Automated Computer Vision System for Urine Color Detection by Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera

“…In the comparison with the current methods the proposed system has maximum accuracy and minimum error rate. This methodology can pave the way for an additional case study in medical applications, particularly in diagnosis, and patient health monitoring. …”
Get full text

SDKU-Net: A Novel Architecture with Dynamic Kernels and Optimizer Switching for Enhanced Shadow Detection in Remote Sensing by Gilberto Alvarado-Robles, Isac Andres Espinosa-Vizcaino, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes

“…Using the AISD dataset, the proposed method achieved state-of-the-art performance with an Intersection over Union (IoU) of 0.8552, an F1-Score of 0.9219, an Overall Accuracy (OA) of 96.50%, and a Balanced Error Rate (BER) of 5.08%. Comparative analyses demonstrate SDKU-Net’s superior performance against established methods such as U-Net, U-Net++, MSASDNet, and CADDN. …”
Get full text

Vector Field-Based Robust Quadrotor Landing on a Moving Ground Platform by Woohyun Byun, Soobin Huh, Hyeokjae Jang, Suhyeong Yu, Sungwon Lim, Seokwon Lee, Woochul Nam

“…When the moving platform moved at a speed of 2–4.3 m/s, the UAV successfully landed on the platform with a distance error of 0.4 m. Because of the robust detectable region and vector field, the detection was conducted with a high success rate (94.9%).…”
Get full text

Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning by Mohammad Hossein Sarkhosh, Mohammad Hossein Sarkhosh, Hadis Edrisnia, Mohammad Reza Raveshi, Mahkame Sharbatdar

“…Our results indicate that the proposed algorithms can generate results in less than one second, showcasing their suitability for applications in terms of computational efficiency.DiscussionFurthermore, the DL-based predictions demonstrate strong agreement with results from CFD simulations, with a normalized mean absolute error of only 2.53% across various cases.…”
Get full text

Long-Range Distributed Vibration Sensing Based on Phase Extraction From Phase-Sensitive OTDR by Guangyao Yang, Xinyu Fan, Shuai Wang, Bin Wang, Qingwen Liu, Zuyuan He

“…We found that the laser phase noise and phase extraction error caused by the intensity noise in photodetection contribute to the total phase noise. …”
Get full text

CALPHAD-enabled design of metallic glasses with target properties: Gold-based glass for jewellery by Owain S. Houghton, Yurii P. Ivanov, Nikolaos T. Panagiotopoulos, A. Lindsay Greer

“…There is a need to develop new glass-forming systems with excellent intrinsic properties, without a costly and time-intensive trial-and-error approach. A systematic composition-screening method is proposed that is fast and efficient in reducing the vast number of alloy systems to a few that merit detailed study. …”
Get full text

Modeling and Simulation of Eddy Current Dissipation Magnetic Acceleration Noise of Space Inertial Sensors by Pengxuan Li, Zhiyin Sun, Wei Gao, Bingzhang Cao, Yunzhao Li, Liyi Li, Lei Wang

“…Using the parameters of the LPF’s TM, the calculation error of the semi-analytical model is reduced by about 4.64% compared with the approximate analytical model. …”
Get full text

Combination of a Green and a Traditional Method for Estimating Relative and Absolute Ink Age: A Case Study of Ballpoint Pen Ink Dating in Vietnam by Anh Duc Hoang, Minh Binh Tu, Thi Thao Ta, Manh Hung Hoang

“…The combination of the abovementioned methods demonstrated an acceptable error margin, affording highly practical applications in modern forensic science.…”
Get full text

Experimental Demonstration of Continuous Sensor Data Monitoring Using Neural Network-Based Optical Camera Communications by Md. Faisal Ahmed, Moh. Khalid Hasan, Md. Shahjalal, Md. Morshed Alam, Yeong Min Jang

“…The proposed scheme is flicker-free in different frequencies and applicable in both static and mobile scenarios. A neural network is designed for LED detection and improving the bit-error-rate in mobile scenarios. …”
Get full text

An Ultrashort-Term Wind Power Prediction Method Based on a Switching Output Mechanism by Rongqiang Feng, Biheng Wang, Xueqiong Wu, Chenxi Huang, Lei Zhao, Wei Tang, Kun Zhang, Xiaoming Huang, Wei Ding

“…The normalized root mean square error (NRMSE) for the 4 h ahead predicted power reaches 0.0907, which verified the validity and applicability of the proposed model.…”
Get full text

Prediction of Settlement Due to Shield TBM Tunneling Based on Three-Dimensional Numerical Analysis by Ji-Seok Yun, Han-Kyu Yoo, Sung-Pil Hwang, Woo-Seok Kim, Han-Eol Kim

