Fusing feature consistency across views for multi-view stereo by Rong Zhao, Caiqin Jia, Xindong Guo, Xiaowen Yang, Huiyan Han, Xie Han

“…To address this issue, we first introduce the color invariance module, which derives a set of object color properties that are independent of illumination and viewpoint from the physics-based reflection model and the RGB-based Gaussian color model. This module highlights consistent feature representations across views. …”
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Multiple-Feature Construction for Image Segmentation Based on Genetic Programming by David Herrera-Sánchez, José-Antonio Fuentes-Tomás, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, José-Luis Morales-Reyes

“…The segmentation is addressed as a pixel classification task; in this way, a wrapper approach is used, and the classification model’s segmentation performance determines the fitness. …”
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Evaluation of Four Semi‐Mechanistic Models for Predicting Glycemic Control With a Glucagon Receptor Antagonist in People With Type 2 Diabetes by Austin Yue Feng Tan, Karen Schneck, Parag Garhyan, Eric Chun Yong Chan, Lai San Tham

“…The FHH and IGRH models featured transit compartments for modeling long delays between glucose and HbA1c. …”
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HuberAIME: A Robust Approach to Explainable AI in the Presence of Outliers by Takafumi Nakanishi

“…With the increasing accuracy of machine-learning models in recent years, explainable artificial intelligence (XAI), which allows for an understanding of the internal decisions made by these models, has become essential. …”
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Phenotype augmentation using generative AI for isocitrate dehydrogenase mutation prediction in glioma by Ha Kyung Jung, Changyong Choi, Ji Eun Park, Seo Young Park, Jae Ho Lee, Namkug Kim, Ho Sung Kim

“…Abstract This study investigated the effects of feature augmentation, which uses generated images with specific imaging features, on the performance of isocitrate dehydrogenase (IDH) mutation prediction models in gliomas. …”
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Intelligent segmentation of Chinese address elements combining textual and spatial semantic features by Xuefeng Yan, An Luo, Jiping Liu, Yong Wang, Ya Zhang

“…The framework leverages the pooled output of the pretrained language model MacBERT to represent the textual semantic features of address elements and introduces a novel full-scale clustering evaluation method (FSCE) to compute the spatial semantic features. …”
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Improving Image Embeddings With Colour Features in Indoor Scene Geolocation by Opeyemi Bamigbade, Mark Scanlon, John Sheppard

“…The results indicate that the integration of colour features improves image embedding, surpassing the performance of using embedding alone. …”
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Scene categorization by Hessian-regularized active perceptual feature selection by Junwu Zhou, Fuji Ren

“…This work presents an advanced selection of multi-channel perceptual visual features for recognizing scenic images with elaborate spatial structures, focusing on developing a deep hierarchical model dedicated to learning human gaze behavior. …”
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SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

“…To address these issues, this study proposes the SDES-YOLO model, an improvement based on YOLOv8. By incorporating a multi-scale feature extraction pyramid (SDFP), occlusion-aware attention mechanism (SEAM), an edge and spatial information fusion module (ES3), and a WIoU-Shape loss function, the SDES-YOLO model significantly enhances fall detection performance in complex scenarios. …”
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Optical Camera Characterization for Feature-Based Navigation in Lunar Orbit by Pierluigi Federici, Antonio Genova, Simone Andolfo, Martina Ciambellini, Riccardo Teodori, Tommaso Torrini

“…The mismodeling of orbital dynamics significantly degrades orbit estimation performance, even in scenarios involving high-performing navigation cameras. …”
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Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images by Taojuan Li, Wen Liu, Mingxian Song, Zheng Gu, Ling Hai

“…Moreover, the parameter count and GFLOPs are reduced by 26.6% and 22.2%, respectively. Thus, the proposed model effectively balances detection performance and lightweight design, making it well-suited for real-time applications on resource-constrained computing devices.…”
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LV-FeatEx: Large Viewpoint-Image Feature Extraction by Yukai Wang, Yinghui Wang, Wenzhuo Li, Yanxing Liang, Liangyi Huang, Xiaojuan Ning

“…Such conditions can result in unreliable feature detection. Consequently, this hinders the performance of vision-based systems. …”
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Co-occurrence feature learning for visual recognition of immature leukocytes by Yi-Ting Hsiao, Si-Wa Chan, Yen-Chieh Ouyang, Ju-Huei Chien

“…DCONN achieves advanced performance based on small-scale models without requiring much training time. …”
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Software Defect Prediction through Neural Network and Feature Selections by Mutasem Shabeb Alkhasawneh

“…To predict the software defect, this study proposed a model consisting of feature selection and classifications. …”
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Multi-Feature Facial Complexion Classification Algorithms Based on CNN by Xiyuan Cao, Delong Zhang, Chunyang Jin, Zhidong Zhang, Chenyang Xue

“…Innovative frameworks of the three algorithms can more effectively exploit facial features, improving the utilization rate of feature information and classification performance. …”
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Cross-Architecture Vulnerability Detection Combining Semantic and Attribute Feature by LI Kun, LI Bin, ZHU Wenjing, ZHOU Qinglei

“…The twin network model based on convolutional neural network is used to generate function-level embedding vectors, in order to extract the features of different spatial hierarchies in different basic blocks and reduce the number of parameters in the neural network. …”
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Feature refinement and rethinking attention for remote sensing image captioning by Yunpeng Li, Chengjin Tao, Meng Liu, Xiangrong Zhang, Guanchun Wang, Tianyang Zhang, Dong Zhao, Dabao Wang

“…Specifically, we firstly construct a feature refinement module by interacting grid-level features using refinement gate. …”
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Machine Learning Models for Predicting Seismic Response of a Novel Two-Stage Friction Pendulum Isolated Bridge Structure by Hanzlah Akhlaq, Tianbo Peng, Kawsu Jitteh, Muhammad Salman Khan

“…Utilizing this extensive dataset, seven ML models were trained and evaluated using statistical key performance indicators (KPIs). …”
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Feature Selection Techniques for Enhancing App User Review Analysis by Amran Salleh, Mohd Hafeez Osman, Sa'Adah Hassan, Mar Yah Said

“…This study addresses this challenge by evaluating the impact of different feature selection techniques on the performance of machine learning models in multi-label classification tasks for app user review analysis. …”
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Aging-Invariant Sheep Face Recognition Through Feature Decoupling by Suhui Liu, Chuanzhong Xuan, Zhaohui Tang, Guangpu Wang, Xinyu Gao, Zhipan Wang

“…This study introduces a lifelong biometric learning (LBL) mechanism to mitigate recognition accuracy degradation caused by dynamic facial feature variations in growing sheep. By designing a feature decoupling network integrated with adversarial age-invariant learning, the proposed method addresses the performance limitations of existing models in long-term individual identification.…”
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