MAMNet: Lightweight Multi-Attention Collaborative Network for Fine-Grained Cropland Extraction from Gaofen-2 Remote Sensing Imagery by Jiayong Wu, Xue Ding, Jinliang Wang, Jiya Pan

“…To address the issues of high computational complexity and boundary feature loss encountered when extracting farmland information from high-resolution remote sensing images, this study proposes an innovative CNN–Transformer hybrid network, MAMNet. …”
Get full text

Intelligent assessment of damage and prediction of seismic damage spectrum under the effect of Near-Fault earthquakes in Iran by R. Fazli, M. Shamekhi Amiri, H. Pahlavan

“…The Park-Ang damage index is used to compute the seismic damage or damage spectra level. …”
Get full text

Delayed reconstructive plastic surgery in patients with tumors of the maxillofacial region: literature review by D. Yu. Azovskaya, D. E. Kulbakin, E. L. Choynzonov, D. N. Vasiliev

“…To determine the features of the delayed reconstructive-plastic stage in patients with malignant tumors maxillofacial region, evaluation of possible solutions for optimizing the stage.Material and methods. …”
Get full text

Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation by Adil Khan, Majid Khan, Waseem Akhtar Khan, Muhammad Ali Afridi, Khawaja Atif Naseem, Ayesha Noreen

“…For this purpose, an advanced ML technique, gene expression programming (GEP), was utilized to predict pile-bearing capacity. GEP is a computational technique that mimics biological gene expression processes to evolve computer programs or models capable of solving complex problems through the iterative generation, selection, and recombination of code segments. …”
Get full text

Arteriovenous malformation that caused prolapse of the colon and was treated surgically in an infant: a case report by Miori Kido, Kiyokuni Nakamura, Tsuyoshi Kuwahara, Yoshitomo Yasui, Hideaki Okajima, Nozomu Kurose, Miyuki Kohno

“…Complete resection is a radical and potentially effective treatment. Computed tomography and colonoscopy were useful for evaluation of the lesion in the present case.…”
Get full text

An improved lightweight tongue segmentation model with self-attention parallel network and progressive upsampling by Xuan Wang, Yifang Cao, Yijia Chen, Huixia Li, Aiqing Han, Yan Tang

“…The model incorporates three key enhancements: (1) the adoption of a Self-Attention Parallel Network that integrates the self-attention mechanism and residual modules to achieve simultaneous extraction of local and global features; (2) the integration of the Efficient Channel Attention(ECA) mechanism into the Mix-FFN component to enhance feature extraction efficiency; and (3) the utilization of Multi-dimensional Feature Progressive Upsampling to mitigate precision loss during the upsampling process. Evaluation results on the BioHit public dataset demonstrate that, compared to the original Segformer, PAPU_TonSeg achieves improvements of 2.42% in Mean Pixel Accuracy (MPA), 0.78% in Mean Intersection over Union (MIoU), and 2.02% in the Dice coefficient, while boasting a lower parameter count and computational complexity. …”
Get full text

Technology-Enabled Active Learning: Assessment of Dentistry Students’ Perception of Digital Prosthodontic Workflow by Navodika Yaparathna, Iresha Udayamalee, Megan Gray, Andrew Cameron, Jane Evans, Menaka Abuzar

“…Implementing changes in stringent and crowded curricula requires meaningful evaluation. The current study aimed to assess the psychometric properties of an adapted Technology-Enabled Active Learning (TEAL) questionnaire on students’ perception of integrating a digital workflow in the undergraduate curriculum, and to evaluate students’ perception of benefits of computer-aided design/computer-aided manufacturing (CAD/CAM) in dentistry. …”
Get full text

Automatic segmentation of chest X-ray images via deep-improved various U-Net techniques by Sedat Orenc, Mehmet Sirac Ozerdem, Emrullah Acar, Musa Yilmaz

“…This study aimed to evaluate the performance of various U-Net-based deep learning architectures for chest X-ray (CXR) segmentation and identify the most effective model in terms of both accuracy and computational efficiency. …”
Get full text

Benchmark Pashto Handwritten Character Dataset and Pashto Object Character Recognition (OCR) Using Deep Neural Network with Rule Activation Function by Imran Uddin, Dzati A. Ramli, Abdullah Khan, Javed Iqbal Bangash, Nosheen Fayyaz, Asfandyar Khan, Mahwish Kundi

