Using U-Net models in deep learning for brain tumor detection from MRI scans by Minh Khiem Nguyen, Phuoc Huy Tran, Tan Tai Phan

“…We propose a method employing two U-Net models: ResNeXt-50 and EfficientNet architectures, integrated with a Feature Pyramid Network (FPN) for segmenting brain tumor. …”
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An enhanced machine learning-based prognostic prediction model for patients with AECOPD on invasive mechanical ventilation by Yujie Fu, Yining Liu, Chuyue Zhong, Ali Asghar Heidari, Lei Liu, Sudan Yu, Huiling Chen, Peiliang Wu

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A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural Environments by Jiaxin Yin, Weixia Li, Junhong Shen, Chaoyu Zhou, Siqi Li, Jingchao Suo, Jujing Yang, Ruiqi Jia, Chunli Lv

“…This paper proposes a diffusion-based object detection model that integrates the endogenous diffusion sub-network and the endogenous diffusion loss function to progressively optimize feature distributions, significantly enhancing detection performance for complex backgrounds and diverse disease regions. …”
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The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning by Yanjie Zhan

“…This study integrates Internet of Things (IoT) technology with deep learning algorithms to propose a novel Educational Intelligent Multimodal Optimization System (EIMOS) model. It aims to better address the issues of personalized educational resource recommendation and delayed dynamic response in the talent cultivation model for higher education study tours. …”
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RT-DETR-Pro: An Enhanced RT-DETR Model for Visual Detection of Photovoltaic Module Defects by Yunliang Chen, Mingtao Shan, Wei Zhou, Bing Ma, Xun Mei

“…Firstly, an EMA (Efficient Multi-Scale Attention) module is integrated into the vanilla RT-DETR model to optimize feature representation by reshaping the channel and batch dimensions of feature maps. …”
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Deep learning based model predictive control of active filter inverter as interface for photovoltaic generation by Amin Rasoulian, Hadi Saghafi, Mohammadali Abbasian, Majid Delshad

“…Abstract By increasing the photovoltaic (PV) systems capacity worldwide, the requirement for a fast, reliable, and efficient control system is becoming more crucial. To this end, model predictive control (MPC) is known as one of the potential solutions. …”
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Transcriptomic and proteomic profiling identifies feline fibrosarcoma as clinically amenable model for aggressive sarcoma subtypes by Mikiyo Weber, Daniel Fuchs, Amiskwia Pöschel, Erin Beebe, Zuzana Garajova, Armin Jarosch, Laura Kunz, Witold Wolski, Lennart Opitz, Franco Guscetti, Mirja C. Nolff, Enni Markkanen

“…Development of novel treatment strategies for human adult FSA is hindered by the low incidence and the absence of suitable clinical models. Interestingly, aggressive FSA occur more frequently in domestic cats, hence potentially representing a clinically amenable model to assess novel therapies such as targeted imaging or theranostics. …”
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Deep Learning Models for Multi-Part Morphological Segmentation and Evaluation of Live Unstained Human Sperm by Peiran Lei, Mozafar Saadat, Mahdieh Gol Hassani, Chang Shu

“…For the neck, YOLOv8 performs comparably to or slightly better than Mask R-CNN, suggesting that single-stage models can rival two-stage models under certain conditions. …”
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Detecting AI-Generated Images Using a Hybrid ResNet-SE Attention Model by Abhilash Reddy Gunukula, Himel Das Gupta, Victor S. Sheng

“…The model shows strong generalization, minimal overfitting, and superior performance compared with transformer-based models and standard architectures like ResNet-50, VGGNet, and DenseNet. …”
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Using U-Net models in deep learning for brain tumor detection from MRI scans by Minh Khiem Nguyen, Phuoc Huy Tran, Tan Tai Phan

“…We propose a method employing two U-Net models: ResNeXt-50 and EfficientNet architectures, integrated with a Feature Pyramid Network (FPN) for segmenting brain tumor. …”
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LGLoc as a new language model-driven graph neural network for mRNA localization by Saeedeh Akbari Rokn Abadi, Aref Shahbakhsh, Somayyeh Koohi

