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

The decision intelligence market is growing rapidly as organizations adopt AI, ML, and analytics-powered tools to improve operational efficiency, gain real-time insights, and strengthen strategic ...

Q3 2026 Earnings Call Transcript December 3, 2025 Dollar Tree, Inc. beats earnings expectations. Reported EPS is $1.21, ...

Background: Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and ...

How can closely related mental illnesses with similar symptoms be reliably distinguished from one another? As part of a German-Chinese collaboration, researchers from Forschungszentrum Jülich and ...

Kelley Cotter has received funding from the National Science Foundation. President Donald Trump announced on Sept. 19, 2025, a preliminary agreement for the sale of a majority stake in TikTok from ...

The NFL said it was “the league’s decision” to hold a moment of silence for Charlie Kirk ahead of Thursday night’s game between the Washington Commanders and Green Bay Packers. It’s up to the clubs ...

Collective decision-making is hardly a perfect science. Broken processes, data overload, information asymmetry, and other inequities only compound the challenges that come from large, disparate ...

Abstract: In this paper, we propose a two-stage soft-decision decoding (SDD) algorithm for BCH codes. At the first stage, we search for test error patterns (TEPs ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...

There’s a concept in psychology known as “hindsight bias.” It’s the idea that if you ask people if they think they could have predicted the future before it happened, they’ll almost always ...

Community health outcomes significantly impact older populations' wellbeing and quality of life. Traditional analytical methods often struggle to accurately predict health risks at the community level ...