Multi-Lane Automated Catfish Seed Counting System Using Real-Time Operating System on Embedded Platforms by Bayu Santoso, Dahnial Syauqy, Agung Setia Budi

“…To enhance efficiency and reduce counting errors, this study proposes an automated catfish seed counting system. …”
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Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism. by Yutong Liu, Shile Zhang

“…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…The proposed algorithms are evaluated in comparison with traditional SS methods, including ED, MF, and cyclostationary feature detection (CFD). Additionally, characteristics including bit error rate (BER), power spectral density (PSD), probability of detection (pd), and probability of false alarm (pfa) were researched and evaluated for 500 and 1000 samples. …”
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A Multiparent Advanced Generation Inter-Cross to fine-map quantitative traits in Arabidopsis thaliana. by Paula X Kover, William Valdar, Joseph Trakalo, Nora Scarcelli, Ian M Ehrenreich, Michael D Purugganan, Caroline Durrant, Richard Mott

“…We show by simulation that QTL explaining 10% of the phenotypic variance will be detected in most situations with an average mapping error of about 300 kb, and that if the number of lines were doubled the mapping error would be under 200 kb. …”
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Effect of audit firm industry specialization on cost of debt financing: Evidence from Ghana by Ebenezer Nana Yeboah, Zhou Yang, Benedict Arthur, Gabriel Kyeremeh

“…We hypothesize that audit firm industry specialization reduces client cost of debt since auditors with industry specialization are more likely to deter and detect questionable accounting practices and report material errors and irregularities. …”
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Automatic Extraction and Visualization of Interaction Networks for German Fairy Tales by David Schmidt, Frank Puppe

“…This is followed by an analysis of various types of errors that the algorithms can make, like a coreference resolution algorithm not realizing that the frog has transformed into a prince, and their impact on the created networks. …”
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Research on Spatial Localization Method of Magnetic Nanoparticle Samples Based on Second Harmonic Waves by Zheyan Wang, Ping Huang, Fuyin Zheng, Hongli Yu, Yue Li, Zhichuan Qiu, Lingke Gai, Zhiyao Liu, Shi Bai

“…This implies that the saturated DC bias field corresponding to the second harmonic signal can be used to determine the magnetic nanoparticle sample detection depth. The experimental results validated the method’s high accuracy, with axial detection distance and concentration reduction errors of only 4.8% and 4.1%, respectively. …”
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Three-dimensional omnidirectional characterization methods of rock anisotropic wave velocity and acoustic emission location optimization by Shengjun MIAO, Wenxuan YU, Mingchun LIANG, Pengjin YANG, Conghao LI, Zejing LIU

“…The location error for siltstone is greater than that for marble due to three primary reasons. …”
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A Novel FDIA Model for Virtual Power Plant Cyber–Physical Systems Based on Network Topology and DG Outputs by Shuo Wu, Junhao Gong, Shiqu Xiao, Jiajia Yang, Xiangjing Su

“…An attack vector is designed carrying incorrect topology, falsified DG outputs, and tampered power flow information that can bypass the existing bad data detection and topology error identification, misleading the decision-making in the control center. …”
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Working memory filtering at encoding and maintenance in healthy ageing, Alzheimer’s and Parkinson’s disease by Sofia Toniolo, Robert Udale, Verena Svenja Klar, Maria Raquel Maio, Bahaaeddin Attaallah, George K Tofaris, Michele T Hu, Sanjay G Manohar, Masud Husain

“…In healthy ageing there was a prominent decline in WM memory precision, whilst in AD lower target detection and higher guessing were the main sources of error. …”
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Proofreading mechanism for colloidal self-assembly by Qian-Ze Zhu, Chrisy Xiyu Du, Ella M. King, Michael P. Brenner

“…Designing components that can robustly self-assemble into structures with biological complexity is a grand challenge for material science. Proofreading and error correction is required to improve assembly yield beyond equilibrium limits, using energy to avoid kinetic traps in the energy landscape. …”
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Smartphone LIDAR can measure tree cavity dimensions for wildlife studies by Jessica M. Stitt, Leona K. Svancara, Lee A. Vierling, Kerri T. Vierling

