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Journal articles on the topic 'Semantics of the real comparison'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Lyudmila, SHAMINA. "Verbalization of the semantics of appearance and pretense in Tuvan folklore and modern texts." Epic studies 1, no. 33 (2024): 18–26. http://dx.doi.org/10.25587/2782-4861-2024-1-18-26.

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The article examines grammaticalized comparative constructions of the Tuvan language, identified in texts of different genres. Particular attention is paid to the comparison standard marker. The purpose of the study is to identify and interpret the main means of expressing pretense and appearances in Tuvan texts, both modern and folklore. The relevance of the study is determined by the insufficient knowledge of the semantics of pretense and the increased interest in the study of the traditional and cultural characteristics of the linguistic consciousness of representatives of various ethnic gr

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Ozonova, Aiiana A., and Larisa N. Tybykova. "Comparative affix -DYy and modal-comparative markers derived from this affix (a case study of the Altai language)." Sibirskiy filologicheskiy zhurnal, no. 3 (2024): 29–46. http://dx.doi.org/10.17223/18137083/88/2.

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The paper examines the semantics and functioning of the comparative affix -DYy and modal-comparative markers derived from this affix in the Altai language. -DYy is a common marker in comparative constructions indicating a realistic comparison. Originating as a postposition, it frequently appears in various Turkic languages. In the Altai language, the status of this affix is not unambiguous, being commonly categorized as a postposition-affix, case form, or derivational morpheme. It signifies the comparative relationships of similarity between situations or objects. In modern Altai, -DYy is a pa

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Alamgeer, Hassan, Zoulfiqar Ali, and Muhammad Iftikhar. "SYNTAX OR SEMANTICS: AN EXPLORATORY STUDY." Pakistan Journal of Social Research 04, no. 02 (2022): 849–58. http://dx.doi.org/10.52567/pjsr.v4i2.536.

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The aim and purpose of this study was to investigate whether semantics was more important for a language or syntax. In other words, it is proposed to know whether meaning is more important for a language or structure. It aimed to investigate why semantics or syntax has more importance and how. This study was proposed to answer the research questions that how and why semantics is comparatively more important than syntax for a language. The research was conducted to analyze both the domains comparatively and analytically. The findings suggest that semantics is more important for a language becau

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Yan, Liang, Lei Li, Xuejiao Mu, Hao Wang, Xian Chen, and Hyoseop Shin. "Differential Privacy Preservation for Location Semantics." Sensors 23, no. 4 (2023): 2121. http://dx.doi.org/10.3390/s23042121.

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With the rapid development of intelligent mobile terminals and communication technologies, location-based services (LBSs) have become an essential part of users’ lives. LBS providers upload and share the collected users’ location data. The more commonly used methods for location privacy protection are differential privacy and its extensions. However, the semantic information about location, which is an integral part of the location data, often contains sensitive user information. Most existing research methods have failed to pay enough attention to protecting the semantic information in the lo

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SHETH, AMIT P., SUNIT K. GALA, and SHAMKANT B. NAVATHE. "ON AUTOMATIC REASONING FOR SCHEMA INTEGRATION." International Journal of Cooperative Information Systems 02, no. 01 (1993): 23–50. http://dx.doi.org/10.1142/s0218215793000034.

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Success in database schema integration depends on the ability to capture real world semantics of the schema objects, and to reason about the semantics. Earlier schema integration approaches mainly rely on heuristics and human reasoning. In this paper, we discuss an approach to automate a significant part of the schema integration process. Our approach consists of three phases. An attribute hierarchy is generated in the first phase. This involves identifying relationships (equality, disjointness and inclusion) among attributes. We discuss a strategy based on user-specified semantic clustering.

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Ullrich, Torsten. "Real-world String Comparison." Queue 19, no. 3 (2021): 107–16. http://dx.doi.org/10.1145/3475965.3478522.

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In many languages a string comparison is a pitfall for beginners. With any Unicode string as input, a comparison often causes problems even for advanced users. The semantic equivalence of different characters in Unicode requires a normalization of the strings before comparing them. This article shows how to handle Unicode sequences correctly. The comparison of two strings for equality often raises questions concerning the difference between comparison by value, comparison of object references, strict equality, and loose equality. The most important aspect is semantic equivalence.

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Busi, Nadia, and G. Michele Pinna. "Comparing Truly Concurrent Semantics for Contextual Place/Transition Nets." Fundamenta Informaticae 44, no. 3 (2000): 209–44. https://doi.org/10.3233/fun-2000-44301.

