ISSN Online: 2583-9128 Impact Factor 2023
(Based on Google scholar citation)

i-manager's Journal on Artificial Intelligence & Machine Learning (JAIM)

Simulating Human Intelligence into Machines

About the Journal

i-manager's Journal on Artificial Intelligence & Machine Learning will bridge the academicians, researchers and entrepreneurs with the corporates focused on product development inspired by nature and with the ever growing abundance of data, computer science technologists, engineers and scientists have devised several algorithms to make the computer intelligent as humans, to draw inferences, to reveal hidden patterns, to make decisions, to visualize the data, to recognize and distinguish, to listen, to construct visual models and to control unmanned systems with decision support, etc.

Journal Particulars
Title i-manager's Journal on Artificial Intelligence & Machine Learning (JAIM)
Frequency Bi-annual
ISSN Online:2583-9128
Publisher i-manager Publications
Chief Editor Dr. Siddhartha Ghosh
SVKM’s Narsee Monjee Institute of Management Studies (NMIMS),
Hyderabad, Telangana,
Copyright i-manager Publications
Starting Year 2023
Subject Computer Science
Language English
Publication Format Online
Phone No 04652-231675
Email Id
Mobile No 8589005850
Address i-manager Publications, 3/343, Hill View, Town Railway Nagar, Nagercoil - 629001, TamilNadu.

Aims and Scope

i-manager’s Journal on Artificial Intelligence & Machine Learning aims in bringing the researches in the advancements of nature inspired and bionic algorithms, supervised and unsupervised machine learning, with applications in education, healthcare, aviation, unmanned vehicles, machine design, design and modelling, industrial automation, industrial safety, military and warfare applications, night vision and guidance, logistics, safety and security applications, disaster rescue, animation series, recommender systems in online business, personalized learning and career guidance systems, etc.

Publication Ethics and Malpractice Statement

We follow stringent publication ethics, and plagiarized papers are not published, and are withdrawn at any stage of the publishing process. Plagiarism is not limited to the Results and Discussion sections; it can involve any part of the manuscript, including figures and tables, in which material is copied from another publication without attestation, reference, or permission.

Publication Ethics & Peer Review Policy

i-manager Publications follow transparent policies right from paper submission to publication through various well defined and time tested processes.

The publisher follows a ‘No Publishing Fee’ policy.

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Review Procedure

The Journal follows a double blind peer-review process. The submitted articles / research papers are reviewed by Professors/Educators in Engineering fields.

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Overall Topics Covered

  • Cognitive Science

  • Computational Neural Networks and Artificial Neural Networks (ANN)

  • Deep Learning

  • Deep Learning and Neural Networks with Keras

  • Semantic Analysis

  • Supervised and Unsupervised Learning

  • Computer Vision

  • Natural Language Processing, Understanding and Generation (NLP, NLU & NLG)

  • Overfitting

  • Bias-Variance Trade Off

  • Classification, Clustering, Regression and Association

  • Gradient Descent Algorithm

  • Decision Trees

  • Support Vector Machines (SVM)

  • Evolutionary Algorithms and Algorithm Development for Improved AI and ML

  • Generative Adversarial Networks

  • Bioinspired Intelligence

  • Biomimetic and Evolutionary Techniques

  • Deep Learning with Biomimicry

  • Neuromorphic Computing

  • Deep Learning with TensorFlow

  • AI Initiatives and Ethical Standards