Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...

Introduction Over several decades, the educational system in Ghana has been deeply shaped by memorization-based learning mdash; often referred to as rote learning .

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

Objectives Hypertension and depression frequently co-occur, complicating patient management and worsening outcomes. This scoping review aims to systematically map non-pharmacological interventions for ...

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

Showcase your company news with guaranteed exposure both in print and online Discover how AI and emerging technologies are reshaping businessand the cybersecurity strategies needed to stay… Where ...

The novel 3D wiring architecture and chip fabrication method enable quantum processing units containing 10,000 qubits to fit ...

Objective To assess the feasibility of conducting a cluster randomised controlled trial comparing the effects of Advanced Trauma Life Support (ATLS) and Primary Trauma Care (PTC) with standard care on ...

Deploy this example to create a 3D object reconstruction workflow that transforms stereo video input into high-quality 3D assets using state-of-the-art computer vision and neural rendering techniques.