“…Correlations between Spike measurements and cavity dimensions were high (r > 0.91 across 3 dimensions; n = 294). Measurement error for both vertical and horizontal diameters of cavity entrances was <1 cm on average. …”
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Deep learning approaches for quantitative and qualitative assessment of cervical vertebral maturation staging systems. by Abbas Ahmed Abdulqader, Fulin Jiang, Bushra Sufyan Almaqrami, Fangyuan Cheng, Jinghong Yu, Yong Qiu, Juan Li

“…Statistical analyses evaluated the methods' performance, including the Pearson correlation coefficient, mean square error (MSE), success detection rate (SDR), precision-recall metrics, and the F1 score. …”
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Quantifying the Impact of Environmental Factors on the Methane Point-Source Emission Algorithm by Zixuan Wang, Linxin Wang, Ding Li, Lingjing Yang, Lixue Cao, Qin He, Kai Qin

“…These findings highlight the substantial challenges in accurately detecting low-concentration CH₄ emissions. …”
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Data Biases in Geohazard AI: Investigating Landslide Class Distribution Effects on Active Learning and Self-Optimizing by Jing Miao, Zhihao Wang, Tianshu Ma, Zhichao Wang, Guoming Gao

“…In balanced scenarios (1:1), both strategies yield comparable numerical metrics; however, margin sampling produces spatially coherent detections with fewer fragmented errors. These findings indicate that regardless of the landslide proportion, AL enhances the generalizability of landslide detection models in terms of predictive accuracy and spatial consistency. …”
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An adaptive prediction method for ultra-short-term generation power of power system based on the improved long- and short-term memory network of sparrow algorithm by Peipei Yang, Zhidong Chen, Wen Tang, Zongyang Liu, Bingrui He

“…The corresponding Mean Absolute Percentage Error (MAPE) values are 0.21 MW, 0.52 MW, and 0.13 MW, while Absolute Error (AE) values reach 0.17 MW, 0.46 MW, and 0.18 MW. …”
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Heterogeneous AI Music Generation Technology Integrating Fine-Grained Control by Hongtao Wang, Li Gong

“…Additionally, a rigorous performance assessment was conducted to evaluate the music generation model&#x2019;s capabilities against alternative approaches. The findings revealed that the suggested model achieved an average mean square error of 0.27 and an average root mean square error of 0.24. …”
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An Underground Goaf Locating Framework Based on D-InSAR with Three Different Prior Geological Information Conditions by Kewei Zhang, Yunjia Wang, Feng Zhao, Zhanguo Ma, Guangqian Zou, Teng Wang, Nianbin Zhang, Wenqi Huo, Xinpeng Diao, Dawei Zhou, Zhongwei Shen

“…This study demonstrates that aligning the selection of deformation models with different types of prior geological information significantly improves the accuracy of underground goaf detection. The findings offer practical guidelines for selecting optimal models based on varying information scenarios, thereby enhancing the reliability of disaster evaluation and mitigation strategies related to illegal mining.…”
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The Validation of a New Visual Anaemia Evaluation Tool HemoHue HH1 in Patients with End-Stage Renal Disease by Robert M. Kalicki, Stefan Farese, Dominik E. Uehlinger

“…A learning effect could be detected. Relative errors in individual estimates reached, however, up to 50%. …”
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The retrospective double-entry of a long-term ecological dataset by Simon Bull, Robert Sharrad, Michael G. Gardner

“…Software was used to execute comparisons of c.760,000 individual data value pairs across c.56,000 records to corroborate matching values and identify unmatched values.The key findings are: a) from 760,967 value pair comparisons between the originally keyed dataset and a retrospectively re-keyed version of the same dataset, 18,637 differences (2.5 %) were detected, b) almost half (48 %) of the differences detected were intentional alterations made to the original dataset during data curation efforts, c) data differences were not uniformly distributed across data fields but concentrated in the animal identity data field, and d) a three-way comparison of the identity field corroborated a recorded value in almost all cases.Landmark, long-term ecological studies continue to be the evidentiary framework for ecological science. …”
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