Journal Description

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.

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.

August 2026 Issue
Volume 5, Number : 3
August 15, 2026
Current Issue
In Press
Volume 6, Number : 1
Issue Description

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.

Nov 2, 2026
Mohammed S. H. Al-Tamimi, Roaa S. Abed Alah, Sarah Riyadh Adnan
Statistic: 6
Nov 3, 2026
Lu Hong, Mohd Nor Shahizan Ali, Mohd Azul Mohamad Salleh
Statistic: 6
Nov 3, 2026
Hiyam Hashim Saeed, Ziyad Tariq Mustafa Al-Ta'i
Statistic: 5

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

A framework for integrating artificial neural networks and finite element analysis for shear strength prediction in unreinforced RC beam–column joints

1-14 Ranim Maatouq, Rouya Hdeib
138

Multi-agent generative AI ecosystems for cyber-physical systems in Industry 5.0

15-24 Kanaparthi Anil Kumar, K Hemachandran
228

AI-driven liability assessment framework for autonomous systems integrating machine learning with EU and Indian regulatory models

25-33 Rishi Srivastava, Sadaf Fahim, Garima Singh, Koyel Roy, Arunanshu Dubey, Rahul Tiwari
287

Evaluating human-like chatbot interaction in customer service: integrating anthropomorphism and conversational capability

34-48 Warjiyono Warjiyono , Hadiyanto Hadiyanto, Dinar Mutiara Kusumo Nugraheni
193

Client-side brute force attack detection leveraging large language models

49-62 Israa A. Abbas, Taha M. Hasan, Ruaa A. Suhail
152

Hybrid CNN-LSTM model for urban air pollution forecasting: towards early warning systems for public health: a case study of Baghdad and Basra

63-73 Israa Nadheer, Mohammed Imad Aal-nouman
264

Deep Q-network path planning with stratified sampling and prioritized replay

74-85 Yuxing Zhang, Setyawan Widyarto
130

Techno-economic assessment of commercial wind turbines for electricity generation in Nigeria

86-107 Youssef Kassem, Hüseyin Çamur, Muhammad Mahdi Eniola Lasisi
91

Leakage-aware federated-style simulation for fraud risk prediction in AI-enabled FinTech platforms

108-118 Jyoti Agarwal, Moin Uddin
152

A hybrid heuristic–reinforcement learning method for multi-table join optimization in cloud-native databases

119-132 Huichen Ma, Shaochun Liu
167

Advances in computational fluid dynamics for enhanced heat transfer applications in engineering systems: a critical review and comparative synthesis

133-145 Manjula G. J., Abhijeet Prakash Shah, Rajaram M. Shinde, P S V Ramana Rao, Avinash H. Kolekar, Mohammed Hameeduddin Haqqani
146

Wireless sensor network-based real-time monitoring system for large ship airbag launching: design and field validation

146-156 Ji Chen, Saiful Bahri Mohamed, W Noor Fatihah W.Mohamad, Al Khowarizmi, Rongtao Yang
87

A TF-IDF and logistic regression baseline for binary sentiment classification of short texts

157-168 Mustafa Ali Mohsin, Salam Abdulkhaleq Noaman
208

A fragile reversible watermarking technique for medical imaging security using prediction error expansion and Canny edge detection

169-180 Asaad F. Qasim, Ahmed Hussain Ali
74

A transformer-based explainable machine learning framework for heterogeneous ESG risk and return prediction using text intelligence

181-198 Feifei Fan, Asri Marsidi
63

An intelligent distance-driven community detection framework for complex networks using the longest distance node head technique (LDNHT)

199-210 Srinivas Amedapu, Leela Velusamy R
115

COVID-19 diagnosis using a decision tree algorithm

211-222 Zahoor M.Aydam, Tasadi M. Hanoon, Ghosoon K. Munahy
94

Global value chains, domestic value creation, and firm performance: machine learning evidence from Vietnam

223-231 Huynh Thi Thuy Giang, Nguyen Anh Phong, Tran Huong Thi
65

AI-driven multi-objective optimization of CNC machining parameters for enhanced surface finish and tool life

232-245 Arvinder Singh Channi, Altaf Hanifbhai Nalbandh, Amol R Madane, Vikas Gulati, Gadde Raghu Babu, Abhijit Chandratreya, Deepak Tripathi
142

XLeaf-Net: an explainable deep learning framework for mango leaf disease classification and severity assessment using Grad-CAM-based visual interpretation

246-256 Shweta Amar Satao, Swati R. Maurya
98

Probabilistic-temporal modeling of network security monitoring subprocesses for multi-stage attacks in IoT networks

257-269 Ammar Dawood Jasim, Mokhalad Al-Tameemi
85

Spatial–temporal machine learning for traffic violation type prediction: a case study in Qatar

270-283 Mohammed Alshriem, Yin Yang
113

Cybercrime law and digital forensics: adapting legal frameworks for future technologies

284-298 Vishal Anand, Apoorva Singh, Anuj Kumar Singh, Dal Chandra, Rahul, Navpreet Singh, Krishna Kumar
176

Deep transfer learning and radiomics synergy for enhanced lung cancer classification on CT scans

299-309 Mohammed S.H. Al-Tamimi, Amenah H. Abdulateef, Isra H. Abdulateef
76

A new hash function based on irreversible finite automata

310-319 Ghassan Salloom, Layth Hassnawi, Karam Mohammed, Mohammed Adhab
96

A deep learning-driven adaptive edge intelligence framework for real-time Internet of Things applications

320-334 Majd S. Ahmed
45

H-VSAF: a verifiable and privacy-preserving federated learning framework for secure remote healthcare monitoring

335-346 Sureshkumar S, Santhoshkumar S.P, Joseph James S, Priya R
49

Assessment of somatic excitability and dendritic responses in a reduced conductance-based CA1 neuron model

347-360 Youwang Yao
49

PoET²S: Folding a digital twin into validator selection for blockchain consensus in peer-to-peer energy trading

361-375 Zainab S Idan, Hussein Akeel Hussein Alaasam, Firas H. Neamah, Hussein Alrammahi
75

Multi-objective reinforcement-learning simulation for co-optimizing resource circularity and environmental performance in circular manufacturing

376-389 Ting Li, Logaiswari Indiran
35
View All Issues