An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…The proposed model demonstrated better performance on the DFUC-2021 dataset, surpassing existing works and pre-trained CNN architectures with an accuracy of 78.79% and a macro F1-score of 80%.…”
Get full text

Run-Time Value Chain Analysis and Cost Accounting via Microservices in Agile Manufacturing by Salman Javed, Cristina Paniagua, Imran Javed, Jan van Deventer, Jerker Delsing

Get full text

A generative model for evaluating missing data methods in large epidemiological cohorts by Lav Radosavljević, Stephen M. Smith, Thomas E. Nichols

“…Abstract Background The potential value of large scale datasets is constrained by the ubiquitous problem of missing data, arising in either a structured or unstructured fashion. …”
Get full text

Deteksi Spam Berbahasa Indonesia Berbasis Teks Menggunakan Model Bert by Muhammad Basil Musyaffa Amin, Gibran Hakim, Muhammad Taufik Maulana, Muhammad Fajrul Alwan, Hanna Shafira Anggraheni, Muhammad Jilan Naufal, Novanto Yudistira

“…Hasil evaluasi pada percobaan menggunakan dataset SMS dan Email memiliki nilai akurasi sebesar 98% pada model IndoBERT dan 95% pada model MultilingualBERT, yang menunjukkan tingkat akurasi yang tinggi. …”
Get full text

Assessment of Malaysia-wide PM2.5 Forecasts from a Global Model by Zhixian Tan, Mohd Talib Latif, Matthew J. Ashfold

“…We used the surface PM2.5 forecasts from the Copernicus Atmosphere Monitoring Service’s (CAMS) global atmospheric composition forecast dataset (CAMS-GACF) and evaluated them against hourly PM2.5 observations recorded throughout Malaysia from 2018 to 2020 via exceedance and accuracy analyses. …”
Get full text

Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…We then combined the open-source Kvasir-Capsule dataset (n = 43) and locally collected CE data (n = 29). …”
Get full text

The weight-adjusted-waist index predicts all-cause and cardiovascular mortality in hypertension by Yu Zheng, Zixing Nie, Yifan Zhang, Tao Sun

“…BackgroundWeight-adjusted-waist (WWI) is a novel indicator of obesity that reflects the degree of central obesity in the human body.ObjectivesThe study aimed to explore the relationship between WWI and mortality in hypertensive individuals.MethodsCross-sectional data from the 2001–2018 National Health and Nutrition Examination Survey (NHANES) dataset were used in this study. The relationship between WWI and mortality was assessed using a weighted Cox proportional risk model; the nonlinear relationship was explored using restricted cubic splines. …”
Get full text

Socioeconomic disparities in depression risk: Limitations of the moderate effect of physical activity changes in Korea. by Su Kyoung Lee, Yong Jin Kwon

Get full text

ν-point energy correletors with FastEEC: Small-x physics from LHC jets by Ankita Budhraja, Hao Chen, Wouter J. Waalewijn

Get full text

Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM by Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata

“…Leveraging the PTB-XL ECG dataset, we preprocessed the signals to eliminate noise and trained a model integrating 1D convolutional layers with a Bi-directional Long Short-Term Memory (Bi-LSTM) architecture. …”
Get full text

Predicting hydropower generation: A comparative analysis of Machine learning models and optimization algorithms for enhanced forecasting accuracy and operational efficiency by Chunyang Wang, Chao Li, Yudong Feng, Shoufeng Wang

“…Machine Learning techniques such as integrated Gradient Boosting and Categorical Gradient Boosting, optimized with Hunger Games search, Chaos game optimization, and Archimedes Optimization Algorithm algorithms, are used to forecast and optimize hydropower generation. The dataset involved hydropower generation data from 1819 records gathered from a particular watershed. …”
Get full text

Oxytocin Versus Dinoprostone For Labor Induction in Multiparous Women with Unfavorable Cervix by Gul Nihal Buyuk, Umit Yasemin Sert, Zeynep Asli Oskovi Kaplan, Serkan Kahyaoglu

Get full text

Uncovering antidepressant prescription patterns: a three-year analysis of outpatient trends by Hossein Karami, Reza Mehrizi, Mohammad Effatpanah, Azamsadat Rivandi, Rajabali Daroudi, Nezam Armand, Leila Ghamkhar

“…Methods A retrospective cohort study was conducted using prescription data from the Iranian Health Insurance Organization (IHIO) between March 2021 and March 2024. The dataset included 8,924,431 prescriptions from 3,524,273 patients who received at least one ADs. …”
Get full text

Species diversity and catch per unit effort of fish in a perturbed tropical lake, Ibadan, Nigeria by Adedolapo A. Ayoade, Omotolani M. Owolabi, Omolayo T. Patience, Oluwatobi R. Adeduntan, Praise Kujooro

Get full text

Comparison of survival outcomes and anatomically specific severe injuries following traffic accidents among occupants of standard and K-car vehicles: A retrospective cohort study a... by Yuko Ono, Tasuku Uzawa, Jun Sugiyama, Nozomi Tomita, Takeyasu Kakamu, Tokiya Ishida, Joji Kotani, Kazuaki Shinohara

Get full text

Phylogenetic relationships and divergence times of Odonata inferred from mitochondrial genome by Weidong Huang, Tianyou Zhao, Mingyuan Fan, Yuange Duan, Li Tian, Hu Li, Wanzhi Cai, Fan Song

“…Here, we assembled the largest mitogenome dataset to date, comprising 143 mitogenomes representing three suborders, 18 families, of which 53 mitogenomes were newly sequenced. …”
Get full text

Nature-derived microneedles with metal-polyphenolic networks encapsulation for chronic soft tissue defects repair: Responding and remodeling the regenerative microenvironment by Chengyang Zhu, Zun Fan, Zhijie Cheng, Jun Yin, Lei Qin, Xin Zhao

Get full text

Siamese Neural Networks in Unmanned Aerial Vehicle Target Tracking Process by Athraa Sabeeh Hasan Allak, Jianjun Yi, Haider M. Al-Sabbagh, Liwei Chen

“…The recognition accuracy in the fused dataset is 93.12%, with a loss value of less than 0.01, which is superior to YOLOv3, YOLOv4, and traditional YOLOv5 models. …”
Get full text

Deteksi Objek Manusia Pada Citra Menggunakan Single Shot Detector (SSD) Berbasis Edge Computing by Muhammad Iqbal, Dwi Marisa Midyanti, Syamsul Bahri

“…Setiap ESP32-CAM akan menjadi publisher dan edge akan menjadi subscriber. Dataset yang digunakan untuk melatih algoritma SSD berjumlah 1050 data. …”
Get full text

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

“…Evaluated on the KiPA dataset, RenalSegNet achieved remarkable performance, with an average dice score of 86.25%, IOU of 76.75%, Recall of 86.69%, Precision of 86.48%, HD of 15.78 mm, and AVD of 0.79 mm. …”
Get full text