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Recent advancements in remote sensing technologies, as well as high-resolution satellite images, have opened up new avenues for comprehending the earth's surfaces. However, owing to the significant unpredictability in satellite data, satellite images categorization is a difficult task. Availability of the satellite dataset is a challenging task in the field of remote sensing. To overcome this challenge a novel sentinel-2 image dataset is proposed. Two different techniques for categorizing a large-scale dataset containing various types of land-use and land-cover surfaces are proposed and compared for this goal. In this article, an enhanced version of ResNet50 has been proposed to predict the multiple classes from sentinel 2 images. Furthermore, the outcome of ResNet50 is compared with traditional (shallow) machine learning models and deep learning models to check the working efficiency of the proposed approach. The shallow approach had the best F1-score of 0.87, while the deep approach ResNet50 achieved the best F1-score of 0.924. It has been realized from the outcome that the deep learning approaches are most robust than the machine learning approach in terms of classifying the multi-label satellite images classification. [ABSTRACT FROM AUTHOR]

DFT and TD-DFT studies of o-phenylenediamine (PDA), 3,5-dinitrosalicylic acid (DNSA) and their charge transfer complex have been carried out at B3LYP/6-311G(d,p) level of theory. Molecular geometry and various other molecular properties like natural atomic charges, ionization potential, electron affinity, band gap, natural bond orbital (NBO) and frontier molecular analysis have been presented at same level of theory. Frontier molecular orbital and natural bond orbital analysis show the charge delocalization from PDA to DNSA. [ABSTRACT FROM AUTHOR]

The charge transfer (CT) complex of the 2-amino-4-hydroxy-6-methylpyrimidine and 2,3 pyrazinedicarboxylic acid (PDCA-.AHMP+) was synthesized and its single crystal was grown by solution method. The structure of the crystalline complex has been investigated by single crystal X-ray diffraction (SCXRD). The vibrational features of the complex have been studied with the help of FTIR spectra and DFT computation. The anharmonic corrections in vibrational frequencies are made using the GVPT2 method at B3LYP/6-311++G(d,p) level of theory. The frontier molecular orbitals and global chemical reactivity have been calculated to understand the pharmacological aspect of the synthesized crystal. Furthermore, Hirshfeld electrostatic potential (ESP) surface, void space in the crystal structure and natural as well as Mulliken atomic charges are studied. [ABSTRACT FROM AUTHOR]