Towards greener smart cities and road traffic forecasting using air pollution data
Road traffic flow forecasting is among the most important use case associated with smart
cities. Traffic forecasting allows drivers to select the fastest route towards their target …
cities. Traffic forecasting allows drivers to select the fastest route towards their target …
Classification of heart sounds using fractional fourier transform based mel-frequency spectral coefficients and traditional classifiers
Heart sounds are a rich source of information for early diagnosis of cardiac pathologies.
Distinguishing normal from abnormal heart sounds requires a specially trained clinician. Our …
Distinguishing normal from abnormal heart sounds requires a specially trained clinician. Our …
Numerical optimization of drug solubility inside the supercritical carbon dioxide system using different machine learning models
This research comprehensively investigates the solubility characteristics of five distinct drugs
including: Nystatin, Niflumic acid, Tolfenamic acid, Glibenclamide, and Rivaroxaban, across …
including: Nystatin, Niflumic acid, Tolfenamic acid, Glibenclamide, and Rivaroxaban, across …
AGRN: accurate gene regulatory network inference using ensemble machine learning methods
Motivation Biological processes are regulated by underlying genes and their interactions
that form gene regulatory networks (GRNs). Dysregulation of these GRNs can cause …
that form gene regulatory networks (GRNs). Dysregulation of these GRNs can cause …
Prediction of groundwater level variations in a changing climate: A Danish case study
RQ Gonzalez, JJ Arsanjani - ISPRS International Journal of Geo …, 2021 - mdpi.com
Shallow groundwater is a key resource for human activities and ecosystems, and is
susceptible to alterations caused by climate change, causing negative socio-economic and …
susceptible to alterations caused by climate change, causing negative socio-economic and …
Ciência de dados aplicada à Auditoria Interna
GF Soares - Revista da CGU, 2020 - revista.cgu.gov.br
O avanço da tecnologia de informação apresenta novas possibilidades e desafios as
atividades de auditoria interna. A ciência de dados apresenta diversos conceitos e técnicas …
atividades de auditoria interna. A ciência de dados apresenta diversos conceitos e técnicas …
[PDF][PDF] Model of tuned j48 classification and analysis of performance prediction in educational data mining
M Anoopkumar, A Rahman - Int. J. Appl. Eng. Res, 2018 - researchgate.net
Abstract Information-Technology (IT) and Data Engineering in Education nowadays decides
the quality and pace of learning achieved by. Use of Information Engineering and Machine …
the quality and pace of learning achieved by. Use of Information Engineering and Machine …
Computational investigations on anti-cancer drug solubility in supercritical solvent for efficient cancer therapy
Z Wang, Y Wan, H Li, Y Wang - Journal of Molecular Liquids, 2024 - Elsevier
This study focuses on the computational analysis of solubility of an anti-cancer drug namely
Temozolomide in SC-CO 2, utilizing a dataset consisting of pressure and temperature as …
Temozolomide in SC-CO 2, utilizing a dataset consisting of pressure and temperature as …
Linking assessment results and feedback representations in E-assessment: Evidence-centered assessment analytics process model
S Keskin, H Yurdugül - Visualizations and Dashboards for Learning …, 2021 - Springer
Learning analytics aim to understand and optimize learning and learning environments by
using learner, instructor, and system interaction data. Likewise, a subfield of learning …
using learner, instructor, and system interaction data. Likewise, a subfield of learning …
Heart Disease Prediction Using Ensemble Model
B Adhikari, S Shakya - … of Second International Conference on Sustainable …, 2022 - Springer
Heart is a vital organ of the human body. The mortality rate due to cardiovascular or heart
disease is in the rising trend. From the review of existing literature, timely diagnosis of the …
disease is in the rising trend. From the review of existing literature, timely diagnosis of the …