LMSFA-YOLO: A lightweight target detection network in Remote sensing images based on Multiscale feature fusion by Yuanbo Chu, Jiahao Wang, Longhui Ma, Chenxing Wu

“…To address the aforementioned problems, this paper introduces the lightweight multiscale feature fusion and attention-YOLO (LMSFA-YOLO), which is lightweight and accurate for aerial tiny target recognition. …”
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Early PCOS Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection by Khandaker Mohammad Mohi Uddin, Md. Tofael Ahmed Bhuiyan, Md. Mahbubur Rahman, Md. Manowarul Islam, Md Ashraf Uddin

“…The web application features an intuitive interface where users can easily input clinical information and receive immediate risk assessments.…”
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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

“…Although they all had walking problems, the youngest case gained the ability to walk by occupational therapy. …”
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MultiV_Nm: a prediction method for 2′-O-methylation sites based on multi-view features by Lei Bai, Fei Liu, Yile Wang, Junle Su, Lian Liu

“…Aiming at the current problems of unstable performance caused by the use of single features and the need to improve the prediction accuracy of Nm modification sites, this paper proposes MultiV_Nm, a prediction method for Nm sites based on multi-view features. …”
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THE FEATURES OF ADMINISTRATIVE-LAW REGULATION OF COMMERCIAL FISHING IN BAKHCHISARAY CITY IN 1879-1882 YEARS (BASED ON ARCHIVE SOURCES) by VANIEV E.S.

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Embedded feature fusion for multi-label criteria selection via local search strategy and particle swarm optimization by Suhua Chen, Xu Fang, Feng Zhai, Li Wang, Lin Lv

“…These fused features are divided into two categories: those directly associated with the problem class and those that are similar to the problem class but distinct from other feature fusions. …”
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Global–Local Feature Fusion of Swin Kansformer Novel Network for Complex Scene Classification in Remote Sensing Images by Shuangxian An, Leyi Zhang, Xia Li, Guozhuang Zhang, Peizhe Li, Ke Zhao, Hua Ma, Zhiyang Lian

“…While the combination of traditional convolutional neural networks (CNNs) and Transformers has proven effective in extracting features from both local and global perspectives, the multilayer perceptron (MLP) within Transformers struggles with nonlinear problems and insufficient feature representation, leading to suboptimal performance in fused models. …”
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Clinical Aspects, Imaging Features, and Considerations on Bisphosphonate-Related Osteonecrosis Risk in a Pediatric Patient with Osteogenesis Imperfecta by Fábio Wildson Gurgel Costa, Filipe Nobre Chaves, Alexandre Simões Nogueira, Francisco Samuel Rodrigues Carvalho, Karuza Maria Alves Pereira, Lúcio Mitsuo Kurita, Rodrigo Rodrigues Rodrigues, Cristiane Sá Roriz Fonteles

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Electromyography-Based Gesture Recognition With Explainable AI (XAI): Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics by Jungpil Shin, Abu Saleh Musa Miah, Sota Konnai, Shu Hoshitaka, Pankoo Kim

“…Hand gesture recognition using multichannel surface electromyography (sEMG) is challenging due to unstable predictions and inefficient time-varying feature enhancement. To overcome the lack of signal-based time-varying feature problems, we propose a lightweight squeeze-excitation deep learning-based multi-stream spatial-temporal dynamics time-varying feature extraction approach to build an effective sEMG-based hand gesture recognition system. …”
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MbGWO-SFS: Modified Binary Grey Wolf Optimizer Based on Stochastic Fractal Search for Feature Selection by El-Sayed M. El-Kenawy, Marwa Metwally Eid, Mohamed Saber, Abdelhameed Ibrahim

“…GWO showed a good performance in the literature as a meta-heuristic algorithm for feature selection problems, however, it shows low precision and slow convergence. …”
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Contextual Deep Semantic Feature Driven Multi-Types Network Intrusion Detection System for IoT-Edge Networks by Shaho Hassen, Ahmed Abdlrazaq

“…However, being reliant on merely local features its reliability remains suspicious. Such methods ignore long-term dependency problems that limit their efficacy in intrusion detection in temporal Edge-IoT network traffic. …”
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Revealing the Relationship Between Urban Park Landscape Features and Visual Aesthetics by Deep Learning-Driven and Spatial Analysis by Jiaxuan Shi, Lyu Mei, Yumeng Meng, Weijun Gao

“…The Semantic Differential (SD) method was used to get sample subjective landscape features. Meanwhile, sample objective landscape features were obtained by using semantic segmentation techniques in deep learning and combined with spatial analysis to understand their distribution. …”
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Clinical and psychological aspects of pregnancy and features of the course of labor in women with different types of psychological component of gestational dominant by V. M. Astakhov, O. V. Batsylieva, I. V. Puz

“…The aim of the work is to study and analyze the clinical and psychological aspects of pregnancy and features of the course of labor in women with different types of psychological component of gestational dominant (PCGD). …”
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Definition of the Main Features of Material Assemblies for Thermal Protective Clothing During External High-temperature Effect Modelling by Nataliia Ostapenko, Marina Kolosnichenko, Larysa Tretiakova, Tatyana Lutsker, Kalina Pashkevich, Alla Rubanka, Halyna Tokar

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Toward lightweight intrusion detection systems using the optimal and efficient feature pairs of the Bot-IoT 2018 dataset by Erman Özer, Murat İskefiyeli, Jahongir Azimjonov

“…Sixty-six unique feature pairs were generated from the 12 best features. …”
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TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

“…This study addresses the problems of multi-source data redundancy, insufficient feature capture timing, and delayed risk warning in the prediction of gas concentration in fully mechanized coal-mining operations by constructing a three-pronged technical approach that integrates feature dimensionality reduction, hybrid modeling, and intelligent early warning. …”
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Infrared Moving Small Target Detection Based on Spatial–Temporal Feature Fusion Tensor Model by Deyong Lu, Wei An, Haibo Wang, Qiang Ling, Dong Cao, Miao Li, Zaiping Lin

“…In this article, a novel method based on the spatial–temporal feature fusion tensor model is proposed to solve these problems. …”
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Multi-scale aware dual path network for face detection in resource-constrained edge computing environment by Qi QI, Yingxin MA, Jingyu WANG, Haifeng SUN, Jianxin LIAO

“…Aiming at the problem that face detectors with complex deep neural structures are difficult to deploy in the resource-constrained edge computing environment,to reduce the resource consumption while maintain the accuracy in complex scenes such as multi-scale face changes,occlusion,blur,and illumination,SDPN(multi-scale aware dual path network) for face detection was proposed.The Face-ResNet (face residual neural network) was improved,and a dual path shallow feature extractor was used to understand the multi-scale information of the image through parallel branches.Then the deep and shallow feature fusion module,a combination of the underlying image information and the high-level semantic feature,was used in conjunction with the multi-scale awareness training strategy to supervise the multi-branch learning discriminating features.The experimental results show that SDPN can extract more diversified features,which effectively improve the accuracy and robustness of face detection while maintaining the efficiency of the model and low inference delay.…”
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Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…In order to solve these problems, we conducted in-depth research on the terrain feature patterns of DEMs and proposed a DEM super-resolution reconstruction network that is terrain feature-aware, named D-ResDCN. …”
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Temporal record linkage for heterogeneous big data records by Reham I. Abdel Monem, Ehab E. Hassanein, Ali Z. El Qutaany

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