Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Discover how Ramkinker Singh's innovative dynamic scaling system revolutionises cloud security by intelligently managing ...
On the benchmark, Anthropic’s Claude Opus 4.5 Agent solved 37.4% whereas OpenAI’s GPT-5.1 Agent scored 43.1% on the full data ...
Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...
Background In December 2022, California prohibited the sale of most flavoured tobacco products; however, limited data are ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...
Vikas Jodigatte Nagaraj pushes for rigor, efficiency, and environmental awareness in engineering—and he believes in breaking down the walls between hardware and software. That mind-set keeps shaping ...
More than 122 million Americans including 1.7 million Oregonians ready to dash away PORTLAND, Ore., – AAA projects 122.4 ...
Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...
Objective China has continued to improve tuberculosis (TB) control in the past decade; however, the sudden outbreak of ...
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