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Mesoscopic Structure of Lipid Nanoparticles Studied by Small-Angle X-Ray Scattering: A Spherical Core-Triple Shell Model Analysis by Hao Li, Panqi Song, Yiwen Li, Shuyang Tu, Mehwish Mehmood, Liang Chen, Na Li, Qiang Tian

“…The mesoscopic architecture of these multicomponent systems, which is governed by interactions among ionizable lipids, structural lipids, nucleic acids, and stabilizers, dictates encapsulation efficiency, biodistribution, and therapeutic performance. Although small-angle X-Ray scattering (SAXS) enables nanostructure characterization, the absence of suitable analytical models has hindered LNP development. …”
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Wind Turbine Blade Defect Recognition Method Based on Large-Vision-Model Transfer Learning by Xin Li, Jinghe Tian, Xinfu Pang, Li Shen, Haibo Li, Zedong Zheng

“…However, existing methods often suffer from poor generalization, background interference, and inadequate real-time performance. To overcome these limitations, we developed an end-to-end defect recognition framework, structured as a three-stage process: blade localization using YOLOv5, robust feature extraction via the large vision model DINOv2, and defect classification using a Stochastic Configuration Network (SCN). …”
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A Recognition Method for Marigold Picking Points Based on the Lightweight SCS-YOLO-Seg Model by Baojian Ma, Zhenghao Wu, Yun Ge, Bangbang Chen, He Zhang, Hao Xia, Dongyun Wang

“…Experimental results demonstrate that SCS-YOLO-Seg effectively balances model compression with segmentation performance. …”
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A Hybrid Chatbot Model for Enhancing Administrative Support in Education: Comparative Analysis, Integration, and Optimization by Kanaan Mikael, Cemil Oz, Tarik A. Rashid, Goran Saman Nariman

“…The proposed model employs a Multinomial Naive Bayes classifier to intelligently route user queries to the most appropriate module, ensuring optimized performance across diverse query types. …”
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An Intelligent Fault Diagnosis Model for Rolling Bearings Based on IGTO-Optimized VMD and LSTM Networks by Xianglong Luo, Fengrong Yu, Jing Qian, Biao An, Nengpeng Duan

“…These results demonstrate the model’s excellent diagnostic performance, adaptability to different datasets, and practical applicability for rolling bearing fault diagnosis. …”
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Star-YOLO: A Lightweight Real-Time Wheat Grain Detection Model for Embedded Deployment by Zhihang Qu, Xiao Liang, Sicheng Liang, Xiumei Guo

“…Tests on embedded devices reveal a 36.8% performance enhancement over the baseline model, fulfilling the demands of real-time detection. …”
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DSS-YOLO: an improved lightweight real-time fire detection model based on YOLOv8 by Hongjie Wang, Xiaoyang Fu, Zixuan Yu, Zhifeng Zeng

“…The early stages of a fire, often characterized by small flames, diffuse smoke, and obstructed objects, can lead to challenges such as missed detections and poor real-time performance. To address these issues, we propose a DSS-YOLO model based on an improved YOLOv8n architecture, designed to enhance the recognition accuracy of obscured objects and small targets while reducing computational overhead. …”
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…Then, the DLBITM-AMD approach utilizes the binary grey wolf optimization (BGWO) model to select optimum feature subsets. An improved transformer is integrated with the RNN model and softmax to enhance classification for Android malware recognition. …”
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Improving Circulating Tumor Cell Detection Using Image Synthesis and Transformer Models in Cancer Diagnostics by Shuang Liang, Xue Bai, Yu Gu

“…To effectively utilize both generated and real data, we introduce an improved loss function that includes a regularization term to ensure consistency across different data distributions. Our model demonstrates exceptional performance across five evaluation metrics: accuracy (0.9960), recall (0.9961), precision (0.9804), specificity (0.9975), and mean average precision (<i>mAP</i>) of 0.9400 at an Intersection over Union (IoU) threshold of 0.5. …”
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