IEEE

Deterministic Gradient-Descent Learning of Linear Regressions: Adaptive Algorithms, Convergence Analysis and Noise Compensation

Abstract: Weight learning forms a basis for the machine learning and numerous algorithms have been adopted up to date. Most of the algorithms were either developed in the stochastic framework or aimed ...
IEEE

A Cutting Plane-Based Distributed Algorithm for Non-Smooth Optimisation With Coupling Constraints

Abstract: In this letter, we study a general setup for constrained convex optimisation over time-varying networks. We propose a distributed algorithm, based on the cutting plane method, to address non ...
Scientific Research Publishing

Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum Technologies ()

Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum Technologies. Journal of Applied Mathematics and Physics, 13, 4341-4354. doi: ...
Frontiers

Early prediction of ARDS caused by non-pulmonary sepsis based on machine learning algorithms of inflammatory indicators and blood gas parameters

Objective: Acute respiratory distress syndrome (ARDS) is a common complication in patients with non-pulmonary sepsis. Early identification and prediction of the occurrence of ARDS in non-pulmonary ...