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4 articles for “Indian cuisine”
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Epicurean Echoes: Indian Cuisine's Representation of Historical and Social Diversity
Abstract: The article has been written to do a theoretical exploration of Indian cuisine as a symbolic system that reflects India's complex historical paths and its hierarchical social order. Food in India is not just for eating. It works like a language. Every dish, ingredient, and cooking method carries meaning. This paper places the cuisine as a type of text at the intersection of cultural anthropology, sociology of food, and postcolonial …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 Read article
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Evaluation of Anticancer Property of Indian Culinary for Gastric and Oral Cancer
Abstract: Herbal formulations have gained the attention of scientists worldwide over the years as potential agents of therapeutic value for a number of ailments including cancer. In India, traditionally, herbs, herbal products, culinary and dietary ingredients have been used to cure various diseases. Indian cuisine is loaded with beneficiary ingredients like dalchini, Bay leaf, and spices like laung, elaichi, kalimirch, etc. With advancements in the techniques in herbal studies, isolation and …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 1, 2023 · pp. 1–5 Read article
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Review on the Phytochemical Property and Cellular Toxicity of Ajwain
Abstract: A multitude of herbs and culinary ingredients utilized in Indian cuisine hold significant nutritional value. Among these, ajwain stands out as a widely consumed spice, particularly in India, where it is often added to curries to aid in digestion. Ajwain is obtained from the seeds of the Trachyspermum ammi plant, which is a member of the Apiaceae family. This spice possesses various medicinal properties, including its ability to address gastrointestinal …
Published in Research and Reviews: A Journal of Toxicology · Vol. 13, Issue 1, 2023 · pp. 22–25 Read article
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Deep Plate: A Deep Learning Approach to Recipe Generation from Food Images
Abstract: In the deep learning era, image understanding is advancing in sophistication, encompassing both semantic interpretation and the generation of meaningful image descriptions. To achieve this, deep neural networks must undergo specific cross-model training; these networks must be both simple enough to handle a wide range of inputs and complex enough to encode the fine contextual information associated with the image. An appropriate example of the previously described picture comprehension problem …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article