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2nd International Conference on Information Science and Communication technology, ICISCT 2020

作者： Mubarak, Shomail Ahmed, Khizra Khan, Jahanzeb Khan, Muhammad Noman Ali Sir Syed University of Engineering and Technology Software Engineering Department Karachi Pakistan Computer Engineering Department Sir Syed University of Engineering and Technology Karachi Pakistan

ISBN: (纸本)9781728168999

The concept of augmented reality markerless tracking is introduced. This concept provides a flexible and practical framework and is especially relevant for video game augmented reality applications. Markerless AR has been comprised of the universal communal. Markerless augmented reality is the encounter proficiency that's now prepared for the primary time. The perception of this report is that the handler's aspect at the live appearance of the camera of their portable phone in three dimensional and the passage that they see that is the certainty is developed by assimilated three- dimensional virtual objects. Augmented reality games have the authority to outspread virtual gaming into real-world circumstances with real people, while improving the senses of the user. This paper designates the AR-zombie game established with the purpose of detected and unindustrialized mobile augmented reality submissions, precisely for gaming, using ground plane detection collaboration techniques. The objective of the AR zombie player is to kill zombies that are identified through the demonstration of the device. Instead of using indicators as a mean of tracking zombies, this game integrates a ground plane detection system, which will augment the user experience by improving the interface of performers with the real world. As the player travels around the environment, the game will show virtual zombies on the display if the detected ground plane is predictable as belonging to the class of the zombies. AR zombie was tested with users to evaluate the interaction with the real world and its types of tracks were evaluated concerning the presentation to confirm a better gaming familiarity. © 2020 IEEE.

关键词： Augmented reality

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E-commerce platform based on Machine Learning Recommendation System 6

E-commerce platform based on Machine Learning Recommendation...

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6th International Multi-Topic ICT Conference, IMTIC 2021

作者： Tahir, Muhammad Enam, Rabia Noor Mustafa, syed Muhammad Nabeel Sir Syed University of Engineering and Technology Dept. of Software Engineering Karachi Pakistan NED University of Engineering and Technology Dept. of Computer Science I.T Karachi Pakistan

ISBN: (纸本)9781665482943

Information overload is one of the potential setbacks to many e-commerce platform users. It is very important to filter the media and the choices that are overwhelming for internet users while making buying decisions using online stores. To solve this problem, recommendation systems are used widely. A recommender system helps users find a product of their own choice by filtering and prioritizing and effectively generating the relevant information to its users. The purpose of a recommender system is to save time and hassle of searching through the World Wide Web, instead it generates specific and relevant content that promotes online transaction and bring satisfaction to the users of e-commerce platforms. The proposed system is an e-commerce platform based on an apparel recommendation system that recommends products on the foundation of the user's preferences. © 2021 IEEE.

关键词： Recommender systems

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A novel approach for handling missing data to enhance network intrusion detection system

Cyber Security and Applications

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Cyber Security and Applications 2025年 3卷

作者： Tahir, Mahjabeen Abdullah, Azizol Udzir, Nur Izura Kasmiran, Khairul Azhar Department of Computer Science & Information Technology University Putra (UPM) Selangor Serdang 43400 Malaysia Department of Computer Engineering Sir Syed University of Engineering & Technology Sindh Karachi 75300 Pakistan

Managing missing data is a critical challenge in Intrusion Detection System (IDS) datasets, significantly affecting the performance of deep learning models. To address this issue, we introduce DeepLearning_Based_MissingData_Imputation (DMDI), a novel method designed to enhance the quality of input data by efficiently handling missing values. Our approach employs the Random Missing Value (RMV) algorithm to simulate missing data, enabling thorough testing and comparison of various imputation techniques. The DMDI method integrates a stacked denoising autoencoder with Gradient Boosting to improve imputation accuracy. We evaluated the effectiveness of our approach through three experimental phases: generating missing data, imputing missing values, and assessing imputation models. Using the NSL-KDD and UNSW-NB15 datasets, our results demonstrate significant improvements in the performance of five different classifiers (SVM, KNN, Logistic Regression, Decision Tree, and Random Forest) after imputation. On average, our method achieved accuracy improvements ranging from 0.95 to 0.97 across these classifiers compared to baseline imputation methods. Detailed analysis using Python 3 validates our findings, demonstrating enhanced model performance and robustness. This study underscores the necessity of precise missing data imputation for enhancing deep learning tasks, particularly in anomaly detection systems. It provides a reliable solution for managing missing data in IDS datasets. © 2024

关键词： Autoencoder Gradient Boosting Intrusion detection Machine learning Missing data Imputation Neural Networks

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CABTAB -A Factual Analysis Concerned with Travelling Issues, Specifically for An Organization 2

CABTAB -A Factual Analysis Concerned with Travelling Issues,...

