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.

Announcements

Call for Papers - Volume 05 | Issue 04

2026-07-08

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Future Technology (FUTECH) Journal provides Rapid Open Access Publication for submitted research papers.

FUTECH is a peer-reviewed journal, so only high-quality research works are published.

May 2026 Issue
Volume 5, Number : 2
May 15, 2026
Current Issue
In Press
Volume 5, Number : 4
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. It's important to note that Articles in Press can be cited. The appropriate citation method is indicated on the initial page of the PDF file associated with the articles.

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

Jul 11, 2026
Ranim Maatouq, Rouya Hdeib
PDF
Statistic: 16

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

Jul 16, 2026
Kanaparthi Anil Kumar, K Hemachandran
PDF
Statistic: 12

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

Jul 17, 2026
Rishi Srivastava, Sadaf Fahim, Garima Singh, Koyel Roy, Arunanshu Dubey, Rahul Tiwari
PDF
Statistic: 13

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

Jul 18, 2026
Warjiyono Warjiyono , Hadiyanto Hadiyanto, Dinar Mutiara Kusumo Nugraheni
PDF
Statistic: 12

Client-side brute force attack detection leveraging large language models

Jul 20, 2026
Israa A. Abbas, Taha M. Hasan, Ruaa A. Suhail
PDF
Statistic: 9

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

Jul 21, 2026
Israa Nadheer, Mohammed Imad Aal-nouman
PDF
Statistic: 10

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

Jul 21, 2026
Yuxing Zhang, Setyawan Widyarto
PDF
Statistic: 6

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

Jul 22, 2026
Youssef Kassem, Hüseyin Çamur, Muhammad Mahdi Eniola Lasisi
PDF
Statistic: 8

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

Jul 25, 2026
Jyoti Agarwal, Moin Uddin
PDF
Statistic: 5

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

Jul 27, 2026
Huichen Ma, Shaochun Liu
PDF
Statistic: 3

Current Issue

Vol. 5 No. 3 (2026): August 2026 Issue

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.

Published: August 15, 2026

Articles

Mixture encoder and virtual RAM-based polar decoder architecture for high-speed 5G communication systems

1-16 TR. Parthasarathy, N.R. Krishnamoorthy
PDF
259

Blockchain-driven secure message dissemination in 5G-enabled SDN-IoV using graph-based byzantine consensus and Merkle tree-BLS authentication

17-34 Ravindra Janardan Lawande, Sudhir Bapurao Lande, Manisha Lande
PDF
281

Split-CNN for intrusion detection: enhancing feature diversity and training efficiency through channel separation

35-44 Harish G N, Annapurna H S
PDF
278

Distributed coalition-based resource orchestration for heterogeneous IoT devices in metropolitan smart cities

45-56 Si Liu, Midhun Chakkaravarthy
PDF
113

Design and fabrication of an efficient solar powered desalination system for remote communities

57-68 Sujesh Kumar, G.C. Prabhakar, Sandhyarani Mahalik, Sandeep Kumar Sahoo, Prashant Kharote, Abdul Khadar Asundi, Mohammed Hameeduddin Haqqani
PDF
325

Real-time obstacle avoidance in mobile robots using deep reinforcement learning

69-76 Roja BA, Priyanka Mishra, M. Kalaimani, Prachi Juyal, P.K. Anjani, Rakhi Dua, Pushpa Mamoria
PDF
1393

Experimental and sustainability-driven engineering assessment of recycled concrete aggregates: mechanical performance, durability, environmental and economic implications

77-84 Amitava Sil, Archanaa Dongre, Amit Madhukar, Princy Rana, Saurabh Gupta, Amogh Ajay Malokar, S Vijaya Kumar
PDF
109

Federated reinforcement learning for energy-aware load balancing in edge-fog-cloud IoT continuum

85-96 Si Liu, Midhun Chakkaravarthy
PDF
285

Federated leveraging AI-assisted MPPT for real-time photovoltaic performance optimization using machine learning

97-106 Srinivas S, Shamala N, Yogesh T
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122

A quantitative benchmarking framework for reinforcement learning-based low-dose CT image denoising

107-117 Amit Bhupal Pattar, Thimmaraju S N
PDF
353

Enhancing operational and infrastructure integration in shared mobility

118-127 Madhuri Vikas Mane, Deepak Kumar, Kamal Agarwal
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118

