Muhammad Anisur Rahman

Bio: Muhammad Anisur Rahman is an academic researcher. The author has contributed to research in topics: Participatory action research & Action (philosophy). The author has an hindex of 3, co-authored 3 publications receiving 766 citations.

Action and Knowledge: Breaking the Monopoly With Participatory Action Research

Abstract: Preface vii PARTI: INTRODUCTION 1. Some Basic Ingredients, Orlando Fals-Borda 3 2. The Theoretical Standpoint of PAR, Muhammad Anisur Rahman 13 3. A Self-Review of PAR, Muhammad Anisur Rahman and Orlando Fals-Borda 24 PART II: VIVENCIAS 4. Together Against the Computer: PAR and the Struggle of Afro-Colombians for Public Service, Gustavo I. de Roux 37 5. Young Laborers in Bogota: Breaking Authoritarian Ramparts, Maria Cristina Salazar 54 6. Action and Participatory Research: A Case of Peasant Organization, Vera Gianotten and Ton de Wit 64 7. Glimpses of the "Other Africa," Muhammad Anisur Rahman 84 8. People's Power in Zimbabwe, Sithembiso Nyoni 109 vi Action and Knowledge 9. Toward a Knowledge Democracy: Viewpoints on Participatory Research in North America, JohnGaventa 121 PARTm: STEPS IN PRAXIOLOGY 10. Stimulation of Self-Reliant Initiatives by Sensitized Agents: Some Lessons from Practice, S. Tilakaratna 135 11. Remaking Knowledge, Orlando Fals-Borda 146 References and Further Reading 167 About the Co-authors 181

A New Approach to Detect Deepfake Video using Multi-Input Convolutional Neural Network

Abstract: In this modern age, Deepfake videos are spreading around, having a severe impact on the social and personal lives of the general public. Efficient techniques, operating better than others, is hence in the requirement. In this research, combination of many objects like left eye, right eye and mouth shapes from image frames of videos are taken into consideration, thus achieving better accuracy than other detection techniques. In this proposal, deep learning techniques, specially the multi-input Convolution Neural Network, are executed. The proposal firstly detects the face, followed by specific objects such as left eye, right eye and mouth. Then multi-input CNN is applied that classifies the data based on eyes and mouth. After applying multi-input CNN, the accuracy increases impressively. Novel techniques are used to extract specific features like eyes, mouth. Memory storage was a concern for the proposal. Despite this, comparison with other relevant research works proved better accuracy and data analysis.

Review of community-based research: assessing partnership approaches to improve public health.

Abstract: Community-based research in public health focuses on social, structural, and physical environmental inequities through active involvement of community members, organizational representatives, and researchers in all aspects of the research process. Partners contribute their expertise to enhance understanding of a given phenomenon and to integrate the knowledge gained with action to benefit the community involved. This review provides a synthesis of key principles of community-based research, examines its place within the context of different scientific paradigms, discusses rationales for its use, and explores major challenges and facilitating factors and their implications for conducting effective community-based research aimed at improving the public’s health.

Using Community-Based Participatory Research to Address Health Disparities

Abstract: Community-based participatory research (CBPR) has emerged in the past decades as an alternative research paradigm, which integrates education and social action to improve health and reduce health disparities. More than a set of research methods, CBPR is an orientation to research that focuses on relationships between academic and community partners, with principles of colearning, mutual benefit, and long-term commitment and incorporates community theories, participation, and practices into the research efforts. As CBPR matures, tensions have become recognized that challenge the mutuality of the research relationship, including issues of power, privilege, participation, community consent, racial and/or ethnic discrimination, and the role of research in social change. This article focuses on these challenges as a dynamic and ever-changing context of the researcher-community relationship, provides examples of these paradoxes from work in tribal communities, discusses the evidence that CBPR reduces disparities, and recommends transforming the culture of academia to strengthen collaborative research relationships.

Suspending Damage: A Letter to Communities.

Abstract: In this open letter, Eve Tuck calls on communities, researchers, and educators to reconsider the long-term impact of "damage-centered" research—research that intends to document peoples' pain and brokenness to hold those in power accountable for their oppression. This kind of research operates with a flawed theory of change: it is often used to leverage reparations or resources for marginalized communities yet simultaneously reinforces and reinscribes a one-dimensional notion of these people as depleted, ruined, and hopeless. Tuck urges communities to institute a moratorium on damage-centered research to reformulate the ways research is framed and conducted and to reimagine how findings might be used by, for, and with communities.

A Participatory Inquiry Paradigm

Abstract: This article starts with a critique of Guba and Lincoln's outline of competing paradigms for research, in particular arguing that the constructivist position fails to account for experiential knowi...