Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces by Xiuyu Huang, Shuang Liang, Yuanpeng Zhang, Nan Zhou, Witold Pedrycz, Kup-Sze Choi

“…In this paper, we address this issue by proposing a few-shot learning method called temporal episode relation learning (TERL). …”
Get full text

Reducing annotation effort in agricultural data: simple and fast unsupervised coreset selection with DINOv2 and K-means by Laura Gómez-Zamanillo, Laura Gómez-Zamanillo, Nagore Portilla, Artzai Picón, Artzai Picón, Itziar Egusquiza, Itziar Egusquiza, Ramón Navarra-Mestre, Andoni Elola, Arantza Bereciartua-Perez

“…The proposed method is validated by comparing the performance metrics of a multiclass classification model trained on datasets reduced randomly and using the proposed method. …”
Get full text

Impact of a multiple oversampling technique-based assessment framework on shallow rockburst prediction models by Guozhu Rao, Guozhu Rao, Yunzhang Rao, Yunzhang Rao, Yangjun Xie, Qiang Huang, Jiazheng Wan, Jiyong Zhang

“…Initially, genuine rockburst incidents within a burial depth of 500 m were sourced from literature, revealing a small dataset imbalance issue. Utilizing various mainstream oversampling techniques, the dataset was expanded to generate six new datasets, subsequently subjected to 12 classifiers across 84 classification processes. …”
Get full text

Reliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency by Haitham Jahrami, Waqar Husain, Chung-Ying Lin, Gunilla Björling, Marc N Potenza, Amir Pakpour

“…Gaming disorder (GD) is a growing public health issue requiring reliable screening and diagnostic tools. …”
Get full text

Evaluation of swelling-shrinkage of expansive soil based on subjective and objective weighting and efficiency coefficient methods by Chenglin SONG, Daliang ZHANG, Yingchao WANG, Hang XU, Qingli LI

“…Objective Classifying the swelling-shrinkage degree of expansive soil is a critical issue in their management of expansive soil. To prevent and mitigate engineering disasters, accurate evaluation of the swelling-shrinkage for expansive soil is essential. …”
Get full text

Status of temozolomide use without insurance coverage in patients with aggressive pituitary neuroendocrine tumors by Atsushi Ishida, Naoko Inoshita, Noriaki Tanabe, Koji Takano, Hideki Shiramizu, Haruko Yoshimoto, Masataka Kato, Go Matsuoka, Shozo Yamada

“…The 2017 World Health Organization classification described aggressive pituitary neuroendocrine tumor (PitNET) as “a tumor with strong invasiveness and rapid growth, which is difficult to treat with surgery, radiation therapy, or drug therapy,” which remains a challenge in the treatment of pituitary tumors. …”
Get full text

Strategic approaches for the integrated development and utilization of abandoned mines in China in the new era by Furui XI, Jusong SHI, Jinde ZHANG, Deqiang ZHANG, Ruiwen YAN, Wanqiu ZHANG, Gang LIN

“…The development and utilization of abandoned mine resources has become a critical global issue in the fields of resource management, energy security, and environmental sustainability. …”
Get full text

A Review on Phase-Change Materials (PCMs) in Solar-Powered Refrigeration Systems by Yali Guo, Chufan Liang, Hui Liu, Luyuan Gong, Minle Bao, Shengqiang Shen

“…Due to its uneven temporal distribution, it is difficult to ensure continuous 24 h operation when relying solely on solar energy. To address this issue, thermal energy storage technology has emerged as a viable solution. …”
Get full text

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance by Valerie Zermatten, Xiaolong Lu, Javiera Castillo-Navarro, Tobias Kellenberger, Devis Tuia

“…While existing approaches to fight class imbalance mainly focus on image classification, here we propose to address this issue for semantic segmentation with a multiple complementary experts (MCE) structure. …”
Get full text

Factors affecting the decline in statistics department enrollment: A comparative study of statistics department students and twelfth-grade students by Hazhar Talaat Abubaker Blbas, Asma Muhamad Kakil, Zahra Abdulstar Ahmad, Sara Fuad Ahmad

“…Using statistical techniques for data analysis, including factor analysis and classification methods, this study identifies key challenges contributing to the decline in enrollment. …”
Get full text

A large dataset for VEP based brain-computer interfaces employing narrow-band code modulation and frequency-phase modulation by Li Zheng, Sen Tian, Yida Dong, Weihua Pei, Xiaorong Gao, Yijun Wang

