An Evaluation Method of Ship-Tracking Algorithms for High-Frequency Surface Wave Radar considering High Maneuvers Generated by the MMG Model by null Iswandi, Risanuri Hidayat, Sigit B. Wibowo

“…The evaluation results showed that the EKF tracker had a minor error for the linear track with RMSE of absolute position, radial range, bearing angle, and speed being 1.368 km, 0.526 km, 1.550°, and 0.005 m/s, respectively. …”
Get full text

Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution, by Dr.D. Kalpanapriya, Pullooru Bhavana

“…The results highlight the potential of using advanced probabilistic models to enhance decision-making processes in healthcare management, providing a foundation for future research and practical applications in hospital administration. The model demonstrated its efficacy with a predicted New Average Length of Stay (New ALOS) achieving a mean absolute error (MAE) of ±5 ., significantly improving accuracy compared to traditional methods. …”
Get full text

Grouped machine learning methods for predicting rock mass parameters in a tunnel boring machine‐driven tunnel based on fuzzy C‐means clustering by Ruirui Wang, Yaodong Ni, Lingli Zhang, Boyang Gao

“…The average percentage error of uniaxial compressive strength and joint frequency (Jf) of the 30 testing samples predicted by the pure back propagation (BP) neural network is 13.62% and 12.38%, while that predicted by the BP neural network combined with fuzzy C‐means is 7.66% and 6.40%, respectively. …”
Get full text

Parallel VMamba and Attention-Based Pneumonia Severity Prediction from CXRs: A Robust Model with Segmented Lung Replacement Augmentation by Bouthaina Slika, Fadi Dornaika, Karim Hammoudi

“…Key evaluation metrics, including Mean Absolute Error (MAE) and Pearson Correlation (PC), confirm the model’s effectiveness, while the incorporation of segmented lung replacement augmentation further enhances adaptability to diverse lung conditions. …”
Get full text

Performance assessment of sustainable evacuated tube heat pipe solar collector driven seawater desalination system by Manish Sonkar, B. Kiran Naik

“…The humidifier and condenser components were validated individually using data from existing literature, yielding an estimated maximum error of ±12 %. A parametric analysis highlights the impact of the exit temperature from an evacuated tube heat pipe solar collector on the system's performance, showing membrane energy exchange, water condenser energy exchange, and freshwater condensation rate of 0.91 kW/m2, 0.21 kW/m2, and 0.154 L/h-m², respectively, within the specified conditions and operating range. …”
Get full text

Optimization of Thermal and Pressure Drop Performance in Circular Pin Fin Heat Sinks Using the TOPSIS Method by Jemit Adhyaru, Mohan Uma, Vedagiri Praveena, Prabhu Sethuramalingam

“…Analysis of Variance (ANOVA) revealed that inlet flow rate significantly impacts heat sink performance, while polynomial regression models demonstrated strong generalization capabilities, with Root mean square error (RMSE) of 8.92%. These findings provide reliable predictive tools and practical insights for optimizing heat sink designs in electronics cooling applications. …”
Get full text

Improved Variational Mode Decomposition in Pipeline Leakage Detection at the Oil Gas Chemical Terminals Based on Distributed Optical Fiber Acoustic Sensing System by Hongxuan Xu, Jiancun Zuo, Teng Wang

“…Our results demonstrate that this approach can achieve a signal-to-noise ratio of up to 24.15 dB and reduce the mean square error to as low as 0.0027, showcasing its superior capability in noise reduction. …”
Get full text

Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages by Koena Ronny Mabokela, Mpho Primus, Turgay Celik

“…Our results show that the Afro-XLMR model outperforms all other models, achieving an average F1-score of 71.04% across five tested languages, and the lowest error rate among the evaluated models. Additionally, we enhance the interpretability and explainability of the Afro-XLMR model using Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP). …”
Get full text

Adaptive resolution in speckle displacement measurement using optimized grid-based phase correlation and statistical refinement by Hamed Sabahno, Satyam Paul, Davood Khodadad

“…The approach resulted in a relative error reduction of up to 14 % compared to the best of the results obtained using a manually fixed grid size.The proposed sensing methodology is validated through a series of numerical simulations and experimental studies, including controlled deformations with a micrometer translation stage and random speckle displacements on water-sprayed surfaces. …”
Get full text

