A Premier Platform for Scholarly Research
International Journal of Latest Research in Engineering and Computing (IJLREC) (IJLREC) is a double-blind peer-reviewed, open-access international journal published quarterly. We provide a forum for scientists, engineers, and innovators to disseminate impactful research findings.
Our mission is to publish high-quality theoretical, experimental, and applied studies that address contemporary scientific and engineering challenges across multidisciplinary domains.
Free for all readers
Double-blind review
4-6 weeks turnaround
Authors from 40+ countries
Global Collaboration
International editorial board and authors
Research Impact
Growing citation visibility across disciplines
Expert Reviewers
Rigorous review by domain specialists
High Standards
Strict ethical & quality guidelines
Popular Articles
Browse our most-read scholarly contributions
DETECTING BRAIN TUMOR USING
Brain tumor detection is a critical task in the medical field, as early diagnosis plays a vital role in patient survival and treatment effectiveness. ...
View ArticleEXPERIMENTAL INVESTIGATION ON MECHANICAL PROPERTIES OF BACTERIAL CONCRETE
Comparatively, bacterial-based self-healing concrete is a new technology, so before being applied on larger-scale applications, it is important to gat...
View ArticleIMPACT OF BLOCK CHAIN FOR SOCIAL MEDIA: REVIEW
Continues use of different social media platforms comes with the risk of privacy, which definitely lead the risk of losing the personal data or organi...
View ArticleA REVIEW PAPER ON CHATBOTS AND THEIR IMPLEMENTATION
Chatbots are extensively used in many applications, especially in systems that provide intelligent consumer support. Several systems use Chatbots to s...
View ArticleREVIEW PAPER ON USE OF WASTE POLYTHENE IN BITUMINOUS CONCRETE MIXES FOR
Worldwide, sustainability is the immediate demand of the hour and towards this end use of waste material in road construction is being more and more e...
View ArticleExtending Database for Hiding Sensitive Frequent Data Items
In this paper, we propose a novel, exact border-based approach that provides an optimal solution for the hiding of sensitive frequent item sets by 1) ...
View Article