Back to Top
Go Back
Journal Photo for Journal of Asian Scientific Research
Peer reviewed only Open Access

Journal of Asian Scientific Research (JOASR)

Publisher : AESS Publications
Computer Science Electronics & Communication Robotics
Claim Your Journal Get PRC Visit Website
e-ISSN 2223-1331
p-ISSN 2226-5724
Issue Frequency Quarterly
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 P-ISSN: 2226-5724, E-ISSN: 2223-1331, Established: 2011,
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus

  • Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of JOASR

Implementing Privacy Preserving Techniques in Data Sharing Platforms for Smart Cities
Research Scholar December, 2024
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...
Data Management and Automation in Investment Banking Middle Office Through Artificial Intelligence Integration
Researcher v November, 2025
In the rapidly evolving financial services landscape, investment banking middle office functions are increasingly recognized as critical enablers of operational efficiency, regulatory compli...
Contrastive and Generative Self-Supervised Learning for Robust Feature Extraction in Cross-Modal and Low-Label Regimes
qit press May, 2025
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...
Designing Secure and Energy-Efficient Protocols for Large-Scale Heterogeneous IoT Networks in Smart Cities
qit press May, 2025
The growing deployment of Internet of Things (IoT) infrastructures in smart cities introduces unprecedented challenges in terms of scalability, heterogeneity, energy efficiency, and cybersec...
Designing Secure and Energy-Efficient Protocols for Large-Scale Heterogeneous IoT Networks in Smart Cities
qit press May, 2025
The growing deployment of Internet of Things (IoT) infrastructures in smart cities introduces unprecedented challenges in terms of scalability, heterogeneity, energy efficiency, and cybersec...
Exploring User Interaction Patterns to Improve Predictive Modeling in Cloud-Based Sales Systems
SB Vinay May, 2025
Cloud-based sales systems increasingly rely on predictive models to optimize customer relationship management, sales forecasting, and automated outreach. However, traditional predictive mode...
Assessing the Feasibility of Federated Learning Deployment in Multi-Cloud AI Ecosystems
mj iaeme November, 2023
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...
Automated Debugging of Hardware Simulation Traces Using Contrastive Learning and Attention Mechanisms
David Wong May, 2023
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 ...
Development of a Soft Robotic Gripper Using Pneumatic Networks with Integrated Force Feedback for Delicate Manipulation of Irregular Biological Specim...
Jaheim Jshwni April, 2022
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...