Reviewer Recruitment – Join Our Editorial Mission
2025-05-13
The Stem Cell, Artificial Intelligence and Data Science Journal is expanding its pool of expert reviewers.
The Stem Cell, Artificial Intelligence and Data Science Journal (SCAIDSJ) is an international, peer-reviewed, open-access scholarly journal dedicated to advancing research and innovation across the interdisciplinary fields of science, technology, and engineering. Published biannually, ACAIDSJ serves as a dynamic platform for academics, researchers, practitioners, and industry professionals to disseminate their original research findings, technical innovations, case studies, and critical reviews.
2025-05-13
The Stem Cell, Artificial Intelligence and Data Science Journal is expanding its pool of expert reviewers.
2025-05-13
Great news! Stem Cell, Artificial Intelligence and Data Science Journal 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.
Real-time or near-real-time characterization of stem cell differentiation is critical for developmental biology, regenerative medicine, and cell-therapy manufacturing. Advances in single-cell technologies (time-lapse live imaging, live transcriptomics, lineage recording) and machine learning (autoencoders, variational autoencoders, graph and contrastive methods) enable automated detection, clas ... read more
Fraudulent seller networks in e-commerce platforms exploit relational patterns across buyers, products, and transactions to perpetrate large-scale scams that evade traditional detection systems. Graph Neural Networks (GNNs) provide end-to-end representation learning on graph structures, enabling detection of anomalous subgraphs indicative of fraud rings. Complementing GNNs, TinyML brings on-dev ... read more
Robotics and autonomous vehicles (AVs) represent the vanguard of intelligent systems in manufacturing, logistics, and transportation. These domains are increasingly driven by advances in data science big data pipelines, real‐time analytics, and machine learning and by emerging quantum neural networks (QNNs) that promise exponential feature spaces and novel optimization capabilities. This arti ... read more