Enhancing Mirror and Glass Detection in Multimodal Images Based on Mathematical and Physical Methods by Jiyuan Qiu, Chen Jiang

“…Furthermore, we propose a double weight Mamba fusion network (DWMFNet) that strengthens the model’s global perception of image information by extracting low-level clue weights and high-level contextual weights from the input data using the prior fusion feature extraction module (PFFE) and the deep fusion feature guidance module (DFFG). …”
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THE INFLUENCE OF THE DAILY FLUCTUATIONS OF OUTSIDE AIR TEMPERATURE ON THE INDOOR CLIMATE by A. E. Zakharevich

“…The design features of building structures and windows are considered. …”
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Predicting Imminent Conversion to Exudative Age-Related Macular Degeneration Using Multimodal Data and Ensemble Machine Learning by T.Y.Alvin Liu, MD, Yuxuan Liu, MS, Madeleine S. Gastonguay, BS, Dan Midgett, PhD, Nathanael Kuo, PhD, Yujie Zhao, Kareef Ullah, Gwyneth Alexander, Todd Hartman, Neslihan D. Koseoglu, MD, Craig Jones, PhD

“…For the multilayer perceptron (MLP) framework, the trained ResNet-50 model was used as the feature encoder, and a downsampled feature vector concatenated with corresponding clinical tabular data was passed through the MLP (prediction head). …”
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Approach to Semantic Visual SLAM for Bionic Robots Based on Loop Closure Detection with Combinatorial Graph Entropy in Complex Dynamic Scenes by Dazheng Wang, Jingwen Luo

“…Then, a high-quality keyframe selection strategy is constructed by combining the semantic information, the average coordinates of the semantic objects, and the degree of variation in the dense region of feature points. Subsequently, the unweighted and weighted graphs of keyframes are constructed according to the distribution of feature points, characterization points, and semantic information, and then a high-performance loop closure detection method based on combinatorial graph entropy is developed. …”
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RS-SCBiGRU: a noise-robust neural network for high-speed motor fault diagnosis with limited samples by Sun Fenghao, Li Guofa, He Jialong, Liu Shaoyang

“…Specifically, this paper designs an innovative data augmentation technique that effectively expands the diversity and coverage of the training dataset and is seamlessly integrated into the fault diagnosis model. Furthermore, to enhance the richness of feature representations and strengthen information exchange between different feature channels, this paper proposes a frequency-adaptive convolutional layer (SCNET), which significantly optimizes the performance of Bidirectional Gated Recurrent Units (BiGRU) in fault feature extraction. …”
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Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM. by Xiangjuan Liu, Yunlong Li, Fengtong Wang, Yujie Qin, Zhongyu Lyu

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”
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Prediction of risk for early or very early preterm births using high-resolution urinary metabolomic profiling by Yaqi Zhang, Karl G. Sylvester, Ronald J. Wong, Yair J. Blumenfeld, Kuo Yuan Hwa, C. James Chou, Sheeno Thyparambil, Weili Liao, Zhi Han, James Schilling, Bo Jin, Ivana Marić, Nima Aghaeepour, Martin S. Angst, Brice Gaudilliere, Virginia D. Winn, Gary M. Shaw, Lu Tian, Ruben Y. Luo, Gary L. Darmstadt, Harvey J. Cohen, David K. Stevenson, Doff B. McElhinney, Xuefeng B. Ling

“…Results 12 metabolites associated with PTB were selected and identified for modelling among 7,913 metabolic features in serial-collected urine samples of pregnant women. …”
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THE MEANINGS, PURPOSE AND FUNCTION OF THE CONTEMPORARY RUSSIAN GRADUATE SCHOOL: PROBLEM ANALYSIS by Sergey Bobryshov, Natalia Dzhegutanova

“…The article deals with various aspects of understanding of the modern model of the Russian postgraduate school as a level of higher education. …”
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Independent influence of type 2 diabetes on reduced cardiopulmonary fitness in patients after percutaneous coronary intervention: a cross-sectional study by Yutao Liu, Nan Li, Suhui Zhang, Yan Feng, Ying Zhang, Yong Shao, Jiahui Wu

