We are proud to be one of the few multidisciplinary research platforms that regularly publishes cutting-edge machine learning research papers alongside papers from a wide range of scientific and engineering fields at IJIRT (International Journal of Innovative Research in Technology).
Researchers, practitioners, and industry experts need machine learning journals more than ever as the need for smart systems and data-driven technology develops. IJIRT meets this demand by providing a peer-reviewed, open-access platform that encourages original work in machine learning, deep learning, neural networks, natural language processing, and other AI-related domains.
We are different because we are dedicated to publishing high-quality machine learning research that can be used in the real world, whether in healthcare, finance, cybersecurity, robots, or education. Our editing team, with the help of qualified reviewers, makes sure that every paper is thoroughly checked for originality, relevance, and clarity.
We are an interdisciplinary publication, so we want academics to look into how machine learning relates to other fields including mechanical engineering, bioinformatics, communication systems, and environmental science. This view from many fields has led to many important works that are often quoted and referenced in the academic world.
IJIRT is a well-known place for your machine learning research to reach a global audience, whether you're a Ph.D. student, an academic, or an independent researcher. Our fast-track publication process, ISSN-verified listing, and DOI allocation all assist your work get more attention and respect.
IJIRT is searching for submissions from anyone who want to publish in machine learning journals that are both credible and forward-thinking.
ISSN: 2349-6002
An UGC-Compliant International Research Journal
