Výsledky vyhledávání

Akademický článek

Structural, spectral analysis, reactivity, topological and pharmacological investigations on an antihistamine agent

Autor: B. Amul, V. Vetrivelan, S. Sakthivel, A. Jeelani, E. Geetha

Publikováno v: Chemical Physics Impact, Vol 8, Iss , Pp 100600- (2024)

In this work, quantum computational techniques have been applied to the title compound (Methyl [2-(pyridin-3-yl) ethyl] amine) for insights into structural, vibrational, and electronic spectral features and chemical reactivity. The observed vibration

Externí odkaz: https://doaj.org/article/378f44b682cb48589151c4af4c077bc5

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Akademický článek

Molecular structure properties, quantum computational, electronic, charge analyses and biological (drug-likeness and docking) studies on anti-inflammatory drug molecule of Balsalazide

Autor: E. Devagi, L. Rajasekaran, K. Kalaimathi, P. Manikandan, A. Jeelani, Feride Akman, A. Manikandan, Saleem Javed, S. Muthu

Publikováno v: Chemical Physics Impact, Vol 8, Iss , Pp 100449- (2024)

(E)–5-([4-(2–carboxyethylcarbamoyl) phenyl] diazenyl)-2-hydroxybenzoic acid (Balsalazide) was scrutinized theoretically using quantum computational calculation. FT-IR, UV–vis., and optimized structure data were collected utilizing the DFT appro

Externí odkaz: https://doaj.org/article/8c50146ee09447858f08795a42757ebf

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Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning

Autor: Foti, Simone, Rickart, Alexander J., Koo, Bongjin, Sullivan, Eimear O', van de Lande, Lara S., Papaioannou, Athanasios, Khonsari, Roman, Stoyanov, Danail, Jeelani, N. u. Owase, Schievano, Silvia, Dunaway, David J., Clarkson, Matthew J.

The use of deep learning to undertake shape analysis of the complexities of the human head holds great promise. However, there have traditionally been a number of barriers to accurate modelling, especially when operating on both a global and local le

Externí odkaz: http://arxiv.org/abs/2309.10825

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Expanding Synthetic Real-World Degradations for Blind Video Super Resolution

Autor: Jeelani, Mehran, Sadbhawna, Cheema, Noshaba, Illgner-Fehns, Klaus, Slusallek, Philipp, Jaiswal, Sunil

Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have drastically improved over the last few years and shown impressive performance on synthetic data. However, their performance on real-world video data suffers beca

Externí odkaz: http://arxiv.org/abs/2305.02660

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