Kernel Density Estimated Linear Regression by Roshan Kalpavruksha, Rohan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha

“…Using the mean squared error metric, KDLR consistently achieves superior accuracy compared to traditional regression methods. …”
Get full text

Self-Supervised Keypoint Learning for the Geometric Analysis of Road-Marking Templates by Chayanon Sub-r-pa, Rung-Ching Chen

“…We evaluate the method in a synthetic template test set, using metrics such as a keypoint-matching comparison, the Inside Mask Rate (IMR), and the Alignment Reconstruction Error (ARE). The results demonstrate that GeoTemplateKPNet successfully learns to predict meaningful keypoints on template structures, enabling accurate alignment between templates and their transformed counterparts. …”
Get full text

Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models by Mohammad Ennab, Hamid Mcheick

“…The experiments focused on key performance metrics, including interpretability, structural similarity (SSIM), diagnostic precision, mean squared error (MSE), and computational efficiency. The results demonstrate that PLI significantly outperforms Grad-CAM in all measured dimensions. …”
Get full text

Subspace-based local compilation of variational quantum circuits for large-scale quantum many-body simulation by Shota Kanasugi, Yuichiro Hidaka, Yuya O. Nakagawa, Shoichiro Tsutsui, Norifumi Matsumoto, Kazunori Maruyama, Hirotaka Oshima, Shintaro Sato

“…Our estimation suggests that the acceptable physical gate error rate for the LSVQC can be about one order of magnitude larger than that for the Trotterization.…”
Get full text

Grid Impedance Estimation Using Several Short-Term Low Power Signal Injections by M. M. AlyanNezhadi, F. Zare, H. Hassanpour

“…In this paper, our simulation error is additive white Gaussian noise which is considered as a generic measurement noise. …”
Get full text

Using effective subnetworks to predict selected properties of gene networks. by Gemunu H Gunaratne, Preethi H Gunaratne, Lars Seemann, Andrei Török

“…However, since they contain a large number of nodes, the computation of influence networks requires a prohibitively large set of microarray experiments. Furthermore, error estimates of the network make verifiable predictions impossible.…”
Get full text

Evaluating text representations for unsupervised legal semantic textual similarity in Brazilian Portuguese by Daniel da Silva Junior, Daniel de Oliveira, Aline Paes

“…A common task for those experts, which can be tedious and error-prone, is identifying similarities between a specific lawsuit and previous ones (which had a decision). …”
Get full text

Evaluation of monoxide film-based dosimeters for surface dose detection in electron therapy. by Moo Jae Han, Seung Woo Yang, Sang Il Bae, Young Min Moon, Wan Jeon, Chul Won Choi, Sung Kwang Park, Jin Young Kim

“…Therefore, the maximum error of each dosimeter is within the allowable range of 0.1 cm. …”
Get full text

Steel Roll Eye Pose Detection Based on Binocular Vision and Mask R-CNN by Xuwu Su, Jie Wang, Yifan Wang, Daode Zhang

“…Through the ellipse parameter extraction experiment, the maximum deviations in the pixel coordinate system for the center point in the u and v directions were 0.49 and 0.47, respectively. The maximum error in the deflection angle was 0.45°. In the steel coil roll eye position detection experiments, the maximum deviations for the pitch angle, deflection angle, and centroid coordinates were 2.17°, 2.24°, 3.53 mm, 4.05 mm, and 4.67 mm, respectively, all of which met the actual installation requirements. …”
Get full text

Machine vision approach for monitoring and quantifying fish school migration by Feng Lin, Jicheng Zhu, Aiju You, Lei Hua

“…In terms of counting accuracy, DVE-YOLO achieves a lower Mean Squared Error (MSE) compared to YOLOv8+BoTSORT and YOLOv8+ByteTrack, indicating improved counting performance. …”
Get full text

Mitigating Dead Node Impact on Coverage and Connectivity in Wireless Sensor Networks Using a Hybrid Approach by Omeed K. Khorsheed

“…In addition, the rate of connectivity error detection decreases by about 25%, highlighting the method’s effectiveness in dynamic network conditions. …”
Get full text