Sustainable Innovations in Statistics and Data Science
Description
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.
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Content
.- 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<X<Z] Under Progressively Type II Censoring For Exponential Distribution.
.- 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.