The feminist movements played a vibrant role in enriching women for gaining self-sufficiency, which significantly influenced society. “With the advent of new feminist theories which reflects the varicoloured making of women’s cinema as the globalised society have adverse effects on women particularly in the developing countries” (Shalini & Alamelu, 2017). The opinions and visions of the movement are expressed through several works. They are also reflected in films as feminist films. The objective of feminist films is to portray the traditional and patriarchal society in which gender inequality, women’s subjectivity, toil and subjugation are expressed in varied forms. Mozhgan Sadat Marandi expounds that, “Filmmakers have opportunities to question, however subtly, the roles and relations of women in society” (Marandi, 2011). The selected film for the present research, The Great Indian Kitchen (2021), deals with traditional and patriarchal family notions and the never-ending tasks of women’s lives in the kitchen. The role played by the protagonist is confined to the kitchen doing her homely traditional duties as her family insisted on foregoing her desire for her career. The Great Indian Kitchen (2021) is a revolutionary movie made subtly to ensure that the audience empathises with the women’s experience in their families. The objective of the present research is to analyse the movie The Great Indian Kitchen (2021) through the lens of liberal feminism.
The thyroid gland generates hormones to influence human body metabolism. A proper analysis of thyroid glands functional data is needed for Thyroid Disease (TD) diagnosis. Detecting the TD early is a crucial issue. Disparate alternatives approach was generated for it over time, but inaccurate detection of TD remains. Thus, aimed at detecting TD, the work renders an effectual dual classification framework. The framework was split into seven phases. Initially, to convert the string data into a numerical value, data numeralization is performed. After that, preprocessing is executed, which processes the missing value by means of taking the average and eliminating the repeated data. Next, so as to scale the entire data into a single unit, normalization is carried out. And the essential features are extracted, and Modified Discrete Salp Swarm Algorithm (MDSSA) Features Selection (FS) technique is developed in order to get rid of relevant features. Currently, an Improved Sign Preserving Cluster Ensemble (ISPCE) is proposed to cluster the chosen features accurately. It clusters the TD utilizing base clusters and lessens the decision graph complications, time intricacy, etc. Finally, the clustered features are inputted to Improved Raven Roosting Optimization Algorithm with Gradient Cats Boost Artificial Neural Network (IRR-GCBANN) for classifying the TD as hypothyroidism, hyperthyroidism, or normal. Experimental outcomes exhibit that the proposed framework attains 96.94% accuracy for detecting the TD when weighted against the existent techniques.
An infrastructure network is a self-organizing network with help of Access Point (AP) of wireless links connecting nodes to another. The nodes can communicate without an ad hoc. They form an uninformed topology(BSS/ESS), where the nodes play the role of routers and are free to move randomly. Infrastructure networks proved their efficiency being used in different fields but they are highly vulnerable to security attacks and dealing with this is one of the main challenges of these networks at present.In recent times some clarification are proposed to provide authentication, confidentiality, availability, secure routing and intrusion avoidance in infrastructure networks. Implementing security in such dynamically changing networks is a hard task. Infrastructure network characteristics should be taken into consideration to be clever to design efficient solutions. Here we spotlight on civilizing the flow transmission privacy in infrastructure networks based on multipath routing. Certainly, we take benefit of the being of multiple paths between nodes in an infrastructure network to increase the confidentiality robustness of transmitted data with the help of Access Point. In our approach the original message to secure is split into shares through access point that are encrypted and combined then transmitted along different disjointed existing paths between sender and receiver. Even if an intruderachieve something to get one or more transmitted distribute the likelihood that the unique message will be reconstituted is very squat.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.