“…Computer vision is one of the main branches where machine learning and deep learning techniques are being applied. …”
Get full text

Fast Quality Detection of <i>Astragalus</i> Slices Using FA-SD-YOLO by Fan Zhao, Jiawei Zhang, Qiang Liu, Chen Liang, Song Zhang, Mingbao Li

“…Additionally, the integration of the SD module into the detection head optimizes parameter efficiency while improving detection performance. Performance evaluation highlights the superiority of the FA-SD-YOLO model. …”
Get full text

A new vaccination regimen using adenovirus-vectored vaccine confers effective protection against African swine fever virus in swine by Wenming Liu, Hengchun Li, Bo Liu, Tianxing Lv, Chenchen Yang, Si Chen, Liqiang Feng, Liangxue Lai, Ziyuan Duan, Xinwen Chen, Pingchao Li, Suhua Guan, Ling Chen

Get full text

Imaging features of cecal volvulus complicating a complete common mesentery: A case report by Ayoub Khaled, MD, Nizar El Bouardi, PhD, Zaid Ennasery, MD, Ismail Chaouche, PhD, Hajar Ouazzani Chahdi, PhD, Amal Akammar, PhD, Meriem Haloua, PhD, Badreddine Alami, PhD, Moulay Youssef Alaoui Lamrani, PhD, Meryem Boubbou, PhD, Mustapha Maaroufi, PhD

“…Cross-sectional imaging, especially computed tomography, played a pivotal role in establishing the diagnosis. …”
Get full text

Management of female para-urethral cyst with dyspareunia: a case report by Manoj Kumar Deepak, R. M. Meyyappan, T. Senthil Kumar, J. Saravanan

“…Diagnosis in most instances can be made by physical examination but often a detailed evaluation with ultrasonography, voiding cystourethrogram, computed tomography, or magnetic resonance imaging is needed. …”
Get full text

Efficient k-mer based curation of raw sequence data: application in Drosophila suzukii by Gautier, Mathieu

“…Here, we propose and evaluate a fast and efficient k–mer-based approach to assess the degree of mislabeling or contamination. …”
Get full text

THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…Then, the C-SOLVIS is deployed to be used by several programming lecturers to evaluate its usability by adopting a quantitative method using the System Usability Scale (SUS) questionnaire. …”
Get full text

The structure of the local detector of the reprint model of the object in the image by A. A. Kulikov

“…A special feature of TA is the representation of image sections in a compact form and the evaluation of the parameters of the affine transformation. …”
Get full text

Research on RF Intensity Temperature Sensing based on 1D-CNN by DING Meiqi, GUI Lin, WANG Ziyi, SHANG Disen, QIAN Min, LI Qiankun

“…【Conclusion】1D-CNN has significant advantages in dealing with complex nonlinear relationships and feature extraction, not only superior in computational efficiency and robustness, but also effective in dealing with noise and environmental interference. …”
Get full text

Correlational Analysis of Relationships Among Nodal Powers and Currents in a Power System by Miguel Kosmala Neto, Tomasz Okon, Kazimierz Wilkosz

“…The paper proposes methods for solving Problem I and Problem C, which allow (i) relatively simple detection of regularities in the PS with the provision of their statistical evaluation, which would be difficult or impossible in the case of other methods, and (ii) solving the indicated problems based only on measurement data, and do not require (i) performing flow calculations and (ii) large computational effort. …”
Get full text

A Survey of Visual SLAM Based on RGB-D Images Using Deep Learning and Comparative Study for VOE by Van-Hung Le, Thi-Ha-Phuong Nguyen

“…The studies were surveyed based on the order of methods, datasets, evaluation measures, and detailed results. In particular, studies on using DL to build Visual SLAM and VOE systems have analyzed the challenges, advantages, and disadvantages. …”
Get full text

Cardio-rheumatology: integrated care and the opportunities for personalized medicine by Tania Ruiz Maya, Ashley Ciosek, Tracy Frech, Genessis Maldonado, Kevin Myers, Erin Chew, Justin Baba, Anthony Donato, Deepak Gupta, Laura Ross

“…This review highlights the evolving understanding of SSc heart involvement (SHI), including current standard clinical cardiac evaluation methods, prevalence of various cardiac manifestations of SHI, and advances at the forefront of precision medicine. …”
Get full text