MMAgentRec, a personalized multi-modal recommendation agent with large language model by Xiaochen Xiao

“…This is a pain point in multimodal recommendation. Addressing these issues presents a significant opportunity for advancement. …”
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Dual-channel Potential Energy Recovery and Load Balancing Methods for Large Hydraulic Excavators by Weiping WANG, Shun LU

“…To verify the above theoretical analysis results, a simulation model including the main pump, energy-recovery module, and mechanical structure was built for a 70-ton large hydraulic excavator, and the simulation results are compared with the experimental results for a single-channel system.Results and Discussions The results show that the proposed system reduces the accumulator volume significantly (by more than 50%), saves installation space, eliminates additional energy loss, and solves handling issues caused by the mismatch between the hydraulic pressure and load force of the accumulator. …”
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SE-Enhancer: Low-Resource Machine Translation Based on Enhanced SimCSE and Layer Fusion by Dongsheng Wang, Qile Bo, Fei Wang, Liming Wang, Kun Tang

“…We first introduced an embed-fusion module to integrate word embeddings and sentence embeddings, thereby enriching the feature representation of source sentences. …”
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LPFFNet: Lightweight Prior Feature Fusion Network for SAR Ship Detection by Xiaozhen Ren, Peiyuan Zhou, Xiaqiong Fan, Chengguo Feng, Peng Li

“…A perception lightweight backbone network (PLBNet) is designed to reduce model complexity, and a multi-channel feature enhancement module (MFEM) is introduced to enhance the SAR ship localization capability. …”
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Vision-Transformer Model Validation Image Dataset by Mathew G. Pelletier, John D. Wanjura, Greg A. Holt

“…The removal of plastic contamination from cotton lint is a critical issue for the U.S. cotton industry. One primary source of this contamination is the plastic wrap used on cotton modules by John Deere round module harvesters. …”
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Wavelet-Driven Multi-Band Feature Fusion for RGB-T Salient Object Detection by Jianxun Zhao, Xin Wen, Yu He, Xiaowei Yang, Kechen Song

“…First, input features are passed through the channel-wise criss-cross module (CCM) for cross-modal information fusion, adaptively adjusting the importance of features to generate rich fusion information. …”
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Two-Branch Filtering Generative Network Based on Transformer for Image Inpainting by Feihan Cao, Qifeng Zhu, Yasheng Chang, Min Sun

“…We specifically incorporate Dual Kernel Filtering Module (DKFM) into an encoder-decoder network. This module utilizes predictive filtering constructed from convolutions to leverage local interactions, while simultaneously employing a transformer architecture with kernels from the predictive network to capture global correlations. …”
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A High-Speed Finger Vein Recognition Network with Multi-Scale Convolutional Attention by Ziyun Zhang, Peng Liu, Chen Su, Shoufeng Tong

“…Existing research primarily focuses on improving recognition accuracy; however, this often comes at the cost of increased model complexity, which, in turn, affects recognition efficiency, making it difficult to balance accuracy and speed in practical applications. To address this issue, this paper proposes a high-accuracy and high-efficiency finger vein recognition model called Faster Multi-Scale Finger Vein Recognition Network (FMFVNet), which optimizes recognition speed through the FasterNet Block module while ensuring recognition accuracy with the Multi-Scale Convolutional Attention (MSCA) module. …”
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An improved hybrid policy optimization method for economic-preference dispatch considering cross time-scales collaboration by Qianli Zhang, Hao Tang, Duanchao Li

“…In this paper, we present an improved DRL algorithm, called distributed partial-modulation proximal policy optimization (DPMPPO), to address this issue. …”
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A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention by Sarita Sahni, Sweta Jain, Sri Khetwat Saritha

“…The channel attention module uncovers interrelationships between variables. …”
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Tilting Pad Thrust Bearing Fault Diagnosis Based on Acoustic Emission Signal and Modified Multi-Feature Fusion Convolutional Neural Network by Meijiao Mao, Zhiwen Jiang, Zhifei Tan, Wenqiang Xiao, Guangchao Du

“…Subsequently, the squeeze-and-excitation (SE) module was employed to reallocate the weights of each channel and fuse the features of multi-channel signals. …”
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Two-Dimensional Coherent Polarization–Direction-of-Arrival Estimation Based on Sequence-Embedding Fusion Transformer by Zihan Wu, Jun Wang, Zhiquan Zhou

“…Additionally, an SEF module was proposed to fuse the spatial-polarization domain features from different dimensions. …”
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Plant Disease Detection and Classification Using Deep Learning Methods: A Comparison Study by Pei-Wern Chin, Kok-Why Ng, Naveen Palanichamy

“…The presence issue of inaccurate plant disease detection persists under real field conditions and most deep learning (DL) techniques still struggle to achieve real-time performance. …”
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Flexi-YOLO: A lightweight method for road crack detection in complex environments. by Jiexiang Yang, Renjie Tian, Zexing Zhou, Xingyue Tan, Pingyang He

“…A Global Attention Module (GAM) is integrated to improve the model's perception of global information. …”
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DDoS-MSCT: A DDoS Attack Detection Method Based on Multiscale Convolution and Transformer by Bangli Wang, Yuxuan Jiang, You Liao, Zhen Li

“…The DDoS-MSCT architecture introduces the DDoS-MSCT block, which consists of a local feature extraction module (LFEM) and a global feature extraction module (GFEM). …”
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…Furthermore, we introduce the Feature Channel Attention module to accurately filter and strengthen pixel features crucial for recovering high-resolution images. …”
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Design and implementation of civil aircraft test database for multi-discipline integration by LI Xinyang, FENG Yunwen, LI Jian, LU Cheng, XIE Yajun, YANG Li

“…The logical relationships between the storage content of various test modules are clarified，then the flight module serving as an example is taken for detailed database module design. …”
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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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Voltage sag assessment method considering low-voltage ride-through of inverter-interfaced distributed generators by Xian-yong Xiao, Gui-shan Song, Wen-Xi Hu, Xin-yue Song

“…However, inadequate analysis of the mutual effect of IIDGs and voltage sags degrades the performance of voltage sag assessment. To address this issue, the current study proposes a voltage sag assessment method considering the LVRT of IIDGs, where voltage sag characteristics are calculated in two modules. …”
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