output
20172026
most citedEvaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images

69 citations

8 papers

cs.LG2026★ 3 cited

FedImp: Enhancing Federated Learning Convergence with Impurity-Based Weighting

Hai Anh Tran, Cuong Ta, Truong X. Tran

Federated Learning (FL) is a collaborative paradigm that enables multiple devices to train a global model while preserving local data privacy. A major challenge in FL is the non-In…

cs.DC2025★ 11 cited

Machine learning-based cloud resource allocation algorithms: a comprehensive comparative review

Deep Bodra, Sushil Khairnar

Cloud resource allocation has emerged as a major challenge in modern computing environments, with organizations struggling to manage complex, dynamic workloads while optimizing per…

cs.AI2025★ 8 cited

ADAM: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data Integration

Ziyuan Huang, Vishaldeep Kaur Sekhon, Roozbeh Sadeghian +5

Alzheimer's Disease Analysis Model (ADAM) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome pr…

math.DG2022

Catenoid limits of singly periodic minimal surfaces with Scherk-type ends

Hao Chen, Peter Connor, Kevin Li

We construct families of embedded, singly periodic minimal surfaces of any genus in the quotient with any even number of almost parallel Scherk ends. A surface in such a…

eess.IV2020★ 22 cited

An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images

Sagar Kora Venu

Pneumonia is caused by viruses, bacteria, or fungi that infect the lungs, which, if not diagnosed, can be fatal and lead to respiratory failure. More than 250,000 individuals in th…

cs.CV2020★ 69 cited

Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images

Sagar Kora Venu

Medical image datasets are usually imbalanced, due to the high costs of obtaining the data and time-consuming annotations. Training deep neural network models on such datasets to a…

cs.CV2018★ 3 cited

Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN

Yang Li, Sangwhan Cha

The way to accurately and effectively identify people has always been an interesting topic in research and industry. With the rapid development of artificial intelligence in recent…

math.OC2017

Linear Programming Formulations of Deterministic Infinite Horizon Optimal Control Problems in Discrete Time

Vladimir Gaitsgory, Alex Parkinson, I. Shvartsman

This paper is devoted to a study of infinite horizon optimal control problems with time discounting and time averaging criteria in discrete time. We establish that these problems a…