Numerical Analysis of the Impact of Variable Borer Miner Operating Modes on the Microclimate in Potash Mine Working Areas by Lev Levin, Mikhail Semin, Stanislav Maltsev, Roman Luzin, Andrey Sukhanov

Get full text

PlutoNet: An efficient polyp segmentation network with modified partial decoder and decoder consistency training by Tugberk Erol, Duygu Sarikaya

“…Although state‐of‐the‐art models are proposed, it remains a challenge to define representations that are able to generalize well and that mediate between capturing low‐level features and higher‐level semantic details without being redundant. …”
Get full text

Unitary and entangling solutions to the parametric Yang–Baxter equation in all dimensions by Arash Pourkia

“…We present a new class of solutions to the parameter-dependent Yang–Baxter equation across all dimensions, which includes a significant subclass of unitary and entangling solutions. …”
Get full text

BCI‐control and monitoring system for smart home automation using wavelet classifiers by Amer Al‐Canaan, Hicham Chakib, Muhammad Uzair, Shuja‐uRehman Toor, Amer Al‐Khatib, Majid Sultan

“…In this study, the design and implementation of the BCI control and monitoring system for smart home automation using wavelet features, which is based upon a dual‐channel analogue EEG signal acquisition module is reported. …”
Get full text

Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

“…Therefore, this work proposes a machine learning-based device modeling algorithm to capture the complex nonlinear relationship between parameters and electrical characteristics of gate-all-around (GAA) nanowire field-effect transistors (NWFETs) from technology computer-aided design (TCAD) simulation results. …”
Get full text

Enhancing mixing efficiency in multi-impeller tanks through innovative CFD and artificial neural network approaches by Reza Beigzadeh, Saber Soltanian, Yousef Azizpour

“…The results show that an optimized design, featuring multiple blades and appropriately selected impeller dimensions and rotational speeds, significantly improves mixing efficiency and uniformity. …”
Get full text

Modelling and verification of parameterized architectures: A functional approach by Salah Merniz, Saad Harous

Get full text

Optimized Machine Learning-Augmented Hybrid Empirical Models for AlGaN/GaN HEMTs: A Comprehensive Analysis by Ahmad Khusro, Saddam Husain, Mohammad Hashmi

Get full text

Role of pre-procedure CCTA in predicting failed percutaneous coronary intervention for chronic total occlusions by Hua Zhou, Xiaojun Fan, Mingyuan Yuan, Wei Wang, Qiyuan Wu

“…Conclusion: Our study demonstrated that combining CCTA and CCA morphologic characteristics could improve PCI outcome prediction in patients with CTO compared to CCTA morphologic features alone.…”
Get full text

CBCT based investigation of furcation groove’s prevalence, depth, length and associated dentin thickness in Maxillary First Permanent Premolars in Saudi Sub-population by Safia S. Shaikh, Muhammad Qasim Javed, Ahmed Ali, Zaina Ahmad, Khawlah Almohimeed, Ayman M. Abulhamael, Ra’fat I. Farah

Get full text

From Image to Sequence: Exploring Vision Transformers for Optical Coherence Tomography Classification by Amirali Arbab, Aref Habibi, Hossein Rabbani, Mahnoosh Tajmirriahi

“…Results: While our model achieves an accuracy of 99.80% on the OCT2017 dataset, its standout feature is its parameter efficiency–requiring only 6.9 million parameters, significantly fewer than larger, more complex models such as Xception and OpticNet-71. …”
Get full text

Straightness monitoring of scraper conveyor based on CUDA-accelerated dynamic programming and optimized panoramic stitching by LI Bo, SHI Shouyi, ZHANG Jianjun, XIA Rui, WANG Xuewen, CUI Weixiu, NI Qiang

“…Feature point matches were calculated using K-nearest neighbors (KNN), with incorrect matches filtered using a threshold ratio. …”
Get full text

GLS-YOLO: A Lightweight Tea Bud Detection Model in Complex Scenarios by Shanshan Li, Zhe Zhang, Shijun Li

“…The model leverages GhostNetV2 as its backbone network, replacing standard convolutions with depthwise separable convolutions, resulting in substantial reductions in computational load and memory consumption. Additionally, the C2f-LC module is integrated into the improved model, combining cross-covariance fusion with a lightweight contextual attention mechanism to enhance feature recognition and extraction quality. …”
Get full text

Using explainable machine learning and eye-tracking for diagnosing autism spectrum and developmental language disorders in social attention tasks by Adoración Antolí, Adoración Antolí, Francisco Javier Rodriguez-Lozano, José Juan Cañas, Julia Vacas, Julia Vacas, Fátima Cuadrado, Fátima Cuadrado, Araceli Sánchez-Raya, Araceli Sánchez-Raya, Carolina Pérez-Dueñas, Carolina Pérez-Dueñas, Juan Carlos Gámez-Granados

Get full text

Evaluation of Variations in Morphology and Morphometry of the Hard Palate Using CBCT Images: A Radio-Surgical Perspective by Melda Pelin Akkitap

Get full text

Integrating deep learning and machine learning for improved CKD-related cortical bone assessment in HRpQCT images: A pilot study by Youngjun Lee, Wikum R. Bandara, Sangjun Park, Miran Lee, Choongboem Seo, Sunwoo Yang, Kenneth J. Lim, Sharon M. Moe, Stuart J. Warden, Rachel K. Surowiec

“…Manually annotated cortical bone was used to train each segmentation deep-learning model. Textural features were extracted via Gray-Level Co-occurrence Matrix (GLCM) and classified as CKD or non-CKD using XGBoost with each segmentation model. …”
Get full text

Dynamic Rupture Simulation Reproduces Spontaneous Multifault Rupture and Arrest During the 2016 Mw 7.9 Kaikoura Earthquake by Ryosuke Ando, Yoshihiro Kaneko

Get full text

Beef Carcass Grading with EfficientViT: A Lightweight Vision Transformer Approach by Hyunwoo Lim, Eungyeol Song

“…Furthermore, we employ Grad-CAM and attention map visualizations to analyze the model’s focus regions and demonstrate that EfficientViT captures holistic contextual features better than CNNs. The model also exhibits robustness across varying loin area proportions. …”
Get full text

Full-process aerosol jet printing modelling: achieving high-fidelity simulation via coupling jetting and deposition by Yufeng Jin, Hao Yi, Huajun Cao, Xianshan Dong

“…Various factors – including printing parameters and ink properties – affect the printing features. …”
Get full text

A detection algorithm for small surface floating objects based on improved YOLOv5s by Xusheng YUE, Jun LI, Yaohong WANG, Penghao ZHU, Zhexing WANG, Xuanhao XU

Get full text