The effects of COVID’19 have been witnessed by every individual, and it has impacted everyone in a different way. Due to the pandemic, work from home (WFH) has become a policy priority for most organizations. We expect that the people will seem to be satisfied with their job while working from home, because of certain factors like productivity, motivation, reduces in expense, work family-life balance. And to understand the effect of social, behavioral, and physical factors on the well-being of office workstation users during COVID19 work from home (WFH), we conducted an online survey to capture the experience of people, [...]

Abstract: Data duplication is one of the core issues in data warehouses pertaining to the quality of data. By finding and removing duplicate data, you can decrease the amount of space needed to store your data. For smooth, efficient, and fast analysis the duplicated data needs to be filtered out before using it for further process. However, very few research has been done on data deduplication for textual data. Realizing this gap, this paper presents analysis of bloom filters to detect duplicates in textual data. The paper discusses the challenges and the need for textual data deduplication. Existing literature on [...]

Abstract: This study applies k-means and mini-batch clustering dataset for customer segmentation. Based on the analysis, various clusters were formed and validated. It was found that the results of both clustering techniques are same with an enhancement in processing speed via the use of mini-batch k-means. Customer segmentation can be used for market intelligence to identify interested clients by giving corporate entities in the retail sector pertinent and relevant facts periodically. It can be used as methods for examining customer purchase patterns and sales trends. The clustering has been applied over a dataset extracted from Kaggle. After performing the exploratory [...]

Abstract: With the growing interest in academics and industry towards research and the availability of large number of publishers, the frequency of publications is also on the rise. It is found that researchers are very careful about the selection of the related periodicals and the proceedings with good research index and well-known publishers. In this direction, this research performed a quantitative analysis of the publication by various authors in leading journals. We identified their interests/ selection of the periodicals for their research publication. For this purpose, a scrapping tool was developed, and data was scrapped for scientific publications published in [...]

Testing is a crucial process for evaluating whether a software system meets the needs of users and functions effectively in its designated environment. Sometimes, mistakes by programmers and testers or untested code can cause problems after the software is released. This can be costly to fix. The main goal of this research is to use regression testing to make sure any changes based on customer requests are reliable. We also want to prioritize important test cases to save time but still evaluate the software effectively. Additionally, the goal of this comparison is to modify, minimize and prioritize test cases in [...]

COVID-19 has affected the life of every individual and has changed the mode of working. According to the studies, the COVID-19 brought the toughest time for everyone around the world. It disturbed the regular lives of people, bringing in supply shortages in stores and hospitals, disturbing the business markets and lead to downsizing in companies. However, the COVID-19 has also resulted in the emergence of several startups. This paper analyzes the trends of startups during COVID-19 period. The paper first hypothesized that there is a growing interest towards startup during and post COVID-19 era. Then, a questionnaire was constructed to [...]

Sentiment analysis in Roman Urdu is increasingly crucial for enhancing consumer decision-making in diverse product domains. This paper addresses the challenge of extracting sentiment from product reviews written in Roman Urdu, leveraging Context-Free Grammar (CFG) to classify reviews into positive, negative, or neutral sentiments. Our study utilizes a dataset of online product reviews sourced from e-commerce platforms, focusing on the automation of sentiment classification. We propose a comprehensive methodology for sentiment extremity classification, demonstrating promising results through sentence-level analysis. This research contributes to advancing sentiment analysis in NLP, particularly in under-resourced languages like Roman Urdu, highlighting both methodological innovations and [...]

During the past few years, cybersecurity has gained a lot of prominence. In this paper, phishing attacks are discussed in detail. In a phishing attack, an attacker disguises itself as a genuine user and deceives the end-user to gains its personal information such as credit card, usernames/ passwords etc. There are a number of ways to perform phishing attacks such as via email, spear phishing, clone phishing, whaling etc. This paper talks about phishing attacks in detail along with its techniques, counter-measures and recent trends directions for research. Phishing is a significant threat to every individual, organization, and in general [...]

The challenge of predicting rainfall is undoubtedly a difficult one because there are an extensive number of different factors and elements that influence the conditions of the climate. It is of extreme significance to have accurate rainfall forecasts, particularly for the agricultural sector, which is highly reliant on timely and sufficient rainfall for the growth and yield of crops. The contribution that agriculture makes to the economy is another factor that highlights the need of accurate rainfall forecasts. There are many different ways that have been utilized all around the world in order to forecast the patterns of rainfall. These [...]

