Event co-occurrences for prompt-based generative event argument extraction by Jiaren Peng, Wenzhong Yang, Fuyuan Wei, Liang He, Long Yao, Hongzhen Lv

“…In order to address this issue, we propose Event Co-occurrences Prefix Event Argument Extraction (ECPEAE). …”
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MFA-net: Object detection for complex X-ray cargo and baggage security imagery. by Thanaporn Viriyasaranon, Seung-Hoon Chae, Jang-Hwan Choi

“…First, the multiscale dilated convolutional module converts the standard convolution of the detector backbone to a conditional convolution by aggregating the features from multiple dilated convolutions using dynamic feature selection to overcome the object-scale variant issue. …”
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BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection by Long Guo, Lubin Wang, Qiang Yu, Xiaolan Xie

“…Our proposed backbone, the Lightweight Multi-scale Residual Network (LMRNet), achieves a lightweight network while enhancing the accuracy of small object detection. To address the issue of insufficient fusion of local and global feature information in PANet, we design the Low-stage gather-and-distribute (Low-GD) module and the High-stage gather-and-distribute (High-GD) module to enhance the model’s multi-scale feature fusion capabilities, thereby refining the integration of local and global features of signature marks. …”
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Infrared and Visible Image Fusion via Residual Interactive Transformer and Cross-Attention Fusion by Liquan Zhao, Chen Ke, Yanfei Jia, Cong Xu, Zhijun Teng

“…The network first introduces a residual dense module to extract shallow features from the input infrared and visible images. …”
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Hyper-LKCNet: Exploring the Utilization of Large Kernel Convolution for Hyperspectral Image Classification by Rong Liu, Zhilin Li, Jiaqi Yang, Jian Sun, Quanwei Liu

“…Large kernel convolution provides the inspiration for the above issue. To explore the potential of large kernel convolution, we propose a hyperspectral image (HSI) classification algorithm in this article that utilizes a large kernel convolution module combined with multiscale coattention and an adaptive geometric feature (AGF) classifier, named Hyper-LKCNet. …”
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A deep learning model for early diagnosis of alzheimer’s disease combined with 3D CNN and video Swin transformer by Juan Zhou, Yiming Wei, Xiong Li, Weiqiang Zhou, Ruiyang Tao, Yi Hua, Hongwei Liu

“…The model consists of two components: the first part is a 3D CNN equipped with a 3D Convolutional Block Attention Module (3D CBAM) module, and the second part involves a fine-tuned Video Swin Transformer. …”
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Helmet Detection Device for Motorcycles for Safety Riding Porpuses by Dahlan Abdullah, Badriana Badriana, Misbahul Jannah, Dewi Rahayu, Bambang Setiaji, Cut Ita Erliana

“…Our research employs an Arduino Uno microcontroller and various components, including the NRF24L01 wireless module, Limit Switch, battery, charger module for input, and Arduino Uno, NRF24L01, and Relay for output. …”
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Fusing feature consistency across views for multi-view stereo by Rong Zhao, Caiqin Jia, Xindong Guo, Xiaowen Yang, Huiyan Han, Xie Han

“…This factor has not been adequately considered in previous studies. 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. …”
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Formation of buckling resistance in a transfemoral prosthesis by G. N. Burov, O. L. Belyanin, M. V. Chernikova, V. A. Bol'shakov, A. S. Drobakha

“…In more complex multi-axis module designs, there is a so-called geometric lock. …”
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An Enhanced and Unsupervised Siamese Network With Superpixel-Guided Learning for Change Detection in Heterogeneous Remote Sensing Images by Zhiyuan Ji, Xueqian Wang, Zhihao Wang, Gang Li

“…In this article, we consider the issue of change detection (CD) for heterogeneous remote sensing images. …”
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A novel deep neural network for hidden target detection in images by Rabeb Hendaoui, Vasif Nabiyev

“…Hence, it is hard to ascertain these concealed targets. To address this issue, a novel deep neural network is proposed in this paper that produces an estimated mask within the hidden target for an input image. …”
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Increasing the mass of the cargo party for the account of a rational choice of the transportation tara by Ilesaliev D.I.

