SDD-Net: A Steel Surface Defect Detection Method Based on Contextual Enhancement and Multiscale Feature Fusion by Chao Liang, Zi-Zheng Wang, Xiao-Lin Liu, Peng Zhang, Zhi-Wei Tian, Ru-Liang Qian

“…Firstly, this paper proposes a lightweight feature extraction network, which ensures real-time model detection under the premise of fully extracting defect features. …”
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A proficient approach for the classification of Alzheimer’s disease using a hybridization of machine learning and deep learning by Hafiz Ahmed Raza, Shahab U. Ansari, Kamran Javed, Muhammad Hanif, Saeed Mian Qaisar, Usman Haider, Paweł Pławiak, Iffat Maab

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FF-YOLO: An Improved YOLO11-Based Fatigue Detection Algorithm for Air Traffic Controllers by Shijie Tan, Weijun Pan, Leilei Deng, Qinghai Zuo, Yao Zheng

“…This paper proposes FF-YOLO, an improved YOLO11-based deep learning algorithm, to detect ATCO fatigue states through facial feature analysis. A custom dataset comprising 25,154 facial images collected from 10 ATCOs was constructed for model training and validation. …”
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PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy by Ruohua Chen, Ye Li, Dong Liang, Jianjun Liu, Tao Sun

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Prediction of Truck Fuel Consumption Based on Crossformer-LSTM Characteristic Distillation by Kai Du, Qingqing Shi, Jingni Song, Dan Chen, Weiyu Liu

“…To address this issue, a model named Cross-LSTM Multi-Feature Distillation (CLMFD) is proposed. …”
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Developing a Dead Fish Recognition Model Based on an Improved YOLOv5s Model by Chengbiao Tong, Biyu Li, Jiting Wu, Xinming Xu

“…To address the weak feature extraction capabilities of existing convolutional modules for targets, a multi-scale convolutional module (DWMConv) based on depthwise separable convolution is designed, enhancing the detection performance for targets. …”
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Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection by Hanxian Duan, Qian Jiang, Xin Jin, Michal Wozniak, Yi Zhao, Liwen Wu, Shaowen Yao, Wei Zhou

“…However, it is difficult to achieve satisfactory generalization performance in cross-dataset scenarios. In order to improve the cross-dataset detection performance of the model, this paper proposes a multi-feature fusion network based on two-stream extraction and multi-scale enhancement. …”
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Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector by Sana Qadir, Amna Naeem, Mehdi Hussain, Huma Ghafoor, Aisha Hassan Abdalla Hashim

“…Secondly, to enhance efficiency, we explore the use of a GPU-based setup and different feature selection techniques. Lastly, we emphasize sustainability by training the models using apps that date back to the beginning of the Android ecosystem i.e. from 2008 until 2020. …”
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Numerical and experimental analysis of the ballistic performance of soft bulletproof vests for women by Pinkos Justyna, Stempien Zbigniew, Grzegorska Karolina, Kulinska Maria, Smędra Anna

“…This article presents a comprehensive numerical and experimental analysis of the ballistic performance of soft bulletproof vests designed for women. …”
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Data-driven seismic mechanical performance evaluation of RC columns based on adaptive optimization ensemble learning method integrating random forest and back propagation neural ne... by Ayong Jiao, Ziqing Jiao, Bin Gao

“…An improved black-winged kite optimization algorithm (IBKA), based on Levy flight and adaptive t-distribution strategies, is used to optimize the hyperparameters of the base models. Furthermore, to enhance the interpretability of prediction results, the SHAP method is employed for global model interpretation, analyzing the impact of input features (e.g., geometric parameters, material properties, and load characteristics) on seismic mechanical performance. …”
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TYPOLOGY AND FUNCTIONS OF READING PERFORMANCE IN CONTEMPORARY UKRAINIAN CHILDREN’S AND ADOLESCENT LITERATURE by Oleksandra A. Visych, Tetiana V. Mykhalchuk

“…Despite considerable interest in the issue of performativity in contemporary Ukrainian and global literary studies, literature for children and adolescents remains largely understudied regarding the artistic models of reading that are particularly sought after and prominently featured. …”
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The role of inferior frontal junction in controlling the spatially global effect of feature-based attention in human visual areas. by Xilin Zhang, Xilin Zhang, Nicole Mlynaryk, Sara Ahmed, Shruti Japee, Leslie G Ungerleider

“…Feature-based attention has a spatially global effect, i.e., responses to stimuli that share features with an attended stimulus are enhanced not only at the attended location but throughout the visual field. …”
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EGNet: 3D Semantic Segmentation Through Point–Voxel–Mesh Data for Euclidean–Geodesic Feature Fusion by Qi Li, Yu Song, Xiaoqian Jin, Yan Wu, Hang Zhang, Di Zhao

“…This study proposes a novel network, the Euclidean–geodesic network (EGNet), which uses point cloud–voxel–mesh data to characterize detail, contour, and geodesic features, respectively. The EGNet performs feature fusion through Euclidean and geodesic branches. …”
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ALG1-congenital disorder of glycosylation: report of clinical and genetic features of three new cases and review of literature by Faeze Khaghani, Nafiseh Pourbadakhshan, Ehsan Ghayoor Karimiani, Farah Ashrafzadeh, Peyman Eshraghi

“…The protein homology modeling was performed, and the variant effect on hydrogen bonds and protein stability was assessed. …”
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Advanced deep transfer learning techniques for efficient detection of cotton plant diseases by Prashant Johri, SeongKi Kim, Kumud Dixit, Prakhar Sharma, Barkha Kakkar, Yogesh Kumar, Jana Shafi, Muhammad Fazal Ijaz

“…However, other models also show the good performance in terms of precision, recall, and F1 score, with high scores close to 0.98 or 1.00, except for VGG19. …”
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Systematic analysis of structural disorder in the minimal proteome of Mycoplasma pneumoniae by Uberto Pozzoli, Diego Forni, Federica Arrigoni, Alessandra Mozzi, Rachele Cagliani, Luca De Gioia, Manuela Sironi

“…ABSTRACT Mycoplasma pneumoniae (Mpn, class Mollicutes) is both an important human pathogen and a model organism. We performed a proteome-wide investigation of intrinsically disordered regions (IDRs) in Mpn. …”
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Remote sensing image fusion based on real time image smoothing and image similarity by Yanfang Hou, Kaixuan Guo, Xueyan Bi

“…The remote sensing image of urban landscape scenes fused by the hybrid algorithm model, not only had complete spectral information and feature parameters, but also high clarity. …”
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Representation and Abstraction by Antal Jakovác, András Telcs

“…These features represent necessary conditions for performing a task. …”
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MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis by Shengxian Yan, Yuyang Lei, Jing Zhang, Xiao Gao, Xiang Li, Penghui Wang, Hui Cao

“…The proposed architecture enables the model to focus on both local and global information while capturing features at various spatial scales. …”
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Understanding user experience for mobile applications: a systematic literature review by Guoying Lu, Siyuan Qu, Yining Chen

“…Interface elements, interaction styles, and performance enhancements are critical design features that influence MAUX across various scenarios. …”
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