most citedFuzzy Inference System for Test Case Prioritization in Software Testing

1 citations · 1 across the 7 of their papers we have counts for

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7 papers

cs.CV2024

Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks

Ayan Igali, Pakizar Shamoi

Nowadays, deep learning models are increasingly required to be both interpretable and highly accurate. We present an approach that integrates Kolmogorov-Arnold Network (KAN) classi…

cs.HC2024

Fuzzy Logic Approach For Visual Analysis Of Websites With K-means Clustering-based Color Extraction

Tamiris Abildayeva, Pakizar Shamoi

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 co…

cs.SE20241 cited

Fuzzy Inference System for Test Case Prioritization in Software Testing

Aron Karatayev, Anna Ogorodova, Pakizar Shamoi

In the realm of software development, testing is crucial for ensuring software quality and adherence to requirements. However, it can be time-consuming and resource-intensive, espe…

cs.AI2024

Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems

Adilet Yerkin, Elnara Kadyrgali, Yerdauit Torekhan +1

Watching movies is one of the social activities typically done in groups. Emotion is the most vital factor that affects movie viewers' preferences. So, the emotional aspect of the…

cs.CV2024

Image-Based Dietary Assessment: A Healthy Eating Plate Estimation System

Assylzhan Izbassar, Pakizar Shamoi

The nutritional quality of diets has significantly deteriorated over the past two to three decades, a decline often underestimated by the people. This deterioration, coupled with a…

cs.AI2024

Aesthetic Preference Prediction in Interior Design: Fuzzy Approach

Ayana Adilova, Pakizar Shamoi

Interior design is all about creating spaces that look and feel good. However, the subjective nature of aesthetic preferences presents a significant challenge in defining and quant…