Self-Supervised Autoencoders for Visual Anomaly Detection by Alexander Bauer, Shinichi Nakajima, Klaus-Robert Müller

“…Together, these properties facilitate an accurate detection and localization of anomalous regions by means of the reconstruction error. We support our theoretical analysis by achieving state-of-the-art results (image/pixel-level AUROC of 99.8/99.2%) on the MVTec AD dataset—a challenging benchmark for anomaly detection in the manufacturing domain.…”
Get full text

Length‐weight relationships of Baikal omul <i>Coregonus migratorius</i> during the feeding season in the Selenga area, Russia by P. N. Anoshko, M. M. Makarov, D. A. Ustarbekova, E. V. Dzyuba

“…The analysis includes data from 3,091 specimens of Baikal omul, collected in May to June 2003, 2006 and 2007 and in September 2004 in the area adjacent to the delta of the Selenga River. …”
Get full text

Temporal stability of a new 40-year daily AVHRR land surface temperature dataset for the pan-Arctic region by S. Dupuis, S. Dupuis, F.-M. Göttsche, S. Wunderle, S. Wunderle

“…Validation shows good accuracy with an average mean absolute error (MAE) of 1.71 K and a MAE range of 0.62–3.07 K against in situ LST data from the Surface Radiation Budget (SURFRAD) network and Karlsruhe Institute of Technology (KIT) sites. …”
Get full text

THE EFFECT OF LEADERSHIP STYLE, ORGANIZATIONAL CULTURE, MOTIVATION ON THE PERFORMANCE OF JUNIOR HIGH SCHOOL PRINCIPAL by Virgana Natawidjaja

“…Before analyzing the data with path analysis, a number of statistical tests were carried out first which became a requirement in the path analysis, namely: Error Normality Test; Homogeneity Test; and Test the significance and linearity of the regression coefficient. …”
Get full text

Evaluation of nurses’ perspectives on the design and use of assistant nurse robots in obstetrics and neonatal care: a mixed-method study by Özen İnam, Samet Okay

“…Qualitative analysis findings reveal positive perceptions regarding the robots’ potential to reduce error rates, enhance patient safety, and alleviate workload. …”
Get full text

Bayesian Uncertainty Quantification of Reflooding Model With PSO–Kriging and PCA Approach by Ziyue Zhang, Dong Li, Nianfeng Wang, Meng Lei

“…In order to solve the problem of large time costs in sampling and inefficient use of transient sample points, particle swarm optimization (PSO)–Kriging model and principal component analysis (PCA) are adopted in this paper. Measurement of peak cladding temperature (PCT) and quench time from FEBA and FLECHT SEASET experiments supply data for evaluation and validation. …”
Get full text

Estimation dry weight of the different tree parts Populus nigra L. trees plantation in Zakho by Zainab Mohammed, Ammar Mohammed

“…The aims of estimating the dry weight of the various elements of the tree above ground, and it was based in this study on the collection of primary data From the trees, by taking stratified random samples from the study site, and collected the basic data for the study by dropping ( 35) Populus nigra L. trees , were weighted in their different parts above ground , as well as taking secondary samples from each tree and all its elements to prepare laboratory samples, using each From field and laboratory data and various regression methodsavailable in the Statgraphics program came up with equations for estimating the dry biomass of different tree elements above ground, and that each of these equations were tested with accuracy measures (corrected coefficient of determination R2-adj, standard error SE, DW test, and residual analysis test), all the way to the best equation chosen to estimate the dry weight of any of the different tree elements on a surface, individually or in combination.…”
Get full text

Genetic Programming and Standardization in Water Temperature Modelling by Maritza Arganis, Rafael Val, Jordi Prats, Katya Rodríguez, Ramón Domínguez, Josep Dolz

“…Recorded data corresponding to the water temperature behavior at the Ebro River, Spain, are used as analysis case, showing a performance improvement on the developed model when data are standardized. …”
Get full text

Prediction of China’s Polysilicon Prices: A Combination Model Based on Variational Mode Decomposition, Sparrow Search Algorithm and Long Short-Term Memory by Jining Wang, Lin Jiang, Lei Wang

