -- Detection and Classification of Brain Tumor in Magnetic Resonance Images Using CNN. -- Diagnosis of Parkinson’s disease using Machine Learning and Deep Learning Techniques. -- A Survey on Deep Learning Based Human Activity Recognition System. -- A Deep Learning Approach for Non - Invasive Body Mass Index Calculation. -- Early-Stage Detection of Alzheimer’s Disease Using MRI Scans with Deep Learning. -- Penguin Search Optimization with Deep Learning based Cybersecurity Malware Spectrogram Image Classification. -- Detection and Classification of Skin Disease Using CNN. -- Estimation of Above Ground Biomass Using Machine Learning and Deep Learning Algorithms: A Review. -- URL Phishing Detection using Deep Learning and Machine Learning Techniques. -- Enhanced Disease Recognition and Classification in Black Gram Plant Leaves using Deep learning. -- Ensemble Deep Learning Approach for Identification of DDOS Attack. -- ROCLT : Enhanced Text classifier for Sentiment on Imbalanced Multiclass Tweet Data using Hybrid Deep Learning Techniques. -- Computer Vision to Animal Footprint Classification Based on Deep Learning Model. -- Speech Emotion Recognition Using CNN Classifier Based on Deep Learning Model. -- Face Detection and Recognition for Criminal Identification System using Deep Learning. -- Automated Essay Grading System for IELTS using Bi-LSTM. -- Automized Quick Prediction of Skin Cancer Diagnosis by Enhanced Deep Convolutional Neural Network. -- Clustering based Demand Prediction using Long ShortTerm Memory (LSTM) in Retail Supply Chains. -- Early Detection of Diabetic Retinopathy using Deep Convolutional Neural Network.
Record Nr. UNINA-9910983319203321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui