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

In this work, a new optimization approach for the exploitation and smooth integration of hybrid renewable sources (HRs), including PV solar/wind turbines in addition to a dynamic reconfiguration process of electricity distribution microgrids, is proposed. A crucial novelty of this work is the definition of a multi-scenario optimization framewo...

By Ghaith M. Fadhil, Saeid Ghassem Zadeh

In the dynamic environment of the high-technology production, the supply chain and financial risks management have become more important to maintain the continuity of the operations and profitability. Although a large amount of data is available, most industries continue to struggle to use this data to optimize all risks holistically. In this paper...

By Priya Sethuraman, M. Kalaivani, K. Latha, B. Kiruthiga

The proposed research paper suggests a hybrid system to improve speed and data extraction in a large data server setup, but the focus will be on how to maximize the use of resources and provide actionable information on the unstructured data. The architecture also incorporates fragmentation-enabled virtual machine (VM) migration and high-end data s...

By G.S. Manjula, T. Meyyappan

Waste Foundry Sand (WFS) is the disposal that has been of great concern to the environment and this is as a result of high volumes generated in the process of metal casting. The building sector is developing eco-friendly alternatives to the natural aggregates in order to minimize environmental degradation and save natural resources. In this paper, ...

By John Sundarraj, Kesavan Govindaraj

Efficient document streaming requires robust preprocessing and semantic modeling to handle noise, redundancy, and morphological variations in large-scale text data. Existing stemming and document processing techniques often fail to preserve contextual relevance, leading to reduced classification and retrieval performance. In a bid to overcome this ...

By K. Ranjit Kumar, S. Thirumaran

The propagation faults are crippling the real-time streaming of content in learning environments with limited bandwidth, resulting in a small loss of packets that propagate into severe packet synchronization errors. The issue that is dealt with in this research is the preservation of continuity in streams through network conditions with throughput ...

By Ankita Sappa

The digitalization of healthcare is fast, bringing about abundant and diverse medical data with novel opportunities to bring precise healthcare with the help of artificial intelligence (AI) associated analytics. Traditional methods of data analysis in medical fields frequently do not describe nonlinear and complex relationships in multimodal clinic...

By B. Senthilkumaran, Gajraj Singh, Ali Bostani, S. Krithika, Zarina Khalbayeva, P. Nanthini

This research investigates the Magnetohydrodynamic (MHD) flow of a Sutterby hybrid nanofluid over a convectively heated stretching sheet, specifically addressing the protection of human skin from solar thermal radiation. Utilizing Buongiorno’s nanomaterial model, the study evaluates the synergy of Cadmium Selenide (CdSe) and (𝐶6𝐻11𝑁𝑂4)𝑛&minus...

By P. Asaigeethan, M. Perumalsamy, M. Gnanakumar, J. Duraikannan, R. Saravanakumar, V. Subhashini, V. Jothi Francina, N. Deepa

Advancements in technology have increased demand for systems that continuously monitor the cardiovascular system in a non-invasive, energy-efficient way. Wearable sensors, in their current form, have many drawbacks: they require external power sources and are made of rigid components. This can impact the user experience, the system, the sensor's ab...