Bio-Inspired Metaheuristics in Deep Learning for Brain Tumor Segmentation: A Decade of Advances and Future Directions by Shoffan Saifullah, Rafał Dreżewski, Anton Yudhana, Wahyu Caesarendra, Nurul Huda

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CASSC: Context‐aware method for depth guided semantic scene completion by Jinghao Cao, Ming Li, Sheng Liu, Yang Li, Sidan Du

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Simultaneous single image super‐resolution and blind Gaussian denoising via slim ghost full‐frequency residual blocks by Saghar Farhangfar, Aryaz Baradarani, Mohammad Asadpour, Mohammad Ali Balafar, Roman Gr. Maev

“…This paper presents a model for simultaneous super‐resolution and blind additive white Gaussian noise (AWGN) denoising with two components (netdeg and netSR) that is based on a generative adversarial network (GAN) to achieve detailed results. netdeg, featuring residual and innovative cost‐effective ghost residual blocks with a frequency separation module for obtaining long‐range information, blindly restores a clean version of the LR image. netSR leverages slim ghost full‐frequency residual blocks to process low‐frequency (LF) and high‐frequency (HF) information via static large convolutions and pixel‐wise highlighted input‐adaptive dynamic convolutions, respectively. …”
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MSM-TDE: multi-scale semantics mining and tiny details enhancement network for retinal vessel segmentation by Hongbin Zhang, Jin Zhang, Xuan Zhong, Ya Feng, Guangli Li, Xiong Li, Jingqin Lv, Donghong Ji

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FAFTransformer: Multivariate time series prediction method based on multi‐period feature recombination by WenChang Zhang, LuZhi Yuan, Yun Sha, LingLin Yang, XueJun Liu, Yong Yan

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GrotUNet: a novel leaf segmentation method by Hongfei Deng, Hongfei Deng, Bin Wen, Bin Wen, Cheng Gu, Yingjie Fan

“…The former two make full use of the design ideas of GoogLeNet parallel branching and Resnet residual connectivity, while the latter further mines the fine-grained semantic information distributed in the feature space on the feature map after extraction by the WGRblock module to make the feature expression richer. …”
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UCN-YOLOv5: Traffic Sign Object Detection Algorithm Based on Deep Learning by Peilin Liu, Zhaoyang Xie, Taijun Li

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Research on SPAD Inversion of Rice Leaves at a Field Scale Based on Machine Vision and Leaf Segmentation Techniques by Bailin Yue, Yong Jin, Shangrong Wu, Jieyang Tan, Youxing Chen, Hu Zhong, Guipeng Chen, Yingbin Deng

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Multimodal hate speech detection: a novel deep learning framework for multilingual text and images by Furqan Khan Saddozai, Sahar K. Badri, Daniyal Alghazzawi, Asad Khattak, Muhammad Zubair Asghar

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Cluster channel equalization using adaptive sensing and reinforcement learning for UAV communication by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

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Crack Detection on Road Surfaces Based on Improved YOLOv8 by Haiyang Wu, Lingyun Kong, Denghui Liu

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Green Apple Detection Method Based on Multidimensional Feature Extraction Network Model and Transformer Module by Wei Ji, Kelong Zhai, Bo Xu, Jiawen Wu

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Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection by Edeh Michael Onyema, B. Gunapriya, Balasubramanian Prabhu Kavin, Mueen Uddin, Priyan Malarvizhi Kumar, Tehseen Mazhar, Mamoon M. Saeed

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A two-stage HDR reconstruction pipeline for extreme dark-light RGGB images by Yiyao Huang, Xiaobao Zhu, Fenglian Yuan, Jing Shi, U. Kintak, Jingfei Fu, Yiran Peng, Chenheng Deng

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Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning by Alanoud Al Mazroa, Nuha Alruwais, Muhammad Kashif Saeed, Kamal M. Othman, Randa Allafi, Ahmed S. Salama

“…In addition, the SOADL-MCAIC technique employs the Efficient DenseNet model to learn difficult and intrinsic features in the image. …”
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An Improved Backbone Fusion Neural Network for Orchard Extraction by Baiyu Dong, Ziqi Wang, Chongzhi Chen, Ke Wang, Jing Zhang

“…Based on the FSC strategy, we integrated two powerful backbone, ResNet50 and swin transformer, to develop a backbone fusion network (FSRNet) for orchard extraction. …”
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A sorghum seed variety identification method based on image–hyperspectral fusion and an improved deep residual convolutional network by Xu Yang, Yihan Chen, Shaozhong Song, Zhimin Zhang

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Memory‐ and time‐efficient dense network for single‐image super‐resolution by Nasrin Imanpour, Ahmad R. Naghsh‐Nilchi, Amirhassan Monadjemi, Hossein Karshenas, Kamal Nasrollahi, Thomas B. Moeslund

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Security analysis of the RSSP-II protocol and a novel security enhancement approach by FENG Tao, TIE Xiaoping, WU Yi, SHI Jianming

“…To address these security issues, the formal modeling method of colored Petri nets (CPN) was employed to analyze RSSP-Ⅱ, and the existence of security vulnerabilities in it was verified. …”
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GLClick: Interactive Segmentation Combining Global and Local Features by Jiaying Tang, Hongyuan Wang, Zongyuan Ding, Zihao Xin

“…Therefore, we propose GLClick, a global–local click-based interactive image segmentation model that integrates local and global information through a novel fusion mechanism. We design an efficient global–local feature fusion module (GLFM) that integrates fine-grained features from various layers of ResNet50 with those from the Transformer feature pyramid. …”
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