“…However, improving the IT R and the practicability is challenging for existing VEP based BCIs due to factors such as the encoding efficiency and the calibration time. To address this issue, this study proposed a new encoding method employing narrow-band random sequences and provided a large dataset for VEP based brain-computer interfaces.Methods Narrow-band random sequences are random sequences with a specific frequency band. …”
Get full text

Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning by Shaheer Khan, Nirban Bhowmick, Azib Farooq, Muhammad Zahid, Sultan Shoaib, Saqlain Razzaq, Abdul Razzaq, Yasar Amin

“…Through deep learning architecture implementations, radiology professionals achieve automated pathological condition detection, segmentation, and classification with improved accuracy. The research tackles a rarely studied clinical medical imaging issue that involves bullet identification and positioning within X-ray images. …”
Get full text

Faculty experiences and perspectives of teaching standardised nursing language to nursing students: an ethnographic research study by Kristi Rannus, Dickon Weir-Hughes

“…Studies across various healthcare settings reveal persistent gaps in nursing documentation, compounded by limited technological support and inadequate backing from colleagues and leadership. These issues compromise patient care quality, service continuity, and information sharing among healthcare professionals. …”
Get full text

Modern approaches to cervical cancer screening (a review) by M. I. Pavliuchenko, Yu. Ya. Krut, V. H. Siusiuka, O. V. Deinichenko

“…Standardization of classifications and terminology in the assessment of cytological, histopathological and colposcopic conclusions will allow to reach an understanding in the issues of optimal management tactics for patients with cervical pathology. …”
Get full text

Path Planning for Fully Autonomous UAVs-A Taxonomic Review and Future Perspectives by Geeta Sharma, Sanjeev Jain, Radhe Shyam Sharma

“…In this study, a novel taxonomy that categorizes UAV path planning into four distinct classifications is introduced. A systematic review of the technological advancements in path planning methodologies, tracking the evolution from classical techniques to cutting-edge solutions, with a particular focus on dynamic environments is also represented. …”
Get full text

Cost-effectiveness of precision medicine in oncology setting in China: protocol for a systematic review and meta-analysis by Qian Jiang, Wenjia Chen, Huan Li, Dongni Zheng, Shunlong Ou

“…In addition, subgroup analyses will be performed according to different cancer types and stages, patient demographics, drug classification and so forth.Ethics and dissemination This study does not involve human or animal subjects, and thus, no ethical approval was required. …”
Get full text

The association of third molars with mandibular incisor crowding in a group of the Yemeni population in Sana’a city: cone-beam computed tomography by Khalid Aldhorae, Ramy Ishaq, Salah Alhaidary, Ashraf Mohammed Alhumaidi, Mohammed M. Al Moaleem, Ghamdan Al. Harazi, Naela Al-Mogahed, Hani Homaid, Sadam Ahmed Elayah

“…However, the role of wisdom teeth in these irregularities remains a controversial issue among clinicians. Therefore, this study aimed to determine the potential association between mandibular incisor crowding and the presence or absence of lower wisdom teeth using CBCT image analysis. …”
Get full text

An Improved YOLOv8 Model for Detecting Four Stages of Tomato Ripening and Its Application Deployment in a Greenhouse Environment by Haoran Sun, Qi Zheng, Weixiang Yao, Junyong Wang, Changliang Liu, Huiduo Yu, Chunling Chen

“…In response to the current challenges, including the unclear segmentation of tomato ripeness stages, low recognition accuracy, and the limited deployment of mobile applications, this study provided a detailed classification of tomato ripeness stages. Through image processing techniques, the issue of class imbalance was addressed. …”
Get full text

Hyperspectral Detection of Pesticide Residues in Black Vegetable Based on Multi-Classifier Entropy Weight Method by Rongchang Jiang, Guoqiang Zhuang, Shijie Xie, Yang Wang, Guoqi Zhang, Dandan Qu, Wanzhi Wen

“…This study addresses the issue of rapid, non-destructive detection of pesticide residues in black vegetable (Brassica narinosa L.H. …”
Get full text

PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir, Muhammad Usama Tanveer, Hasan J. Alyamani, Amine Bermak, Atiq Ur Rehman

“…The ensemble methodology harnesses the complementary strengths of these models, improving feature representation and mitigating overfitting, a prevalent issue in white-box models. To validate the effectiveness of PneuX-Net, we conduct extensive experimentation using a 10-fold cross-validation approach. …”
Get full text