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The paper is centered around the study and comparison of truly concurrent semantics for P/T nets with inhibitor and read arcs (called henceforth contextual P/T nets). We start proposing a causal semantics for P/T nets, that we prove to be equivalent to history preserving bisimulation defined on nonsequential processes. Then we develop a conservative extension of the causal semantics to contextual P/T nets and we prove this one to be finer than step semantics. Finally, a comparison of causal semantics with the process based semantics for contextual P/T systems proposed in \cite{buspin99} is car

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Sualeh, Muhammad, and Gon-Woo Kim. "Semantics Aware Dynamic SLAM Based on 3D MODT." Sensors 21, no. 19 (2021): 6355. http://dx.doi.org/10.3390/s21196355.

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The idea of SLAM (Simultaneous Localization and Mapping) being a solved problem revolves around the static world assumption, even though autonomous systems are gaining environmental perception capabilities by exploiting the advances in computer vision and data-driven approaches. The computational demands and time complexities remain the main impediment in the effective fusion of the paradigms. In this paper, a framework to solve the dynamic SLAM problem is proposed. The dynamic regions of the scene are handled by making use of Visual-LiDAR based MODT (Multiple Object Detection and Tracking). F

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Gardiner, Mark Q., and Steven Engler. "Comparing comparison: Smith and Davidson." Estudos de Religião 36, no. 1 (2024): 113–44. http://dx.doi.org/10.15603/2176-0985/er.v36n1p113-144.

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Comparison, as a method in the study of religion, has received considerable criticism in recent years. Much of the discussion addresses what we call the dilemma of religious comparison: either similarities between the cases compared are real and the differences accidental, or the differences are real and the similarities merely apparent. The first path is held to artificially impose similarity by wrongly privileging one of the things being compared, which imposes an essentialist view, taking its characteristic as the measure of all comparable cases. The other path exaggerates differences betwe

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He, Yulin, Wei Chen, Siqi Wang, Tianci Xun, and Yusong Tan. "Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 3 (2025): 3455–63. https://doi.org/10.1609/aaai.v39i3.32358.

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Occupancy prediction plays a pivotal role in autonomous driving (AD) due to its capabilities of fine-grained 3D perception and general object recognition. However, existing methods often incur high computational costs, which conflict with AD's real-time demand. To this end, we redirect the focus from accuracy only to both accuracy and efficiency. By conducting a head-to-head comparison of existing methods, we find it challenging to balance accuracy and efficiency. We identify a core issue for this challenge: the strong coupling between geometry and semantics. Specifically, the predicted geomet

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Wei, Xiaomin, Cong Sun, Minjie Lyu, Qipeng Song, and Yue Li. "ConstDet: Control Semantics-Based Detection for GPS Spoofing Attacks on UAVs." Remote Sensing 14, no. 21 (2022): 5587. http://dx.doi.org/10.3390/rs14215587.

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UAVs are widely used in agriculture, the military, and industry. However, it is easy to perform GPS spoofing attacks on UAVs, which can lead to catastrophic consequences. In this paper, we propose ConstDet, a control semantics-based detection approach for GPS spoofing attacks of UAVs using machine learning algorithms. Various real experiments are conducted to collect real flight data, on the basis of which ConstDet is designed as a practical detection framework. To train models for the detection of GPS spoofing attacks, specified flight data types are selected as features based on the control

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Corrochano, Javier, Juan M. Alonso-Weber, María Paz Sesmero, and Araceli Sanchis. "Lane following Learning Based on Semantic Segmentation with Chroma Key and Image Superposition." Electronics 10, no. 24 (2021): 3113. http://dx.doi.org/10.3390/electronics10243113.

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There are various techniques to approach learning in autonomous driving; however, all of them suffer from some problems. In the case of imitation learning based on artificial neural networks, the system must learn to correctly identify the elements of the environment. In some cases, it takes a lot of effort to tag the images with the proper semantics. This is also relevant given the need to have very varied scenarios to train and to thus obtain an acceptable generalization capacity. In the present work, we propose a technique for automated semantic labeling. It is based on various learning pha

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Korneva, Oksana G., Mehirban M. Abdullaeva, and Valentina V. Barabanshchikova. "Subjective Semantics of Representations of Creativity in Psychology Cadets." Moscow University Psychology Bulletin 47, no. 1 (2024): 106–30. http://dx.doi.org/10.11621/lpj-24-05.

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Background. The necessity of studying perceptions of creativity in psychology cadets is conditioned by the fact that the “soft” skill of creativity is associated with the ability to go beyond the given conditions and to act effectively in uncertain situations, and also by the fact that the successful adaptation of a young specialist to work depends on whether his perceptions of his activity coincide with its real content. Objectives. The research is meant to identify the peculiarities of representations of creativity in psychology cadets at the adept stage. Study Participants. A total of 201 p

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Riznyk, Serhii. "Scientific personality of Ilya Kucherenko in Ukrainian grammarology." Ukrainian Linguistics, no. 53 (2023): 11–23. http://dx.doi.org/10.17721/um/53(2023).11-23.