Apache Hadoop for large-scale data processing using machine learning techniques

128-138 Nidaa Ghalib Ali , Mohanaed Ajmi Falih, Ali Ajmi Falih
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116

From algorithms to intelligence: exploring the fusion of AI and computer science for emerging technological solutions

139-149 Smitha Rajagopal, Smita Nirkhi, Bharati S Pochal, Shilpa B Kodli, Megha Rani Raigonda, Swaroopa Shastri
PDF
102

A data-driven multivariable framework for operational regime identification, product transition detection, and anomaly detection in industrial pumping systems using SCADA data

150-163 Johnatan Corrales-Bonilla, William Hidalgo-Osorio, Christian Corrales-Otáñez, Francisco Viteri-Tapia
PDF
362

A federated learning approach for predicting AI capability synergy effects in manufacturing mergers and acquisitions: engineering collaboration and economic value creation

164-174 Tengfei Fan, Minghao Huang
PDF
65

Multiplier leadership optimization algorithm (MLOA) for high-resolution images in approximate DWT-based compression systems

175-191 R. Anitha, Sri Adibhatla Sridevi
PDF
94

Imbalance-resistant multiclass attack classification in real-time IoT water networks using SMOTE-enhanced random forests

192-205 Anita Anand, Shivangi Surati
PDF
280

Future technologies for climate adaptation: AI-based modeling, ICT systems, and engineering solutions within India’s governance framework

206-213 Madupoju Srudeepthi, P. Srinivasa Chary, Jitha P Nair, Sivaramkumar P, Taduri Suneetha, Deepti Dubey, Abraham. S
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166

Optimization of wind turbine blade designs using computational fluid dynamics and structural analysis: a review

214-223 Sudheer Choudari, Surender Kumar Yadav, Jaishree Chauhan, Phaneender Aedla, Pasupula Kalidass Anjani, Rajendra Kumar Ganiya, Md. Abdul Raheem Junaidi, Saurabh Sanjay Joshi
PDF
169

Cross-domain aspect-based sentiment analysis using DeBERTaV3 and bio-CRF: a syntactic-aware span extraction approach

224-239 Udayalaxmi Aditya Teki, P. Ranjana
PDF
131

Impact of AI on triple bottom line performance and economic sustainability in megaprojects: a systematic review and conceptual framework

240-251 Zilu Ni, Yamunah Vaicondam, Malarvilly Ramayah
PDF
162

A unified mathematical and computational framework for predictive analysis of complex dynamic systems

252-262 Pradeep Kumar H S, Harsha S
PDF
48

Predicting silver economy demand during population aging transition via federated learning-based multi-platform behavioral data collaboration

263-275 Qing He, Mustazar Mansur, Hazrul Izuan Bin Shahiri
PDF
42

Securing national connectivity infrastructure through identity resilience: implications for zero trust–aligned telecom security

276-286 Shiva Kumara, Maunik Shah
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55

Geospatial-based AHP approach for rainwater harvesting sites in semi-arid areas: a case study of Wadi Abu Ghraibat

287-294 Hisham M. Jawad Al Sharaa, Nadia Aziz, Israa Hatem
PDF
42

Green cement production technology for reducing GHG emissions from the industrial sector of Kazakhstan

295-308 Ayagoz Khamzina, Teginbolat Samuratov, Ruslan Omirgaliyev, Anuar Aldongarov, Nurkhat Zhakiyev
PDF
45

Transfer learning in neural networks: leveraging pre-trained models for improved performance

309-318 Abdul Sttar Ismail Wdaa , Iraq Ali Hussein, Ali Azeez Ahmed
PDF
116

An explainable AI-based workforce intelligence framework for integrating future skill demand and employee attrition prediction with risk-aware decision analytics

319-330 Prathap D L, Thimmaraju S N
PDF
99

Dynamic graph neural networks meet causal inference: estimating AI’s heterogeneous effects on supply chain resilience

331-343 Yang Liu, Jiaming Yang, Jian Chen
PDF
33

Assessment of solar energy potential and climatic effects on utility-scale photovoltaic power generation in The Gambia

344-358 Youssef Kassem, Hüseyin Çamur, Ernest Sagnia
PDF
60
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