Comparative Study
Comparative studies are a cornerstone of scientific advancement, rigorously evaluating different approaches to solve a problem or understand a phenomenon. Current research focuses on comparing various machine learning models (e.g., CNNs, Transformers, LLMs, and GANs) across diverse applications, including image classification, natural language processing, and optimization problems. These comparisons often involve analyzing the impact of different hyperparameters, data augmentation techniques, and training strategies on model performance and efficiency, leading to improved algorithms and more effective solutions. The insights gained from these studies are crucial for advancing both theoretical understanding and practical applications across numerous scientific disciplines and industrial sectors.
Papers - Page 5
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study
Md. Zehan Alam, Tonmoy Roy, H.M. Nahid Kawsar, Iffat RimiComparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts
Yanxin Shen, Lun Wang, Chuanqi Shi, Shaoshuai Du, Yiyi Tao, Yixian Shen, Hang Zhang
A Comparative Study of Machine Unlearning Techniques for Image and Text Classification Models
Omar M. Safa, Mahmoud M. Abdelaziz, Mustafa Eltawy, Mohamed Mamdouh, Moamen Gharib, Salaheldin Eltenihy, Nagia M. Ghanem+1PLN and NARS Often Yield Similar strength \times confidence Given Highly Uncertain Term Probabilities
Ben Goertzel
Enhancing Fingerprint Recognition Systems: Comparative Analysis of Biometric Authentication Algorithms and Techniques for Improved Accuracy and Reliability
Temirlan Meiramkhanov, Arailym TleubayevaComparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates
Sen Yan, David J. O'Connor, Xiaojun Wang, Noel E. O'Connor, Alan. F. Smeaton, Mingming Liu
Pole-based Vehicle Localization with Vector Maps: A Camera-LiDAR Comparative Study
Maxime Noizet (Heudiasyc), Philippe Xu (Heudiasyc), Philippe Bonnifait (Heudiasyc)Surveying Facial Recognition Models for Diverse Indian Demographics: A Comparative Analysis on LFW and Custom Dataset
Pranav Pant, Niharika Dadu, Harsh V. Singh, Anshul Thakur