Sustainable Innovations in Statistics and Data Science

First International Conference, SISD 2025, Bangalore, India, March 27–28, 2025, Revised Selected Papers

AvApash Roy,Dalwin Vinoth Kumar

Häftad, Engelska, 2026

Del 9 i serien Advances in Computer Science Applications and Research

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2026-06-21
Mått:155 x 235 x 19 mm
Vikt:500 g
Format:Häftad
Språk:Engelska
Serie:Advances in Computer Science Applications and Research
Antal sidor:308
Förlag:Springer Nature Switzerland AG
ISBN:9783032299413

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Innehållsförteckning

.- 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.

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