Paper-Conference

Large Language Models

Efficient LLM Framework Using LORA Based Fine Tuning to Analyze Textual Astronomical Data

sk-sahil-parvez

• Jan 1, 2026 • 1 min read

Deep Learning

3D CNNs for Hyperspectral-Based Water Potability Detection

haarika-alla

• Jan 1, 2026 • 1 min read

Big Data

Harnessing The Potential of Pandas and PySpark: An In-Depth Performance Evaluation for Machine Learning Classification on Single Node Architectures

rojer-tufani

• Aug 1, 2025 • 1 min read

Small Language Models

Extensive Log Analysis Using Small Language Models in Minimal Resource Environments

jayita-saha

• Jun 1, 2025 • 1 min read

Computer Vision

Real-Time Object Detection and Tracking Using Mobinet and SSD Algorithms

arbeena-hassan

• Jan 1, 2025 • 1 min read

Big Data

Comprehensive Performance Analysis of PySpark and Pandas for Classification and Clustering Task

rojer-tufani

• Jan 1, 2025 • 1 min read

Astronomical Data Analysis

Evaluating Efficacy of MAML Based Approach on Regression Using Astronomical Imbalanced Dataset

Dr. Snigdha Sen

• Nov 1, 2024 • 1 min read

Astronomical Data Analysis

Investigation of Clustering Methods for SDSS Galaxy Images through Feature Extraction with VGG-16

Dr. Snigdha Sen

• Jul 1, 2024 • 1 min read

Explainable AI

Interpretable Predictions for crime categories using log loss approach for imbalanced target feature

m.-manasa

• Mar 1, 2024 • 1 min read

Photometric Redshift

An Energy-Efficient Deep Neural Network Model for Photometric Redshift Estimation

k.-shreevershith

• Jan 1, 2023 • 1 min read

Photometric Redshift

A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate

Dr. Snigdha Sen

• Jan 1, 2023 • 1 min read

Photometric Redshift

Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform

Dr. Snigdha Sen

• Jan 1, 2021 • 1 min read

Dr. Snigdha Sen

• Apr 1, 2016 • 1 min read

No results found

Paper-Conference

Efficient LLM Framework Using LORA Based Fine Tuning to Analyze Textual Astronomical Data

3D CNNs for Hyperspectral-Based Water Potability Detection

Harnessing The Potential of Pandas and PySpark: An In-Depth Performance Evaluation for Machine Learning Classification on Single Node Architectures

Extensive Log Analysis Using Small Language Models in Minimal Resource Environments

Real-Time Object Detection and Tracking Using Mobinet and SSD Algorithms

Comprehensive Performance Analysis of PySpark and Pandas for Classification and Clustering Task

Evaluating Efficacy of MAML Based Approach on Regression Using Astronomical Imbalanced Dataset

Investigation of Clustering Methods for SDSS Galaxy Images through Feature Extraction with VGG-16

Interpretable Predictions for crime categories using log loss approach for imbalanced target feature

An Energy-Efficient Deep Neural Network Model for Photometric Redshift Estimation

A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate

Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform

Internet of Things: an Introduction to Connecting the Unconnected