Dry turning has emerged as a sustainable and environmentally conscious machining strategy due to the complete elimination of cutting fluids from the manufacturing process. However, the simultaneous optimization of machining responses such as crater wear, face wear, and surface roughness remains challenging because of t...
Tejinder Kaur, Caston Fernandes, Anitha Rani Palakayala et al.· 2026 International Conferenc...· 0 citations
The growing need for power as a result of artificial intelligence infrastructures, cloud computing, and renewable energy deployment poses several difficulties in sustaining smart grids' stability and sustainability. Predictive analysis and intelligent energy management have thus become crucial in ensuring efficient pow...
Tejinder Kaur, V. Vedanarayanan, Srinu Banothu et al.· 2026 International Conferenc...· 0 citations
A physics-retained, explainable, and uncertainty-aware multi-target machine-learning framework for simultaneous strength–ductility prediction in heat-treatable aluminum alloys and assigned the largest model attributions to Zn, Cu, and selected heat-treatment conditions, without implying causal metallurgical effects.
S. Mallidi, Tejinder Kaur, Ankita Chhikara et al.· Engineering Research Express· 0 citations
In this paper, a hybrid TransFAD system, which abides by voltage and current measurements is introduced and uses these measurements as a basis to detect and classify transmission line faults. Protection of a power system involves fast and reliable fault detection. But in the real world, the noise and transient behavior...
Tejinder Kaur, Abirami.R, Anitha Rani Palakayala et al.· 2026 International Conferenc...· 0 citations
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