Multiclass aerial image recognition using improved Black Widow Optimization with deep learning on unmanned aerial networks imaging by Mahmoud Ragab, Bandar M. Alghamdi, Sami Saeed Binyamin, Sultan Algarni, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani

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Statistical Performance Evaluation of the Deep Learning Architectures Over Body Fluid Cytology Images by Ersin Uysal

“…Five different DL architectures (VGG16, VGG19, MobileNet, InceptionV3 and DenseNet121) are evaluated. …”
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Identification of cancerous tissues based on residual neural network by Ying Liu, Xiaoyun Liu, Siyu Gao, Tengfei Chai, Zihao Zhao, Hongwei Wang, Yumeihui Jin, Yueqiu Jiang

“…Additionally, we discuss the impact of varying dataset sizes, training epochs, and tissue thickness on identification accuracy and compare the performance of T-ResNet-18 with ResNet-18, VGG16 and AlexNet, showing that T-ResNet-18 significantly outperforms classic neural networks.…”
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CNN Performance Improvement for Classifying Stunted Facial Images Using Early Stopping Approach by Yunidar Yunidar, Y Yusni, N Nasaruddin, Fitri Arnia

“…The evaluated architectures include MobileNetV2, InceptionV3, VGG19, ResNet18, EfficientNetB0, and AlexNet. …”
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Weed Detection Algorithms in Rice Fields Based on Improved YOLOv10n by Yan Li, Zhonghui Guo, Yan Sun, Xiaoan Chen, Yingli Cao

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The Varied Role of Atmospheric Rivers in Arctic Snow Depth Variations by Haili Li, Chang‐Qing Ke, Xiaoyi Shen, Qinghui Zhu, Yu Cai, Lanhua Luo

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Dual discriminator GAN-based synthetic crop disease image generation for precise crop disease identification by Chao Wang, Yuting Xia, Lunlong Xia, Qingyong Wang, Lichuan Gu

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DBSANet: A Dual-Branch Semantic Aggregation Network Integrating CNNs and Transformers for Landslide Detection in Remote Sensing Images by Yankui Li, Wu Zhu, Jing Wu, Ruixuan Zhang, Xueyong Xu, Ye Zhou

“…This study proposes a dual-branch semantic aggregation network (DBSANet) by integrating ResNet and a Swin Transformer. A Feature Fusion Module (FFM) is designed to effectively integrate semantic information extracted from the ResNet and Swin Transformer branches. …”
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Multichannel Aligned Feature Fusion Method for Salient Object Detection in Optical Remote Sensing Images by Weining Zhai, Liejun Wang, Panpan Zheng, Lele Li

“…RSI-SOD often faces problems such as incomplete structure, missing semantic information, and blurred edges. Our Multilevel Complementary Cooperative Network (MCoCoNet) is capable of balancing semantic and detailed information to reduce noise interference to ensure semantic integrity through feature fusion in a multi-channel aligned manner. …”
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AI-IoT based smart agriculture pivot for plant diseases detection and treatment by Amin S. Ibrahim, Saeed Mohsen, I. M. Selim, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Mohamed Eassa

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Evaluating the Performance of Irrigation Using Remote Sensing Data and the Budyko Hypothesis: A Case Study in Northwest China by Dingwang Zhou, Chaolei Zheng, Li Jia, Massimo Menenti, Jing Lu, Qiting Chen

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EG-VAN: A Global and Local Attention-Based Dual-Branch Ensemble Network With Advanced Color Balancing for Multi-Class Skin Cancer Recognition by Adnan Saeed, Khurram Shehzad, Saim Ahmed, Ahmad Taher Azar

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Parameter Disentanglement for Diverse Representations by Jingxu Wang, Jingda Guo, Ruili Wang, Zhao Zhang, Liyong Fu, Qiaolin Ye

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Multi-Model Attentional Fusion Ensemble for Accurate Skin Cancer Classification by Iftekhar Ahmed, Biggo Bushon Routh, Md. Saidur Rahman Kohinoor, Shadman Sakib, Md Mahfuzur Rahman, Farag Azzedin

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Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis by Ali Tarighatnia, Masoud Amanzadeh, Mahnaz Hamedan, Alireza Mohammadnia, Nader D. Nader

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An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm by Fahd N. Al-Wesabi, Abeer A. K. Alharbi, Ishfaq Yaseen

“…Furthermore, the fusion of feature extraction comprises three methods, EfficientNetB7, CapsNet, and ShuffleNetV2. Furthermore, the SFDAB-ARNNSHO model performs fire detection and classification using stacked two-layer bidirectional long short-term memory with attention mechanism (SBiLSTM-AM) technique. …”
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Diagnosis and detection of bone fracture in radiographic images using deep learning approaches by Theyazn Aldhyani, Zeyad A. T. Ahmed, Bayan M. Alsharbi, Sultan Ahmad, Sultan Ahmad, Mosleh Hmoud Al-Adhaileh, Ahmed Hassan Kamal, Mohammed Almaiah, Jabeen Nazeer

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Investigating a three-dimensional convolution recognition model for acoustic emission signal analysis during uniaxial compression failure of coal by Tao Wang, Zishuo Liu, Liyuan Liu

“…The model exhibited a recall rate of over 98.02% for high-risk samples, effectively capturing spatiotemporal information. DenseNet + GC + SE showed a probability distribution focusing on different risk levels. …”
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Dramatic Response to Ensartinib in Metastatic Neuroendocrine Tumors With a Novel CEP44‐ALK Fusion: A Case Report and Literature Review by Haiyang Chen, Yingxi Wu, Xuan Wu, Kai Wang, Qingxin Xia, Qiming Wang

“…ABSTRACT Neuroendocrine tumor (NET) is a deadly malignancy disease that can be found anywhere in the body. …”
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A semantic segmentation framework with UNet-pyramid for landslide prediction using remote sensing data by Arush Kaushal, Ashok Kumar Gupta, Vivek Kumar Sehgal

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