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

Terrain Type Identification is an essential aspect of environmental monitoring, urban planning, and resource management. This study discusses a comparative investigation of the effectiveness of three Convolutional Neural Network (CNN) architectures Simple CNN, ResNet-50, and the Enhanced Efficient CNN Model which is Efficient Net in training with t...

By V. Sahaya Sakila, R. Sujeetha, S.V. Ramanathan, M. Adhithya Raj, B. Philip Regin

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

Cyberbullying are becoming more susceptible to online social networks because of the large-scale usergenerated content. The current methods of detection are primarily post-event methods and lack built-in prevention strategies, thereby limiting their ability to ensure the protection of user privacy and platform security. In this paper, a H...

By N. Sheba Pari, K. Senthil Kumar

This article introduces an advanced controller technique, as well as a One-Stage Boosting Power Factor Correction (OSBPFC) converter. The proposed approach is oriented towards the creation of more powerful features (PQ), more desirable stability, and adherence to fundamental principles for input interfaces. This technique, which distinguishes it fr...

By M. Devi, S. Lakshmi

The speed of the electronic healthcare system, clinical information system, and biomedical sensing technologies has resulted in the creation of extremely huge high-dimensional and heterogeneous medical data. Such data have substantial potential to automatically diagnose diseases, but are difficult to use because they are feature redundant, nonlinea...

By Komal Saxena, M. Praneesh, S. Nancy Lima Christy, K. Nandhini, Tolib Rajabov, M. Nalini, Shalu Gupta

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