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2nd International Conference on Information Science and Communication technology, ICISCT 2020

作者： syed, Abeer Javed Saba, Sara Zain-Ul-Abideen Noman, Muhammad Talib, Adnan Sir Syed University of Engineering and Technology Department of Software Engineering Karachi Pakistan

ISBN: (纸本)9781728168999

In this advanced time, innovations have been indulged deeply and has brought draconian change in one's lifestyle, adding with it the current era of technologies-network connectivity and Wi-Fi connections has raised an extensive platform which has risen to on-demand services like Ridesharing. Being inclined by the Ridesharing /Carpooling App-based services such as Easy Taxi, Metro Cab, etc. which superintends bookings by means of Request. Uber, one of the most leading competitors in the ridesharing business have grabbed a traction on the market and serving citizens effectively but the underlying contest is none of them workings contained by a distinct association. Therefore, we have portrayed the concept of ridesharing for an organization, an IOS Application version 12.3.1, XCode 9 as an IDE for the coding of the Application. For our endeavor contemplating the present database which will be administered across MySQL and Firebase for real-time that supports student/teachers to acquiesce their request and within moments unites you with the driver. Front-end devised on WordPress and Servers will be connected using PHP Web Servers. We are considering Algorithms of Careem, Uber for supervision of the ride's charge and the perception of E-Wallet has also been gathered whose set of rules will be designed. We hope to lay such a groundwork to make better appreciate that how this alternative can diminish the proportion of transit systems and upcoming augmentations may start it on Android Application with more upgradations. © 2020 IEEE.

关键词： Web services

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Safeguard Identification-Safety as an Essential Aspect 2

Safeguard Identification-Safety as an Essential Aspect

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2nd International Conference on Information Science and Communication technology, ICISCT 2020

作者： Ashar, Muhammad Usama, Muhammad Khan, Zargham Ashraf, Sitwat Agha, Dur-E-Shawar Sir Syed University of Engineering and Technology Department of Software Engineering Karachi Pakistan

ISBN: (纸本)9781728168999

As technology has brought a drastic change in the lives of human and adaptions to these technologies has risen to the peak, as we all are familiar with the concept of object detection which has brought an extraordinary ease in many of the fields of computer as well as in industry. Many of the researches are being done on it and still in process but it is not implemented for the purpose of industrial safety. Therefore, being embolden by the idea of object detection we have introduced our idea comparable to it known as 'Safeguard Identification', a model designed for safety purpose of the employees working in an industry where safety is a fundamental approach. Our model comprises of a camera which is trained for image classification and object detection from a Custom model using Tensorflow Object Detection API. For our project we have used MySql database for maintaining the data of workers. Future upgrades may lead this project by generating safety alerts on the phones of the individuals or by adding more features like detecting workers smoking in a prohibited area. © 2020 IEEE.

关键词： Object detection

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Anti Depression and Anti Suicidal Application 2

Anti Depression and Anti Suicidal Application

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2nd International Conference on Information Science and Communication technology, ICISCT 2020

作者： Mustafa, syed M. Nabeel Zaki, Hassan Alam, Shahzaib Khan, Muhammad Shahbaz Zafar, Hassaan Sir Syed University of Engineering and Technology Software Engineering Department Karachi Pakistan

ISBN: (纸本)9781728168999

Depression is the mood disorder which causes change in the thinking of the human. A depressed person starts thinking negative and overthinks about the bad events of life. Depression leads to suicide. Depression is the major reason of high suicidal rate in the world. Depression is curable. The person suffering from depression have to undergo traditional clinical therapies, which are time taking and are slow in giving the results. Anti depression and Anti Suicidal application replaces the old clinical cure of depression by giving therapies using neuro linguistic programming. Equipped with powerful feature of emotion detection using Microsoft cognitive services, Anti Depression and Anti Suicidal aims to give accurate therapies to user to help them fight the depression. © 2020 IEEE.

关键词： Linguistics

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Analytical Model for Underwater Wireless Sensor Network Energy Consumption Reduction

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Computers, Materials & Continua 2022年第7期72卷 1611-1626页

作者： Huma Hasan Rizvi Sadiq Ali Khan Rabia Noor Enam Kashif Nisar Muhammad Reazul Haque Computer Science Department UBIT Karachi UniversityKarachi75270Pakistan Sir Syed University of Engineering and Technology Karachi75300Pakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMS88400Kota KinabaluSabahMalaysia Faculty of Computing&Informatics Multimedia UniversityPersiaran Multimedia63100CyberjayaSelangorMalaysia

In an Underwater Wireless Sensor Network(UWSN),extreme energy loss is carried out by the early expiration of sensor nodes and causes a reduction in efficiency in the submerged acoustic sensor *** based on clustering strategies,instead of each node sending information by itself,utilize cluster heads to collect information inside the clusters for forwarding collective information to *** can effectively minimize the total energy loss during *** environment of UWSN is 3D architecture-based and follows a complex hierarchical clustering strategy involving its most effecting unique parameters such as propagation delay and limited transmission *** base clustering strategy works in rounds,where each round comprises three fundamental stages:cluster head selection,grouping or node association,and data aggregation followed by forwarding data to the *** UWSN,the energy consumed during the formation of clusters has been considered casually or completely evaded in the previous *** this paper,the cluster head setup period has been considered the main contributor to extra energy utilizer.A numerical channel model is proposed to compute extra *** is performed by using a UWSN broad *** results have shown that extra maximum energy consumption is approximately 12.9 percent of the system total energy consumed in information transmissions.

