LC International Journal of STEM (ISSN: 2708-7123) <p><strong>Journal Name:</strong> LC International Journal of STEM<br /><strong>ISSN Number:</strong> <a href="" target="_blank" rel="noopener">2708-7123</a><br /><strong>Frequency:</strong> Quarterly<br /><strong>Published by:</strong> <a href="" target="_blank" rel="noopener">Logical Creations Education and Research Institute (LC-ERI)</a>.</p> <p><img src="" alt="" width="115" height="146" /></p> <p><strong>LC International Journal of STEM (LC-JSTEM)</strong>, ISSN Number: 2708-7123, is an open access journal and publish articles from all areas of science, technology, engineering, computational mathematics, technology management and education technology. The main focus of the journal is on practical research and outcomes.</p> <p>LC-JSTEM (ISSN: 2708-7123) was inaugurated on 1st January 2020. This journal is published online quarterly in the months of April, July, October and January by <a href="" target="_blank" rel="noopener">Logical Creations Education and Research Institute (LC-ERI)</a>, Quetta-Pakistan.</p> <p>LC-JSTEM (ISSN: 2708-7123) is an open access, double blind peer-reviewed journal, free for readers and we provide a supportive and accessible services for our authors throughout the publishing process. LC-JSTEM recognizes the international influences on the science, technology and engineering platforms and its development.</p> <p>LC-JSTEM (ISSN: 2708-7123) provides an open access forum for scientists, scholars, researchers and engineers to exchange their research work, technical notes and surveying results among professionals through publications.</p> <p> </p> Logical Creations Education and Research Institute en-US LC International Journal of STEM (ISSN: 2708-7123) 2708-7123 <p>This work is licensed under a <a href="" target="_blank" rel="noopener">Creative Commons Attribution 4.0 International License (CC BY 4.0)</a>.</p> A Systematic Review of Intelligent Smart Traffic Control Systems (ITCs) using Image Processing Techniques <p>Automatic number plate recognition (ANPR) is a technology to control traffic in smart cities. The ANPR technology has become very important in daily life with the addition of vehicles, traffic violations, and controlling traffic issues. This article aims to review different smart traffic control methodologies used to develop better results in the past few years. This paper presents a comprehensive review of intelligent smart traffic control systems (ITCs) using image processing techniques. We first investigate the major challenges, including the detection of number plate formats and the recognition of characters. We specifically investigate different ANPR techniques that include the acquisition, segmentation, classification, detection, and recognition of number plates. The paper determined that utilizing additional image processing techniques resulted in successful outcomes. Finally, the paper suggests potential areas for future study to improve the accuracy and correctness of image processing methods.</p> Muhammad Uzair Jatoi Copyright (c) 2023 Muhammad Uzair Jatoi 2023-04-06 2023-04-06 4 1 1 15 10.5281/zenodo.7893161 Deep Fake Detection in Social Media Forensic Taxonomy, Challenges, Future Directions <p>With the rapid growth of smartphone technology, it is now commonplace to upload &amp; download videos as part of digital social networking. More incidents are being recorded on video than ever before, so the information on them is more valuable than ever. In this paper, we give a full review of how to get information from video content &amp; find fakes. In this context, we look at different modern methods for detecting video fakes, computer vision &amp; (ML) methods like (DL). We also discuss recurring resource, legal, also technical issues, as well as the challenging of applying Deep learning for the task, such as the theory underpinning DL, CV, restricted, datasets, real-time processing, ML, employed with IoT-based devices. This survey also lists common video forensics analysis &amp; investigation products. In this survey we examine video content information extraction &amp; counterfeit detection in detail, which, as far as we know, has not been done before.</p> Muhammad Aoun Copyright (c) 2023 Muhammad Aoun 2023-04-06 2023-04-06 4 1 16 26 10.5281/zenodo.7893258 Controlling of Power and Performing Operations in Home Automation Devices <p>Different electrical devices can be automatically controlled by moving into ON and OFF state by programming the devices using google assistant and IOT. Different Components of the system use different transmission modes that are implemented through communicate user control of devices through the NodeMCU to the actual appliance The main control system implements wireless technology to allow remote access from Smart Phone. The case like Industries where several Number of devices are in ON state for long time even after the industrial task is completed which consume IoT of power. An alternate solution is Monitoring some devices OFF state and some into ON state so that the industries can perform the task by effective utilization of power. IOT is an important technology which helps to communicate one device to another device. In this paper we controlling the devices based on the LDR.</p> V. Shavali Copyright (c) 2023 V. Shavali 2023-04-06 2023-04-06 4 1 27 40 10.5281/zenodo.7977611 Improving Gender Classification Using Huge Image Database with Deep Learning-Based Model <p>Human gender classification received huge attention because of its diverse applications in various domains such as human-computer interaction (HCI) and computer-aided technology. It has previously been studied using various visual and machine learning algorithms but existing methods still face challenges for varying ages and ethnic groups. In order to meet this challenge, we take a step to improve our proposed model performance using a huge custom-built clean image database.</p> <p>In this paper, we recommend using a custom huge human face database to train the neural network-based model that can improve the gender classification accuracy of diverse ethnic groups. Thus, we prepared a huge gender image database of 200 thousand of images to enhance the performance of the proposed gender classification model. We cleaned and preprocessed the dataset to improve and speed up the model training procedure. The experimental outcome shows the highest accuracy of 95.7% with 98% confidence in the gender classification of an individual image.</p> Asma Khaliq Abdul Basit Azam Khan Naveed Sheikh Raja Asif Wagan Copyright (c) 2023 Asma Khaliq, Abdul Basit, Azam Khan, Naveed Sheikh, Raja Asif Wagan 2023-04-06 2023-04-06 4 1 41 51 10.5281/zenodo.7893313 Comparative Analysis of Text Mining Techniques for News Article Summarization <p>Text mining research paper is a scientific study that focuses on the development and application of text mining techniques for extracting valuable information from unstructured textual data. The paper discusses the challenges of working with unstructured data and the need for advanced text mining techniques to address these challenges. The paper outlines the various steps involved in the text mining process, such as data preprocessing, text representation, and feature selection. It discusses the importance of selecting appropriate algorithms for different types of text mining tasks, including text classification, clustering, sentiment analysis, and topic modeling. The paper also discusses the challenges of evaluating text mining models, including issues related to data quality, model performance, and interpretability. It highlights the importance of using appropriate evaluation metrics and techniques to ensure the reliability and validity of the results. Finally, the paper provides case studies and real-world examples of text mining applications in various domains such as healthcare, social media analysis, and financial analysis. It emphasizes the potential of text mining to provide valuable insights and knowledge that can be used to support decision-making in different industries. Overall, the paper highlights the importance of text mining as a powerful tool for analyzing unstructured textual data and provides a comprehensive overview of the key techniques and challenges in this field.</p> Muhammad Aoun Copyright (c) 2023 Muhammad Aoun 2023-04-06 2023-04-06 4 1 52 63 10.5281/zenodo.7893329