• Structural, magnetic, and electrical properties in Ba-Doped BiFeO sub(3) prepared using a Sol-Gel route 

  Rajadhyax, S.D.; Dahotre, S.G.; Mondal, R.; Shinde, U.L.; Naik, P.P.; Hasolkar, S. (Physics of the Solid State. 66(7); 2024; 221-234.)

  Ba-doped bismuth ferrite with chemical composition Bi sub(1) - sub(x)Ba sub(x)FeO sub(3) (x = 0.1, 0.2, 0.3, 0.4, and 0.5) nanoparticles were synthesized by the wet chemical sol-gel method. The substitution of Ba sup(2+) ...
• Automated breast cancer diagnosis optimized with higher-order attribute-enhancing heterogeneous graph neural networks using mammogram images 

  Kulandaivelu, G.; Taluja, A.; Gawas, M.M.; Nath, R. (Biomedical Signal Processing and Control. 97; 2024; ArticleID_106659.)

  Breast cancer, a common ailment among women worldwide, is commonly discovered by the emergence of a lump in the breast. The most severe and devastating type of cancer; it is produced by the normal proliferation of cells ...
• Early Detection of Beetle Attack in Cashew Trees Using Machine Learning 

  Prabhu, Yogini Venkatraman
• Effect of Rare-earth Doping on Structural, Magnetic and Electric Properties of Transition Metal Ferrite Nanoparticles. 

  Salgaokar, Manoj D
• Dynamic nuclear polarization enhanced multiple-quantum spin counting of molecular assemblies in vitrified solutions 

  Nowotarski, M.S.; Potnuru, L.R.; Straub, J.S.; Chaklashiya, R.; Shimasaki, T.; Pahari, B.; Coffaro, H.; Jain, J.; Han, S. (Journal of Physical Chemistry Letters. 15; 2024; 7084-7094.)

  Crystallization pathways are essential to various industrial, geological, and biological processes. In nonclassical nucleation theory, prenucleation clusters (PNCs) form, aggregate, and crystallize to produce higher order ...
• CMFT+DMRG Method to Characterize Gapless Phases of Ultracold Bosons in Optical Lattices 

  Gaude, Pallavi. P.
• Sustainability Assessment of Utilizing Recycled Plastic Waste as an Alternative to Fine Aggregates in Cement Mortars and Concretes 

  Bhagat, Govind Vishnoo
• 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 ...

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