“…Compared to the traditional LSTM model and VMD–LSTM model, the VMD–SSA–LSTM model exhibits the smallest error and the highest goodness-of-fit on the polysilicon dataset, demonstrating higher predictive accuracy for polysilicon prices, which provides more accurate reference data for market analysis and pricing decisions of the polysilicon industry.…”
Get full text

Effect of Macroeconomic Factors on Economic Growth in Indonesia by Hafidz Zainul Mustofa, Moh. Faizin

“…The analysis used the Vector Error Correction Model (VECM) approach to understand the long-run and short-run relationships. …”
Get full text

Implementation of Inpatient Medical Records at dr. Reksodiwiryo Hospital: A Qualitative Study by Mutia Rahmi, Ayulia Sari, Sri Siswati

“…The Miles and Huberman model was employed for data analysis, encompassing reduction, display, and conclusion operations. …”
Get full text

Evaluating the Usability of a Book Stock and Sales Recording Android App: System Usability Scale (SUS), Heuristic Evaluation, and Maze Tool Insights by Abdul Rezha Efrat Najaf, Reisa Permatasari, Ciptagusti Sila Sakti

“…However, human error, such as writing or data entry, often leads to inaccurate book stock information. …”
Get full text

Quantification of elastomers in CR/NR/BR blends by Taynara Alves de Carvalho, Alexandra Helena de Barros, Rachel Farias Magalhães, Milton Faria Diniz, Lídia Mattos Silva Murakami, Jorge Carlos Narciso Dutra, Natália Beck Sanches, Rita de Cássia Lazzarini Dutra

“…The error found was 2%, with 98 to 99% of the data explained by the methodology. …”
Get full text

Pengembangan Media Pembelajaran Menulis Teks Ceramah Berbasis Internet Bagi Siswa Kelas XI by Desi Nurasiah, Emah Khuzaemah, Indrya Mulyaningsih

“…The data were collected using observations with observation sheets as the instrument and documentation with data cards as the instrument. …”
Get full text

Caffeine Content Prediction in Coffee Beans Using Hyperspectral Reflectance and Machine Learning by Dthenifer Cordeiro Santana, Rafael Felipe Ratke, Fabio Luiz Zanatta, Cid Naudi Silva Campos, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Natielly Pereira da Silva, Gabriela Souza Oliveira, Regimar Garcia dos Santos, Rita de Cássia Félix Alvarez, Carlos Antonio da Silva Junior, Matildes Blanco, Paulo Eduardo Teodoro

“…The support vector machine algorithm showed the best accuracy in predicting caffeine content when using hyperspectral data from roasted and ground coffee beans. This performance was significantly improved when clone information was included, allowing for an even more accurate analysis.…”
Get full text

Arabic Phoneme Learning Challenges for Madurese Students and the Solutions by Achmad Fudhaili, Toto Edidarmo, Siti Maisaroh

“…The data analysis model adhered the interactive model of Miles, Huberman, and Saldana. …”
Get full text

Penalty Strategies in Semiparametric Regression Models by Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz

“…Furthermore, we present a real data analysis using the Hitters dataset to demonstrate the applicability of these methods in a practical setting. …”
Get full text

LIMITING THE VERTICAL VARIANCE OF ANNUAL RING AREA OF POPULUS NIGRA PLANTATION IN NINEVAH by Muzahem Younis

“…The selected samples were of deferent ages and density. Stem analysis using to obtain the data for tree, by using the filed and stem analysis data and different available regression method within stat Graf program system, and it became possible to prepare forecasting equation of vertical distribution area. …”
Get full text

Realistic synthetic dataset generation for cyber-physical systems: a performance evaluation by Yaa Acquaah, Kaushik Roy

“…The Power system dataset exhibited the smallest difference in validation Mean Absolute Error (MAE), with values of 0.0184 for the real data and 0.0196 for the synthetic data. …”
Get full text

Accommodating inappropriate language: how students react to the translation of inappropriate language in the classroom by Tracey Simpson

“…A study was carried out with students from undergraduate through to postgraduate levels; specific data were collected with a questionnaire and a translation exercise. …”
Get full text