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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) Jurnal Ilmiah HUBUNGAN INTERNASIONAL
Amit Mishra
Faculty of Social Sciences, Central University of Tibetan Studies, Sarnath, Varanasi , U.P., India
Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Library & Information Science

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Growth of Democratisation in Latin America Along Socialist Lines Mishra, Amit
Jurnal Ilmiah HUBUNGAN INTERNASIONAL Vol 8, No 2 (2012)
Publisher : Jurnal Ilmiah HUBUNGAN INTERNASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (199.448 KB)

Abstract

Latin America is a highly volatile region. After it was exposed to the rigours of colonialism, it has experienced several doses of authoritarian rule before the process of democratisation gained momentum in the 1980s. This article analyses the tenor and quality of democratisation along socialist lines in three countries of Latin America. The paper tries to identify the positive aspects of socialist democracies in the volatile but resource-rich region and at the same time clearly highlights the shortcomings in the socialist experiments in Brazil, Chile and Urugay. All these countries are able to achieve the social democratic goal of high rates of economic growth while at the same time ensuring social justice. In all the three cases poverty fell significantly and income inequality also decreased. However the author also highlights that these neo-leftist regimes have been often repressive towards minority voices leading to a sense of alienation among a significant section of their population.Keywords : Latin America, socialist democrazy, Brazil, Uruguay, Chile, Democratisation, poverty alleviation, minority voices, authoritarism, repression, populist
Growth of Democratisation in Latin America Along Socialist Lines Mishra, Amit
Jurnal Ilmiah Hubungan Internasional Vol 8, No 2 (2012)
Publisher : Parahyangan Center for International Studies

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (199.448 KB) | DOI: 10.26593/jihi.v8i2.543.%p

Abstract

Latin America is a highly volatile region. After it was exposed to the rigours of colonialism, it has experienced several doses of authoritarian rule before the process of democratisation gained momentum in the 1980s. This article analyses the tenor and quality of democratisation along socialist lines in three countries of Latin America. The paper tries to identify the positive aspects of socialist democracies in the volatile but resource-rich region and at the same time clearly highlights the shortcomings in the socialist experiments in Brazil, Chile and Urugay. All these countries are able to achieve the social democratic goal of high rates of economic growth while at the same time ensuring social justice. In all the three cases poverty fell significantly and income inequality also decreased. However the author also highlights that these neo-leftist regimes have been often repressive towards minority voices leading to a sense of alienation among a significant section of their population.Keywords : Latin America, socialist democrazy, Brazil, Uruguay, Chile, Democratisation, poverty alleviation, minority voices, authoritarism, repression, populist
Synaptic shield: fusion of ResNext–50 and long short-term memory for enhanaced deepfake detection Mishra, Amit; Chinchmalatpure, Prajwal; Sambare, Govinda B.; Singh, Viomesh Kumar; Pawar, Atul Gulabrao; Mirajkar, Rahul Prakash; Takalkar, Priyanka K.; Vayadande, Kuldeep
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v15.i1.pp224-235

Abstract

Recent developments in deepfakes have created much anxiety about the authenticity of any digital content and thus, calls for implementing detection mechanisms that will work accordingly. This paper uses Synaptic Shield, a innovative deep learning (DL) framework which is customized to detect alterations by deepfakes with high precision levels. It employs both convolution neural networks (CNNs) as well as modules for time feature extractions to test spatial and motion indicators from video data. High-level preprocessing pipelines in combination with confidence scoring mechanism help make Synaptic Shield adaptive toward manipulation techniques such as FaceSwap and DeepFake. The accuracy of our model surpasses other deepfake detection models with a high accuracy of 98.3%. The above results are based on exhaustive experimentation on standard datasets like FaceForensics++, DeepFake detection challenge (DFDC), and Celeb DeepFake (Celeb-DF). Synaptic Shield is shown to be the best with outstanding results that maintain a higher confidence score equivalent to its precision and reliability. Scalability in having the capacity to accommodate various manipulation techniques and levels of video quality indicates robustness in offering an effective method toward ensuring integrity in digital media. The work is an important move forward in addressing the problems created by DeepFake technologies.
Co-Authors Chinchmalatpure, Prajwal Mirajkar, Rahul Prakash Pawar, Atul Gulabrao Sambare, Govinda B. Singh, Viomesh Kumar Takalkar, Priyanka K. Vayadande, Kuldeep