Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art

AA Montevechi, R de Carvalho Miranda… - … Applications of Artificial …, 2024 - Elsevier
Ensuring financial stability necessitates responsible credit granting, so lending institutions
maintain sufficient regulatory capital to withstand losses from defaults. Classification …

Pneumonia detection proposing a hybrid deep convolutional neural network based on two parallel visual geometry group architectures and machine learning …

M Yaseliani, AZ Hamadani, AI Maghsoodi… - IEEE …, 2022 - ieeexplore.ieee.org
Pneumonia is an acute respiratory infection that has led to significant deaths of people
worldwide. This lung disease is more common in people older than 65 and children under …

Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia

YJ Wong, Y Shimizu, A Kamiya, L Maneechot… - Environmental …, 2021 - Springer
Rivers in Malaysia are classified based on water quality index (WQI) that comprises of six
parameters, namely, ammoniacal nitrogen (AN), biochemical oxygen demand (BOD) …

[HTML][HTML] Outlier Detection in Streaming Data for Telecommunications and Industrial Applications: A Survey

RN Mfondoum, A Ivanov, P Koleva, V Poulkov… - Electronics, 2024 - mdpi.com
Streaming data are present all around us. From traditional radio systems streaming audio to
today's connected end-user devices constantly sending information or accessing services …

Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment

M Yu, F Xu, W Hu, J Sun, G Cervone - IEEE Access, 2021 - ieeexplore.ieee.org
The rising temperature is one of the key indicators of a warming climate, capable of causing
extensive stress to biological systems as well as built structures. Ambient temperature …

A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract

Ö Yavuz - International Scientific and Vocational Studies Journal, 2022 - dergipark.org.tr
In having a healthy life, right nutrition with a life style balanced with exercise constitutes and
important value. This is mainly important for bodily functions that are provided by organs and …

A two-step feature selection radiomic approach to predict molecular outcomes in breast cancer

V Brancato, N Brancati, G Esposito, M La Rosa… - Sensors, 2023 - mdpi.com
Breast Cancer (BC) is the most common cancer among women worldwide and is
characterized by intra-and inter-tumor heterogeneity that strongly contributes towards its …

Significance of Physiological Signal Thresholds in the Early Diagnosis of Simulator Sickness

G Rahimzadeh, P Plawiak, S Mohamed, K Lacy… - IEEE …, 2024 - ieeexplore.ieee.org
Simulator sickness not only degrades the quality of interaction within simulator environments
but also poses challenges for user enjoyment and the long-term viability of simulation …

A combined approach of base and meta learners for hybrid system

AA Abro, WA Sıddıque, MSH Talpur… - Turkish Journal of …, 2023 - dergipark.org.tr
The ensemble learning method is considered a meaningful yet challenging task. To
enhance the performance of binary classification and predictive analysis, this paper …

[HTML][HTML] Diagnostic clinical decision support based on deep learning and knowledge-based systems for psoriasis: From diagnosis to treatment options

M Yaseliani, AI Maghsoodi, E Hassannayebi… - Computers & Industrial …, 2024 - Elsevier
Psoriasis is an acute immuno-dermatological disease, affecting people of all ages, which
significantly decreases quality of life. While the standard approach to identification and …