Review on Using Artificial Intelligence Related Deep Learning Techniques in Gaming and Recent Networks

Tabassum, Mujahid; Perumal, S. Maruthu; Afrouzi, Hadi Nabipour; Kashem, Saad Bin Abdul; Hassan, Waqar

doi:10.1201/9781003231530-4

Cited by 3 publications

(2 citation statements)

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“…With the increasing availability of smart devices, character animation is becoming more prominent in the mobile domain [1][2]. Firms leverage characters with established brand value for marketing, enhancing their appeal [3][4].…”

Section: Introductionmentioning

confidence: 99%

A Scalable Vector Graphics Warping System for Anthropomorphizing Game Characters

Lee,

Choi,

et al. 2024

IEEE Access

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How can scalable vector graphics (SVG) data of human faces be transformed to resemble specific animal faces? Since the early 20 th century, multimedia featuring animals has garnered significant attention, particularly as interest in anthropomorphic animals has grown. In this paper, we survey various anthropomorphic studies. Additionally, we develop a warping system for anthropomorphizing animal characters. Our system enables the automatic generation of anthropomorphized animal characters using SVG datasets. This dataset includes frontal and side views of 60 animal species commonly featured in animations, as well as male and female human characters. Users can create new anthropomorphized animal characters using our dataset and their vector data. Our warping system implements a continuous warping technique between animal and human facial shapes in ten stages, supported by a developed algorithm and an SVG warping program. The code of the warping system and SVG dataset are available at link: https://github.com/jenero05458/SVG_warping

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Section: Introductionmentioning

confidence: 99%

A Scalable Vector Graphics Warping System for Anthropomorphizing Game Characters

Lee,

Choi,

et al. 2024

IEEE Access

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“…The best examples can be given for identifying anomalies, finding similar examples, building recommendation systems, etc. [19][20][21][22] DL, unlike traditional machine learning and data mining algorithms, can create extremely high-level data representations from vast amounts of raw data. [21] DL algorithms extract complex high-level abstractions as data representations using a hierarchical learning process, extract complex patterns from huge volumes of data, perform semantic indexing, data tagging, fast information retrieval, and simplification of discrimination tasks.…”

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confidence: 99%

Exploratory Data Analysis Possibility in the Meaning Space Using Large Language Models

Lyashkevych,

Shuvar

2024

ELIT

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Today, data analysis plays a key role in studying and using large amounts of information to make informed decisions. Thus data is one of the most valuable resources and analytical tools are becoming increasingly important. Data analysis allows us to identify patterns and relationships between different factors. As for the methods of analysis, they are very diverse and depend on the specific task and the nature of the data, each method has its advantages and limitations, and the choice of a particular one depends on the context.Recent investigations have proved that LLM showed good results in textual information analysis and might be one of the textual analytical tools. Therefore, the main focus of our research is centred around the ability of LLM to perform data interpretation operations, arithmetic and statistical operations in the meaning space. In the evaluation of the proposed concepts, simple cases were considered. It was enough to better understand the effectiveness of LLM as one of the tools for exploratory data analysis.The practical results of the research indicate that the concept has some advantages over the closest analogues, as well as identify several scientific problems that can be solved in subsequent studies. Additionally, research tools were developed as a chatbot system in the Telegram environment.

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Empowered MapReduce and Deep Trust Management for Mitigation of Void and Energy Hole in WSN-IoT

Praba¹,

Malathi²

2022

Proceedings of Third Doctoral Symposium on Computational Intelligence

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Review on Using Artificial Intelligence Related Deep Learning Techniques in Gaming and Recent Networks

Cited by 3 publications

References 0 publications

A Scalable Vector Graphics Warping System for Anthropomorphizing Game Characters

A Scalable Vector Graphics Warping System for Anthropomorphizing Game Characters

Exploratory Data Analysis Possibility in the Meaning Space Using Large Language Models

Empowered MapReduce and Deep Trust Management for Mitigation of Void and Energy Hole in WSN-IoT

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