Relationship-Based Ambient Detection for Concrete Pouring Verification: Improving Detection Accuracy in Complex Construction Environments by Seungwon Yang, Hyunsoo Kim

“…However, traditional monitoring methods face limitations such as overlapping objects, environmental similarities, and detection errors caused by ambiguous boundaries. This study proposes an Ambient Detection-based Monitoring Framework that enhances object detection by incorporating contextual relationships between objects in complex construction environments. …”
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Addressing High Nursing Turnover: Analysis of Theoretical Concepts and Case Study by Josuhe Neri

“…Secondly, medical institution is described (shortage of medical staff leads to a decrease in patient satisfaction, loss of care quality, increased waiting time for services, review of safety and patient care protocols, reduction in the number of patients who can receive medical care or consultation, which causes a decrease in hospital revenue, hinders organisational growth, raises the cost of additional recruitment, leads to medical errors that turn into lawsuits in future, etc.). …”
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Study of causes for neck contraction of gas injection-production well in salt cavern gas storage and its preventive and remedial measures by Zhaoheng ZHOU, Yuxing LI, Min LIN, Hongshuai GUO, Jianfu WANG

“…They experienced a remarkable volume reduction of 66% and 72%, respectively, compared to the testing results in 2013. …”
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The Influence of Running Technique Modifications on Vertical Tibial Load Estimates: A Combined Experimental and Machine Learning Approach in the Context of Medial Tibial Stress Syn... by Taylor Miners, Jeremy Witchalls, Jaquelin A. Bousie, Ceridwen R. Radcliffe, Phillip Newman

“…Machine-learning models predicted all four vGRF metrics with mean average errors of 9.5%, 10%, 10.9%, and 3.4%, respectively. …”
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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…Compared with the original model using traditional parameter upscaling methods, the advancing framework significantly reduced simulation errors by 35 %–85 %. Moreover, it well reproduced the multi-variable synergies and tradeoffs observed in China's rice fields and identified an additional 18 % areas feasible for irrigation optimization, along with an additional 11 % and 14 % reduction potentials of water use and methane emissions, without compromising production. …”
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An integrated deep convolutional neural networks framework for the automatic segmentation and grading of glioma tumors using multimodal MRI scans by Otung John Peter Odong, Mohammed Abo-Zahhad, Moataz Abdelwahab

“…Manual brain tumor evaluation from MRI scans is labor-intensive, relies heavily on clinician experience, and is prone to errors. Consequently, automated diagnosis of brain tumors is essential for optimal clinical management and glioma surgical interventions. …”
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2024 Polish recommendations for the management of familial hypercholesterolemia in children and adolescents by Małgorzata Myśliwiec, Marta Bandura, Anna Wołoszyn-Durkiewicz, Matylda Hennig, Mieczysław Walczak, Jarosław Peregut-Pogorzelski, Jolanta Sykut-Cegielska, Maria Miszczak-Knecht, Krzysztof Chlebus, Bartosz Wasąg, Agnieszka Zmysłowska, Maciej Banach

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Can artificial intelligence and contrast-enhanced mammography be of value in the assessment and characterization of breast lesions? by Lamiaa Mohamed Bassam Hashem, Heba Monir Azzam, Ghadeer Saad Abd El-Shakour El-Gamal, MennatAllah Mohamed Hanafy

“…Radiologists, under heavy and prolonged workloads, are more prone to errors and to reduce such mistakes, and computer-aided diagnosis (CAD) has been introduced. …”
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Self‐Supervised Pre‐Training and Few‐Shot Finetuning for Gas‐Bearing Prediction by Long Han, Xinming Wu, Renjie Chen, Yunhua Shi, Zhanxuan Hu, Huijing Fang

“…Traditional seismic inversion methods, which detect gas indirectly by modeling and inverting gas‐sensitive parameters, can introduce cumulative errors, whereas conventional deep learning methods struggle with few‐shot generalization due to limited labeled data. …”
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MATHEMATICAL SIMULATION OF TECHNOLOGICAL EQUIPMENT FOR PROCESSING OF OPTICAL PARTS by I. P. Filonov, A. S. Kozeruk, Y. L. Malpica, M. I. Filonova, V. O. Kuznechik, R. O. Dias Gonsalez

