In the contemporary context, non-volatile-based Resistive Random-Access Memory devices are one of the most promising and emerging technologies. It is one of the top alternatives for industrialists since they are considered to offer neuromorphic in-computing capacity. This study aims to build a 2T2R RRAM cell with reduced power dissipation compared ...

By Ancy Joy, Jinsa Kuruvilla

The study explores how Enterprise Resource Planning (ERP) systems can enhance value chain performance in the dairy manufacturing sector. The paper aims to evaluate the role of ERP-based enhancements in integrating processes, improving efficiency, and coordinating resources to create value along the value chain. The study uses an analytical research...

By Khaled Jamal Fadhel

The growing need to improve the speed and quality of communication networks currently discussed in this paper is motivated by the uncontrolled increase in the world data traffic. Although fiber optic is essentially well placed to satisfy this requirement, it has long term problems like scattering, distortion nonlinearity and oscillating noise. The ...

By Alyaa Ali Hameed, Ibrahim Khalil Sileh, Saad Mohsen Hazzaa

Within the database infrastructures of large-scale enterprises and government organizations, preserving swift and dependable disaster recovery processes continues to be particularly challenging with increasing data volumes and greater complexity in systems. This study conducts an evaluative analysis of advanced failover and backup methods, comparin...

By Harsha Vardhan Reddy Kavuluri

The detection of stroke is vital since any delay in diagnosis may lead to significant disability or the loss of life. The existing predictive models fail to capture stroke symptoms with accuracy because of low complexity, and the ability to be used in the real-time situation in the clinical setting. In the following paper, an AI-based system of ear...

By D. Ushasree, A.V. Praveen Krishna, Ch. Mallikarjuna Rao, D.V. Lalita Parameswari

Purpose: The study aims to establish the connection between green entrepreneurship variables, environmental management, green technologies, green commitment of individuals, and the environmentally sustainable workforce, and the performance of internationalization of the SME in China. It further examines the mediating position of eco-...

By Wang Jing Hui, Noor Afzainiza Afendi, Muhamad Ali Imran Bin Kamarudin

Predictive maintenance has become an important factor in improving the reliability and efficiency of industrial robots in the evolving environment of smart manufacturing. The proposed paper is a predictive maintenance framework based on AI to be implemented to multi-sensor industrial robots that will be used in a smart manufacturing setting. The po...

By Priya Vij, Ashu Nayak

The world aerospace industry is now facing an important shift from traditional metallic structures to high-tech advanced composite materials in order to meet the two-fold needs of structural optimization and environmental sustainability. This study examines the evolution of high-performance composite materials, particularly carbon fiber reinforced ...

By Ravinder Sharma, Shyam Maurya

Purpose- The main objective of the proposed paper is to create and implement a real-time wearable health monitoring system based on IoT, i.e., Oxy Sense-Wear, that will enable the constant control of the main physiological parameters, such as ECG, EMG, SpO2, body temperature, and physical activity. The system is aimed at long-term surveillance of t...

By M.N. Vimal Kumar, M. Pravin Kumar, Baskar Duraisamy, A.K. Jaithunbi, P. Samson Peter, V.M. Thejashri

Hazardous air pollutants (HAPs) can be a critical risk to the sustainability of the environment and human health, which must be addressed by highly sophisticated predictive models to eliminate risks successfully. In this study, the researcher presents a hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with the ability t...

By K. Muralisankar, G. Balaji, C. Ramkumar, M. Vasuki, S. Vijayananthan, D. Angayarkanni, Mohammed Aslam, M. Narmatha