DINOV2-FCS: a model for fruit leaf disease classification and severity prediction by Chunhui Bai, Chunhui Bai, Chunhui Bai, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lutao Gao, Lutao Gao, Lutao Gao, Lin Peng, Lin Peng, Lin Peng, Peishan Li, Peishan Li, Peishan Li, Linnan Yang, Linnan Yang, Linnan Yang

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Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning by Cai Chen, Jian Wang, Dong Li, Xiaohu Sun, Jiyong Zhang, Changjiang Yang, Bo Zhang

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MCFNet: Multi-Scale Contextual Fusion Network for Salient Object Detection in Optical Remote Sensing Images by Jinting Ding, Yueqian Quan, Honghui Xu

“…MCFNet incorporates a Semantic-Aware Attention Module (SAM), which provides explicit semantic guidance during feature extraction. …”
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Particle “tolko” in Space of Literary Text (on Works by Boris Vasilyev) by I. N. Tokarchuk

“…It is determined that the principal manifestations of the semantics of restrictiveness (evaluation of a feature as the only one and evaluation of a feature as insignificant, unimportant one) typical to tolko create a database to use particles for creating an image of character, and to express the main ideas in works by Boris Vasilyev. …”
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TOSD: A Hierarchical Object-Centric Descriptor Integrating Shape, Color, and Topology by Jun-Hyeon Choi, Jeong-Won Pyo, Ye-Chan An, Tae-Yong Kuc

“…This paper introduces a hierarchical object-centric descriptor framework called TOSD (Triplet Object-Centric Semantic Descriptor). The goal of this method is to overcome the limitations of existing pixel-based and global feature embedding approaches. …”
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Improving Automatic Coronary Stenosis Classification Using a Hybrid Metaheuristic with Diversity Control by Miguel-Angel Gil-Rios, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, Martha-Alicia Hernandez-Gonzalez, Sergio-Eduardo Solorio-Meza

“…This study proposes a novel Hybrid Metaheuristic with explicit diversity control, aimed at finding an optimal feature subset by thoroughly exploring the search space to prevent premature convergence. …”
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STDNet: Improved lip reading via short-term temporal dependency modeling by Xiaoer Wu, Zhenhua Tan, Ziwei Cheng, Yuran Ru

“…These advancements validate the importance of explicit short-term dynamics modeling for practical lip-reading systems.…”
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MAHGA: Multi-Aspect Heterogeneous Graph Analysis for Harmful Speech Detection on Social Networks by Ryo Yoshida, Soh Yoshida, Mitsuji Muneyasu

“…This study proposes the multi-aspect heterogeneous graph analysis (MAHGA) framework to address these limitations. MAHGA explicitly models different semantic and emotional aspects of social media posts via specialized heterogeneous graphs. …”
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JCN: Joint Constraint-Based Human Pose Refinement Networks by Yuru Zhang, Jiayuan Zhao, Xiaodong Su, Hongyan Xu, Meijian Jin

“…Specifically, we propose Joint Constraint-Based Human Pose Refinement Networks, which explicitly and implicitly model the relationship between critical points through graph neural networks and self-attention mechanisms to capture local and non-local information of the pose features and refine the keypoints responses. …”
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GLIHamba: global–local context image harmonization based on Mamba by Jinsheng SUN, Jiao PAN, Yu GUO, Chao YAO

“…The LFSE preserves the locality of adjacent features in high-dimensional arrays to explicitly ensure consistency among spatially neighboring features along the channels and thereby guarantee the local content integrity and consistency of the harmonization results. …”
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τSQWRL: A TSQL2-Like Query Language for Temporal Ontologies Generated from JSON Big Data by Zouhaier Brahmia, Fabio Grandi, Rafik Bouaziz

“…They are widely used to formally represent temporal data semantics in several applications belonging to different fields (e.g., Semantic Web, expert systems, knowledge bases, big data, and artificial intelligence). …”
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On the role of knowledge graphs in AI-based scientific discovery by Mathieu d’Aquin

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Integrated knowledge graph construction framework for places-of-interest retrieval using a property graph database by Seula Park, Youngmin Lee, Kiyun Yu

“…The graph queries returned a list of POIs that precisely aligned with the requirements of users on not only the explicit attributes of places but also the spatial and semantic features while providing detailed travel route information to these destinations. …”
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Character-Level Adversarial Samples Generation Method Based on Dual-Layer Text Watermark by Houyue Wu, Xianwei Li, Shunxiang Zhang, Honghao Zhu

“…First, we apply character-level gradient optimization to perturb explicit statistical features. Then, we use reinforcement learning to fine-tune semantic and encoding characteristics, guided by feedback from the target model. …”
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Social Media Text Stance Detection Based on Large Language Models by LI Juhao, SHI Lei, DING Meng, LEI Yongsheng, ZHAO Dongyue, CHEN Long

“…Social media texts are often short and evolve rapidly, which poses challenges for traditional stance detection methods due to sparse semantic information and inadequate representation of stance features. …”
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Are baboons learning "orthographic" representations? Probably not. by Maja Linke, Franziska Bröker, Michael Ramscar, Harald Baayen

“…Rather, they make optimal use of low-level information obtained through the massively parallel processing of gradient orientation features. Accordingly, we suggest that reading in humans first involves initially learning a high-level system building on letter representations acquired from explicit instruction in literacy, which is then integrated into a conventionalized oral communication system, and that like the latter, fluent reading involves the massively parallel processing of the low-level features encoding semantic contrasts.…”
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Visualization of a Multidimensional Point Cloud as a 3D Swarm of Avatars by Leszek Luchowski, Dariusz Pojda

“…Our approach combines classical projection techniques with the explicit assignment of selected data dimensions to avatar (facial) features, leveraging the innate human ability to interpret facial traits. …”
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Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification by Tahir Arshad, Bo peng, Ali Rahman, Rahim khan, Sajid Ullah khan, Sultan Alnazi, Nazik Alturki

“…Abstract Efficient extraction of spectral-spatial features is essential for accurate hyperspectral image (HSI) classification, where capturing both local texture and global semantic relationships is critical. …”
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Multi-Scale Contrastive Learning with Hierarchical Knowledge Synergy for Visible-Infrared Person Re-Identification by Yongheng Qian, Su-Kit Tang

“…However, exclusively relying on high-level semantic information from the network’s final layers can restrict shared feature representations and overlook the benefits of low-level details. …”
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MERGE: A Modal Equilibrium Relational Graph Framework for Multi-Modal Knowledge Graph Completion by Yuying Shang, Kun Fu, Zequn Zhang, Li Jin, Zinan Liu, Shensi Wang, Shuchao Li

“…Subsequently, a fusion approach based on low-rank tensor decomposition is adopted to align multiple modal features in both the explicit structural level and the implicit semantic level, utilizing the structural information inherent in the original knowledge graphs, which enhances the interpretability of the fused features. …”
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