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 …
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 …
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 …
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) …
parameters, namely, ammoniacal nitrogen (AN), biochemical oxygen demand (BOD) …
[HTML][HTML] Outlier Detection in Streaming Data for Telecommunications and Industrial Applications: A Survey
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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
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 …
significantly decreases quality of life. While the standard approach to identification and …