“…Furthermore, the prediction model showed high agreement with the field data, yielding a prediction error of 8.25%. This study emphasizes the applicability of verified numerical modeling for accurately predicting ground settlement in Shield TBM tunneling and provides a reliable approach for settlement prediction under varying construction conditions.…”
Get full text

Dairy Chain Safety in the Context of Antibiotic Residues—Current Status of Confirmatory Liquid Chromatography Methods: A Review by Sandra Dluhošová, Klára Bartáková, Lenka Vorlová, Pavlína Navrátilová, Oto Hanuš, Eva Samková

“…The current trends include the reduction in the consumption of organic solvents (to reduce occupational hazards and burden to the environment) and automation, eliminating the influence of human error and optimizing the workflow. These trends lead to the development of new microextraction and automated techniques as well as the use of new sorbents and/or (green) solvents of natural origin. …”
Get full text

CoPhiEditor: The DSL-Based DSE Methodology within the ERC Advanced Grant 885222-GreekSchools by Simone Zenzaro, Angelo Mario Del Grosso, Federico Boschetti, Graziano Ranocchia

“…Key features of CoPhiEditor include its recursive data model, automatic error-checking and suggestions, automatic TEI-conformant serialization, and advanced collaboration capabilities that streamline teamwork on shared projects. …”
Get full text

An all integer-based spiking neural network with dynamic threshold adaptation by Chenglong Zou, Chenglong Zou, Xiaoxin Cui, Shuo Feng, Guang Chen, Yi Zhong, Zhenhui Dai, Yuan Wang

“…It aims to eliminate the spiking synchronization error commonly occurred in many traditional ANN2SNN conversion works. …”
Get full text

Evaluation of the effect of satellite motion on GNSS-R wind speed retrieval: insights from TRITON by Ming-Yi Chen, Hwa Chien, Hwa Chien, Wen-Hao Yeh, Li-Ching Lin, Yu-Fu Liou

“…By explicitly incorporating Vrel as an input feature, our retrieval model achieves improved wind speed estimation accuracy from TRITON data, reducing root-mean-square error (RMSE) by over 11%. These results underscore the importance of orbital dynamics in GNSS-R applications and position TRITON as a valuable platform for advancing ocean remote sensing capabilities.…”
Get full text

Real-Time Pupil Localization Algorithm for Blurred Images Based on Double Constraints by Shufang Qiu, Yi Wang, Zeyuan Liu, Huaiyu Cai, Xiaodong Chen

“…The experimental results demonstrate that the algorithm exhibits superior localization performance in both blurred and clear images, with a localization error within 6 pixels, an accuracy exceeding 97%, and real-time performance of up to 85 fps. …”
Get full text

Threshold Successive Cancellation Flip Decoding Algorithm for Polar Codes: Design and Performance by Zhicheng Liu, Liuquan Yao, Shuai Yuan, Guiying Yan, Zhiming Ma, Yuting Liu

“…Theoretical analysis reveals that Th-SCF asymptotically delays the first error position (FEP, the first part where the SC decoder fails) with probability 1, ensuring high decoding performance. …”
Get full text

Enhancing the thermal performance of double-pipe heat exchangers using wire coil inserts: A focused review by Saif Ali Kadhim, Rassol Hamed Rasheed, Karrar A. Hammoodi, Ali M. Ashour, Farhan Lafta Rashid, Muntadher Mohammed Ali Saeed, Abdallah Bouabidi, Shahin Shoeibi, Walid Aich, Mustafa M. Hasan

“…Numerical simulations using the SST k-ω turbulence model showed strong agreement with experimental data, with prediction errors under ±10 %. The review critically compares enhancement techniques, evaluates computational fluid dynamics modeling approaches, and identifies gaps in hybrid insert applications use and outer tube design. …”
Get full text

Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

“…Mental health prediction systems based on NLP and wearable data delivered up to 91% accuracy in stress and depression detection, while hospital resource forecasting models using deep learning minimized errors in predicting emergency admissions. Ethically, this review surfaces critical issues, including algorithmic bias, data privacy concerns in mental health analytics, and the interpretability of black-box models used in outbreak surveillance. …”
Get full text

Behaviour of post-tensioned benches made of high-content recycled aggregate concrete reinforced with racquet string fibres by Narakorn Suwannachote, Thanongsak Imjai, Fetih Kefyalew, Radhika Sridhar, Reyes Garcia, U. Johnson Alengaram, Sivakumar Naganathan

“…Finite element analyses of the RAC benches with PTMS were carried out in Abaqus®, and the experimental deflections agreed well (errors <5%) with the FEM results. A simplified fatigue life analysis confirmed that the RAC benches with PTMS can have a potential service life of up to 20 years. …”