“…The parameters of the transport packages formed on standard pallets 1200×1000 mm, 1200×800 mm and the internal dimensions of the covered wagons and containers are not multiples of each other and do not have a common module. In this regard, there is a need to study this issue on a scientific basis. …”
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Design and implementation of online learning assisted intelligent receiver by Lingjin KONG, Kai MEI, Xiaoran LIU, Jun XIONG, Haitao ZHAO, Jibo WEI

“…To address the issue of reliable communication under complicated scenarios, an online learning-assisted intelligent OFDM receiver was proposed.The variations of the channel environment could be precepted by the receiver, and the optimal parameters of the receiver under the current scenario were obtained by collecting data and training online.In the channel estimation module of the OFDM system, a performance comparator based on the mean square error of noisy channel samples was designed as the indicator of channel environment variations.To accelerate the online training progress, a lightweight neural network structure was applied.The proposed method was further implemented and verified based on universal software radio peripherals.The numerical simulation and over-the-air experimental results demonstrate that the proposed receiver can perceive and adapt to new environments effectively, and outperforms existing machine learning methods in terms of receiving performance and convergence rate with a limited number of pilots.…”
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Studyimg methods for controlling the condition of milling machines based on the analysis of vibration characteristics by E.S. Yanov, S.V. Antonychev, A.V. Antsev, M.S. Vorotilin, E.I. Minakov

“…In the context of sanctions pressure, the issue of production intensification has again become relevant. …”

SSM-based detection of rice seedling deficiency by Youran Xia, Zhengtao Zhu, Xiaobin Liu

“…Abstract In large-scale rice cultivation, seedling deficiency is a common issue that significantly impacts timely replanting decisions. …”
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Global context-aware attention model for weakly-supervised temporal action localization by Weina Fu, Wenxiang Zhang, Jing Long, Gautam Srivastava, Shuai Liu

“…This module solves the issue that the model overemphasizes the localized features due to the addition of the MAM. …”
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Attention-based multi-scale convolution and conformer for EEG-based depression detection by Ze Yan, Ze Yan, Ze Yan, Yumei Wan, Xin Pu, Xiaolin Han, Mingming Zhao, Haiyan Wu, Wentao Li, Xueying He, Yunshao Zheng

“…Depression is a common mental health issue, and early detection is crucial for timely intervention. …”
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Sustainable Self-Training Pig Detection System with Augmented Single Labeled Target Data for Solving Domain Shift Problem by Junhee Lee, Heechan Chae, Seungwook Son, Jongwoong Seo, Yooil Suh, Jonguk Lee, Yongwha Chung, Daihee Park

“…The proposed system consists of the following three modules: (1) data collection module; (2) preprocessing module that selects key frames and extracts SLOT data; and (3) domain-adaptive pig detection module that applies DAS to SLOT data to generate optimized augmented data, which are used to train the base model. …”
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Assessing the effects of online educational intervention on pharmaceutical promotions: a pre–post study among medical and pharmacy students in Pakistan by Ali Hassan Gillani, Ali Hassan Gillani, Ali Hassan Gillani, Hafsa Arshad, Hafsa Arshad, Hafsa Arshad, Caijun Yang, Caijun Yang, Caijun Yang, Muhammad Arshed, Naveel Atif, Naveel Atif, Naveel Atif, Kamran Bashir, Hafiz Muhammad Abbas Malik, Yu Fang, Yu Fang, Yu Fang

“…The module was developed by information from the WHO/HAI module on pharmaceutical promotion. …”
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Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once by Jinxin Chen, Luo Liu, Peng Li, Wen Yao, Mingxia Shen, Longshen Liu

“…Specific enhancements include the introduction of a multi-branch Conv2 module to enrich feature extraction capabilities and the adoption of an inverted bottleneck IBCNeck module, which expands the number of channels and incorporates a channel attention mechanism. …”
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