Pakizar Shamoi

• Doctor of Engineering
• Professor (Full) at Kazakh-British Technical University

In today’s world, making decisions as a group is common, whether choosing a restaurant or deciding on a holiday destination. Group decision-making (GDM) systems play a crucial role by facilitating consensus among participants with diverse preferences. Discussions are one of the main tools people use to make decisions. When people discuss alternativ...

Color is the most influential visual factor that evokes emotional responses in humans. Nowadays, we can obtain color-emotion associations using various methods, including machine learning, deep learning, and fuzzy sets. This paper aims to identify to what extent these associations can be universal. We extend our previous work on color-emotion assoc...

In today's world, making decisions as a group is common, whether choosing a restaurant or deciding on a holiday destination. Group decision-making (GDM) systems play a crucial role by facilitating consensus among participants with diverse preferences. Discussions are one of the main tools people use to make decisions. When people discuss alternativ...

Computer-mediated communication has become more important than face-to-face communication in many contexts. Tracking emotional dynamics in chat conversations can enhance communication, improve services, and support well-being in various contexts. This paper explores a hybrid approach to tracking emotional dynamics in chat conversations by combining...

The Internet has significantly affected the increase of social media users. Nowadays, informative content is presented along with entertainment on the web. Highlighting environmental issues on social networks is crucial, given their significance as major global problems. This study examines the popularity determinants for short environmental videos...

Nowadays, deep learning models are increasingly required to be both interpretable and highly accurate. We present an approach that integrates Kolmogorov-Arnold Network (KAN) classification heads and Fuzzy Pooling into convolutional neural networks (CNNs). By utilizing the interpretability of KAN and the uncertainty handling capabilities of fuzzy lo...

It's widely recognized that the colors used in branding significantly impact how a brand is perceived. This research explores the influence of color in logos on consumer perception and emotional response. We investigate the associations between color usage and emotional responses in food and beverage marketing. Using a dataset of 644 companies, we...

Websites form the foundation of the Internet, serving as platforms for disseminating information and accessing digital resources. They allow users to engage with a wide range of content and services, enhancing the Internet's utility for all. The aesthetics of a website play a crucial role in its overall effectiveness and can significantly impact us...

Color is integral to human experience, influencing emotions, decisions, and perceptions. This paper presents a comparative analysis of various color models' alignment with human visual perception. The study evaluates color models such as RGB, HSV, HSL, XYZ, CIELAB, and CIELUV to assess their effectiveness in accurately representing how humans perce...

Face recognition systems are increasingly used in biometric security for convenience and effectiveness. However, they remain vulnerable to spoofing attacks, where attackers use photos, videos, or masks to impersonate legitimate users. This research addresses these vulnerabilities by exploring the Vision Transformer (ViT) architecture, fine-tuned wi...

Social activities often done in groups include watching television or movies. Choosing a film that appeals to the emotional inclinations of a varied group can be tricky. One of the most difficult aspects of making group movie suggestions is achieving agreement among members. At the same time, emotion is the most important component that connects th...

Nowadays, the significance of monitoring stress levels and recognizing early signs of mental illness cannot be overstated. Automatic stress detection in text can proactively help manage stress and protect mental well-being. In today’s digital era, social media platforms reflect various communities’ psychological well-being and stress levels. This s...

Social media is now the predominant source of information due to the availability of immediate public response. As a result, social media data has become a valuable resource for comprehending public sentiments. Studies have shown that it can amplify ideas and influence public sentiments. This study analyzes the public perception of climate change a...

Art objects can evoke certain emotions. Color is a fundamental element of visual art and plays a significant role in how art is perceived. This paper introduces a novel approach to classifying emotions in art using Fuzzy Sets. We employ a fuzzy approach because it aligns well with human judgments’ imprecise and subjective nature. Extensive fuzzy co...

The analysis of aesthetic assessment is a complex and subjective task that has attracted researchers for a long time. The subjective nature of aesthetic preferences presents a significant challenge in defining and quantifying what makes images visually appealing. The current paper addresses this gap by introducing a novel methodology for quantifyin...

Face recognition systems are increasingly used in biometric security for convenience and effectiveness. However, they remain vulnerable to spoofing attacks, where attackers use photos, videos, or masks to impersonate legitimate users. This research addresses these vulnerabilities by exploring the Vision Transformer (ViT) architecture, fine-tuned wi...

Harmony level prediction is receiving increasing attention nowadays. Color plays a crucial role in affecting human aesthetic responses. In this paper, we explore color harmony using a fuzzy-based color model and address the question of its universality. For our experiments, we utilize a dataset containing attractive images from five domains: fashio...

Social media is now the predominant source of information due to the availability of immediate public response. As a result, social media data has become a valuable resource for comprehending public sentiments. Studies have shown that it can amplify ideas and influence public sentiments. This study analyzes the public perception of climate change a...

Art objects can evoke certain emotions. Color is a fundamental element of visual art and plays a significant role in how art is perceived. This paper introduces a novel approach to classifying emotions in art using Fuzzy Sets. We employ a fuzzy approach because it aligns well with human judgments' imprecise and subjective nature. Extensive fuzzy co...

Nowadays, the significance of monitoring stress levels and recognizing early signs of mental illness cannot be overstated. Automatic stress detection in text can proactively help manage stress and protect mental well-being. In today's digital era, social media platforms reflect the psychological well-being and stress levels within various communiti...

Computer games are widespread nowadays and enjoyed by people of all ages. But when it comes to kids, playing these games can be more than just fun, it is a way for them to develop important skills and build emotional intelligence. Facial expressions and sounds that kids produce during gameplay reflect their feelings, thoughts, and moods. In this pa...

