Mansoor Khuhro

Sindh Madressatul Islam University · Department of Computer Science

The availability of several websites requires substantial techniques to grasp the user's attention to their website. Search Engine is vital in providing the user with relevant site pages. Popular search engines, such as Google, use web crawlers and ranking algorithms, such as PageRank Algorithm, to rank the site pages based on content quality metri...

Visual internet of things (VIoT) is a cross-modal learning task that requires a simultaneous understanding of image and question text information. The attention mechanism simulates human vision to retain the important part of the information and discard the unimportant part. However, since both important and unimportant features participate in the...

Deep learning, big data, and the internet of things (IoT) have changed the world entirely. As an embedded computer, Raspberry Pi is playing a dynamic and prominent role in the era of ubiquitous computing. In ubiquitous computing, performance and real-time throughput are still an area of focus for Raspberry Pi. Indeed, process scheduling, page swapp...

This paper proposes a novel machine learning approach to genetic variant classification based on un-supervised learning. During the past few years many lives have been lost due to genetic diseases and the inability to identify them. The genetic disorder is mainly because of the alteration in the common DNA nucleotide sequence. Benign and pathogenic...

This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173796. INTRODUCTION: In image processing noise removal is a hot research field. Lots of studies have been carried out and many algorithms and filters have been planned to improve the image information. There are various noise remo...

In these days, the usage of smart-phones and wearable sensors have increased at an exceptional rate. These smart devices are equipped with different sensors such as gyroscope, accelerometer and GPS. By using these sensors to analyze the activity of the end-user, behavioural characteristics of the user can be captured. Although smart-phone and weara...

Azure SQL and Atlas Mongodb NoSQL(Azure instance) databases are the most popular, systematic process to database solutions. Which Azure SQL database is also referred to as RDBMS (Relational Database Management Systems). The data are structured into tables or associations. The Atlas Mongodb NoSQL database is called a non-relational database manageme...

Energy-based devices made this possible to recognize the need for batteryless wearables. The batteryless wearable notion created an opportunity for continuous and ubiquitous human identification. Traditionally, securing device passwords, PINs, and fingerprints based on the accelerometer to sample the acceleration traces for identification, but the...

Nowadays, educational data mining is being employed as assessing tool for study and analysis of hidden patterns in academic databases which can be used to predict student’s academic performance. This paper implements various machine learning classification techniques on students’ academic records for results predication. For this purpose, data of M...

This review paper compares the various disk scheduling algorithms used to schedule processes in a queue, such as FCFS, SSTF, SCAN, C-SCAN, LOOK, C-LOOK, OTHDSA and Zone Base Disk Scheduling. It then applies all of these techniques using two data sets of I/O requests to assess the performance of each algorithm. The comparison includes total seek tim...

Computing and smart monitoring devices or machines are involved in every organization and sector in present era. These machines have any operating system (OS), software and applications installed based on the requirement. Due to available security vulnerabilities in OS or software and applications, these machines have more chances to become victims...

The datacenter is the core infrastructure of today's world. Every data center should have many resources and applications that are running for several decades or even more. Many failures happen in the physical datacenter in on-premises environments. In this research paper evaluating the datacenter by having the dataset provided by Premier Systems (...

IT is a field that is changing rapidly. For this reason, development in the field calls for a huge advancement of knowledge in the field. This article discusses how monolithic application design can be changed into microservices. The article details the comparison between applications of monolithic and microservice nature. This takes into considera...

Lately, there has been growing interest of users in Roman-Urdu text processing by using English language keyboard over the various social network platforms in Pakistan as well as in some other states of Indo-European. Nonetheless, one major issue in Roman-Urdu text processing is that it has no standardized lexicon, resulting one word in Urdu have d...

In this paper, Quality of Experience (QoE) is used to assess and improve Bank's customer satisfaction and provide quality of service (QoS) according to their demands. QoE based web platform was developed for the assessment of customer satisfaction. The Eclipse Neon Enterprise Edition was used for the design and development of platform and MySQL dat...

Objectives: This research presents multi-text classification from the news text dataset. The main purpose of this work is to classify multi-text for Urdu and Roman language using Natural Language processing and Machine Learning classification models. Methods/Statistical analysis: In this research, online news data has been collected through beautif...

Background/Objectives: This work mainly focuses on the role of UML Class diagram in different phases of software development cycle and shows the industry responses regarding its impact and importance. Methods/Statistical Analysis: we conducted industry survey and collected data from software practitioners. Participants were asked about their usag...

In the computer science curriculum, programming language holds a central importance as it enables the programmers to develop software more effectively. Every year, multiple programming languages are proposed, designed and implemented to keep up with the changing programming paradigms, hardware evolution, etc. The current article presents a comparat...

The procedure for frame difference is quick, however, it is not suitable in dynamic background because of the applying a fixed background image for difference operation on the object, in this paper, we found a modified Gaussian Mixture Model. The approach conventionally used the feature of the traditional median filtering to the series of frames. A...

Image denoising is one of the most significant areas within digital image processing. Such as impulse noise can appear in images during acquisition, storage, or transmission which can latterly affect stage of processing image, and may not remove properly during preserving the details of effected image. After reviewing the different techniques, in t...

Current research in computer vision increasingly continues to focus on creating systems to observe humans, understand their appearance, activities, as well as behavior. Moreover, attention is given to building sophisticated interfaces for interacting with them and constructing sensible human models for different purposes. The following discussion a...

Document similarity techniques mostly rely on single term analysis of the document in the data set. To improve the efficiency and effectiveness of the process of document similarity detection, more informative feature terms have been developed and presented by many researchers. In this paper, we present phrase weight index, which indexes documents...

In these days lot of systems have need an efficient and reliable biometrics recognition system. By considering the importance of biometric systems in global world, in this paper we are discussing the importance of a new era of verification. Applications of Biometric systems in accordance to Data fusion and what is the future of biometric systems.

Over the past decades, crowd management has attracted a great deal of attention in the area of video surveillance. Among various tasks of video surveillance analysis, crowd motion analysis is the basis of numerous subsequent applications of surveillance video. In this paper, a novel social force graph with streak flow attribute is proposed to captu...

Video event detection is a challenging problem in many applications, such as video surveillance and video content analysis. In this paper, we propose a new framework to perceive high-level codewords by analyzing temporal relationship between different channels of video features. The low-level vocabulary words are firstly generated after different a...