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The article is devoted to the analysis of the scientific contribution of Taras Shevchenko Kyiv University professor Ilya Kucherenko to the development of the grammatical theory of word combinations and sentences, the innovative principles of classification of parts of speech, the theory of cases, the syntactic status of homogeneous clauses, the function of the preposition in a syntactic combination, the syntactic nature of phraseological units, the principles of logical consistency in definition of key concepts and mechanisms of language structure. His innovative grammatical concept lies in th

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Abid, Ahmed, Jieun Lee, Franck Le Gall, and JaeSeung Song. "Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study." Sensors 22, no. 13 (2022): 4798. http://dx.doi.org/10.3390/s22134798.

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A considerable number of Internet of Things deployments are isolated from specific solutions, from devices to data platforms. Standardized data models were proposed to overcome the interoperability gap between these deployments. Next generation service interfaces-linked data (NGSI-LD) is one of the proposed platforms that exploits linked data and proposes an information model and an application programming interface (API) for easy use and standard management of context information. The NGSI-LD information model is based on JSON for Linked Data (JSON-LD) as a serialization format for context in

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BROUWERS, PIM, MARTINE VAN ENGELEN, FRANÇOIS LALONDE, et al. "Abnormally increased semantic priming in children with symptomatic HIV-1 disease: Evidence for impaired development of semantics?" Journal of the International Neuropsychological Society 7, no. 4 (2001): 491–501. http://dx.doi.org/10.1017/s1355617701744050.

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Language deficits are a major characteristic of neurobehavioral dysfunction in pediatric HIV disease. An object decision task, which assessed reaction time facilitation following a semantic or identical prime in comparison to an unrelated prime, was used to investigate whether semantic processing abnormalities could be responsible, in part, for these deficits. Thirty children with vertically acquired HIV infection (M age 9.0 years; range 6–13) participated. Either a picture of the same object (repetition prime), a semantically related object (semantic prime), a semantically unrelated object, o

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М., С. Заоборна. "СТРУКТУРНО-СЕМАНТИЧНІ ПАРАМЕТРИ СКЛАДНОПІДРЯДНИХ ПОРІВНЯЛЬНИХ РЕЧЕНЬ В ІДІОЛЕКТІ МАРКА ВОВЧКА". Лінгвістичні дослідження, № 45 (19 червня 2017): 60–69. https://doi.org/10.5281/zenodo.814061.

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<em>Pure syntactic, semantic and syntactic and pure syntactic features of subordinate comparative clauses as extrapolated on Marko Vovchok’s idiolect have been observed in the article. The topicality of such an approach is connected with the realization of the fact that, on the one hand, syntactic system of a language is the result of stabilizing of certain types of speech models which function in the text, and on the other hand, that typical features of a certain syntactic structure are highlighted and varied according to the individual and creative manner of the writer. The goal of the artic

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Rudakova, Alexandra V. "Theoretical and applied problems of psycholinguistic lexicography." Journal of Psycholinguistic, no. 2 (June 27, 2022): 73–89. http://dx.doi.org/10.30982/2077-5911-2022-52-2-73-89.

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The purpose of this paper is to describe the theoretical problems of a new direction – psycholinguistic lexicography. The accumulation of a large amount of factual experimental material required the development of principles for fixing the psycholinguistic description of the meaning of a word in lexicographic sources. The theoretical basis of the study was the ideas of Professor I.A. Sternin, the founder of the Voronezh Psycholinguistic School, about the possibility of describing the psychologically real semantics of a word based on the experimental data and about the formation of psycholingui

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Jin, Ran, Xiaozhen Han, and Tongrui Yu. "A Real-Time Image Semantic Segmentation Method Based on Multilabel Classification." Mathematical Problems in Engineering 2021 (May 31, 2021): 1–13. http://dx.doi.org/10.1155/2021/9963974.

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Image semantic segmentation as a kind of technology has been playing a crucial part in intelligent driving, medical image analysis, video surveillance, and AR. However, since the scene needs to infer more semantics from video and audio clips and the request for real-time performance becomes stricter, whetherthe single-label classification method that was usually used before or the regular manual labeling cannot meet this end. Given the excellent performance of deep learning algorithms in extensive applications, the image semantic segmentation algorithm based on deep learning framework has been

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Russkikh, Nikolai, Denis Antonets, Dmitry Shtokalo, et al. "Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis." Bioinformatics 36, no. 20 (2020): 5076–85. http://dx.doi.org/10.1093/bioinformatics/btaa624.

