Research and Implementation of Digital Media Recommendation System Based on Semantic Classification by Xiaoguang Li

“…In order to study the recommendation system of digital media based on semantic classification, the CF-LFMC algorithm based on semantic classification is proposed. …”
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Pain-Related and Negative Semantic Priming Enhances Perceived Pain Intensity by Maria Richter, Christoph Schroeter, Theresa Puensch, Thomas Straube, Holger Hecht, Alexander Ritter, Wolfgang HR Miltner, Thomas Weiss

“…BACKGROUND: Negative affective and pain-related cues, such as pictures or words, have been shown to act as primes and enhance the perceived intensity of subsequent painful events. For pain-related semantic primes, it remains unclear whether this effect depends on negative valence itself or, specifically, on the pain-relatedness of the words.…”
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Class-aware feature attention-based semantic segmentation on hyperspectral images. by Prabu Sevugan, Venkatesan Rudhrakoti, Tai-Hoon Kim, Megala Gunasekaran, Swarnalatha Purushotham, Ravikumar Chinthaginjala, Irfan Ahmad, Kumar A

“…Aclass-aware feature-based attention approach is combined with an enhanced attention-based network, FAttNet is proposed to segment the hyperspectral images semantically. It is introduced to address challenges associated with inaccurate edge segmentation, diverse forms of target inconsistency, and suboptimal predictive efficacy encountered in traditional segmentation networks when applied to semantic segmentation tasks in hyperspectral images. …”
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Instance-level semantic segmentation of nuclei based on multimodal structure encoding by Bo Guan, Guangdi Chu, Ziying Wang, Jianmin Li, Bo Yi

“…The framework incorporates: (1) A multi-scale feature fusion and knowledge distillation module utilizing the Contrastive Language-Image Pre-training (CLIP) model’s image encoder; (2) A method to transform morphological features of cells into textual descriptions for semantic representation; and (3) A graph neural network approach to learn spatial relationships and contextual information between cell nuclei. …”
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Improvement and Analysis of Semantic Similarity Algorithm Based on Linguistic Concept Structure by Shan Xiao, Cheng Di, Pei Li

“…For such huge data storage and identification, in order to manage such data more efficiently and reasonably, traditional semantic similarity algorithm emerges. However, the accuracy of the traditional semantic similarity algorithm is relatively low, and the convergence of corresponding algorithm is poor. …”
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ANALYSIS OF SEMANTIC PROSODY IN THE COLLOCATION WORDS OF "SOCIAL DISTANCING" AND "PHYSICAL DISTANCING" by Audina Oktaviana

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The Robust Semantic SLAM System for Texture-Less Underground Parking Lot by Chongjun Liu, Jianjun Yao

“…The vehicle can localize itself and navigate to the target parking lot with the semantic segmented picture and the preobtained semantic map. …”
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A Patient with Difficulty of Object Recognition: Semantic Amnesia for Manipulable Objects by A. Yamadori, Y. Yoneda, H. Yamashita, K. Sugiura

“…We believe this “object meaning amnesia” constitutes a distinct subtype of semantic amnesia.…”
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Resolving Lexical Verb Ambiguity in Yoruba through Semantic Web Annotations by Aina A. Akindele

Subjects: “…Lexical verb ambiguity, Semantic web annotation, Machine translation tools…”
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Visual Semantic Navigation Based on Deep Learning for Indoor Mobile Robots by Li Wang, Lijun Zhao, Guanglei Huo, Ruifeng Li, Zhenghua Hou, Pan Luo, Zhenye Sun, Ke Wang, Chenguang Yang

“…In order to improve the environmental perception ability of mobile robots during semantic navigation, a three-layer perception framework based on transfer learning is proposed, including a place recognition model, a rotation region recognition model, and a “side” recognition model. …”
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Machines, Symbolic AI, and the Semantic Web:What They Are and Why They Matter in the Humanities by Roberta Padlina

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Sentence Embedding Based Semantic Clustering Approach for Discussion Thread Summarization by Atif Khan, Qaiser Shah, M. Irfan Uddin, Fasee Ullah, Abdullah Alharbi, Hashem Alyami, Muhammad Adnan Gul

“…Next, K-medoid clustering algorithm is applied to group semantically similar reply sentences in order to reduce the overlapping reply sentences. …”
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VisualSAF-A Novel Framework for Visual Semantic Analysis Tasks by Antonio V. A. Lundgren, Byron L. D. Bezerra, Carmelo J. A. Bastos-Filho

Subjects: “…Visual semantic analysis…”
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Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

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Syntactic and semantic variations in negative interrogatives: Contracted vs. uncontracted forms by Khalsiah Khalsiah, Burhanuddin Yasin, Muhammad Yusuf, Fatmawati Fatmawati

“…This study investigates the forms and uses of negative interrogatives with auxiliary verb contractions in English, focusing on syntactic and semantic differences. Data was drawn from conversations in an English class at a university in Lhokseumawe, Indonesia, between a lecturer and students and students and students. …”
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The UnconTrust Database for Studies of Unconscious Semantic Processing and Attentional Allocation by Maor Schreiber, Francois Stockart, Liad Mudrik

“…Here, we present the UnconTrust database for studies of unconscious processing focusing on two major domains – semantic and attentional processing. The database allows researchers to explore potential influences and obtain a bird’s eye view on the field with respect to these domains. …”
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Application of Multimedia Semantic Extraction Method in Fast Image Enhancement Control by Yuyang Gao, Ming Chen, Shouqing Du, Guofu Feng

“…In order to solve the problem that it is difficult to effectively enhance the details of the compressed domain and maintain the overall brightness and clarity of the image when improving the image contrast in the current image enhancement method in the compressed domain, a multimedia semantic extraction method is applied in fast image enhancement control. …”
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A Configurable Semantic-Based Transformation Method towards Conceptual Models by Tiexin Wang, Jingwen Cao, Chuanqi Tao, Zhibin Yang, Yi Wu, Bohan Li

“…To improve the efficiency of the building process, this paper proposes a configurable semantic-based (semi-) automatic conceptual model transformation methodology (SbACMT) that tries to reuse existing conceptual models to generate new models. …”
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End-to-End Semantic Leaf Segmentation Framework for Plants Disease Classification by Khalil Khan, Rehan Ullah Khan, Waleed Albattah, Ali Mustafa Qamar

“…This paper proposes an end-to-end semantic leaf segmentation model for plant disease identification. …”
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Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning by Qing An, Xijiang Chen, Xiaoyan Du, Jiewen Yang, Shusen Wu, Ya Ban

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