Deep learning framework for glaucoma detection using enhanced U-Net segmentation and 2D-CNN classification​

Journal of Integrated Science and Technology Read More Keywords: item categories  Glaucoma is a major global health concern and the foremost cause of irreversible blindness, second only to cataracts in prevalence. Early diagnosis is challenging since the disease progresses slowly with minimal symptoms. Ophthalmologists typically evaluate optic nerve damage, often relying on the Disc Damage

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AC conductivity and dielectric investigations on pure and potassium doped (Na2O+3TiO2) ceramics​

Materials NanoScience Read More Keywords: item categories  Sodium oxide and titanium dioxide ceramic (Na2O+3TiO2) was synthesized by the conventional ceramic technique. Potassium doped version of the ceramic was synthesized by mixing sodium oxide and potassium oxide in the stoichiometric ratio (Na1.98O+K0.02O). Thin cylindrical pellets of the samples were characterized by ac electrical conductivity and dielectric

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Benzofurans/2,3-dihydrobenzofurans as antimicrobial agents​

Journal of Molecular Chemistry Read More Keywords: item categories  Benzofurans, a class of compounds renowned for their diverse pharmacological applications, have garnered considerable attention in recent years because of their promising antimicrobial properties. Due to rising antimicrobial resistance (AMR) to available antibiotics, a search for novel antimicrobial agents with new modes of action becomes an

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Mononuclear Bipyridyl-Iron(III) hydroxide in Metal-Organic Framework for selective Alkene Oxidation​

Journal of Molecular Chemistry Read More Keywords: item categories  The selective oxidation of styrene to value-added products such as benzaldehyde and benzoic acid is of significant industrial importance. We report the design of a single-site iron catalyst supported on a bipyridine-functionalized metal-organic framework, bpy-UiO-Fe(OH)3, which enables selective oxidation of styrene into benzaldehyde or benzoic acid

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Deep Hybrid Bi-LSTM-CNN framework for medical condition and sentiment analysis for health prediction​

Biomedical and Therapeutics Letters Read More Keywords: item categories  Section: Biomedical Technology Keywords: Medical Sentiment Analysis, LSTM, Bi-LSTM, Machine Learning, Deep Learning, Medical AI Medical and health related sentiment analysis has become a critical task in natural language processing (NLP) with applications in public health decision-making, patient opinion mining, and disease monitoring. However, challenges remain

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