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Abstract Motivation The transcriptomic data are being frequently used in the research of biomarker genes of different diseases and biological states. The most common tasks there are the data harmonization and treatment outcome prediction. Both of them can be addressed via the style transfer approach. Either technical factors or any biological details about the samples which we would like to control (gender, biological state, treatment, etc.) can be used as style components. Results The proposed style transfer solution is based on Conditional Variational Autoencoders, Y-Autoencoders and adversa

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Nesbit, John C., and Kazuhiko Nakayama. "Sequence Comparison Applied to Correction and Markup of Multi-Word Responses." CALICO Journal 7, no. 4 (2013): 27–35. http://dx.doi.org/10.1558/cj.v7i4.27-35.

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In some instructional situations, such as foreign language dictation, the degree of correctness of a student's text response can be determined without reference to grammar and semantics by comparison with a target string provided by a course author. The standard sequence comparison procedure, which assesses the distance between two strings in terms of edit costs, makes demands on machine time proportional to the product of the string lengths. This characteristic renders it impractical for real-time correction of multi-word responses on current instructional computer systems. We present a much

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Litvinova, Tatiana A., and Olga V. Dekhnich. "Modeling the Meaning of Individual Words Using Cultural Cartography and Keystroke Dynamics." Integration of Education 28, no. 4 (2024): 624–40. https://doi.org/10.15507/1991-9468.117.028.202404.624-640.

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Introduction. Revealing the psychologically real, individual meaning of the word as opposed to its dictionary meaning is the important task since such knowledge is crucial for effective communication. This is especially true for the words which denote key ideas and concepts of the culture. The word association experiment has been one of the most used methodologies to examine individual meaning of the word but it has been heavily criticized because of its subjectivity. In some of the recent works, data from language models and methods of vector semantics have been used to solve this problem. Ho

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ALVAREZ, MARCO A., and CHANGHUI YAN. "A GRAPH-BASED SEMANTIC SIMILARITY MEASURE FOR THE GENE ONTOLOGY." Journal of Bioinformatics and Computational Biology 09, no. 06 (2011): 681–95. http://dx.doi.org/10.1142/s0219720011005641.

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Existing methods for calculating semantic similarities between pairs of Gene Ontology (GO) terms and gene products often rely on external databases like Gene Ontology Annotation (GOA) that annotate gene products using the GO terms. This dependency leads to some limitations in real applications. Here, we present a semantic similarity algorithm (SSA), that relies exclusively on the GO. When calculating the semantic similarity between a pair of input GO terms, SSA takes into account the shortest path between them, the depth of their nearest common ancestor, and a novel similarity score calculated

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Omran, Esraa, David Nelson, and Ali M. Roumani. "A Comparative Study to the Semantics of Ontology Chain-Based Data Access Control versus Conventional Methods in Healthcare Applications." Computer and Information Science 10, no. 4 (2017): 1. http://dx.doi.org/10.5539/cis.v10n4p1.

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The necessity of having intelligent methodology to access databases in networks has become more apparent in the age of distributed networks. Using semantics and ontologies can be highly helpful in developing such methodologies, as they provide the required classifications and mined information. The necessities that are required by the database administrator to build durable, reliable, and flexible data access methodology have been highly appreciated. This study that compares between the proposed system and conventional methods, for example Role Based Access Control (RBAC) and classical chain-b

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Ji, Yuzhou, He Zhu, Junshu Tang, et al. "FastLGS: Speeding Up Language Embedded Gaussians with Feature Grid Mapping." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 4 (2025): 3922–30. https://doi.org/10.1609/aaai.v39i4.32410.

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The semantically interactive radiance field has always been an appealing task for its potential to facilitate user-friendly and automated real-world 3D scene understanding applications. However, it is a challenging task to achieve high quality, efficiency and zero-shot ability at the same time with semantics in radiance fields. In this work, we present FastLGS, an approach that supports real-time open-vocabulary query within 3D Gaussian Splatting (3DGS) under high resolution. We propose the semantic feature grid to save multi-view CLIP features which are extracted based on Segment Anything Mod

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Siddiqui, Tarique, Surajit Chaudhuri, and Vivek Narasayya. "COMPARE." Proceedings of the VLDB Endowment 14, no. 11 (2021): 2419–31. http://dx.doi.org/10.14778/3476249.3476291.

