Improved deep learning for automatic localisation and segmentation of rectal cancer on T2‐weighted MRI by Zaixian Zhang, Junqi Han, Weina Ji, Henan Lou, Zhiming Li, Yabin Hu, Mingjia Wang, Baozhu Qi, Shunli Liu

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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

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Adaptive weights learning in CNN feature fusion for crime scene investigation image classification by Liu Ying, Zhang Qian Nan, Wang Fu Ping, Chiew Tuan Kiang, Lim Keng Pang, Zhang Heng Chang, Chao Lu, Lu Guo Jun, Ling Nam

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Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

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A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach by Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi

“…Methods In this study, we proposed a novel OptSHQCNN phishing detection method. Pre-deployment and post-deployment are the two phases of the proposed methodology. …”
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DRGNet: Enhanced VVC Reconstructed Frames Using Dual-Path Residual Gating for High-Resolution Video by Zezhen Gai, Tanni Das, Kiho Choi

“…To address these challenges, this paper proposes a post-processing method based on Convolutional Neural Network (CNN) that improves the quality of VVC-reconstructed frames through deep feature extraction and fusion. …”
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Robust DOA Estimation via a Deep Learning Framework with Joint Spatial–Temporal Information Fusion by Yonghong Zhao, Xiumei Fan, Jisong Liu

“…The CRDCNN employs multi-level cross-residual connections and depthwise separable convolutions to enhance feature diversity while mitigating issues such as gradient vanishing and overfitting. …”
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YOLO-RGDD: A Novel Method for the Online Detection of Tomato Surface Defects by Ziheng Liang, Tingting Zhu, Guang Teng, Yajun Zhang, Zhe Gu

“…With the advancement of automation in modern agriculture, the demand for intelligence in the post-picking sorting of fruits and vegetables is increasing. …”
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Protective Effects of Withania Somnifera Against Cisplatin-Induced Acute Kidney Injury in Rats: A Histomorphometric Analysis by Aaqiba Rasheed, Nadia Younus, Nausheen Jamshed, Lubna Faisal, Naureen Waseem, Rana Muhammad Zeeshan, Omar Shamim

“…There was a decrease in the mean Proximal convoluted tubule count and Proximal convoluted tubule cell count of Cisplatin treated group.  …”
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Fungi-Kcr: a language model for predicting lysine crotonylation in pathogenic fungal proteins by Yong-Zi Chen, Yong-Zi Chen, Xiaofeng Wang, Zhuo-Zhi Wang, Haixin Li, Haixin Li

“…IntroductionLysine crotonylation (Kcr) is an important post-translational modification (PTM) of proteins, playing a key role in regulating various biological processes in pathogenic fungi. …”
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Generative Artificial Intelligence in Media Production. The Emerging Role of Artificial Intelligence Artist in Spain by Sonia Dueñas Mohedas, Francisco Jiménez Alcarria

“… Artificial intelligence (AI) technologies have advanced exponentially in recent years, particularly in machine learning, including convolutional neural networks and generative adversarial networks. …”
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RNA secondary structure prediction by conducting multi-class classifications by Jiyuan Yang, Kengo Sato, Martin Loza, Sung-Joon Park, Kenta Nakai

“…In this study, we propose a simple method by considering RNA secondary structure prediction as multiple multi-class classifications, which eliminates the need for those complicated post-processing steps. Then, we use this method to train and evaluate our model based on the attention mechanism and the convolutional neural network. …”
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A non-anatomical graph structure for boundary detection in continuous sign language by Razieh Rastgoo, Kourosh Kiani, Sergio Escalera

“…To enhance the model performance, replace the handcrafted feature extractor, and also consider the hand structure in these models, we propose a deep learning-based approach, including a combination of the Graph Convolutional Network (GCN) and the Transformer models, along with a post-processing mechanism for final boundary detection. …”
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Post marketing safety assessment of the novel postpartum depression drug, Zuranolone: evidence from real-world pharmacovigilance analysis based on the FDA adverse event reporting s... by Duoqin Huang, Zixin Luo, Xi Gong, Kang Zou, Yu Peng, Shaoying Zeng

“…The primary objective of this study is to assess the post-marketing safety of Zuranolone. This study utilizes the FAERS database to analyze the safety of Zuranolone and provide a reference for clinical safety.MethodsData on Zuranolone were collected from the FAERS database, covering the period from the third quarter of 2023 to the second quarter of 2024. …”
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Application of Minimax Optimization Mechanism in Chinese-English Machine Translation Quality Estimation by Xiaomei Zhang

“…Machine Translation Quality Estimation (MTQE) is pivotal in bridging the gap between machine-generated translations and human translation quality, especially in real-time applications where post-editing is not feasible. Despite advancements with Neural Machine Translation (NMT), challenges such as mistranslation, omissions, and over-translation persist. …”
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Multi-species Fish Identification using Hybrid DeepCNN with Refined Squeeze and Excitation Architecture by Jansi Rani Sella Veluswami, Nivetha Panneerselvam

“…In this study, we have proposed a new method of hybrid Deep Convolutional Neural Network (CNN) along with a Support Vector Machine (SVM) for classification. …”
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PIONet: A Positional Encoding Integrated Onehot Feature-Based RNA-Binding Protein Classification Using Deep Neural Network by Mahmood A. Rashid, Mayank Chaturvedi, Kuldip K. Paliwal

“…Here we present PIONet, a deep learning method based on a convolutional neural network (CNN) that accurately classifies RBPs. …”
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Hybrid feature-time series neural network for predicting ACL forces in martial artists with resistive braces after reconstruction by Dongyue Li, Haojie Li, Yang Hang

“…The goal was to leverage time-series biomechanical parameters and static clinical features to optimize postoperative recovery strategies.MethodsA prospective cohort of 44 martial artists post-ACL reconstruction was randomized into an experimental group (EG, n = 22) using a resistive brace and a control group (CG, n = 22) using a traditional brace. …”
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Enhanced Osteoporosis Detection Using Artificial Intelligence: A Deep Learning Approach to Panoramic Radiographs with an Emphasis on the Mental Foramen by Robert Gaudin, Wolfram Otto, Iman Ghanad, Stephan Kewenig, Carsten Rendenbach, Vasilios Alevizakos, Pascal Grün, Florian Kofler, Max Heiland, Constantin von See

“…Dual-energy X-ray absorptiometry (DXA) scans, the current gold standard, are typically used post-fracture, highlighting the need for early detection tools. …”
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3D-CNN detection of systemic symptoms induced by different Potexvirus infections in four Nicotiana benthamiana genotypes using leaf hyperspectral imaging by Rizos-Theodoros Chadoulis, Ioannis Livieratos, Ioannis Manakos, Theodore Spanos, Zeinab Marouni, Christos Kalogeropoulos, Constantine Kotropoulos

“…Viral infection was verified via northern blot analysis at 5 and 10 days post inoculation (DPI). Hyperspectral images were captured over 10 days following inoculation, focusing on the top 3 leaves where symptoms typically appear. …”
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