Reviewer Recruitment – Join Our Editorial Mission
2025-05-13
The Artificial Intelligence, Quantum Computing, Robotics, and Science & Technology Journal (AIQCRSTJ) is expanding its pool of expert reviewers.
The Artificial Intelligence, Quantum Computing, Robotics, and Science & Technology Journal (AIQCRSTJ) is an international, peer-reviewed, open-access scholarly journal, published by Rhoda Zaxons (US), dedicated to advancing research and innovation across the interdisciplinary fields of artificial intelligence, quantum computing, robotics, and science & technology.
2025-05-13
The Artificial Intelligence, Quantum Computing, Robotics, and Science & Technology Journal (AIQCRSTJ) is expanding its pool of expert reviewers.
2025-05-13
Great news! The Artificial Intelligence, Quantum Computing, Robotics, and Science & Technology Journal (AIQCRSTJ) is now indexed in Google Scholar.
2025-05-13
We are pleased to invite researchers, scholars, and professionals to submit original research articles, review papers.
Personalized insurance pricing requires robust estimation of conditional loss distributions from high dimensional, heterogeneous data (demographics, medical records, telematics, claims histories). Classical ML techniques (gradient-boosted trees, deep neural networks, kernel methods) have advanced personalization but face computational and statistical limits when data are extremely high dimensio ... read more
High-frequency trading (HFT) strategies operate under extreme requirements of latency, high dimensional data streams, and rapid decision-making. Classical machine learning models, including support vector machines (SVMs), are widely used in algorithmic trading, but they face limitations when confronted with ultra-high dimensionality, non-stationarity, and the need for near-real-time inference. ... read more
E-commerce fraud detection is a critical component of transaction risk management for digital commerce platforms and payment systems. As fraud tactics grow in sophistication and dataset volumes escalate, conventional machine learning (ML) approaches face challenges in scalability, feature complexity, real-time detection and adversarial resilience. Meanwhile, quantum computing and hybrid quantum ... read more
As populations age globally, socially assistive and companion robots are emerging as promising tools to support older adults’ mental well-being and adherence to health routines (medication, exercise, appointments). This article synthesizes theoretical frameworks, empirical results, and technological approaches to human–robot collaboration (HRC) in eldercare, with a special focus on mental h ... read more
The acceleration of quantum computing (QC) presents unprecedented opportunities for computational finance, enabling efficient modeling of complex portfolios, derivative pricing, and risk optimization. However, the inherent noise, decoherence, and gate infidelity in near-term quantum devices termed Noisy Intermediate-Scale Quantum (NISQ) systems limit their practical deployment. This paper explo ... read more