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Data analysis often involves comparing subsets of data across many dimensions for finding unusual trends and patterns. While the comparison between subsets of data can be expressed using SQL, they tend to be complex to write, and suffer from poor performance over large and high-dimensional datasets. In this paper, we propose a new logical operator COMPARE for relational databases that concisely captures the enumeration and comparison between subsets of data and greatly simplifies the expressing of a large class of comparative queries. We extend the database engine with optimization techniques

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Jilani, Sartaj Fakhar, and Behzad Anwar. "Lexico-Semantic Features of Pakistani English Newspapers: A Corpus-Based Approach." International Journal of English Linguistics 8, no. 4 (2018): 50. http://dx.doi.org/10.5539/ijel.v8n4p50.

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Lexico-semantic variation with its socio-cultural significance, genuinely instilled in the tint of adaptation as well as innovation, has prompted many researchers and linguists to explore profoundly within the prolific soil of Pakistani English, while formulating its mark within the sphere of “New Englishes”. This “norm-developing” variety traces the accelerating concern in the momentum of diffusion of “World Englishes”, and consequently, adding to the evolution and development of English in non-native-contexts with its deep enriching essence. The principal goal of the present research work is

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MAHAREEK, Esraa Alaa, Doaa Rizk FATHY, Eman Karm ELSAYED, Nahed ELDESOUKY, and Kamal Abdelraouf ELDAHSHAN. "VIOLENCE PREDICTION IN SURVEILLANCE VIDEOS." Applied Computer Science 20, no. 3 (2024): 1–16. http://dx.doi.org/10.35784/acs-2024-25.

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Forecasting violence has become a critical obstacle in the field of video monitoring to guarantee public safety. Lately, YOLO (You Only Look Once) has become a popular and effective method for detecting weapons. However, identifying and forecasting violence remains a challenging endeavor. Additionally, the classification results had to be enhanced with semantic information. This study suggests a method for forecasting violent incidents by utilizing Yolov9 and ontology. The authors employed Yolov9 to identify and categorize weapons and individuals carrying them. Ontology is utilized for semanti

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ZESE, RICCARDO, GIUSEPPE COTA, EVELINA LAMMA, ELENA BELLODI, and FABRIZIO RIGUZZI. "Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach." Theory and Practice of Logic Programming 19, no. 3 (2019): 449–76. http://dx.doi.org/10.1017/s1471068418000480.

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AbstractWhen modeling real-world domains, we have to deal with information that is incomplete or that comes from sources with different trust levels. This motivates the need for managing uncertainty in the Semantic Web. To this purpose, we introduced a probabilistic semantics, named DISPONTE, in order to combine description logics (DLs) with probability theory. The probability of a query can be then computed from the set of its explanations by building a Binary Decision Diagram (BDD). The set of explanations can be found using thetableau algorithm, which has to handle non-determinism. Prolog,

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Ma, Z. M., Fu Zhang, Hailong Wang, and Li Yan. "An overview of fuzzy Description Logics for the Semantic Web." Knowledge Engineering Review 28, no. 1 (2012): 1–34. http://dx.doi.org/10.1017/s0269888912000306.

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AbstractInformation imprecision and uncertainty exist in many real world applications, and such information would be retrieved, processed, shared, reused, and aligned in the maximum automatic way possible. As a popular family of formally well-founded and decidable knowledge representation languages, fuzzy Description Logics (fuzzy DLs), which extend DLs with fuzzy logic, are very well suited to cover for representing and reasoning with imprecision and uncertainty. Thus, a requirement naturally arises in many practical applications of knowledge-based systems, in particular the Semantic Web, bec

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Butakova, L. O. "The Book – a Source of Knowledge? (Subjective Semantics of Lexemes Book, Computer, Tablet, Internet)." Russian language at school 80, no. 4 (2019): 36–44. http://dx.doi.org/10.30515/0131-6141-2019-80-4-36-44.

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The purpose of the article is to model and analyze fragments of the language consciousness of schoolchildren associated with modern and traditional sources of information. The material for the study are the results of associative experiments conducted in several stages in 2015–2018. The author used psycholinguistic method of a free associative experiment with the subsequent construction of the traditional and cognitive structure of the associative field to determine the composition of the resulting components of the incentive semantics. The identification of trends in semantic development was

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Ghozia, Ahmed, Gamal Attiya, Emad Adly, and Nawal El-Fishawy. "Intelligence Is beyond Learning: A Context-Aware Artificial Intelligent System for Video Understanding." Computational Intelligence and Neuroscience 2020 (December 23, 2020): 1–15. http://dx.doi.org/10.1155/2020/8813089.

