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.
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4-6 weeks turnaround
Authors from 40+ countries
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International editorial board and authors
Research Impact
Growing citation visibility across disciplines
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Rigorous review by domain specialists
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Strict ethical & quality guidelines
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Browse our most-read scholarly contributions
A 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 ArticleSMS Text compression For Effective Mobile Storage Utilization Using IDBE (Intelligent Dictionary Based Encoding)
— Effective storage utilization is the key concept for better working of any operating system. Even operating systems used for mobile phones are not...
View ArticleSTRENGTH CHARACTERISTICS OF CONCRETE MADE WITH RECYCLED COARSE
Concrete is one of the most widely used construction materials in the world, mainly due to its favorable features such as durability, versatility, sat...
View ArticleREAL TIME DRIVER DROWSINESS DETECTION USING YOLOV5
Due to their diverse driving features, human drivers have different driving skills, expertise, and attitudes. In order to prevent traffic accidents, i...
View ArticleEdge detection of Grey Scale Images based on Multi-Structure Elements Morphology
Edge detection is an important pre-processing step in image analysis. Conventionally, Mathematical morphology edge detection methods use single and sy...
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