Adverse drug reaction signal detection via the long short-term memory model by Mengqi Cao, Yanna Chi, Jinyang Yu, Yu Yang, Ruogu Meng, Jinzhu Jia, Jinzhu Jia

“…IntroductionDrug safety has increasingly become a serious public health problem that threatens health and damages social economy. …”
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Influence of Oil Temperature of Yaw Damper on Dynamic Performance by XU Tengyang, CHI Maoru, TIAN Xiangyang, GUO Zhaotuan, DAI Liangcheng, KUANG Chengxiao

“…It could be concluded that: oil temperature had a significant influence on dynamic feature of yaw damper, and lower temperature was much more obvious than higher. …”
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HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images by Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Hyun-Soo Kang

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A text classification method based on a convolutional and bidirectional long short-term memory model by Hai Huan, Zelin Guo, Tingting Cai, Zichen He

“…In response to this problem, a text classification method based on the CBM (Convolutional and Bi-LSTM Model) model, which can extract shallow local semantic features and deep global semantic features, is proposed. …”
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A spatially aware global and local perspective approach for few-shot incremental learning by Heng Wu, Zijun Zheng, Laishui Lv, Yifeng Xu, Dalal Bardou, Shanzhou Niu, Gaohang Yu, Yinyin Wang

“…In light of this, in this paper, we propose a Spatially Aware Global and Local Perspectives (SGLP) approach to tackle the few-shot incremental learning problem. To enhance semantic representations of features, we build the relationship information of the spatial feature in the global scope and encourage the model to pay attention to the dominant region in features. …”
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The differentiation of regions by means of the hierarchical method of cluster analysis and environmental data by N. A. Boyko, E. Sh. Sibukaev

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A Novel Tree-Based Combined Test for Seasonality by Karsten Webel, Daniel Ollech

“…Treating the detection of seasonality as a classification problem and the tests’ p-values as correlated predictors, the first step is to identify the most important tests in the ensemble via recursive feature elimination in multiple random forests of such trees; the second step is to grow and prune a single tree based upon information from only these identified tests. …”
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A Multi-Layer Attention Knowledge Tracking Method with Self-Supervised Noise Tolerance by Haifeng Wang, Hao Liu, Yanling Ge, Zhihao Yu

“…In the pre-training stage, MASKT uses a random forest method to filter out positive and negative correlation feature embeddings; then, it reuses noise-processed restoration tasks to extract more learnable features and enhance the learning ability of the model. …”
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Effective Algorithm for Biomedical Image Segmentation by Zhao Di, Tang Yi, A. B. Gourinovitch

“…Objects in medical images have different scales, types, complex backgrounds, and similar tissue appearances, making information extraction challenging. To solve this problem, a module is proposed that takes into account the features of images, which will improve the biomedical image segmentation network FE-Net. …”
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Rapid screening and optimization of CO2 enhanced oil recovery operations in unconventional reservoirs: A case study by Shuqin Wen, Bing Wei, Junyu You, Yujiao He, Qihang Ye, Jun Lu

“…To enhance the interpretability of the established models, the multiway feature importance analysis and Shapley Additive Explanations (SHAP) were proposed to quantify the contribution of individual features to the model output. …”
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Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries by Hisham ElMoaqet, Hamzeh Qaddoura, Mutaz Ryalat, Natheer Almtireen, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Thomas Neumuth, Knut Moeller

“…This study proposes a novel deep learning approach for surgical tool classification based on combining convolutional neural networks (CNNs), Feature Fusion Modules (FFMs), Squeeze-and-Excitation (SE) networks, and Bidirectional long-short term memory (BiLSTM) networks to capture both spatial and temporal features in laparoscopic surgical videos. …”
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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…The problem of inadequate object detection accuracy in complex remote sensing scenarios has been identified as a primary concern. …”
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MONETARY POLICY IN RUSSIA AND INSTITUTIONAL BOUNDARIES OF FINANCIAL SYSTEM by M. Yu. Golovnin, S. A. Nikitina

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Enhancing urban identity through the refined management of architectural styles: insights from Wuhan by Wei Liu, Dong Li, Raffaele Pernice, Yuan Meng, Ruoying Wang, Chuanjie Lu

“…First, the research systematically outlines the diachronic development of architectural features and styles in Wuhan and meticulously analyses the prevailing problems. …”
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Exact makespan minimization of unrelated parallel machines by Åblad, Edvin, Strömberg, Ann-Brith, Spensieri, Domenico

“…We study methods for the exact solution of the unrelated parallel machine problem with makespan minimization, generally denoted as $R||C_\text{max}$. …”
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Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding by Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong

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A Subgradient Extragradient Framework Incorporating a Relaxation and Dual Inertial Technique for Variational Inequalities by Habib ur Rehman, Kanokwan Sitthithakerngkiet, Thidaporn Seangwattana

“…The method integrates a dual inertial extrapolation step, a relaxation step, and the subgradient extragradient technique, resulting in faster convergence than existing inertia-based subgradient extragradient methods. A key feature of the algorithm is its ability to achieve weak convergence without needing a prior guess of the operator’s Lipschitz constant in the problem. …”
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Expert Evaluation of Potential Points of Economic Growth in the Regions of Russia and the Conditions of their Development by A. V. Tihonov, V. S. Bogdanov, A. A. Pochestnev

“…However, there are certain problems that hinder this development and they have been identified. …”
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Development and performance evaluation of a Bengali-adapted mHealth app for early detection of impaired visual acuity by Monzurul Haque, Marzia Zaman, Ashraful Islam, Farhana Sarker, Nahid Ferdausi, Khondaker A. Mamun

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Once a Triple, Not Always a Triple: The Evolution of Hierarchical Triples That Yield Merged Inner Binaries by Cheyanne Shariat, Smadar Naoz, Kareem El-Badry, Antonio C. Rodriguez, Bradley M. S. Hansen, Isabel Angelo, Alexander P. Stephan

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