AESS Publications
+8
2223-1331
Quarterly
2226-5724
2011
1234567809
Pakistan
English
YES
Google scholar
subscriptions@aessweb.com
Journal of Asian Scientific Research (JOASR) is a distinguished open-access, peer-reviewed international journal dedicated to publishing research across multiple disciplines in science and technology. The journal prioritizes research that is scientifically rigorous and technically sound, ensuring its dissemination to the global research community. The Journal of Asian Scientific Research (JOASR) aims to advance the frontiers of knowledge in science and technology through the publication of high-quality, peer-reviewed research. We are dedicated to fostering a collaborative and inclusive research environment that bridges the gap between various scientific disciplines and their applications. Our objective is to disseminate scientifically valid and technically sound research that addresses critical challenges and opportunities in diverse fields, thereby contributing to the global scientific community and society at large.
Smart cities leverage vast amounts of data to enhance urban services, improve infrastructure, and optimize resource management. However, the collection and sharing of such data raise signifi...
In the rapidly evolving financial services landscape, investment banking middle office functions are increasingly recognized as critical enablers of operational efficiency, regulatory compli...
Learning meaningful representations without large amounts of labeled data has become a cornerstone challenge in machine learning, especially in scenarios involving multimodal data and sparse...
The growing deployment of Internet of Things (IoT) infrastructures in smart cities introduces unprecedented challenges in terms of scalability, heterogeneity, energy efficiency, and cybersec...
The growing deployment of Internet of Things (IoT) infrastructures in smart cities introduces unprecedented challenges in terms of scalability, heterogeneity, energy efficiency, and cybersec...
Cloud-based sales systems increasingly rely on predictive models to optimize customer relationship management, sales forecasting, and automated outreach. However, traditional predictive mode...
The rise of data sovereignty concerns and privacy regulations has prompted a shift toward decentralized machine learning models. Federated Learning (FL), with its promise of data locality an...
ebugging complex hardware simulation traces is a labor-intensive and error-prone process due to the intricate nature of digital circuit behavior and trace dependencies. In this ...
Soft robotics has emerged as a transformative approach in marine biology and aquatic research, offering gentle and adaptive manipulation of delicate biological specimens. This paper presents...
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