Die verhouding tussen kerk en ??á?? in Pauliniese perspektief by J. A. du Rand

“… The aim of this contribution is to investigate the pivotal semantic position taken by ??á?? in its relationship to the Pauline concept of church. ??…”
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Understanding and ad hoc Explanation: A Case of Russell’s Reducibility Axiom by V. V. Tselishchev, A. V. Khlebalin

“…In particular, the ad hoc character attributed to the reducibility axiom is refuted and its explanatory role in substantiating Russell’s uniform approach to resolving set-theoretic and semantic paradoxes is affirmed. The key emphasis in the explanatory nature of the axiom of reducibility is placed on the intensional interpretation of mathematical discourse.…”
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SynoExtractor: A Novel Pipeline for Arabic Synonym Extraction Using Word2Vec Word Embeddings by Rawan N. Al-Matham, Hend S. Al-Khalifa

“…Recently, research has focused on extracting semantic relations from word embeddings since they capture relatedness and similarity between words. …”
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Identification of LSA Data Retrieval Method and Temporal Graph for Document Retrieval by Shahla Rezvani, Nader Naghshineh, Ahmad Khalilijafarabad

“…This study tends to identify information retrieval method of latent semantic analysis and temporal graph for document retrieval. …”
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Attention-enhanced multimodal feature fusion network for clothes-changing person re-identification by Yongkang Ding, Jiechen Li, Hao Wang, Ziang Liu, Anqi Wang

“…AE-Net effectively mitigates the impact of clothing changes on recognition accuracy by integrating RGB global features, grayscale image features, and clothing-irrelevant features obtained through semantic segmentation. Specifically, global features capture the overall appearance of the person; grayscale image features help eliminate the interference of color in recognition; and clothing-irrelevant features derived from semantic segmentation enforce the model to learn features independent of the person’s clothing. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…Our proposed method works well for scenarios where semantic clustering of the scene is possible. Our approach is based on the solid theoretical foundation of Gradient-weighted Class Activation Mapping (GradCAM) and Classification and Regression Tree with additional proxy geometry heuristics. …”
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SOME CONSIDERATIONS ON THE TYPOLOGY OF PHILOSOPHICAL-ANTHROPOLOGICAL MODELS (TO THE PROBLEM OF VALUE IDENTIFICATIONS OF UKRAINIANS) by V. V. Mudrakov, O. S. Polishchuk

“…It is about certain models that fulfill the worldview-semantic modes of a person. Theoretical basis. The authors cover (O. …”
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Dual Generative Network with Discriminative Information for Generalized Zero-Shot Learning by Tingting Xu, Ye Zhao, Xueliang Liu

“…Recent methods focus on learning a unified semantic-aligned visual representation to transfer knowledge between two domains, while ignoring the intrinsic characteristics of visual features which are discriminative enough to be classified by itself. …”
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ANTHROPOLOGICAL MEASURING OF COMMUNICATIVE – INFORMATIVE CONSCIOUSNESS OF SENSE OF OBJECTIVE REALITY by Vera I. Aksenova

“…The formation of the personality is defined by the procedure of interpretation which allows to establish within the discursive space the semantic meanings with a particular situation and thanks to that to reach joining external structures of sociocultural life with the inner world. …”
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Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

“…Subsequently, WordNet was employed to achieve semantic deduplication and generalization of the candidate service attributes. …”
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Political technologies: structural and functional indifference by O. N. Zabuzov

“…The nature of political technologies has been analysed. Semantic components of political technologies have been studied. …”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…To promote the development of e-commerce, a false comment recognition model based on triplet convolutional twin network and CatBoost model is proposed. Key semantic features are refined from the perspective of semantic similarity through triplet convolutional twin networks. …”
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Linguistic aspects of law: problems and prospects by S. P. Girenko, O. B. Overchuk, V. A. Pertseva

“…The article discusses the debatable approaches to semantic and textual examination of legal texts, its positive and negative consequences, and substantiates the need to expand the subject area in order to create a single modern research space in the coordinate system “language and law”.…”
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Intervention in the Domestic Affairs: Questioning Definitions by V. I. Bartenev

“…The second debate focuses on delimiting semantic boundaries of the ‘intervention’ concept. …”
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Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method by Guofeng Ren, Guicheng Shao, Jianmei Fu

“…By considering the graphical representation of the articulators’ motion, this study combined Bidirectional Long Short-Term Memory (BiLSTM) with convolution neural network (CNN) and adopted the idea of word attention in Mandarin to extract semantic features. In this paper, we used the electromagnetic articulography (EMA) database designed by Taiyuan University of Technology, which contains ten speakers’ 299 disyllables and sentences of Mandarin, and extracted 8-dimensional articulatory features and 1-dimensional semantic feature relying on the word-attention layer; we then trained 200 samples and tested 99 samples for the articulatory-to-acoustic conversion. …”
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Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East of Thailand by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…Performance was evaluated on a dataset of 100 diverse prescription labels from Thai healthcare facilities, using RAG Assessment (RAGAs) metrics to assess Context Recall, Factual Correctness, Faithfulness, and Semantic Similarity. The Two-Stage model achieved high accuracy (94%) and strong RAGAs scores, particularly in Context Recall (0.88) and Semantic Similarity (0.91), making it well-suited for complex medication instructions. …”
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FAMHE-Net: Multi-Scale Feature Augmentation and Mixture of Heterogeneous Experts for Oriented Object Detection by Yixin Chen, Weilai Jiang, Yaonan Wang

“…Current detectors struggle with integrating spatial and semantic information effectively across scales and often omit necessary refinement modules to focus on salient features. …”
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Node and Edge Joint Embedding for Heterogeneous Information Network by Lei Chen, Yuan Li, Hualiang Liu, Haomiao Guo

“…The NEJE model can better capture the latent structural and semantic information from an HIN through two joint learning strategies: type-level joint learning and element-level joint learning. …”
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Distributed Storage Strategy and Visual Analysis for Economic Big Data by Xiangli Chang, Hailang Cui

“…Taking into account the spatial, temporal, and semantic characteristics of economic big data, this paper proposes a unified coding method based on the spatiotemporal data multilevel division strategy combined with Geohash and Hilbert and spatiotemporal semantic constraints. …”
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Degré et intensification : essai de typologie by Lucile Bordet, Denis Jamet

“…They all focus on syntactic, semantic or morphosyntactic criteria leaving aside the phonological, lexical or stylistic dimensions of degree and intensification processes. …”
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