“…While using the given machine-tool for machining process an operating force is directed along normal to the working surface and due to this there is a possibility to accelerate a shape-formation process of optical parts that leads to reduction of local errors on their executive surfaces. …”
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Forecasting regional carbon prices in china with a hybrid model based on quadratic decomposition and comprehensive feature screening. by Yaoyang Yi

“…The experimental results indicate that compared with the traditional model, the proposed model achieves average reductions of 67.30%, 47.68%, 48.42%, and 48.79% in the mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE), respectively, demonstrating higher prediction accuracy and robustness. …”
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Correction of the Contribution of Scattered Photon Radiation to the Ionization Chamber Readings During X-Ray Radiation Quality Assessment by A. A. Zaharadniuk, K. G. Senkovsky, R. V. Lukashevich

“…Reduction of the systematic error when determining the characteristics of the reference X-ray radiation fields is an essential task according to the ISO 4037-1:2019 standard. …”
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GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration by Ting Liu, Yuan Liu

“…Additionally, two self-supervised tasks are designed for improved model accuracy and robustness. (3) Results: The fine-tuned model had comparatively optimal performance metrics with significant reductions in Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Squared Error (RMSE). (4) Conclusions: Ultimately, the integration of this model into travel time prediction, based on two large-scale real-world trajectory datasets, demonstrates enhanced performance and computational efficiency.…”
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Assessing the direct and spillover protective effectiveness of Wolbachia-mediated introgression to combat dengueResearch in context by Jo Yi Chow, Somya Bansal, Borame S.L. Dickens, Pei Ma, Ary Hoffmann, Yoon Ling Cheong, Nazni Wasi Ahmad, Jue Tao Lim

“…Robustness checks, including visual inspections, root-mean-square error (RMSE) calculations, in-space and in-time placebo checks, and permutation tests, were used to inspect the model's ability in attributing dengue incidence reductions to the Wolbachia interventions. …”
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Improving seasonal precipitation forecasts in the Western United States through statistical downscaling by B Vernon, W Zhang, Y Chikamoto

“…The greatest error reductions in the downscaled product, measured by root mean squared error (RMSE), were observed at low to mid-elevations (500–2000 meters), with 50%–70% improvement relative to the original forecasts. …”
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Improving Trajectory Tracking of Differential Wheeled Mobile Robots With Enhanced GWO-Optimized Back-Stepping and FOPID Controllers by Li Qiang, Hooi Hung Tang, Nur Syazreen Ahmad

“…This hybrid approach optimizes controller parameters using a multi-metric cost function that incorporates Integral Absolute Error (IAE) and Integral Squared Error (ISE) to minimize steady-state error and enhance responsiveness to larger deviations. …”
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Uso de cámaras de inhalación en pediatría: eficacia de una intervención formativa en profesionales sanitarios by Belén de la Rosa Roch

“…After the intervention, a significant improvement was observed in both knowledge and skills, with a notable reduction in the most frequent errors: failure to shake the inhaler between doses and failure to wait between inhalations. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…Moreover, the model exhibits robust generalization, with average absolute errors below 1 mm and relative errors under 1% across various construction methods and tunnel segments. …”
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Indoor and Ambient Air Pollution in Chennai, India during COVID-19 Lockdown: An Affordable Sensors Study by Naveen Puttaswamy, V. Sreekanth, Ajay Pillarisetti, Adithi R. Upadhya, Sudhakar Saidam, Balachandar Veerappan, Krishnendu Mukhopadhyay, Sankar Sambandam, Ronak Sutaria, Kalpana Balakrishnan

“…The normalized root mean square error (NRMSE) of the atmos hourly PM2.5 (PM10) improved from 41% to 15% (33% to 18%) after applying the field calibration coefficients. …”
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Effectiveness and safety of direct oral anticoagulants in patients with atrial fibrillation and chronic kidney disease: a systematic review and meta-analysis of clinical trials by E. M. Mezhonov, Z. M. Safiullina, Y. A. Vyalkina, S. V. Shalaev

“…ROBINS-I and RoB2 tools were used to assess the systematic error of the research.Results. When searching the literature based on the chosen strategy, 1,895 publications were selected, some of which were excluded due to inconsistency with the inclusion criteria; as a result, 13 studies that did not have exclusion criteria were included in the analysis. …”
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