The 6G wireless networks will be used in autonomous systems, extended reality, digital healthcare, and large-scale cyber-physical infrastructures, making it possible to provide applications they previously did not know to be intelligent and ultra-reliable communication. Nevertheless, 6G networks are quite complicated and heterogeneous, which are ch...

By P. Karunakaran1, Ali Bostani, Salomov Gulom, S. Shantha Kumar, V. Manimala, T. Velmurugan, R. Praveenkumar

Blind students usually are subjected to a substantial impediment of reading and accessing electronic documents, especially data that are noisy and those that are carefully designed. Traditional NLP models severely underestimate or misinterpret mathematical expressions in which symbols are represented as notation. It is a critical problem in the edu...

By J. Joice, C. Sathya

This paper outlines the design and development of a blockchain-secured pharmaceutical supply chain traceability system that uses IoT and cloud computing to overcome the major problems in pharmaceutical manufacturing, including counterfeiting, fraud, and regulatory compliance. The system consists of IoT equipment, such as RFID tags, environmental se...

By Sapna Bawankar, Roohee Khan, Sindhusaranya Balraj

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 seismic nature of the soil in urban spheres is very susceptible to seismic ground failures caused by intricate soil conditions, extensive development, and outdated construction methods. However, structural solutions have always played the most important role in seismic design; growing evidence points to the importance of geotechnical engineerin...

By Jainish Roy, Rajesh Sehgal

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

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

Women's crimes in India are a serious social issue, and new-age solutions to their detection and prevention are essential. The article introduces an analytical model using modern data and geography tools to identify and map cases of violence against women in India. It uses several different types of sources such as police reports, social media and ...

By Aby Rose Varghese, Dr. R. Gunasundari

This study looks into how artificial intelligence (AI), especially machine learning (ML), might improve workplace satisfaction and employee engagement among mid-level IT professionals in Bangalore. The report examines the strategic uses of AI in digital trust systems, employee profiling, and predictive analytics, based on a structured survey of 434...

By Amthul Naseeb, S. Ramesh Babu, Jalaja Anilkumar, Mounica Vallabhaneni, Indumathi, N. Venkatarathnam, S. Mahabub Basha

The paper will discuss the issues with industrial vision systems in detecting defects, especially in the manufacturing of tyres, where changes in exterior light and distortion will compromise the accuracy of defect detection. The suggested scheme combines Directional Convoluted Ternary Pattern (DCTP) in the extraction of texture features and Distri...

By N.P. Rajeswari, M. Vijay