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Understanding video files is a challenging task. While the current video understanding techniques rely on deep learning, the obtained results suffer from a lack of real trustful meaning. Deep learning recognizes patterns from big data, leading to deep feature abstraction, not deep understanding. Deep learning tries to understand multimedia production by analyzing its content. We cannot understand the semantics of a multimedia file by analyzing its content only. Events occurring in a scene earn their meanings from the context containing them. A screaming kid could be scared of a threat or surpr

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Wang, Kewei, Fuwu Yan, Bin Zou, Luqi Tang, Quan Yuan, and Chen Lv. "Occlusion-Free Road Segmentation Leveraging Semantics for Autonomous Vehicles." Sensors 19, no. 21 (2019): 4711. http://dx.doi.org/10.3390/s19214711.

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The deep convolutional neural network has led the trend of vision-based road detection, however, obtaining a full road area despite the occlusion from monocular vision remains challenging due to the dynamic scenes in autonomous driving. Inferring the occluded road area requires a comprehensive understanding of the geometry and the semantics of the visible scene. To this end, we create a small but effective dataset based on the KITTI dataset named KITTI-OFRS (KITTI-occlusion-free road segmentation) dataset and propose a lightweight and efficient, fully convolutional neural network called OFRSNe

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Penia, О., and Ye Sulema. "Probabilistic method of fuzzy number comparison." System technologies 1, no. 156 (2025): 139–49. https://doi.org/10.34185/1562-9945-1-156-2025-16.

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The subject of fuzzy numbers comparison is not very prevalent in modern research. A number of older publications propose a number of well-known methods that broadly fall into one of three classes. First is index-based comparison, which maps fuzzy numbers into a real value and ranks them accordingly, such as Adamo, Yager, Chang, Liu and Wang, etc. Sec-ondly, there are methods that propose fuzzy number ranking based on distance (e.g. Hamming distance) from certain reference sets, such as Kerre and Jain. Third category is rare and pro-poses a specific pair-wise ranking approach in particular circ

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Vyrva, A. U., and D. A. Leontyev. "Subjective and Objective Factors in Subjective Semantic Evaluations of Architectural Works." Cultural-Historical Psychology 12, no. 2 (2016): 33–45. http://dx.doi.org/10.17759/chp.2016120204.

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This research focuses on empirical explorations of psychological features and mechanisms of the perception of architectural space in professional architects; on the comparison of semantic evaluations and factors of the perception of architecture in professionals and non-professionals; and on the comparison of the perception and semantic evaluation of real architectural works and of photographs of these works, measured with techniques of personality and architectural semantic differential and the Value Spectrum technique. As it was revealed, the perception and semantic evaluation of architectur

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Sickinger, Pawel. "Aiming for Cognitive Equivalence – Mental Models as a Tertium Comparationis for Translation and Empirical Semantics." Research in Language 15, no. 2 (2017): 213–36. http://dx.doi.org/10.1515/rela-2017-0013.

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This paper introduces my concept of cognitive equivalence (cf. Mandelblit, 1997), an attempt to reconcile elements of Nida’s dynamic equivalence with recent innovations in cognitive linguistics and cognitive psychology, and building on the current focus on translators’ mental processes in translation studies (see e.g. Göpferich et al., 2009, Lewandowska-Tomaszczyk, 2010). My approach shares its general impetus with Lewandowska-Tomaszczyk’s concept of re-conceptualization, but is independently derived from findings in cognitive linguistics and simulation theory (see e.g. Langacker, 2008; Feldma

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Banaee, Hadi, Erik Schaffernicht, and Amy Loutfi. "Data-driven Conceptual Spaces: Creating Semantic Representations For Linguistic Descriptions Of Numerical Data." Journal of Artificial Intelligence Research 63 (November 29, 2018): 691–742. http://dx.doi.org/10.1613/jair.1.11258.

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There is an increasing need to derive semantics from real-world observations to facilitate natural information sharing between machine and human. Conceptual spaces theory is a possible approach and has been proposed as mid-level representation between symbolic and sub-symbolic representations, whereby concepts are represented in a geometrical space that is characterised by a number of quality dimensions. Currently, much of the work has demonstrated how conceptual spaces are created in a knowledge-driven manner, relying on prior knowledge to form concepts and identify quality dimensions. This p

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Afaf, Mirghani Hassan. "JAVA and DART programming languages: Conceptual comparison." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 2 (2020): 845–49. https://doi.org/10.11591/ijeecs.v17.i2.pp845-849.

