Sarang Shaikh

• PhD Student at Norwegian University of Science and Technology

Online social networks such as Twitter, Facebook, Instagram, and Reddit have transformed communications by enabling users to share their opinions and perceptions. The vast amount of user-generated content on these platforms poses significant challenges for manual analysis. Advances in artificial intelligence, particularly transformer-based models s...

This paper presents a dataset from the METICOS1 project pilot trials related to the acceptance of border control technologies. There was total five pilots held at Tallin Airport, Athens International Airport, Larnaca International Airport, Border Crossing Point Moravita Land Border, and Vienna International Airport. The dataset consists of the data...

In 2013, European border crossing points (BCPs) introduced border control technologies (BCTs) aimed at improving efficiency and security. However, these technologies face challenges in user adoption and acceptance, often due to limited traveler awareness and support at BCPs. Traditional models like the technology acceptance model (TAM) rely on stru...

Online social networks (OSNs) such as Twitter, Facebook, Instagram, and Reddit have transformed communication by enabling users to share opinions and perceptions on various topics. The vast amount of user-generated content on these platforms poses significant challenges for manual analysis. Advances in artificial intelligence, particularly transfor...

Balancing the accuracy and interpretability of predictive models has been a persistent challenge in traditional approaches. In this study, we advance this field by integrating cutting-edge artificial intelligence (AI) techniques with Explainable AI (XAI) methodologies to significantly enhance both the accuracy and interpretability of vineyard leaf...

People in the modern digital era are increasingly embracing social media platforms to express their concerns and emotions in the form of reviews or comments. While positive interactions within diverse communities can considerably enhance confidence, it is critical to recognize that negative comments can hurt people’s reputations and well-being. Cur...

In recent years, online shopping has surged in popularity, with customer reviews becoming a crucial aspect of the decision-making process. Reviews not only help potential customers make informed choices, but also provide businesses with valuable feedback and build trust. In this study, we conducted a thorough analysis of the Amazon reviews dataset,...

Pneumonia disease is a significant worldwide health problem, where accurate and timely diagnosis is crucial for effective treatment. Recently, transformer-based models have shown increasing interest in various domains including natural language processing and computer vision. In this study, we have proposed to use Swin Transformer model, a state-of...

Recently, the emerging technologies have been constantly shaping the education domain, especially the use of artificial intelligence (AI) for language learning, which has attracted significant attention. Many of the AI tools are being used for learning foreign languages, in both formal and informal ways. There are many studies that have explored th...

Red, blue, white, pink, or black spots with irregular borders and small lesions on the skin are known as skin cancer that is categorized into two types: benign and malignant. Skin cancer can lead to death in advanced stages, however, early detection can increase the chances of survival of skin cancer patients. There exist several approaches develop...

At present, emerging technologies, such as machine learning, deep learning, or various forms of artificial intelligence are penetrating different fields of education, including foreign language education (FLE). Moreover, the current young generation was born into the technological environment, and they perceive technologies as being an indispensabl...

Object recognition is the technique of specifying the location of various objects in images or videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast R-CNN, Faster R-CNN, HOG, R-FCN, SSD, SSP-net, SVM, CNN, YOLO, etc., based on the techniques of machine learning and deep learning. Although these models have been...

A huge number of cameras records scenes everywhere, generating enormous bulks of videos. Processing these huge masses of videos and detection of abnormal object activities demands adequate resources like time, manpower, and hardware storage, etc. To cope with the aforementioned challenges, our proposed model for an automatic video summarization of...

Measuring and analyzing user perceptions and behaviors in order to make user-centric decisions has been a topic of research for a long time even before the invention of social media platforms. In the past, the main approaches for measuring user perceptions were conducting surveys, interviewing experts and collecting data through questionnaires. But...

Data imbalance in datasets is a common issue where the number of instances in one or more categories far exceeds the others, so is the case with the educational domain. Collecting feedback on a course on a large scale and the lack of publicly available datasets in this domain limits models’ performance, especially for deep neural network based mode...

Smart Border Control (SBC) technologies became a hot topic in recent years when the European Union (EU) Commission announced the Smart Borders Package to improve the efficiency and security of the border crossing points (BCPs). Although, BCPs technologies have potential benefits in terms of enabling traveller' data processing, they still lead to ac...

Bloom’s taxonomy is a popular model to classify educational learning objectives into different learning levels for three domains including cognitive, affective and psycho motor. Each domain is further detailed into different levels. The cognitive domain includes knowledge, comprehension, application, analysis, synthesis and evaluation levels. In ed...

Artificial intelligence has taken its place in almost every industry individual operate in, it has become integral part of applications and systems in our surrounding. The world quality report estimates that 64% of the companies will implement Artificial Intelligence (AI) for the Software Quality Assurance (SQA) processes. It is predicted that in t...

It has been more than a year since the coronavirus (COVID-19) engulfed the whole world, disturbing the daily routine, bringing down the economies, and killing two million people across the globe at the time of writing. The pandemic brought the world together to a joint effort to find a cure and work toward developing a vaccine. Much to the anticipa...

Data imbalance is a frequently occurring problem in classification tasks where the number of samples in one category exceeds the amount in others. Quite often, the minority class data is of great importance representing concepts of interest and is often challenging to obtain in real-life scenarios and applications. Imagine a customers’ dataset for...

The increasing use of the internet enables users to share their opinion about what they like and dislike regarding products and services. For efficient decision making, there is a need to analyze these reviews. Sentiment analysis or opinion mining is commonly used to detect polarity (positive or negative) of reviews. But it does not show the aspect...

Virtual touch has opened a new dimension in the field of Human Computer Interaction (HCI). Enabled with the motion and gesture detection techniques, it allows manual interaction with virtual environments. Virtual environments are built for performing tasks which are typically achieved using hands in the real world, such as handling objects. An anal...

The increasing use of social media and information sharing has given major benefits to humanity. However, this has also given rise to a variety of challenges including the spreading and sharing of hate speech messages. Thus, to solve this emerging issue in social media sites, recent studies employed a variety of feature engineering techniques and m...

This paper explains comparison between traditional and agile software development methodologies. Due to the significant use of software development processes, in product development this discussion is quite important. For discussion, their definitions, development life cycles, critical practices, advantages, disadvantages used as evaluative paramet...

Video content is evolving enormously with the heavy usage of internet and social media websites. Proper searching and indexing of such video content is a major challenge. The existing video search potentially relies on the information provided by the user, such as video caption, description and subsequent comments on the video. In such case, if use...