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Journal of Asian Scientific Research (JOASR)

Publisher :

AESS Publications

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Computer Science
  • Electronics & Communication
  • Robotics
  • +8

e-ISSN :

2223-1331

Issue Frequency :

Quarterly

p-ISSN :

2226-5724

Est. Year :

2011

Mobile :

1234567809

Country :

Pakistan

Language :

English

APC :

YES

Impact Factor Assignee :

Google scholar

Email :

subscriptions@aessweb.com

Journal Descriptions

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.


Journal of Asian Scientific Research (JOASR) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science, Electronics & Communication, Robotics, Biological Sciences, Health Sciences, Earth and Environmental Sciences, Physical Sciences, Engineering Sciences, Biological & Health Sciences, Physical, Earth and Environmental, Multidisciplinary , Online or Print, Quarterly Journal

UGC Approved, ISSN Approved: P-ISSN - 2226-5724, E-ISSN - 2223-1331, Established in - 2011, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus

Not indexed in WoS, DOAJ, PubMed, UGC CARE

Publications of JOASR

  • dott image Research Scholar
  • dott image December, 2024

Implementing Privacy Preserving Techniques in Data Sharing Platforms for Smart Cities

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...

  • dott image November, 2025

Data Management and Automation in Investment Banking Middle Office Through Artificial Intelligence Integration

In the rapidly evolving financial services landscape, investment banking middle office functions are increasingly recognized as critical enablers of operational efficiency, regulatory compli...

  • dott image qit press
  • dott image May, 2025

Contrastive and Generative Self-Supervised Learning for Robust Feature Extraction in Cross-Modal and Low-Label Regimes

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...

  • dott image qit press
  • dott image May, 2025

Designing Secure and Energy-Efficient Protocols for Large-Scale Heterogeneous IoT Networks in Smart Cities

The growing deployment of Internet of Things (IoT) infrastructures in smart cities introduces unprecedented challenges in terms of scalability, heterogeneity, energy efficiency, and cybersec...

  • dott image qit press
  • dott image May, 2025

Designing Secure and Energy-Efficient Protocols for Large-Scale Heterogeneous IoT Networks in Smart Cities

The growing deployment of Internet of Things (IoT) infrastructures in smart cities introduces unprecedented challenges in terms of scalability, heterogeneity, energy efficiency, and cybersec...

  • dott image SB Vinay
  • dott image May, 2025

Exploring User Interaction Patterns to Improve Predictive Modeling in Cloud-Based Sales Systems

Cloud-based sales systems increasingly rely on predictive models to optimize customer relationship management, sales forecasting, and automated outreach. However, traditional predictive mode...

  • dott image November, 2023

Assessing the Feasibility of Federated Learning Deployment in Multi-Cloud AI Ecosystems

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...

  • dott image May, 2023

Automated Debugging of Hardware Simulation Traces Using Contrastive Learning and Attention Mechanisms

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 ...

  • dott image April, 2022

Development of a Soft Robotic Gripper Using Pneumatic Networks with Integrated Force Feedback for Delicate Manipulation of Irregular Biological Specim...

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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