The Modular Multilevel Converter (MMC) has emerged as the preferred architecture for integrating renewable energy power plants into the grid via undersea HVDC cables and HVDC overhead lines. However, to mitigate the significant power pulsations introduced by the single-phase AC–DC conversion in its arms, the MMC necessitates the use of large ...

By D. Lenine, P. Sai Sampath Kumar, B. Venkatesh Reddy, K. Jagadeesh, P. Sesi Kiran, J. Surya Kumari

Renewable energy technologies have existed since the earliest days of energy conservation and preservation, which have been critical to the development of modern energy conservation plans around the globe. Although the earliest applications of wind, water, and solar power date back to the second millennium, the development of renewable energy has t...

By Nargiza Jabborova, Nozimjon Ibrokhimov, Feruza Kilicheva, Sabohat Alimova, Sevara Begmatova, Gulshan Aliyeva, Abdulaziz Mattiyev

The EduGrowth model will maximize student success and academic achievement through a combination of individualized learning approaches, student service, and student data-based decision-making. The paper discusses the main aspects of the model and its implementation in learning institutions. It emphasizes the need to customize learning strategies ac...

By Najmitdinov Akhadkhon Khamitdkhanovich, Ibragimov Ulmas Rakhmanovich, Azizov Azizbek Sabitkhanovich, Dadajon Dadabayev Rustamovich, Abdumutalliev Abdulakhad Abdusamad ugli

The paper delves into the query of how philology and sociology intersect when it comes to studying the linguistic terrain of postcolonial countries. The paper will explore the functionality of language in the public spaces as a symbol of power, identity, and resistance in postcolonial settings, with a specific emphasis on the linguistic signs in th...

By Sirojiddin Nurmatov, Dildora Mamaraimova, Nargiza Akhmedova, Gullolahon Mehmonaliyeva, Mehrinoza Alieva, Feruza Shukurova, Sarvinoz Qodirova, Nilufar Abdullayeva

Researchers have begun coupling SAP invoicing engines with blockchain smart contracts to automate document flows and provide an audit trail that cannot be tampered with. Still, a nagging obstacle is the mismatch between the timestamps SAP assigns to events and the moments when those same events are registered on a blockchain. In an effort to quanti...

By Nagendra Harish Jamithireddy

Energy storage has been central in improving the effectiveness and sustainability of renewable energy systems. With the increased penetration of renewable energy sources like solar energy and wind energy, the intermittent nature of these sources prompts a need to consider the incorporation of highly developed storage energy technologies in order to...

By Shinki Katyayani Pandey, Mariyam Ahmed

Due to the fast adoption of digital technologies and artificial intelligence (AI), the operations of enterprises, especially in the context of supply chain management (SCM) and human resource (HR) practises, are being fundamentally reorganised by allowing data-driven decision-making, automating processes, and enhancing agility to organisational cha...

By Sureshkumar Somanathan, R. Harsha, Sherzod Khalilov, Anvar Khudoyarov, Samariddin Makhmudov, Pallapati Ravi Kumar, Rajinder Kumar

The problem of brain tumors is a range of different subtypes, which have a variety of clinical forms, and the diagnosis and treatment of tumors is a challenging task. This paper introduces a hybrid deep learning system that combines genomic profiling with MRI image analysis to provide an effective brain tumor subtyping. The framework is initiated b...

By M. Yuvaraja, S. Sureshkumar, J. Dhanasekar, Vilas Namdeo Nitnaware, M. Sowmya, D. Kumar

The rapid advancement of immersive technologies has opened new possibilities for enhancing physics education through virtual learning environments. This study presents the design, implementation, and evaluation of an AR/VR-based Simple Pendulum virtual laboratory developed using the Unity platform to support Outcome-Based Education (OBE) under the ...

By Alex Mathew, K. Martin Sagayam, J. Samson Immanuel, P. Esther Jebarani

Sentiment analysis (SA) is important in comprehending the opinions and online discussions of people in different languages, particularly in high-resource and low-resource languages. In the present paper, a new model of transfer deep learning is presented, which incorporates cross-lingual embeddings in an attempt to boost sentiment analysis in both ...

By Jayaprakash Vattikundala, M. Siva Ganga Prasad