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This paper elaborates on the concepts of a new programming language “Dart”, which has been developed by Google and considered for future use. Here, we compare it to the most famous, real time, and updated language “Java”. This is to define similarities and differences between the two important languages, explain programs’ behavior, with a focus on investigating alternative implementation strategies and problem definitions. We used programming languages’ concepts and terminologies to compare between the main characteristics of the two languages, Dart & Ja

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Papaioannou, Ioannis, Christos Korkas, and Elias Kosmatopoulos. "Smart Building Recommendations with LLMs: A Semantic Comparison Approach." Buildings 15, no. 13 (2025): 2303. https://doi.org/10.3390/buildings15132303.

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The increasing need for sustainable energy management in smart buildings calls for cost-effective solutions that balance energy efficiency and occupant comfort. This article presents a Large Language Model (LLM)-based recommendation system capable of generating proactive, context-aware suggestions from dynamic building conditions. The system was trained on a combination of real-world data and Sinergym simulations, capturing inputs such as weather conditions, forecasts, energy usage, electricity prices, and detailed zone parameters. Five models were fine-tuned and evaluated: GPT-2-Small, GPT-2-

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Kolos, R. A. "Text and Image Reception on the Example of the Old Believer Synodicon of the XVIII century: on the Question of the Semantics of Thanatological Representations." Proceedings of SPSTL SB RAS, no. 2 (February 1, 2024): 27–35. http://dx.doi.org/10.20913/2618-7515-2024-2-27-35.

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The study of the semantics of images and colors found in the Old Believer miniaturist helps to better understanding and revealing the meaning of thanatological representations of this confessional group. Special role belongs to the text that accompanies the miniature and often becomes a source of interpretation of certain symbols. The purpose of the article is to reconstruct the reception of the image through the text and the semantics of illustration colors by a representative of the XVIII cent. as a bearer of semiotic and semantic codes of historical and cultural tradition.The article reveal

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ESTÉVEZ-MARTÍN, S., T. HORTALÁ-GONZÁLEZ, M. RODRÍGUEZ-ARTALEJO, R. DEL VADO-VÍRSEDA, F. SÁENZ-PÉREZ та A. J. FERNÁNDEZ. "On the cooperation of the constraint domains ℋ, ℛ, and ℱ in CFLP". Theory and Practice of Logic Programming 9, № 4 (2009): 415–527. http://dx.doi.org/10.1017/s1471068409003780.

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AbstractThis paper presents a computational model for the cooperation of constraint domains and an implementation for a particular case of practical importance. The computational model supports declarative programming with lazy and possibly higher-order functions, predicates, and the cooperation of different constraint domains equipped with their respective solvers, relying on a so-called constraint functional logic programming (CFLP) scheme. The implementation has been developed on top of theCFLPsystem, supporting the cooperation of the three domains ℋ, ℛ, and ℱ, which supply equality and dis

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Leiva-Mederos, Amed, Jose A. Senso, Yusniel Hidalgo-Delgado, and Pedro Hipola. "Working framework of semantic interoperability for CRIS with heterogeneous data sources." Journal of Documentation 73, no. 3 (2017): 481–99. http://dx.doi.org/10.1108/jd-07-2016-0091.

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Purpose Information from Current Research Information Systems (CRIS) is stored in different formats, in platforms that are not compatible, or even in independent networks. It would be helpful to have a well-defined methodology to allow for management data processing from a single site, so as to take advantage of the capacity to link disperse data found in different systems, platforms, sources and/or formats. Based on functionalities and materials of the VLIR project, the purpose of this paper is to present a model that provides for interoperability by means of semantic alignment techniques and

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Zheng, Wenxuan. "Representation of the Green Color in Russian and French Linguo-Cultures." Litera, no. 1 (January 2024): 202–12. http://dx.doi.org/10.25136/2409-8698.2024.1.69495.

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This article represents an in-depth linguistic analysis of the use of green color in the Russian and French languages. The richness of phraseological expressions and lexical turns associated with this color is examined in diverse contexts. The primary focus is on denoting plants, nature, and metaphorical meanings, such as associations with youth and emotions. The study covers various domains of green color use, including its connection with playing cards, money, and alcohol. The author aims to uncover how the color interacts with cultural concepts and perceptions in different linguocultural en

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Zhang, Hongjun, Chengxiang Yin, Xiuli Qi, Rui Zhang, and Xingdang Kang. "Cognitive Best Worst Method for Multiattribute Decision-Making." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1092925.

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Pairwise comparison based multiattribute decision-making (MADM) methods are widely used and studied in recent years. However, the perception and cognition towards the semantic representation for the linguistic rating scale and the way in which the pairwise comparisons are executed are still open to discuss. The commonly used ratio scale is likely to produce misapplications and the matrix based comparison style needs too many comparisons and is not able to guarantee the consistency of the matrix when the number of objects involved is large. This research proposes a new MADM method CBWM (Cogniti

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Liu, Yulin. "Quantum-based Detection of Higly Semantically Similar Social bot." Frontiers in Computing and Intelligent Systems 3, no. 3 (2023): 38–42. http://dx.doi.org/10.54097/fcis.v3i3.7991.

