Buch, Englisch, Band 9, 308 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
Reihe: Advances in Computer Science Applications and Research
First International Conference, SISD 2025, Bangalore, India, March 27-28, 2025, Revised Selected Papers
Buch, Englisch, Band 9, 308 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
Reihe: Advances in Computer Science Applications and Research
ISBN: 978-3-032-29941-3
Verlag: Springer
This book consistutes the revised selected papers of the First International Conference on Sustainable Innovations in Statistics and Data Science, SISD 2025, held in Bangalore, India, during March 27-28, 2025.
The 23 papers included in these proceedings were carefully reviewed and selected from 264 submissions. The research presented covers a broad spectrum of themes, including statistical modeling, artificial intelligence, machine learning, health analytics, financial analytics, climate informatics, and sustainable development.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Whole Slide Image Thresholding using Opposition based Whale Optimization Algorithm.
.- Optimizing Radial Basis Function Networks to Comprehend and Alleviate Perturbation Effects.
.- Developing Hybrid FWA-Based RBFN for Close Price Prediction of Bitcoin.
.- Developing TLBO-Based LSTM for Stock Indices Price Forecasting.
.- Dynamic Pooling Based Weights: An Efficient Hybrid Model for Time Series Forecasting.
.- Segmentation of Cell Structures in Cytopathological Images Derived from Swiss Albino Mice using Mathematical Morphology.
.- Bayes Shrinkage Estimation For P[Y
.- A Tailored Vision Transformer for Precise Identification and Classification of Paddy Leaf Diseases with Multi-Modal Fusion.
.- Introduction to Mixture Distributions and Their Applications.
.- Lifespan Prediction using Izhikevich Neurons in NENGO.
.- An enhanced Bidirectional Stacked LSTM with Mish Activation for Predicting Parkinson's Disease with Voice Features.
.- Measures of Difficulty Index of Various Sets of Multiple-Choice Questionnaires.
.- Crop Yield Prediction using Data Mining and Machine Learning.
.- Raw Food Ingredient Classification with Denoising and Hybrid Deep Learning.
.- A comparative analysis of Combination Strategies in ARIMA-LSTM Hybrid Models for Time Series Forecasting.
.- FPGA_HDL: Design and implementation of an efficient elevator control system using FPGA.
.- Unifying Statistical and Machine Learning Models to Identify and Envisage Gestational Diabetes Risk Factors.
.- Explainable AI for visualization of Chest X-ray image classification.
.- Integrating Technical, Fundamental and Sentiment Analysis for Enhanced Stock Price Prediction – A Hybrid Model Approach.
.- Forecasting U.S Unemployment Rate Using Hybrid INTARIMA (Interacted ARIMA) – LSTM Model.
.- Feature Selection in LLM vs. Human Text Classification: A Machine Learning and Deep Learning Approach.
.- Automated Medical Snippets Generation From Patient Discharge Summaries Using Nlp And Llm Models - A Review.
.- Semantic similarity measures on medical discharge summaries- A detailed review on EMR’s Datasets.
