SCIREA Journal of Information Science and Systems Science (ISSN: 2995-3936)
SCIREA Journal of Information Science and Systems Science is an
international, scientific peer-reviewed open access journal
published online by SCIREA.
Open Access free for readers, with article processing charges (APC)paid by authors or their
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Abstract:This paper firstly presents knowledge representations of generalized syllogisms, and then uses relevant facts and reasoning rules to conduct knowledge reasoning on the basis of the generalized syllogism MMI-3 with the quantifier ‘most’. The main conclusion is that there are at least the other 25 valid generalized syllogisms
Abstract:Aristotelian modal syllogisms characterize the semantic and reasoning properties of Aristotelian quantifiers and modalities. In order to give a consistent explanation for Aristotelian modal syllogisms, this paper reveals the reduction between modal syllogisms on the basis of generalized quantifier theory, set theory, first-
Abstract:We consider repairable parallel system that consists of m identical units. At any moment of time, a unit can be in one of the two states: either operational or failed. Suppose, the number n of repair facilities is restricted (n?m), so failed units can form a queue for recovering. Assuming that the distributions of the time
Abstract:This paper firstly formalizes Aristotelian modal syllogisms from the perspective of knowledge representation, and then uses modal logic and generalized quantifier theory to prove the validity of the Aristotelian modal syllogism □AE◇E-4. Finally, making much of some rules and facts in first-order logic and the definitions of
Abstract:By analyzing the structural performance characteristics of a heavy-duty gearbox, based on the modular design thinking and the requirements of the actual maintenance training application, the virtual prototype of a heavy-duty gearbox, such as the construction of three-dimensional model, collision detection, 3d observation, d
Abstract:Due to the ever-increasing incidence of diabetes, effective screening strategies are needed for early diagnosis and intervention. This study proposes a novel approach that harnesses the power of artificial intelligence (AI) to predict diabetes risk. Using machine learning techniques and a database with demographic, clinical
Abstract:This study investigates the physicochemical properties, fatty acid composition, and antioxidant potential of cold-pressed Nigella Sativa oil enriched with thymoquinone. The raw black cumin seeds used in the study exhibited a moisture content of 3.25±0.28%, an oil content of 37.53±0.73%, a protein content of 18.71±0.48%, and
Abstract:Natural Language Processing (NLP) stands at the intersection of linguistics and artificial intelligence, aiming to facilitate meaningful interactions between computers and human languages. This paper provides a comprehensive overview of NLP, tracing its evolution from its inception to its current state-of-the-art methodolog
Abstract:We consider a multi-server G/G/n queue that operates the bi-level randomized (p, N1, N2)-policy or the N-policy. This means that as soon as there are no more customers in the system, the server will be shut down immediately. If the number of arriving customers falls to a particular low threshold value N1, the server will be
Abstract:With the accelerated use of science and technology in the arts, the interactive experiences and emotional changes constructed in digital technology are becoming more and more abundant.In this new dynamic space-time mode, the immersive installation art uses the central integrated projection equipment, combined with split-scr
