Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Ripples maintain time-locked occurrence across the septo-temporal axis and hemispheres while showing local phase coupling, revealing a dual mode of synchrony in CA1 network dynamics.

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...

Learn how HML impacts stock returns within the Fama-French model, highlighting value stocks' advantage over growth stocks for strategic investment insights.

Association of paleopalynological data from the Nanxiong Basin, south China, and late Paleocene niche expansion in endemic Asian fossil mammals.

Volumetric Karl Fischer titration accurately determines water content in various samples, adhering to European Pharmacopoeia ...

Organizational Justice, Distributive Justice, Procedural Justice, Team Performance Share and Cite: Shehzad, M. (2025) ...

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

James Chen, CMT is an expert trader, investment adviser, and global market strategist. David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of financial accounting, ...