Originally presented in previous work to capture the set of fundamental elements of the UML state machine specification, Common Declarative Language (CDL) provides a model that can aid in the validation and verificati...
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Liver cancer remains a leading cause of global mortality, driving interest in computer-aided diagnosis for liver tumor detection. Existing methods typically focus on individual lesions and avoid the impact of neighbor...
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We construct a continuous, aggregated, and dynamic model for the exploitation of gas fields. The model takes into account the depth of deposit occurrence. As a control element, the model makes use of the drilling spee...
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While state-of-the-art models for breast cancer detection leverage multi-view mammograms for enhanced diagnostic accuracy, they often focus solely on visual mammography data. However, radiologists document valuable le...
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The threat of fake news jeopardizing the credibility of online news platforms, particularly on social media, underscores the need for innovative solutions. This paper proposes a creative engine for detecting fake news...
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Legal Outcome Prediction (LOP) is the process of predicting the possible outcome of a court case based on the case file. The aim of this work is to assess the performance of four deep learning models namely BERT, Lega...
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Ökolopoly is a serious game developed by biochemist Frederic Vester with the goal to enhance understanding of interactions in complex systems. Due to its vast observation and action spaces, it presents a challeng...
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Typing using the keyboard or using a mouse is hard for small children. In this paper, we proposed an interactive system to improve the learning ability of a toddler. The proposed doodle recognition system provides an ...
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ISBN:
(数字)9783031127007
ISBN:
(纸本)9783031126994;9783031127007
Typing using the keyboard or using a mouse is hard for small children. In this paper, we proposed an interactive system to improve the learning ability of a toddler. The proposed doodle recognition system provides an attractive and efficient way to interact toddlers with computer systems by following the Human-computer Interaction guidelines and deep learning. The most common practice that toddlers develop is scribbling random images, so we decided to use this skill to provide a gateway for the toddlers to interact thus and learning with computers by using our proposed simple interface. When the toddler (user) starts to scribble or draw something on the screen, whiteboard, or paper;the application goes into input mode, and as soon as the drawing is stopped the image on the screen or whiteboard is processed by the trained CNN model and the action is carried out based on the output of the model.
The game of chess has long been used as a benchmark for testing human creativity and intelligence. With the advent of powerful chess engines, such as Stockfish and Leela Chess Zero (Lc0), endgame studies have also bec...
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ISBN:
(纸本)9783031549670;9783031549687
The game of chess has long been used as a benchmark for testing human creativity and intelligence. With the advent of powerful chess engines, such as Stockfish and Leela Chess Zero (Lc0), endgame studies have also become a tool for evaluating the capabilities of machine chess engines. In this work, we conduct a detailed study of Stockfish and Lc0, two leading chess engines with distinct methods of play, using chess endgames with varying numbers of remaining pieces. We evaluate the programs' move decision errors when using only the raw policy network as well as when using a small amount of search. We provide insights into the strengths and weaknesses of Stockfish and Lc0 in handling complex endgame positions by exploring common mistakes and identifying interesting behaviours of the engines based on the position of the opponent's last pawn remaining on the board.
Traditional tea classification methods relying on manual sensory and chemical analysis are time-consuming and inefficient. In contrast, computer vision-based tea classification offers a non-destructive and scalable al...
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