IJAMSR - INTERNATIONAL JOURNAL OF ADVANCED MULTIDISCIPLINARY SCIENTIFIC RESEARCH

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IJAMSR associated with CrossRef DOI, IJAMSR DOI: https://doi.org/10.31426/ijamsr and Index Copernicus International ( ICI)
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Call for Papers Jan-2025

Paper Submission: 25-Jan-2025

Publication: 31-Jan-2025

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Past Issues

Digital Learning Tools Enhancing Educational Outcomes

Dr. Dharmesh Srivastava, Dr. Ranjana Srivastav

CrossRef DOI : 10.31426/ijamsr.2024.7.1.7011

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.1.7011

Download PDF Google Search Abstract

The advent of digital learning tools has revolutionized the educational landscape, introducing profound changes in the delivery and experience of education. This paper examines how these tools ranging from interactive software and online platforms to virtual reality (VR) and artificial intelligence (AI) applications enhance educational outcomes. Key areas of impact include personalized learning, student engagement and motivation, access and flexibility, collaboration and communication, interactive and immersive learning, assessment and feedback, inclusivity and accessibility, and teacher empowerment and professional development. With tailoring educational experiences to individual needs, making learning more dynamic and engaging, and supporting diverse learners and educators, digital learning tools play a crucial role in improving the quality and effectiveness of education in the digital age.

A Novel Analysis of Heart Disease Prediction Through Machine Learning Algorithms

Deepak Upadhyay, Ankit Garg

CrossRef DOI : 10.31426/ijamsr.2024.7.1.7012

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.1.7012

Download PDF Google Search Abstract

Heart disease remains the primary cause of execution globally, driving the adoption of advanced medical technologies for treatment. However, a significant challenge in medical centers is the variability in expertise among healthcare professionals, leading to suboptimal decisions and adverse outcomes. Machine learning algorithms and data mining techniques offer a solution by enabling predictive diagnosis and facilitating automated assessment in hospitals.

Shortest Path Routing Algorithms for IoT Communication Based on Graph Theory

Dr. Sushil Kumar Saini

CrossRef DOI : 10.31426/ijamsr.2022.7.1.7013

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.1.7013

Download PDF Google Search Abstract

The Internet of Things (IoT) is transforming digital connectivity, enabling seamless interactions between the physical and digital worlds through interconnected devices. With the exponential growth in IoT devices, the need for efficient, reliable data transmission has become increasingly critical, especially given the resource-constrained nature and dynamic topology of IoT environments.

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