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International Journal of Technoinformatics Engineering
Published by: Aimbell Publications
Chief Editor: DR. AMIT K. SRIVASTAV
ISSN: Applied for
Frequency: Quarterly
Current Volume: Volume – I
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Aim & Scope:
The International Journal of Technoinformatics Engineering aims to publish original research articles, review papers, and case studies that explore the integration of information technology with engineering solutions. Our scope includes, but is not limited to, topics such as artificial intelligence in engineering, big data analytics, IoT applications, cyber-physical systems, software engineering, and digital twins. We welcome submissions that demonstrate innovative approaches, highlight interdisciplinary collaborations, and offer practical implications for the engineering community. By providing a comprehensive and inclusive forum, we strive to advance the frontiers of technoinformatics engineering and support the development of transformative technologies.
Mission:
Our mission is to facilitate the dissemination of high-quality research that bridges the gap between information technology and engineering. We strive to support the development and application of advanced technoinformatics techniques that enhance the efficiency, reliability, and sustainability of engineering practices. Through our journal, we seek to contribute to the global knowledge base and drive forward technological progress across various engineering disciplines.
About the Journal:
The International Journal of Technoinformatics Engineering is a prominent, peer-reviewed publication dedicated to the advancement of technoinformatics and its applications in engineering. Our journal serves as an essential platform for researchers, academics, and industry professionals to disseminate innovative research, theoretical developments, and practical solutions in the interdisciplinary field of technoinformatics engineering. By promoting cutting-edge research, we aim to foster technological innovation and address the complex challenges in this rapidly evolving domain.
Current Issue Articles
Enhancing Dual-Purpose Child Store Performance Against Diverse Military Targets: An Innovative Novel Approach
Author: Bokade Milind Sadashirao
Military organizations, like their civilian counterparts, must adapt to future challenges and the evolving global landscape. Falling behind in technical innovation can lead to obsolescence. Hence, advocating for internal changes within the military is crucial. In this context, "Child store" refers to a cutting-edge technology or system designed to enhance dual-purpose.....
A Quantitative Study of the Circular Economy's Potential Barriers and Drivers for India's Construction Sector
Author: Ritu Pachori
The construction industry follows a linear development strategy, which is a common approach in a variety of other industries. Additionally, it could be contended that this particular industry is significantly responsible for India's disquieting history of inefficient resource utilization. The results of a quantitative study that investigated the advantages......
An Innovative Software Framework To Enhance Human-Computer Interaction
Author: Ishrat Begum, Dr. Meena Chaudhary
In the context of envisioning the future of computing, it is imperative to transcend the mere consideration of user-device interaction. A comprehensive understanding and collaborative development of technology necessitates the consideration of this perspective, as it highlights the interconnectedness between users and technology within a broader......
Emerging Technologies and Cost Estimation Models for Software Maintenance: A Comprehensive Analysis
Author: Ahamed Masih Uddin Siddiqi
The concept of software maintenance encompasses a wide range of activities necessary for the effective operation and upkeep of software, with a focus on cost performance. In the system life cycle, the maintenance stage is when a software product performs all constructive activities, including corrective maintenance like fixes and bug fixes, adaptive.......
Advances and Challenges in Enhancing Cancer Diagnosis with Green Artificial Intelligence Deep Learning Models: A Comprehensive Study
Author: Kanishk Agrawal
Cancer is characterized by the proliferation of aberrant cells originating from any organ inside the human body. Fundamentally, the proliferation of cells within these organs is reached a point of saturation. Deep learning (DL) is a subfield within the realm of machine learning and artificial intelligence that has found extensive application.......