This article proposes a novel flower classification method that combines enhanced VGG16 (E-VGG16) with decision fusion.

Article demonstrates a highly sensitive H₂ gas sensor using a lanthanum doped ZnO (La_ZnO) thin film operated at 300 °C. Pure and lanthanum doped (1–10 at. %) ZnO thin films were successfully synthesized using the sol-gel route.

Article exploring graph node property prediction. Originally presented as part of the application track at the 38th International Conference on Logic Programming in Haifa, Israel.

This article considers the secure computation problem in a minimal model, where Alice and Bob each holds an input and wish to securely compute a function of their inputs at Carol without revealing any additional information about the inputs. For this minimal secure computation problem, the authors propose a novel coding scheme built from two steps. First, the function to be computed is expanded such that it can be recovered while additional information might be leaked. Second, a randomization step is applied to the expanded function such that the leaked information is protected. The authors implement this expand-and-randomize coding scheme with two algebraic structures—the finite field and the modulo ring of integers, where the expansion step is realized with the addition operation and the randomization step is realized with the multiplication operation over the respective algebraic structures.

Article asserts that x-ray Microtomography is a proven tool for phase fraction analysis of multi-phase systems, provided that each phase is adequately partitioned by some means of data processing. The authors present a novel, combined methodology for accurate porosity analysis—despite these shortcomings.

Article studying the problem of incorporating corpus, ontology, and semantic predications to learn the embeddings of MeSH terms. The authors propose a novel framework, Corpus, Ontology, and Semantic predications-based MeSH term embedding (COS), to generate high-quality MeSH term embeddings.

Article utilizing active learning and support vector machine (SVM) algorithms to classify facial action units (AU) for human facial expression recognition. Experimental results show that the proposed algorithm can effectively suppress correlated noise and achieve higher recognition rates than principal component analysis and a human observer on seven different facial expressions.

Article describes how dual-phase high entropy alloys have recently attracted widespread attention as advanced structural materials due to their unique microstructure, excellent mechanical properties, and corrosion resistance. The molten salt corrosion behavior of AlCoCrFeNi2.1 eutectic high-entropy alloy was evaluated in molten NaCl-KCl-MgCl2 salt at 450° C and 650° C in comparison to conventional duplex stainless steel 2205.