<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper-Conference |</title><link>https://snigdhasen.in/publication_types/paper-conference/</link><atom:link href="https://snigdhasen.in/publication_types/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://snigdhasen.in/media/sharing.jpg</url><title>Paper-Conference</title><link>https://snigdhasen.in/publication_types/paper-conference/</link></image><item><title>3D CNNs for Hyperspectral-Based Water Potability Detection</title><link>https://snigdhasen.in/publications/alla-2026-water/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/alla-2026-water/</guid><description/></item><item><title>Efficient LLM Framework Using LORA Based Fine Tuning to Analyze Textual Astronomical Data</title><link>https://snigdhasen.in/publications/parvez-2026-llm/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/parvez-2026-llm/</guid><description/></item><item><title>Harnessing The Potential of Pandas and PySpark: An In-Depth Performance Evaluation for Machine Learning Classification on Single Node Architectures</title><link>https://snigdhasen.in/publications/tufani-2025-pyspark/</link><pubDate>Fri, 01 Aug 2025 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/tufani-2025-pyspark/</guid><description/></item><item><title>Extensive Log Analysis Using Small Language Models in Minimal Resource Environments</title><link>https://snigdhasen.in/publications/saha-2025-logs/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/saha-2025-logs/</guid><description/></item><item><title>Comprehensive Performance Analysis of PySpark and Pandas for Classification and Clustering Task</title><link>https://snigdhasen.in/publications/tufani-2025-pandas/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/tufani-2025-pandas/</guid><description/></item><item><title>Real-Time Object Detection and Tracking Using Mobinet and SSD Algorithms</title><link>https://snigdhasen.in/publications/hassan-2025-objectdetection/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/hassan-2025-objectdetection/</guid><description/></item><item><title>Evaluating Efficacy of MAML Based Approach on Regression Using Astronomical Imbalanced Dataset</title><link>https://snigdhasen.in/publications/sen-2024-maml/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/sen-2024-maml/</guid><description/></item><item><title>Investigation of Clustering Methods for SDSS Galaxy Images through Feature Extraction with VGG-16</title><link>https://snigdhasen.in/publications/sen-2024-sdss/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/sen-2024-sdss/</guid><description/></item><item><title>Interpretable Predictions for crime categories using log loss approach for imbalanced target feature</title><link>https://snigdhasen.in/publications/manasa-2024-crime/</link><pubDate>Fri, 01 Mar 2024 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/manasa-2024-crime/</guid><description/></item><item><title>A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate</title><link>https://snigdhasen.in/publications/sen-2023-lipschitz/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/sen-2023-lipschitz/</guid><description/></item><item><title>An Energy-Efficient Deep Neural Network Model for Photometric Redshift Estimation</title><link>https://snigdhasen.in/publications/shreevershith-2023-energy/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/shreevershith-2023-energy/</guid><description/></item><item><title>Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform</title><link>https://snigdhasen.in/publications/sen-2021-spark/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/sen-2021-spark/</guid><description/></item><item><title>Internet of Things: an Introduction to Connecting the Unconnected</title><link>https://snigdhasen.in/publications/sen-2016-iot/</link><pubDate>Fri, 01 Apr 2016 00:00:00 +0000</pubDate><guid>https://snigdhasen.in/publications/sen-2016-iot/</guid><description/></item></channel></rss>