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.
Advances in Machine Learning and Big Data Analytics I : ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 / / edited by Ashokkumar Patel, Nishtha Kesswani, Madhusudhan Mishra, Preetisudha Meher
| Advances in Machine Learning and Big Data Analytics I : ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 / / edited by Ashokkumar Patel, Nishtha Kesswani, Madhusudhan Mishra, Preetisudha Meher |
| Autore | Patel Ashokkumar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (870 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
KesswaniNishtha
MishraMadhusudhan MeherPreetisudha |
| 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 Estadística matemàtica Aprenentatge automàtic Investigació quantitativa Intel·ligència artificial Processament de dades Mineria de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031513381
303151338X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Similarity Analysis of Protein Sequences with a New 3-D Graphical Representation Technique -- Enhanced Security and Robustness of Data Using Steganography -- A TTIG Based Deep Convolution Combined GAN and CLS for Text to Image Synthesis -- Smart Agricultural Greenhouse System: A Context-aware Application -- Improving Performance of Plant Disease Detection using YOLOv7 and YOLOv8 -- Detection of Congenital Heart Disease from Heart Sounds using 2DCNN-BiLSTM with Attention Mechanism -- Automated Reviewer Assignment Process using Machine Learning Technique -- A Method for Detecting Retinal Micro aneurysms in the Fundus Using CR-SF And RG-TF -- Pilot Super Resolution Network (PSRN) based Mango fruit Classification -- Performance Evaluation of Quality of Service (QoS) in Modified Ad hoc On-Demand Distance Vector (MAODV) Routing Protocol in Manets -- Minimize the Energy Consumption to Increase the Network Lifetime for Green IoT Environment -- Unveiling Hate Speech: Identifying Toxic Comments Targeting Women in Online Social Media Posts -- Identification of retinal fundus in diabetic patients using deep learning algorithms -- Smart Health Prediction Using Random Forest -- Vulnerability Assessment and Penetration Testing Using Parrot Operating System -- Assessing NSAID Threat Degree of Unfavorable Medical Reactions Using Machine Learning -- Searchable Encryption for Privacy Preserving with Fine Grained Access Control -- Classification for Disease Gene Association -- Machine Learning-Based Air Pollution Monitoring And Forecasting -- A Novel parasitic mushroom-like structure with high gain microstrip patch antenna for broadband applications -- Facial Emotion Recognition using Artificial Intelligence -- A Hybrid Machine Intelligence Demographic Feature Selection Approach to Improve Recommendation System in Social Domain -- An Exploratory Review of Machine Learning and Deep Learning Applications in Healthcare Management -- Bone Fracture Prediction using Machine Learning and Deep Learning Techniques -- Plant Disease Detection Using Modern Deep Learning Approach: YOLOv7 -- Analysis of the life insurance business performance based on COVID by using machine learning algorithms -- An Ensemble Model of Skin Disease Detection Using CNN and Transfer Learning -- Session Based News Recommendation System -- A Fusion-based Approach for Generating Image Captions -- Comparison of Machine Learning Algorithms for Detection of Stuttering in Speech -- The Evolutionary Impact of Pattern Recognition in Research Applications – A Wide Spectrum Survey -- Prediction of GATE Examination Clearance for Fresh Graduate Candidates: An Advanced Machine Learning Approach -- Foreseeing Worker Attrition Using Machine Learning -- Mouse Controlling Using Eyeball Action -- Power Quality Improvement by Using Shunt Hybrid Active Power Filter -- Integration of Renewable Energy Systems into utility grid: A review on Power Quality Issues, Mitigating devices and Control Algorithms -- Traffic Control System for Congestion Control and Ambulance Clearance -- QR Based Authentication for Login and Payment -- Smart Irrigation Watering System Using IoT -- IoT Based Transmission Line Multiple Fault Detection and Indication to Electricity Board -- Design Of Off Board Electric Vehicle Charger Using PV Array Through Matlab-Simulink -- Human stress detection in sleep mode compared with non-sleep mode using machine learning algorithms -- Medical Diagnosis Prediction using Deep Learning -- Detecting Hard Landing of Flights: E-Pilots -- Detection of Glaucoma Using MobileNet, XAI and IML -- Attainment Expedients of Markovian Heterogeneous Water Heaters in Queueing Models by Matrix Geometry Method -- Identification Of Medicinal Plants Using Inception V3 Model -- Smart Gardening Using Internet of Things -- Predictive Analytics of Blood Donor Risk Assessment Using Machine Learning Methods -- Risk Analysis of Covid-19 Patients Mortality Rate in Emergency Ward -- Machine Learning Classification Analysis on Leaf Disease Data -- Conversion of Type-2 Intuitionistic Fuzzy Sets into Interval-valued Intuitionistic Fuzzy Sets and its implementation in Decision Making -- A Framework for Secure Database and Similarity Comparison in Android -- A Comprehensive review and a Conceptual framework for predicting the position of the mobile sinks in Wireless sensor networks -- Brain Computer Interface for Multiple Applications Control -- Predicting Student Academic Performance using Machine Learning: A Comparison of Classification Algorithms -- A Novel Approach in Machine Learning for Solar Energy Prediction System -- Real-time Tomato Leaf Disease Detection and Diagnosis using Deep Learning-based Computer Vision Techniques -- Index. |
| Record Nr. | UNINA-9910983069003321 |
Patel Ashokkumar
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Machine Learning and Big Data Analytics II : ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30
| Advances in Machine Learning and Big Data Analytics II : ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 |
| Autore | Patel Ashokkumar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (423 pages) |
| Altri autori (Persone) |
KesswaniNishtha
SambanaBosubabu |
| Collana | Springer Proceedings in Mathematics and Statistics Series |
| ISBN | 3-031-51342-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911028656503321 |
|
Patel Ashokkumar
|
||
| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||