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

This paper derives a novel direct model predictive based power controller (DMPPC) for renewable energy systems (RES) to address voltage fluctuations caused by varying power demands and renewable source outputs. This method utilizes the bi-directional DC-DC converter in the Battery Energy Storage (BES) System to level the renewable energy output, al...

By P. Sai Sampath Kumar, P. Suresh, D. Lenine

Inclusive education aims to provide all children, irrespective of their capabilities, with equal opportunities to learn and participate meaningfully. For students who have speech and hearing disabilities, conventional classrooms often act as communication barriers which inhibit their participation and academic advancement. This study focuses on the...

By Akbarbek Allashev, Muyassar Akhmedova, Diyora Karimova, Shakhnoza Khujamberdieva, Sayyora Davidova, Nasiba Bayturaeva, Manzila Khabibova, Dilfuza Abdullayeva

Preserving and interpreting historical engineering documents aids in appreciating the nature of scientific reasoning as well as technological advances. Digitization and detailed analysis are highly challenging for many of such documents which are handwritten, eroded and in delicate conditions. This paper presents research on reconstruction of histo...

By Navbakhor Iskandarova, Nargiza Burieva, Abdurahim Mannonov, Adil Kariev, Nodir Karimov, Zumrad Kasimova, Margubakhan Eshnazarova, Sadokat Abidova

Artificial Intelligence (AI) software has enormous potential to remain a versatile teaching tool that is of great interest to academicians and educators. This qualitative case study was intending to apply AI in foreign language teaching. It bridged a research gap by examining the potential applications, benefits and drawbacks of this novel method. ...

By Dhina Suresh, S Prasath, M Praneesh, K Sathishkumar, Gulnora Gulyamova, Sayanika Deka Sarma, P Dharmendra Kumar

This article introduces a cutting-edge solution, called the Hybrid AI-Driven Water Management System, to solve the critical issues of managing water resources in urban India. Most major Indian cities suffer from an increase in demand for water, poorly managed pipe networks, and an excessive amount of water being wasted due to leaks and other outdat...

By Sanjay Kumar, Sapna Bawankar

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

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

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