In this paper, the problem of multi-beam sounding, and line layout is studied, and the optimal layout problem of multi-beam line layout is solved by greedy algorithm and particle swarm optimization algorithm. First of...
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Writing software requirements in the form of natural language especially Thai language is very challenging. If software engineers do not have good writing skills, this may cause the ambiguity resulting in misunderstan...
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ISBN:
(纸本)9798350381771;9798350381764
Writing software requirements in the form of natural language especially Thai language is very challenging. If software engineers do not have good writing skills, this may cause the ambiguity resulting in misunderstanding and misinterpretation during the development. To prevent this occurrence, this paper presents an NLP-based approach for detecting ambiguity of Thai software requirements. This approach influences an initiative fundamental of ambiguity detection mechanism at lexical level. The words potentially causing the ambiguity in software requirements are detected and classified into the ambiguity type. The contribution of the approach is demonstrated with the development of a prototype tool, Software Requirement Ambiguity Detector (SRAD). The validation and evaluation results with real software requirements from the various system domains with the practical expert perspective confirm the benefits of the proposed approach and developed tool. In the future, our tool and model will be integrated to our redesigned approach for writing Thai software requirements specification.
This study evaluates the performance of six prominent Large Language Models (LLMs) on graduate entrance exam multiple-choice mathematics questions in computerscience, computerengineering, and information technology ...
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We are interesting in methods for predicting the time that a customer must wait at this arrival in multi-skilled call centers. We propose a free-parameters delay history predictor that can be used in multi-s...
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This research focuses on generating image captions using Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) models. As deep learning advances, the availability of large datasets and increased comput...
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The current deep learning-based multi-view stereo point cloud reconstruction method has been found to have low reconstruction accuracy for target boundary contours. This paper proposes a high-precision and high-comple...
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To optimize the path planning of a six-degree-of-freedom robotic arm in complex environments, this paper proposes a multi-objective optimization method that integrates the gradient projection method and the RRT∗ algor...
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Through computer vision and image processing techniques, a set of images from a scene can be reconstructed in 3D to recover a 3D model of the scene, in which dense reconstruction is a crucial part, and most existing a...
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The Polar-Adjusted Convolutional (PAC) codes, improve the error correction ability of the polar code by concatenating convolutional transformation and polar transformation. For the traditional stack decoding algorithm...
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In the big data technology nowadays, activities associated with multi-Label Classification (MLC) pose big and complex challenges, receiving terrific interest in diverse fields. Existing MLC algorithms suffer from low ...
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