关键词： Analytical model submerged acoustic sensor systems energy loss round base clustering UWSN extra energy

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Numerical simulation along with the experimental work for an underdamped oscillator using fourth order Runge-Kutta method. An undergraduate experiment

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Physics Education 2023年第6期58卷 065006-065006页

作者： Khan, Kamran-Ul-Haq Masroor, Suhaib Department of Physics University of Karachi Karachi Pakistan Department of Biomedical Engineering Sir Syed University of Engineering and Technology Karachi Pakistan

Experiments based on oscillatory motion are an essential part of the curricula for students of physics and engineering in their undergraduate studies, such as the determination of spring constant for a well-known classical oscillator i.e., spring-mass system. Moreover, it is important for students to understand the physics of damped oscillators because, in real-world scenarios, a system involving oscillations cannot be completely analysed without understanding conditions of damped oscillations i.e., underdamped, overdamped, and critical damped. In this work, we design a computational physics lab for the simulation of the underdamped oscillator using an Excel spreadsheet by employing 4th order Runge-Kutta method. Further, we construct a simple experimental setup to observe the damped oscillation and obtaindata for the underdamped system. Final analysis was based on comparison between the experimental data and the numerically estimated data. © 2023 IOP Publishing Ltd.

关键词： damped oscillations Excel spreadsheet Runge-Kutta (RK) method spring-mass system

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Customer Prioritization for Medical Supply Chain During COVID-19 Pandemic

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Computers, Materials & Continua 2022年第1期70卷 59-72页

作者： Iram Mushtaq Muhammad Umer Muhammad Imran Inzamam Mashood Nasir Ghulam Muhammad Mohammad Shorfuzzaman Department of Management Sciences Sir Syed CASE Institute of Technology45230IslamabadPakistan Department of Operation&Supply Chain Management NUST Business SchoolNational University of Sciences&Technology45200IslamabadPakistan Department of Computer Science HITEC University TaxilaTaxilaPakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

During COVID-19,the escalated demand for various pharmaceutical products with the existing production capacity of pharmaceutical companies has stirred the need to prioritize its customers in order to fulfill their *** study considers a two-echelon pharmaceutical supply chain considering various pharma-distributors as its suppliers and hospitals,pharmacies,and retail stores as its *** studies have generally considered a balanced situation in terms of supply and demand whereas this study considers a special situation of COVID-19 pandemic where demand exceeds supply Various criteria have been identified from the literature that influences the selection of customers.A questionnaire has been developed to collect primary data from pharmaceutical suppliers pertaining to customerselection *** criteria have been prioritized with respect to eigenvalues obtained from Principal Component Analysis and also validated with the experts’domain-related knowledge using Analytical Hierarchy *** potential appeared to be the most important criteria of customer selection followed by trust and service convenience brand loyalty,commitment,brand awareness,brand image,sustainable behavior,and ***,Multi Criteria Decision Analysis has been performed to prioritize the customerselection criteria and customers with respect to selection *** experts with seven and three and ten years of experience have participated in the *** of the study suggest large hospitals,large pharmacies,and small retail stores are the highly preferred ***,findings of prioritization of customer-selection criteria fromboth Principal Component Analysis and Analytical Hierarchy Process are ***,this study considers the experience of three experts to calculate an aggregate score of priorities to reach an effective *** traditional supply chain problems of supplier selection,this study considers a selection

关键词： Pandemic customer prioritization pharmaceutical supply chain principal component analysis multi-criteria decision-making

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Tire Body Defect Detection: From the Perspective of Industrial Applications 7th

Tire Body Defect Detection: From the Perspective of Industri...

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7th International Conference on Life System Modeling and Simulation, LSMS 2021, and the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021

作者： Yi, Xin Peng, Chen Yang, Mingjin Masroor, Suhaib School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Biomedical Engineering Department Sir Syed University of Engineering and Technology Karachi75300 Pakistan

ISBN: (纸本)9789811672125

Radial tires have a large market share in the tire market due to their better wear resistance and puncture resistance. However, the complexity of the production process makes impurities and irregular cord spacing defects often appear in the body cord area. In this paper, a method relying on X-ray images to detect impurities and irregular cord spacing defects is proposed. The detection problems of these two types of defects are transformed into calculating cord pixel spacing and background connected domains. Firstly, the tire crown, tire ring, and tire body regions are segmented by a novel semantic segmentation network (SSN). Then the background and the cord are separated by an adaptive binarization method. Finally, the irregular cord spacing defects are detected through the refinement and column statistics. The impurities of tire body are located by the marks of the connected domains. The experimental results of the X-ray images show that this method can meet the positioning requirements of irregular shaped impurities. A idea of setting the threshold column effectively improves the detection speed of irregular cord spacing. In addition, the detection accuracy rates for both types of defects are higher than 90 %, which is helpful for further research on various types of tire defects and the design of an automatic tire defect identification system. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Semantic Segmentation

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