As a dynamic sport, Cricket provides various complex shots which are extremely precise to execute and hard to classify. Shot identification or classification is based on the manual method which prone to error and time...
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Multi-objective evolutionary algorithm based on decomposition (MOEA/D) is the basis for studying the concept of multi-objective optimization problems on the basis of decomposition. MOEA/D has computational complexity ...
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The ability of medical technology to diagnose and cure illnesses more successfully has revolutionised the healthcare sector. However, there is still a gap in monitoring intravenous (IV) drip bottles in real time. Real...
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Visual cryptography (VC) designed to secure visual information such as images and text by dividing it into multiple shares. A key advantage of visual cryptography is its ability to decrypt information without the need...
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Large Language Model (LLM) agents significantly extend the capabilities of standalone LLMs, empowering them to interact with external tools (e.g., APIs, functions) and complete various tasks in a self-directed fashion...
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As fake content gets more sophisticated, there's a competition between making better fakes and better detectors. In an era where seeing is no longer believing, we must sharpen our commitment to authenticity in the...
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In the evolving landscape of digital music consumption, personalized song recommendation systems play a pivotal role in enhancing user engagement and satisfaction. This article presents an in-depth exploration and ana...
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This paper presents a meta-learning methodology for emotion detection in multimedia content. The proposed approach uses three distinct models: Siamese network, convolutional neural network (CNN), and recurrent neural ...
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Sarcasm is a form of verbal mockery, which poses a unique challenge for common people to understand, this also leads to difficulties in Natural Language Processing and sentiment analysis. This study deals with Sarcasm...
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computer-generated aesthetic patterns arewidely used as design materials in various fields. Themost common methods use fractals or dynamicalsystems as basic tools to create various patterns. Toenhance aesthetics and c...
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computer-generated aesthetic patterns arewidely used as design materials in various fields. Themost common methods use fractals or dynamicalsystems as basic tools to create various patterns. Toenhance aesthetics and controllability, some researchershave introduced symmetric layouts along with thesetools. One popular strategy employs dynamical systemscompatible with symmetries that construct functionswith the desired symmetries. However, these aretypically confined to simple planar symmetries. Theother generates symmetrical patterns under theconstraints of tilings. Although it is slightly moreflexible, it is restricted to small ranges of tilingsand lacks textural variations. Thus, we proposed anew approach for generating aesthetic patterns bysymmetrizing quasi-regular patterns using general kuniformtilings. We adopted a unified strategy toconstruct invariant mappings for k-uniform tilings thatcan eliminate texture seams across the tiling ***, we constructed three types of symmetriesassociated with the patterns: dihedral, rotational, andreflection symmetries. The proposed method can beeasily implemented using GPU shaders and is highlyefficient and suitable for complicated tiling with regularpolygons. Experiments demonstrated the advantages of our method over state-of-the-art methods in terms offlexibility in controlling the generation of patterns withvarious parameters as well as the diversity of texturesand styles.
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