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Journal of Artificial Intelligence and Machine Learning (JAIML)

Publisher :

IAEME Publication Private Limited

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Artificial Intelligence
  • Machine Learning
  • Adaptive autonomous robots

    • +7

e-ISSN :

5979-A561

Issue Frequency :

Monthly

Impact Factor :

22.45

Est. Year :

2021

Mobile :

9884798314

DOI :

YES

Country :

India

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

iaemedu@gmail.com

Journal Descriptions

The Journal of Artificial Intelligence and Machine Learning (JAIML) is an open-access, peer-reviewed international journal published by IAEME Publication. It serves as a platform for exploring and investigating various aspects of artificial intelligence and machine learning. This journal delves into the realms of living systems intelligence, human-level cognition in artificial systems, self-learning algorithms, and intelligent autonomous robots. It also provides a forum for researchers and practitioners to access and contribute to the latest advancements in machine learning methods, tools, and algorithms. JAIML promotes research in the emerging fields of artificial life and machine learning, seeking to enhance our understanding of real-world problems through bioinspired or human-like systems. The journal welcomes submissions of concepts, theories, systems, technologies, and procedures that demonstrate properties, phenomena, or capabilities akin to those found in living systems or humans. Aim and Scope: The primary aims and scope of the Journal of Artificial Intelligence and Machine Learning (JAIML) encompass a wide range of topics and areas, including but not limited to: Adaptive Autonomous Robots: Exploring the development and application of robots capable of adapting to changing environments. Genetic Algorithms: Investigating the use of genetic algorithms for optimization and problem-solving. Agent-Based Systems and Modeling: Studying systems and models based on autonomous agents and their interactions. Genetic Programming: Examining genetic programming techniques for evolving computer programs.


Journal of Artificial Intelligence and Machine Learning (JAIML) is :

International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Machine Learning, Adaptive autonomous robots, Big data and data mining, Cognitive intelligence and modeling, Computer Vision, Human machine interaction, Swarm intelligence and swarming behaviors, Virtual Worlds, Neuro-computing , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 5979-A561, Established in - 2021, Impact Factor - 22.45

Provide Crossref DOI

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

Indexing

Scopus Profile
Google Scholar
Scopus Profile
DOI Foundation

Publications of JAIML

  • dott image November, 2021

INVESTIGATING THE ROLE OF REINFORCEMENT LEARNING IN OPTIMIZING AUTOMATED TASK PIPELINES ACROSS HETEROGENEOUS SYSTEMS

Reinforcement Learning (RL) has emerged as a powerful tool for optimizing decision-making processes in complex environments. This paper explores its application to automate and optimize task...

  • dott image April, 2021

ROBUST IMAGE PROCESSING ALGORITHM TO COUNT SAREES/T-SHIRTS PLACED IN SHELVES OF A RETAIL SHOP

This study presents a robust image processing algorithm for accurately counting sarees/T-shirts placed on retail shop shelves. The proposed algorithm employs k-means clustering for color qua...

  • dott image October, 2024

A CONTINUOUS INTEGRATION AND CONTINUOUS DEPLOYMENT FRAMEWORK FOR SAGEMAKER REAL-TIME INFERENCE

Real-time inference in a modern machine learning workflow requires robust deployment and monitoring to ensure models are delivering accurate and timely predictions. This paper elaborates on ...

  • dott image February, 2025

PREDICTING OCEAN FREIGHT RATES USING MACHINE LEARNING METHODS

Ocean freight rates (hereafter referred to as ocean rates) have seen unprecedented growth (over 150-175% increase) and volatility in recent years due to many factors, including energy prices...

  • dott image April, 2024

MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONARY AI FOR TEST TIME REDUCTION IN SEMICONDUCTOR PRODUCTION LINES

The semiconductor industry is under continuous pressure to optimize production efficiency while maintaining rigorous quality standards. One of the key challenges lies in reducing test time w...

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