Sports activities play a crucial role in preserving our health and mind. Due to the rapid growth of sports video repositories, automatized classification has become essential for easy access and retrieval, content-based recommendations, contextual advertising, etc. Traditional Bangladeshi sport is a genre of sports that bears the cultural significance of Bangladesh. Classification of this genre can act as a catalyst in reviving their lost dignity. In this paper, the Deep Learning method is utilized to classify traditional Bangladeshi sports videos by extracting both the spatial and temporal features from the videos. In this regard, a new Traditional Bangladeshi Sports Video (TBSV) dataset is constructed containing five classes: Boli Khela, Kabaddi, Lathi Khela, Kho Kho, and Nouka Baich. A key contribution of this paper is to develop a scratch model by incorporating the two most prominent deep learning algorithms: convolutional neural network (CNN) and long short term memory (LSTM). Moreover, the transfer learning approach with the fine-tuned VGG19 and LSTM is used for TBSV classification. Furthermore, the proposed model is assessed over four challenging datasets: KTH, UCF-11, UCF-101, and UCF Sports. This model outperforms some recent works on these datasets while showing 99% average accuracy on the TBSV dataset.
A series of tri-and di-organotin(IV) derivatives of the types R 3 SnL, R 2 SnL 2 and [(R 2 SnL) 2 O] 2 have been synthesized by the reaction of tri-and di-organotin(IV) chloride(s) with sodium cyclopropane carboxylate and sodium 3-cyclohexylpropanoate. Based on spectroscopic evidence (IR and NMR), all the triorganotin carboxylates were found to be penta-coordinated in the solid state (except the tricyclohexyltin derivative, which was found to be four-coordinated) and four-coordinated in the solution state. Attempted reaction of Me 2 SnCl 2 with sodium cyclopropane carboxylate in 1 : 2 stoichiometry afforded a bis(dicarboxylato tetraorganodistannoxane) complex, {[Me 2 Sn(cyclo-CH 2 ) 2 CHCOO] 2 O} 2 . The X-ray diffraction of this 'dimethyltin(IV) complex' shows that the compound possesses a tetranuclear aggregate with one bridging bidentate and other free organic ester type monodentate carboxylate groups in which each Sn atom has a five-coordinated geometry. These complexes were also screened for their antifungal activities.
Three different types of eight organotin(IV) compounds (of which four were newly synthesised) were screened against Bipolaris sorokiniana. The new compounds were characterised by elemental, IR, 1 H and 13 C NMR spectral analyses. The experiments were carried out in the field and laboratory between the months of at Uttar Banga Krishi Viswavidyalaya, Cooch Bihar, W.B., India. All of the organotin(IV) compounds were tested for the toxicity assay against Indian wheat (Triticum aestivum L.), cv. Sonalika. The spore germination and growth of B. sorokiniana and the biochemical changes associated with the induction of resistance by these chemicals were also tested. The influence of the organic groups (attached to tin atom) of the three different types of compounds studied on the fungicidal activity is remarkably distinct. Some of the compounds tested are more active in controlling the fungus than a commonly used commercial product.
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