While academic metrics such as transcripts and GPA are commonly used to evaluate students' knowledge acquisition, there is a lack of comprehensive metrics to measure their preparedness for the challenges of post-graduation life. This research paper explores the impact of various factors on university students' readiness for change and transition, w...

Nowadays, people get increasingly attached to social media to connect with other people, to study, and to work. The presented article uses Twitter posts to better understand public opinion regarding the vegan (plant-based) diet that has traditionally been portrayed negatively on social media. However, in recent years, studies on health benefits, CO...

Researchers have been investigating image features to assess objects’ aesthetic quality for many years. However, the question of context-dependency of color aesthetics remains questionable. The current paper examines the context dependency of essential variables affecting aesthetic pleasantness - color harmonies and color impressions, on the exampl...

More and more industrial applications are facing the problem of imprecise information handling. Computing with Words (CW) is a mathematical model for approximate knowledge representation, reasoning, and processing of natural language. The very basic idea of CW is to use words instead of numbers for computing and reasoning using fuzzy sets and logic...

Today CBIR (content-based image retrieval) in contrast to conventional TBIR (text-based image retrieval) has become a focusing research area in image processing due to numerous application possibilities. These applications vary from medical and security to business and SNS applications, to name a few. Color is the most widely used image characteris...

We listen to music every day and feel various emotions from different music, it brings us to the right mood and bonds us to other people and creates a shared experience. There is something special about music that influences our emotions. Depending on the situation and mental state different people may get affected diversely. However, we can extrac...

The given paper is dedicated to fuzzy queries processing on relational databases. A feature of the work is that a methodology has been developed based on the Theory of Fuzzy Sets and Logic, which allows you to make database queries that are written completely in natural language. The aim of the project is to develop an effective methodology and app...

This paper is devoted to usage of fuzzy logic in sentiment analysis of social network comments. The main feature of our work is that we aim to provide not only novel algorithm for sentiment analysis, but also to approve the correctness of our method, we implemented a prototype application on iOS platform. Our target audience is bloggers, business o...

Currently, processing data and presenting results in a human consistent manner is of great value. This paper provides some insights on application aspects of fuzzy color modeling in e-commerce apparel coordination and computational aesthetics. For that, we apply previously developed FHSI (Fuzzy HSI) color model. In FHSI, colors are modeled consider...

We are exposed to various aesthetic experiences everyday. Important variables involved in aesthetics are preference and harmony. Preference for color schemes can be predicted by combining preferences for the basic colors and ratings of color harmony. We use FHSI color model, in which color channels distributions are expressed with fuzzy membership...

Color is the most important intrinsic sensory feature that has a powerful impact on product sales. Color is even responsible for raising the aesthetic senses in our brains. Account for individual differences is crucial in color aesthetics. It requires user-driven mechanisms for various e-commerce applications. We propose a method for quantitative e...

Color is the most important intrinsic sensory feature that has a powerful impact on product sales. Color is even responsible for raising the aesthetic senses in our brains. Account for individual differences is crucial in color aesthetics. It requires user-driven mechanisms for various e-commerce applications. We propose a method for quantitative e...

Although image retrieval for e-commerce field has a huge commercial potential, e-commerce oriented content-based image retrieval is still very raw. Modern online shopping systems have certain limitations. In particular, they use conventional tag-based retrieval and lack making use of visual content. The paper presents a methodology to retrieve imag...

In this paper, we propose a novel approach toward the development of a perceptual color space, FHSI, which stands for "Fuzzy HSI," because it is based on the fuzzification of the well-known HSI color space. FHSI represents a set of fuzzy colors obtained by partitioning the gamut of feasible colors in the HSI model corresponding to standardized ling...

This paper aims to develop a methodology to retrieve images based on fuzzy dominant colors expressed through linguistic descriptions. This process involves two steps: assigning fuzzy colorimetric profile to the image and processing the user query. People regard color as an aesthetic issue, especially when it comes to choosing the colors for their c...

Human perception of colors constitutes an important part in color theory. The applications of color science are truly omnipresent, and what impression colors make on human plays a vital role in them. In this paper, we offer the novel approach for color information representation and processing using fuzzy sets and logic theory, which is extremely u...

Human perception of colors constitutes an important part in color theory. The applications of color science are truly omnipresent, and what impression colors make on human plays vital role in them. In this paper we offer the novel approach for color information representation and processing using fuzzy sets and logic theory, which is extremely usef...

Words provide a natural way of perceiving and manipulating information by humans. Based on that premise, a concept of linguistic description of phenomena arose, and emerged into a large and growing field. In this paper, we present the approach for derivation of meaningful linguistic summaries from databases. We make an emphasis on description of re...

Nowadays, oil and gas industry transforms to the new stage of development. Particularly, it is becoming more relevant to precisely determinate the cost value of oil for each particular well and take measures to improve its efficiency. This real-world problem requires the handling of imprecision. In this paper we present a novel approach to estimate...

Database queries involving imprecise or fuzzy categories are an evolving area of academic research nowadays. In this paper we propose a novel approach to process queries purely expressed in natural language and demonstrate the effectiveness of using the concepts of Computing with Words in it. Currently, the system can process natural queries of sin...

This paper highlights the simplicity and effectiveness of Computing with Words (CW) in the implementation of target selection. Direct marketing can be considered as one of the main areas of application for this methodology. In particular, fuzzy classification is applied in it with the purpose of choosing the best potential customers for a new produ...