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Abstract:A modern Square{Q}={Q, Q, Q, Q} is composed of the quantifier Q, its inner negation Q, outer negation Q and dual negation Q. This paper focuses on studying the generalized modal syllogisms formed by modalities and the 8 quantifiers in Square{no} and Square{at most half of the}. More specifically, this paper firstly presents
Abstract:With the rapid development of mobile internet and the widespread adoption of smart devices, the importance of mobile user experience (UX) design has become increasingly prominent. However, traditional design methods demonstrate significant limitations in addressing personalization, multi-device adaptation, and real-time fee
Abstract:In the past 20 years, with the development of emerging technologies such as the Internet, cloud computing, the Internet of Things, big data and artificial intelligence, intelligence developed on the basis of informatization is in the ascendant, and the revolution of big data, pervasive computing, interconnection of everythi
Abstract:This paper first symbolizes the propositions involved in Aristotelian modal syllogisms from the perspective of mathematical structuralism, then proves the validity of the Aristotelian modal syllogism □AE◇O-2 by relevant definitions, and finally deduces the other 26 valid Aristotelian modal syllogisms from the syllogism □AE◇
Abstract:Efficient and accurate semantic segmentation of urban traffic images is critical for various applications such as autonomous driving, traffic monitoring, and urban planning. However, the complex and dynamic nature of urban scenes, occlusions, and fisheye distortions pose significant challenges for accurate semantic segmenta
Abstract:In the era of digitization, Optical Character Recognition (OCR) technology plays a pivotal role in transforming printed or handwritten text into machine-readable data. This abstract delves into the realm of text recognition, exploring the revolutionary advancements brought about by Convolutional Neural Networks (CNNs) in th
Abstract:Stock Market prediction has long been a challenging task due to its complex and dynamic nature. Time series analysis using Long Short-Term Memory(LSTM) neural network has merged as a promising approach for predicting stock prices. This research aims to investigate the effectiveness of LSTM models in predicting stock market
Abstract:On the basis of set theory, generalized quantifier theory, and modal logic, this paper mainly focuses on the knowledge mining about generalized modal syllogism with the quantifiers in Square{fewer than half of the} and Square{no}. To this end, this paper firstly proves the validity of the non-trivial syllogism
Abstract:On September 25, 2015, the United Nations (UN) saw the adoption of 17 Sustainable Development Goals (SDGs) by 193 member states at the United Nations Sustainable Development Summit. The prioritization of the 17 Sustainable Growth Goals will contribute to the quick joint action by the UN to eradicate poverty, protect our pla
Abstract:This paper uses set theory to provide knowledge representation methods for common generalized syllogisms in natural language. Then, the validity of the generalized syllogism AHH-2 with the non-trivial generalized quantifier at most half of the is proved by the truth definitions of categorical propositions, and
