General Checking Calculation of Shaving Cutter by Gao Min, Zhang Jinghua

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A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography by Sule Erdem, Suheda Erdem, Muammer Turkoglu, Abdulkadir Sengur, Nebras M. Sobahi

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Enhancing early lung cancer detection with MobileNet: A comprehensive transfer learning approach by Raquel Ochoa-Ornelas, Alberto Gudiño-Ochoa, Julio Alberto García-Rodríguez, Sofia Uribe-Toscano

“…To enhance the model’s generalization capabilities, we augmented the widely used LC25000 dataset with additional histopathological images sourced from the National Cancer Institute. …”
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LMF-Net: A Learnable Multimodal Fusion Network for Semantic Segmentation of Remote Sensing Data by Jihao Li, Wenkai Zhang, Weihang Zhang, Ruixue Zhou, Chongyang Li, Boyuan Tong, Xian Sun, Kun Fu

“…Experiments on two well-established benchmark datasets reveal that our LMF-Net possesses superior segmentation behavior and strong generalization capability. …”
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Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching by Mingyue Tan, Jiming Li, Xiangqian Chen, Xuezhen Cheng

“…To improve the reliability of power grid fault diagnosis by enhancing the processing ability of uncertain information and adequately utilizing the alarm information about power grids, a fault diagnosis method using intuitionistic fuzzy Petri Nets based on time series matching is proposed in this paper. …”
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m_AutNet–A Framework for Personalized Multimodal Emotion Recognition in Autistic Children by Asha Kurian, Shikha Tripathi

“…These outbreaks lead to immense physical and emotional distress in children with autism. Generalized emotion recognition classifiers cannot handle the variations in the prototypical display of affect experienced by ASD children. …”
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A proposed general model of information behaviour. by <Barbara Nied&#378;wiedzka

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The use of BirdNET embeddings as a fast solution to find novel sound classes in audio recordings by Slade Allen-Ankins, Sebastian Hoefer, Jacopo Bartholomew, Sheryn Brodie, Lin Schwarzkopf

“…Here, we demonstrate how the embeddings from the large acoustic model BirdNET can be used to quickly and easily find new sound classes outside the original model’s training set. …”
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Automatic detection of concrete cracks from images using Adam-SqueezeNet deep learning model by Lin Wang

“…These techniques, however, are generally susceptible to user-driven heuristic thresholds and irrelevant distractors. …”
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RecNet: Reinforcement Common Feature Mapping Network for Fast Template Matching in Visible-LWIR Images by Donyung Kim, Seungeon Lee, Inho Park, Geonjong Kim, Sungho Kim

“…Additional evaluations using KAIST nighttime imagery and the M3FD dataset verify RecNet&#x2019;s generalization capabilities and stability across diverse scenes and conditions, while also identifying limitations and future research directions.…”
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Fault Detection Method Based on Improved Faster R-CNN: Take ResNet-50 as an Example by Xie Renjun, Yuan Junliang, Wu Yi, Shu Mengcheng

“…Faster R-CNN realizes end-to-end training, combines the advantages of ResNet-50 and Faster R-CNN, and has a precise positioning efficiency. …”
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Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity by Pengyan Zhang, Yanyan Li, Wenlong Jing, Dan Yang, Yu Zhang, Ying Liu, Wenliang Geng, Tianqi Rong, Jingwen Shao, Jiaxin Yang, Mingzhou Qin

“…The NPP exhibited a generally increasing trend in the study area except for built-up land and water area. …”
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RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans by Rashid Khan, Chao Chen, Asim Zaman, Jiayi Wu, Haixing Mai, Liyilei Su, Yan Kang, Bingding Huang

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RvXmBlendNet: A Multi-architecture Hybrid Model for Improved Skin Cancer Detection by Farida Siddiqi Prity, Ahmed Jabid Hasan, Md Mehedi Hassan Anik, Rakib Hossain, Md. Maruf Hossain, Sazzad Hossain Bhuiyan, Md. Ariful Islam, Md Tousif Hasan Lavlu

“…A comparative study between the proposed hybrid "RvXmBlendNet" and individual models (CNN, ResNet50, VGG19, Xception, and MobileNet) demonstrated that "RvXmBlendNet" achieved the highest accuracy of 98.26%, surpassing other models. …”
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Application of fuzzy logic in decision-making process for relocation of floating net cages in river fish farming by R. Pramana, B.Y. Suprapto, Z. Nawawi

“…Meanwhile, the program output recommends floating net cage owners to either "Stay in position" or "Move." …”
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Gastroenteropancreatic Neuroendocrine Neoplasia Characterization in Portugal: Results from the NETs Study Group of the Portuguese Society of Endocrinology, Diabetes and Metabolism by A. P. Santos, J. Vinagre, P. Soares, I. Claro, A. C. Sanches, L. Gomes, I. Fernandes, A. L. Catarino, J. Preto, B. D. Pereira, A. P. Marques, F. Rodrigues, C. Amaral, G. Rocha, J. C. Mellidez, H. Simões, J. M. Lopes, M. J. Bugalho, On behalf of the NETs Study Group of the Portuguese Society of Endocrinology, Diabetes and Metabolism

“…Stratified by the tumour grade (WHO 2010 classification), we observed 64.0% of NET G1, 24.7% of NET G2, and 11.3% of NEC. Poorly differentiated tumours occurred mainly in older patients (p=0.017), were larger (p<0.001), and presented more vascular (p=0.004) and lymphatic (p=0.001) invasion. …”
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LEAF-Net: A Unified Framework for Leaf Extraction and Analysis in Multi-Crop Phenotyping Using YOLOv11 by Ameer Tamoor Khan, Signe Marie Jensen

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Performance Analysis of MobileNetV3-based Convolutional Neural Network for Facial Skin Disorder Classification by Herimanto, Arie Satia Dharma, Junita Amalia, David Largo, Christin Adelia Pratiwi Sihite

“…Data augmentation techniques likely increased the dataset's diversity, which helps improve the model's generalization ability. The data underwent preprocessing, including rescaling, before being applied to two deep learning models, CNN and MobileNetV3. …”
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ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules’ malignancy by Xiaoxue Wang, Yupeng Niu, Hongli Liu, Fa Tian, Qiang Zhang, Yimeng Wang, Yeju Wang, Yijia Li

“…To address this challenge, this study proposes a novel deep learning model, ThyroNet-X4 Genesis, designed to automatically classify thyroid nodules as benign or malignant. …”
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DSMF-Net: Dual Semantic Metric Learning Fusion Network for Few-Shot Aerial Image Semantic Segmentation by Xiyu Qi, Yidan Zhang, Lei Wang, Yifan Wu, Yi Xin, Zhan Chen, Yunping Ge

“…Inspired by human ability to learn rapidly, few-shot semantic segmentation offers a promising solution by utilizing limited labeled data for efficient model training and generalization. However, the intrinsic complexities of aerial images, compounded by scarce samples, often result in inadequate feature representation and semantic ambiguity, detracting from the model&#x0027;s performance. …”
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