Call for Papers - Volume 06 | Issue 01
2026-09-30
Future Technology (FUTECH) Journal provides open-access publication for submitted research papers.
FUTECH is a peer-reviewed journal, so only high-quality research works are published.
The Future Technology (FUTECH) Journal (ISSN 2832-0379) is an international, peer-reviewed, open-access journal focusing on emerging scientific and technological trends and is published quarterly online by Future Publishing LLC.
The FUTECH Journal aims to be a leading platform and a comprehensive source of information on the scientific and technological infrastructures that ensure a sustainable world. The multi-disciplinary FUTECH Journal covers research in Financial Technologies, Artificial Intelligence (AI), Computer Science, Quantum Technologies, Material Science, Environmental Technologies, Biotechnologies, Biomedical technologies, Physical Sciences (including Physics, Chemistry, Astronomy and Earth Science), Electrical, Mechanical, Aerospace, Chemical, Medical, and Industrial Engineering.
The peer-reviewed, open-access FUTECH Journal is steered by a distinguished editorial board and supported by an international team of reviewers, including outstanding professors and researchers from prominent institutes and universities worldwide. The FUTECH Journal aims to provide an advanced forum for technological investigations to both technology researchers and professionals in related disciplines.
2026-09-30
Future Technology (FUTECH) Journal provides open-access publication for submitted research papers.
FUTECH is a peer-reviewed journal, so only high-quality research works are published.
The August 2026 issue of Future Technology Journal presents cutting-edge research in artificial intelligence, cybersecurity, IoT, smart communications, renewable energy, and sustainable engineering. The published papers highlight advances in federated learning, deep learning, blockchain, reinforcement learning, intelligent optimization, and data-driven decision-making, as well as innovative applications in 5G systems, smart cities, robotics, industrial analytics, healthcare, climate adaptation, and clean energy technologies. Collectively, these contributions demonstrate the growing impact of emerging technologies in building secure, intelligent, and sustainable solutions for the future.
Peer-reviewed articles that are accepted for publication in this journal are referred to as Articles in Press. Once the final version of an article is allocated to specific volumes/issues of the publication, the Article in Press version will be removed, and the final version will be included in the respective published volumes/issues. The original online availability date of an article will remain unchanged. Articles in Press can be cited. The appropriate citation method is indicated on the article's link under the "HOW TO CITE" section.
Vol. 5 No. 4 (2026): November 2026 Issue
The November 2026 issue of Future Technology presents a broad range of interdisciplinary research exploring the latest developments in artificial intelligence, advanced computing, digital transformation, and emerging engineering technologies. The issue highlights innovative applications of machine learning, deep learning, and reinforcement learning across diverse fields, including cybersecurity, healthcare, industrial automation, smart manufacturing, financial technology, transportation, and environmental monitoring. It also covers advances in cloud computing, the Internet of Things (IoT), federated learning, blockchain, digital forensics, and intelligent data processing, along with developments in computational modeling, renewable energy assessment, and engineering optimization. Collectively, these contributions demonstrate the growing role of intelligent and data-driven technologies in addressing complex real-world challenges, improving system performance and security, and supporting more efficient, sustainable, and interconnected technological systems.
Published: November 15, 2026