Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records by Mamadou Dia, Ghazaleh Khodabandelou, Syed Muhammad Anwar, Alice Othmani

“…Our proposed model, the multichannel convolutional transformer, integrates the strengths of both convolutional neural networks and transformers. …”
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TOPS-speed complex-valued convolutional accelerator for feature extraction and inference by Yunping Bai, Yifu Xu, Shifan Chen, Xiaotian Zhu, Shuai Wang, Sirui Huang, Yuhang Song, Yixuan Zheng, Zhihui Liu, Sim Tan, Roberto Morandotti, Sai T. Chu, Brent E. Little, David J. Moss, Xingyuan Xu, Kun Xu

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Large-Scale Video Retrieval via Deep Local Convolutional Features by Chen Zhang, Bin Hu, Yucong Suo, Zhiqiang Zou, Yimu Ji

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Multi-scale Logo detection algorithm based on convolutional neural network by Yuchao JIANG, Lixin JI, Chao GAO, Shaomei LI

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Multiscale network alignment model based on convolution of homogeneous multilayer graphs by CUI Jiahao, JIANG Tao, XU Mengyao

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Lightweight malicious domain name detection model based on separable convolution by Luhui YANG, Huiwen BAI, Guangjie LIU, Yuewei DAI

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Fault Identification Model Using Convolutional Neural Networks with Transformer Architecture by Yongxin Fan, Yiming Dang, Yangming Guo

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UHVDC Transmission Fault Location Based on Residual Convolutional Neural Network by LI Ji, ZHANG Xueyou, ZHANG Junjie, SHI Wen, RUAN Wei, DAI Jianfeng

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Reservoir Stochastic Simulation Based on Octave Convolution and Multistage Generative Adversarial Network by Xuechao Wu, Wenyao Fan, Shijie Peng, Bing Qin, Qing Wang, Mingjie Li, Yang Li

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Dual-Path Beat Tracking: Combining Temporal Convolutional Networks and Transformers in Parallel by Nikhil Thapa, Joonwhoan Lee

“…Transformers excel at capturing global, long-range dependencies in sequences, which is valuable for tracking rhythmic patterns over time. Temporal Convolutional Networks (TCNs), with their dilated convolutions, are effective at processing local, temporal patterns with reduced complexity. …”
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Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization by Lei Guo, Yu Han, Haoran Jiang, Xinxin Yang, Xinhua Wang, Xiyu Liu

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Novel similarity calculation method of multisource ontology based on graph convolution network by Liuqian SUN, Yuliang WEI, Bailing WANG

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An anti‐jamming method in multistatic radar system based on convolutional neural network by Jieyi Liu, Maoguo Gong, Mingyang Zhang, Hao Li, Shanshan Zhao

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A social recommendation model based on adaptive residual graph convolution networks by Rui Chen, Kangning Pang, Qingfang Liu, Lei Zhang, Hao Wu, Cundong Tang, Pu Li

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SlidingConv: Domain-Specific Description of Sliding Discrete Cosine Transform Convolution for Halide by Yamato Kanetaka, Hiroyasu Takagi, Yoshihiro Maeda, Norishige Fukushima

“…However, even if a function is optimized and modularized, it is not sufficiently optimized for applications where various pre/post-processing steps are coupled before and after filtering. …”
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A Linear Differentiation Scheme for Camouflaged Target Detection using Convolution Neural Networks by Jagadesh Sambbantham, Gomathy Balasubramanian, Rajarathnam, Mohit Tiwari

“…This makes it tedious to detect target objects post classification. The pattern distributions are monotonous due to similar pixels and non-contrast regions. …”
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SHAP-based convolutional neural network modeling for intersection crash severity on Thailand's highways by Jirapon Sunkpho, Chamroeun Se, Warit Wipulanusat, Vatanavongs Ratanavaraha

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Classifying early apple scab infections in multispectral imagery using convolutional neural networks by Alexander J. Bleasdale, J. Duncan Whyatt

“…Time series analyses revealed that both models could classify apple scab infections earlier than the manual classification techniques, leading to more false-positive assessments, and could accurately distinguish between healthy and infected samples up to 7 days post-inoculation in NIR imagery.…”
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Deep Content-Dependent 3-D Convolutional Sparse Coding for Hyperspectral Image Denoising by Haitao Yin, Hao Chen

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Based on linear systolic array for convolutional neural network’s calculation optimization and performance analysis by Qinrang LIU, Chongyang LIU, Jun ZHOU, Xiaolong WANG

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