“…A multivariable regression model was used to evaluate the independent effect of T2DM on CRF, adjusting for confounding factors such as demographic features, physical activity level, duration of diabetes, time since index PCI, and residual comorbidities. …”
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Evaluating the role of training data origin for country-scale cropland mapping in data-scarce regions: A case study of Nigeria by Joaquin Gajardo, Michele Volpi, Daniel Onwude, Thijs Defraeye

“…A key challenge is understanding how the quantity, quality, and proximity of the training data to the target region influences model performance in regions with limited local ground truth. …”
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On the Transmission of COVID-19 and Its Prevention and Control Management by Pinhong Zeng

“…Then, analysis was performed on the epidemiological features such as the transmission time and epidemic peak and the epidemic trend was evaluated. …”
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Coordinating the Redundant DOFs of Humanoid Robots by Pietro Morasso

“…Moreover, the model is expanded to include dynamic constraints associated with the Lagrangian dynamics of the humanoid robot to improve the energetic efficiency of the generated actions.…”
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Craniofacial Reconstruction of a 4000-year-old Human Skull by Lyu Tu, Li Shiwei, Li Caixia, Wei Xingtao, Zhang Jiaxin, Xu Ran, Bai Zhixin, Ji Yuan, Zhao Dong

“…Traditional steps, such as sculpturing of the facial soft tissues, and facial features, and the creation of a cast skull model, were still essential for the complete outcome. …”
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Autologous Dendritic Cell Vaccine Optimization for Therapy of Patients with Disseminated Malignant Ne by T. L. Nehaeva

“…Immunobiological features of the dendritic cells (DC) were studied for the production of DC-vaccine (DCV) optimization. …”
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Incorporating Multimodal Directional Interpersonal Synchrony into Empathetic Response Generation by Jingyu Quan, Yoshihiro Miyake, Takayuki Nozawa

“…This demonstrates that these features are successfully integrated into the models. …”
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Feminizam i žene beat-generacije by Damir Španić

“…Today, however, it is crystal clear that the literature of the Beats, even with its distinct misogynistic features, had strong influence on several generations of women writers and artists who have written and performed within the feminist frame. …”
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An Improved Backbone Fusion Neural Network for Orchard Extraction by Baiyu Dong, Ziqi Wang, Chongzhi Chen, Ke Wang, Jing Zhang

“…However, different backbone networks exhibit varying capabilities and characteristics in feature extraction, limiting the performance of a single backbone model. …”
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Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data by Tongtong Jin, Ayitijiang· Halili

“…The SHAP framework was employed to interpret feature contribution mechanisms.ResultsResults demonstrated that the HistGBM model achieved optimal overall performance on the testing sets (AUC = 0.779, F1-score = 0.735, accuracy = 0.713), with only an 8.5% AUC difference between training and testing sets and a 10% difference between external validation and testing sets, indicating temporal stability. …”
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Exploring the heterogeneity of osteosarcoma cell characteristics and metabolic states and their association with clinical prognosis by Sen Qin, YaoFeng Hu, RuCui Deng, Zhe Wang

“…Ultimately, we performed a thorough examination of the model, which encompassed clinical and pathological characteristics, enrichment analysis, pathways associated with cancer markers, and scores of immune infiltration, highlighting notable and complex disparities between high-risk and low-risk populations.ConclusionThis research clarifies the molecular mechanisms and metabolic features associated with osteosarcoma and how they relate to patient outcomes, offering novel perspectives and approaches for targeted therapy and prognostic assessment in osteosarcoma.…”
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Uncovering the Efficacy and Mechanism of Zhenwu Decoction for Hypothyroidism Based on Non-Targeted Metabolomics by Wang Y, Li Y, Tang M, Zhang L, Zhu S

“…Multidimensional validation (including phenotypic monitoring, ELISA for FT4/TSH, and HE staining) was performed to confirm the successful establishment of the model and to evaluate the therapeutic efficacy of Zhenwu Tang (ZW). …”
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