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Social bot often publish content that has a high degree of similarity in text or semantics. Combining this feature, this paper designs a method to detect social bot. First, the user-published text is used as the input to use sentiment analysis and data cleaning to predict the content. Processing and classification, and then adding the quantum similarity algorithm in the emerging quantum discipline in recent years to the structural system of social bot detection to perform similarity clustering, which greatly improves the operating efficiency of the system, and then obtains the corresponding us

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Dwivedi, Ritesh Kumar, Parma Nand, and Om Pal. "Hybrid NMT model and comparison with existing machine translation approaches." Multidisciplinary Science Journal 7, no. 4 (2024): 2025146. http://dx.doi.org/10.31893/multiscience.2025146.

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Neural machine translation has transformed automated translation, surpassing traditional methods with its significant accuracy improvements. However, despite its successes, NMT still encounters several challenges, such as handling low-resource languages, maintaining contextual coherence, and addressing ambiguities in translation. This research presents a novel hybrid NMT model to overcome these limitations. It combines the strengths of traditional translation methods with modern deep learning approaches. We conduct a comprehensive comparative analysis of our hybrid model against existing machi

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Czajka, Marcin, Maciej Krupka, Daria Kubacka, Michał Remigiusz Janiszewski, and Dominik Belter. "A Comparison of Segmentation Methods for Semantic OctoMap Generation." Applied Sciences 15, no. 13 (2025): 7285. https://doi.org/10.3390/app15137285.

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Semantic mapping plays a critical role in enabling autonomous vehicles to understand and navigate complex environments. Instead of computationally demanding 3D segmentation of point clouds, we propose efficient segmentation on RGB images and projection of the corresponding LIDAR measurements on the semantic OctoMap. This study presents a comparative evaluation of different semantic segmentation methods and examines the impact of input image resolution on the accuracy of 3D semantic environment reconstruction, inference time, and computational resource usage. The experiments were conducted usin

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Gvantseladze, Anna. "Comparisons in works of fiction of Turkish writers of the XX century." Vìsnik Marìupolʹsʹkogo deržavnogo unìversitetu. Serìâ: Fìlologìâ 13, no. 22 (2020): 122–30. http://dx.doi.org/10.34079/2226-3055-2020-13-22-122-130.

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The paper deals with comparison constructions of the Turkish language on the base of works of fiction of Turkish writers of the 20th century. Reflecting figurative (simile) and non-figurative (correlation between qualitative and quantitative characteristics of two objects) collation of two or more objects comparisons in the Turkish language are examined from the lexico-semantic point of view and though their syntactic role in the sentence. Comparison remains a relevant and interesting topic of research despite the large number of works. It is a mean, a way of investigation and knowing of reali

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Hutsuliak, Tetiana Ye. "WORD-FORMING MEANING OF „SIMILARITY”: PRINCIPLES OF DETERMINING AND FIXING IN DICTIONARY DEFINITIONS." Naukovì zapiski Nacìonalʹnogo unìversitetu «Ostrozʹka akademìâ». Serìâ «Fìlologìâ» 1, no. 12(80) (2021): 88–92. http://dx.doi.org/10.25264/2519-2558-2021-12(80)-88-92.

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This research focuses on the analysis of the specificity of fixing the word-forming and general lexical semantics of substantival derivatives with a figurative component of content in dictionary definitions. The need to fix the concept of word-forming meaning of „similarity” in the terminological tools of modern derivatology is substantiated. To describe the word-forming semantics of derived units with a figurative component of content, the terms derivational meaning of „comparativeness” or derivational meaning of „similarity” have been accepted in modern linguistic studies. The article emphas

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Park, Chang-Sup, and Sungchae Lim. "Effective keyword query processing with an extended answer structure in large graph databases." International Journal of Web Information Systems 10, no. 1 (2014): 65–84. http://dx.doi.org/10.1108/ijwis-11-2013-0030.

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Purpose – The paper aims to propose an effective method to process keyword-based queries over graph-structured databases which are widely used in various applications such as XML, semantic web, and social network services. To satisfy users' information need, it proposes an extended answer structure for keyword queries, inverted list indexes on keywords and nodes, and query processing algorithms exploiting the inverted lists. The study aims to provide more effective and relevant answers to a given query than the previous approaches in an efficient way. Design/methodology/approach – A new releva

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