Cloud computing is the transformation of IT infrastructure into a utility which allows the users to plug-in infrastructure over the internet, and utilizes the computing resources without their installation and maintenance on-premises. It is time-consuming and a headache to manage resources on your own. Cloud computing provides shared and dedicated resources to facilitate large scale tasks or time-consuming tasks. To get the full benefit from cloud computing we need algorithms to allocate resources according to client needs and algorithms for fast access to the cloud servers. Here comes load balancing. Load balancing is a technique to distribute load among various [...]

Deep neural networks are now widely employed in artificial intelligence applications that have significantly changed human livelihoods in a number of ways. Weather forecasting has long been considered an important area of study with far-reaching consequences for disaster management and public safety. This research analyzes the use of deep learning and machine learning techniques to create a mobile application that offers users real-time weather predictions. The primary goal of this study is to look into the usefulness of machine learning and deep learning algorithms in predicting weather patterns using historical weather data Rainfall. To analyze various data sources and develop [...]

Large Language model (LLMs) has been used extensively in the past few years for natural language processing (N LP). But they have a major flaw: they often produce hallucinated results. Hallucination refers to a large language model creating coherent but unreal/ non-factual text. In other words, the model can generate consistent but wrong responses. They often lack a clear source for the information. This research examines the critical issue of hallucinations in LLMs. It focuses on ChatGPT and Gemini. To explore this, we created a dataset of Roman Urdu questions and their human-generated answers. We prompted ChatGPT and Gemini to [...]

Requirements engineering is the cornerstone of software development and a pivotal steps of the whole life cycle of software development. As much time we devote on requirement engineering, the higher the likelihood of success in later part of software development. It is right said that compelling requirements engineering steps guarantees and predicts effective software artifacts. This paper presents a study on software requirements engineering practices followed in little, medium and large-sized organizations of Pakistan. The study is directed by-polls that show how most of prerequisite designing models and practices are applied in software development in Pakistan. [...]

Data science plays an increasingly important part in modern society as a result of its quick rise to prominence across a number of industry sectors. The increased importance of this calls for a flexible and innovative approach to teaching. In order to accommodate the changing needs of data science education, this research article proposes a hybrid teaching scheme (a combination of flipped and conventional approach) that places a special focus on programming languages and tools. This study has performed a survey of 100 participants from diverse domains and inquired them about their preferred teaching methodology and the language of choice [...]

This paper investigates how fake news in Urdu language can be identified on social media content. There has been increasing usage of social media and the new is ubiquitous and spread daily over the social media. It is very difficult to identify original news from a fake news. As we all know, billions of users are using social media from all over the world and they spread all types of news. It is very difficult to identify if a news is fake or real and this poses serious concerns as the ultimate objective of the original poster may be malicious. [...]

Sentiment analysis has been a topic of intense research. This study performed sentiment analysis to explore user perception and attitude towards ChatGPT using sentiment analysis. In this study, sentiment analysis techniques are applied to two datasets. These datasets include i.e. tweets and Reddit posts. It contains references to ChatGPT within the context of education. The study aims to reveal the user’s sentiment, opinions, and comments expressed on these social media platforms regarding the use of ChatGPT in educational environments. The study adopts the following methodology. A diverse quantity of textual data is collected in real time from Twitter and [...]

Large Language model (LLMs) has been used extensively in the past few years for natural language processing (NLP). But they have a major flaw: they often produce hallucinated results. Hallucination refers to a large language model creating coherent but unreal/ non-factual text. In other words, the model can generate consistent but wrong responses. They often lack a clear source for the information. This research examines the critical issue of hallucinations in LLMs. It focuses on ChatGPT and Gemini. To explore this, we created a dataset of Roman Urdu questions and their human-generated answers. We prompted ChatGPT and Gemini to answer [...]

The usage of social networks is rising in the past few years. Most of the frequently used information is widely shared via social media networks including Facebook, Twitter, Instagram etc. Via these platforms, people can show their feelings, expressions, emotions, and opinions. These platforms provide meaningful content about users and their personality traits. Such information can be exploited to analyze the personality of the end-users. In this research, we explored a novel technique for personality modelling using Big 5 traits. We propose a comprehensive framework and machine learning pipeline that can be adopted for personality prediction. In order to solve [...]

This qualitative study investigates the relationship between cyberbullying and social withdrawal in 12–20 years teenage population. The study reviews survey data collected from students at different frequencies from own educational institutions to analyze the extent of cyberbullying, its emotional effects and leading to the behavioral changes. The results show a notable correlation between cyberbullying and social withdrawal; a large number of the surveyed teenagers reported experiencing anxiety, trust issues, and indivisibility: the preference to chat with each other online instead of meeting in person. The findings highlight the importance of systemic change and networking support in facing this growing issue. [...]