[PDF][PDF] Big data analytics in developing smart and sustainable solutions for the agricultural industry1

VS Lohit, MM Mujahid - Technoarete Transactions on …, 2022 - technoaretepublication.org
Here, the main aim of this paper is to discuss the process and procedure of big data
analytics that can develop smart and sustainable solutions for the agricultural industries …

[PDF][PDF] Blockchain & IOT Applications in Supply Chains, Transparency & Traceability: A Systematic Review of the Literature

EB Noor, TZ Arnob, ARMH Rashid - Proceedings of the 5th …, 2022 - ieomsociety.org
The purpose of this paper is to review the existing literature on blockchain technology,
present some trends and consider its potential value in different sectors of supply chain …

Performance Evaluation of Data Augmentation for Object Detection in XView Dataset

J Olamofe, X Dong, L Qian… - … Conference on Intelligent …, 2022 - ieeexplore.ieee.org
Object detection in overhead imagery is of great importance in computer vision. xView is one
of the largest publicly available datasets of overhead imagery. Because limited amount of …

Enhancing Healthcare Informatics Through Deep Learning With Graph-Based Models and Self-Distillation

S Banerjee - 2024 - search.proquest.com
Deep learning has revolutionized the areas of computer vision, natural language
processing, robotics, medical image processing and many others. In this dissertation, we …

COVID-19 Detection Based on Deep Learning Feature Extraction and AdaBoost Ensemble Classifier

AS Mubarak, S Serte, ZS Ameen… - … Intelligence of Health …, 2023 - taylorfrancis.com
In January 2020, the World Health Organization (WHO) declared the deadly disease
Coronavirus 2 (COVID-19) as a global pandemic. The COVID-19 virus can be detected by …

Lung Disease Diagnosis Using Various Deep Learning Algorithms from the chest X-ray images

S Benkrama, NE Hemdani - 2024 2nd International Conference …, 2024 - ieeexplore.ieee.org
Over the past last years, computer vision and deep learning (DL) have completely changed
the world. So-called deep neural networks, which capitalize on advancements in processing …

Big Data Analytics in Patient Care During Coronavirus Disease 2019 (COVID-19) Pandemic: A Systematic Review

A Andy, SMZ El-Hamzah, J Sinatra - … (Jurnal Medicoeticolegal dan …, 2022 - jmmr.umy.ac.id
The latest advancements in the field of computational techniques and big data analytics
(BDA) are very helpful in dealing with the spread of coronavirus disease 2019 (COVID-19) …

Revolutionizing Warehouse Management With Image Processing: A Review of Current Trends and Future Directions

KNAS Iyer, S Mahalakshmi, SH Kumar… - … of Research on Thrust …, 2023 - igi-global.com
The future directions and current trends of warehouse management using image processing
techniques are thoroughly reviewed in this chapter. The chapter starts off with a summary of …

Utility of an Automated Artificial Intelligence Echocardiography Software in Risk Stratification of Hospitalized COVID-19 Patients

TKM Wang, PC Cremer, N Chan, H Piotrowska… - Life, 2022 - mdpi.com
Cardiovascular risk factors, biomarkers, and diseases are associated with poor prognosis in
COVID-19 infections. Significant progress in artificial intelligence (AI) applied to cardiac …

[PDF][PDF] Comparison of diagnostic accuracy of the AI system with human readers in the diagnosis of portable chest x-rays during the COVID-19 pandemic

LR David, W Elshami, A Alshuweihi, A Obaideen… - 2022 - researchgate.net
Background: Evaluating the performance of the available machine learning software is
fundamental to ensure trustworthiness and improve automated diagnosis. This study …