• Machine learning based technique to predict the water adulterant in milk using portable near infrared spectroscopy 

  Lanjewar, M.; Parab, J.S.; Kamat, R.K. (Journal of Food Composition and Analysis. 131; 2024; ArticleID_106270.)

  Milk adulteration is a significant problem globally, as it is the most widely consumed and essential food product. Due to this, monitoring milk quality is necessary for sustaining human health. A Machine Learning (ML) based ...
• MoS sub(2) and MoS sub(2-) based nanocomposites for enhanced toluene sensing response at room temperature 

  Thayil, R.; Gopi Krishna, K.; Sudhir, C.; Kathirvelu, V.; Parne, S.R. (Surfaces and Interfaces. 46; 2024; ArticleID_104134.)

  Nanostructured materials, characterized by their unique physical and chemical attributes at the nanoscale, enable the development of advanced applications due to their distinct size-dependent phenomena and surface properties. ...
• An explainable predictive maintenance strategy for multi-fault diagnosis of rotating machines using multi-sensor data fusion 

  Gawde-Prabhudesai, S.; Patil, S.; SatishKumar; Kamat, P.; Kotecha, K. (Decision Analytics Journal. 10; 2024; ArticleID_100425.)

  Industry 4.0 denotes smart manufacturing, where rotating machines predominantly serve as the fundamental components in production sectors. The primary duty of maintenance engineers is to upkeep these vital machines, aiming ...
• Explainable predictive maintenance of rotating machines using LIME, SHAP, PDP, ICE 

  Gawde-Prabhudesai, S.; Patil, S.; SatishKumar; Kamat, P.; Kotecha, K.; Alfarhood, S. (IEEE Access. 12; 2024; 29345-29361.)

  Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical components in manufacturing industries. In the vast world of Industry 4.0, where an IoT network acts as a monitoring and ...
• Microscopic Understanding of the Antisite Disorder on Magnetic and Transport Properties in Heusler Alloys 

  Malik, Samiksha V.
• Factors influencing the martensitic transformation in Ni-Mn-Z (Z = Ga, Sn) Heusler alloys 

  Manea, N.; Welter, E.; Priolkar, K.R. (Journal of Physics D: Applied Physics. 57(14); 2024; ArticleID_145304.)

  The martensitic transition temperature of the Ni-Mn-Z (Z = Ga, In, Sn or Sb) generally scales with the average valence electron per atom (e/a) ratio. The e/a ratio can be increased either by increasing Ni content in lieu ...
• Short-Wave Infrared Emissions from Te sup(4+)-Ln sup(3+) (Ln: Er, Yb)-Codoped Cs sub(2)NaInCl sub(6) Double Perovskites 

  Arfin, H.; Rathod, R.; Shingote, A.S.; Priolkar, K.R.; Santra, P.K.; Nag, N. (Chemistry of Materials. 35(17); 2023; 7133-7143.)

  A Cs sub(2)NaInCl sub(6) double perovskite is environmentally benign, and its wide band gap (approx. 5.1 eV) makes it photoinactive and photostable in the ultraviolet, visible, and short-wave infrared (SWIR) regions. ...
• Synthesis of High Na sup(+) Ion-Conducting NASICON-based electrolytes and insights from diffraction and positron annihilation lifetime spectroscopy studies 

  Karmalkar, D.N.; Dutta, D.; Bera, A.; Seikh, M.Y.; Pahari, B. (Journal of Physical Chemistry C. 128(2); 2024; 768-777.)

  Na superionic conductor (NASICON) Na sub(3)Zr sub(2)Si sub(2)PO sub(12) is a promising but not applicable electrolyte for solid-state batteries due to its relatively low conductivity. Here, we have pursued two distinct ...
• Multispectral imaging for differential face morphing attack detection: A preliminary study 

  Ramachandra, R.; Venkatesh, S.; Damer, D.; Vetrekar, N.T.; Gad, R.S. (Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2024; 6185-6193.)

  Face morphing attack detection is emerging as an increasingly challenging problem owing to advancements in high-quality and realistic morphing attack generation. Reliable detection of morphing attacks is essential because ...
• Defect induced ferromagnetism in Mn sub(3)Ga 

  Malik, S.V.; Dias, E.T.; Babu, P.D.; Priolkar, K.R. (Journal of Physics: Condensed Matter. 36(13); 2023; ArticleID_135701.)

  Ni-substituted Mn sub(3)Ga displays a weak ferromagnetism embedded in an antiferromagnetic (AF) phase. Upon field cooling, the alloy exhibits exchange bias and an open hysteresis loop, signifying kinetic arrest at room ...

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