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Journal of Artificial Intelligence & Cloud Computing (JAI&CC)

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Artificial Intelligence
  • Cloud Computing
e-ISSN :

2754-6659

Issue Frequency :

Monthly

Est. Year :

2024

Mobile :

2477180001

DOI :

YES

Country :

United Kingdom

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

jaicc@onlinescientificresearch.info

Journal Descriptions

Journal of Artificial Intelligence & Cloud Computing is an open access peer-reviewed journal from the publishers of Scientific Research and Community (SRC) which publishes articles in the form of written, video and power-point presentations from the arena of Artificial Intelligence & Cloud Computing. The journal focuses to build up accessing the complete content of articles freely from online for reader’s perusal. Article acceptance will be in the form of Research, Review, Case Reports, Analysis, Magazines, Editorials, Opinion, Communications, Mini-Review, Short Communications, Picturized, Book Review, Video Type and Power Point Presentations (PPTS). Journal of Artificial Intelligence & Cloud Computing accepts articles in all the formats from: Artificial Intelligence Tools and Applications, Multimedia and Cognitive Informatics, Neural Networks, Natural Language Processing, Pattern Recognition, Data Mining and Machine Learning Tools, Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning, Hybrid Intelligent Systems, Intelligent System Architectures, Agent-Based and Multi-Agent Systems, Big Data Capture, Representation and Analytics, Computer Networking and Internet, Cybernetics, Hardware & Architecture, Information Systems, Interdisciplinary Applications, Computer Hardware and Peripheral Device, Computer Software, Computer Storage (memory), Random Access Memory or RAM, Input/Output (I/O) Hard Disk Drives, Floppy Disk Drives and Optical Disc Drives, Computer Multitasking, Multiprocessing, Communications and Control, Circuits Systems; Integrated Circuits, Computers in Simulation, Computability Theory, Virtualization, Electronic Waste, History of Computer Hardware, Human Computer Interaction, Pervasive Computing etc..


Journal of Artificial Intelligence & Cloud Computing (JAI&CC) is :

International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Cloud Computing , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2754-6659, Established in - 2024, Impact Factor

Provide Crossref DOI

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

Publications of JAI&CC

Research Article
  • dott image November, 2023

Impact of Building Automation on Indoor Air Quality and HVAC Performance

In response to the growing emphasis on healthier indoor environments and sustainable building practices, this research delves into the intricate relationship between building automation and...

Designing Distributed Artifact Ingestion Platform for Analytics & Machine Learning

Demand for efficient large-scale heterogeneous distributed data ingestion pipelines for transforming and publishing data that is essential for advanced analytics and machine learning models,...

Leveraging Distributed Computing for Enhanced Risk Management and Compliance in Banking: A Pathway to Financial Success

This research paper provides a comprehensive exploration of the pivotal role of distributed computing in reshaping risk management and compliance in the banking sector. It delves deeper into...

Integrating AI and Distributed Computing for Advanced Dental Healthcare Management

This research paper delves into the innovative integration of artificial intelligence (AI) and distributed computing within dental healthcare management, marking a pivotal advancement in the...

Navigating the Digital Frontier: Strategies for Securing Personal and Financial Data in Mortgage Applications

The digital transformation of the mortgage industry has significantly enhanced the efficiency and accessibility of mortgage applications. However, this evolution also introduces complex chal...

Machine Learning-Powered Anomaly Detection: Enhancing Data Security and Integrity

Anomaly detection is crucial for the integrity and security of data across various industries. The advent and evolution of machine learning (ML) has significantly enhanced the capabilities o...

Beyond the Horizon: The Fusion of Data Science and Artificial Intelligence for Unprecedented Insights

This research explores the transformative synergy arising from the convergence of data science and artificial intelligence (AI), propelling the boundaries of insights to unprecedented levels...

Enhancing Digital Trust in the U.S. Mortgage Industry: A MultiDimensional Approach to Identity Assurance and Federation

This research paper explores the evolving landscape of identity assurance in the U.S. mortgage industry, focusing on the integration of federated identity management and digital authenticati...

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