Explainable unsupervised anomaly detection for healthcare insurance data by Hannes De Meulemeester, Frank De Smet, Johan van Dorst, Elise Derroitte, Bart De Moor

“…We combine three different techniques, which have not been used in the context of healthcare insurance anomaly detection: categorical embeddings to deal with high-cardinality categorical variables, state-of-the-art unsupervised anomaly detection techniques to detect anomalies and Shapley additive explanations (SHAP) to explain the model output. Results The method has been evaluated on providers with a known anomalous profile and with the help of experts of the largest health insurance fund in Belgium. …”
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Exploring the distribution and fate of bisphenol A in an aquatic microcosm combined with a multimedia model by Dan Liu, Guodong Kang, Yixi Zhang, Lili Shi, Bo Ma, Shenghu Zhang, Guojian Lu

“…Sensitivity analysis revealed that emission data were the most influential parameters for the model output. Transfer processes between the water and biota phases had a closer relationship. …”
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Research of Fluidity for new LPIC Technology by A. Herman, M. Jarkovský, O. Vrátný, P. Chytka

“…The paper deals with the use of numerical simulations in investigating the problem of fluidity in a new low pressure investment casting (LPIC) technology, where the output is the agreement between the simulation and the practical experiment. …”
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Evaluation and Prediction Method of Rolling Bearing Performance Degradation Based on Attention-LSTM by Yaping Wang, Chaonan Yang, Di Xu, Jianghua Ge, Wei Cui

“…The scoring function is used to adjust the intermediate output state weight of the LSTM model and improve the prediction accuracy. …”
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Precision optimization of reactive squeezing flow in stratified fluids: A response surface exploration by Anum Shafiq, Tabassum Naz Sindhu, Muhammad Ahmad Iqbal

“…Additionally, a comprehensive statistical analysis is conducted, utilizing the correlation coefficient and probable error to assess the influence of governing input variables on the output parameters of interest. The study also includes a sensitivity analysis, revealing that the sensitivities of the heat transport rate to the radiation parameter and thermal stratification parameter increase with higher Biot numbers. …”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Finally, Efficient Context Fusion combines the reconstructed feature maps from different decoding layers into the image space, preserving the semantic integrity of the output image. Experiments have been conducted to validate the effectiveness of the proposed method, demonstrating superior performance in both subjective and objective evaluations. …”
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EXPLORING AUTOMATED SUMMARIZATION: FROM EXTRACTION TO ABSTRACTION by Svetlana G. Sorokina

“…The study draws on a selection of scientific publications across various disciplines, testing the functionality and output quality of automated summarization tools such as Summate.it, WordTune, SciSummary, Scholarcy, and OpenAI ChatGPT-4. …”
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A Novel Multi-Fidelity Support Vector Classification Method for Boundary Prediction in Engineering Applications by Jinliang Luo, Lingzhi Liu, Youwei He, Kuan Tan

“…The key points of the proposed method include the design of a reasonable kernel function to effectively describe the relationship between the input and output of multiple fidelities, and the determination of the optimal hyperparameters. …”
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A scoping review of the contralateral effects of unilateral peripheral stimulation on neuromuscular function. by Shi Zhou, Shuang-Shuang Zhang, Zachary J Crowley-McHattan

“…Much of the research on the contralateral effect of unilateral intervention on motor output is based on voluntary exercise. This scoping review aimed to map the characteristics of current literature on the cross-education caused by three most frequently utilised peripheral neuromuscular stimulation modalities in this context: electrical stimulation, mechanical vibration and percutaneous needling, that may direct future research and translate to clinical practice. …”
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An Ecolevel Estimation Method of Individual Driver Performance Based on Driving Simulator Experiment by Yiping Wu, Xiaohua Zhao, Ying Yao, Jian Rong

“…., percentage number, mean value, standard deviation, and power of applying acceleration pedal). The output was treated as ecoscore. Taking a number of one hundred of data segments in vehicle starting process as training sample, the optimal structure, functions, and learning rate of a backpropagation neural network model with three layers were obtained, after repeated model simulation experiments. …”
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UX-MAPPER: An automated approach to analyze app store reviews with a focus on UX by Walter T. Nakamura, Edson C. C. de Oliveira, Elaine H. T. de Oliveira, Tayana Conte

“…In general, the participants recognized the relevance and utility of UX-MAPPER in enhancing the quality of existing apps and exploring reviews of competing apps to identify user preferences, requests, and critiques regarding functionalities and features. However, the output quality requires refinement to better convey the benefits of the results, especially for practitioners with prior experience with automated approaches. …”
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Variable Is Better Than Invariable: Sparse VSS-NLMS Algorithms with Application to Adaptive MIMO Channel Estimation by Guan Gui, Zhang-xin Chen, Li Xu, Qun Wan, Jiyan Huang, Fumiyuki Adachi

“…Channel estimation problem is one of the key technical issues in sparse frequency-selective fading multiple-input multiple-output (MIMO) communication systems using orthogonal frequency division multiplexing (OFDM) scheme. …”
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Kajian Evaluasi Manfaat Pembangunan Taman Kiara Artha Terhadap Pengunjung dan Pelaku Usaha by Bayu Kusumo Wardani, Astri Mutia Ekasari

“…Hasil penelitian menunjukan bahwa faktor manfaat sosial ekonomi adalah faktor paling penting dengan bobot mencapai 44,8%, faktor kedua terpenting adalah terevaluasinya fungsi taman dengan bobot mencapai 40,1%, dan terakhir faktor teridentifikasinya karakteristik eksisting taman 15,1%. Lalu dilihat dari output hasil pengolahan data dengan Expert Choice 11 yang disebut pada tampilan dinamis yang berisian antara kriteria atau Dynamic Sensitivity. …”
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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

“…The model uses an integration approach, Light Gradient Boosting Machine, Random Forest and Back Propagation Neural Network models are used as the first-level base models to learn the data, and the Linear Regression model as a meta-model integrates the output of the base model to obtain the final prediction results. …”
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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…Results reveal that the annual available operational hours for wind turbines in most parts of the region range from 2000 to 4000 h, with fluctuations in turbine output power increasing alongside available operational hours.…”
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Research on Monitoring Topping Time of Cotton Based on AdaBoost+Decision Tree by Yibai Li, Guangqiao Cao, Chao Ji, Dong Liu, Jinlong Zhang, Liang Li, Cong Chen

“…AdaBoost + decision tree method is proposed as a fitting model, the fitting results show that the coefficient of determination (R2) between multispectrum and cotton plant height is 0.96, and the average prediction error (RMSEP) is 0.40 cm, the coefficient of determination (R2) between multispectrum information and the fruiting branches is 0.97, the prediction mean error (RMSEP) is 0.54, and the correlation determination (R2) with the flower buds is 0.84, and the prediction mean error is (RMSEP) 0.49. The output data of the fitting model is used as the input of the topping time discriminant model, and the discriminant model can obtain an accuracy of 94.03%. …”
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Full-scale wind turbine performance assessment: a customised, sensor-augmented aeroelastic modelling approach by T. H. Malik, C. Bak

“…Refined simulations using further virtual sensors quantified the effect size of these sensors' output under different turbulence levels and blade states, employing Cohen's <span class="inline-formula"><i>d</i></span> – a dimensionless metric measuring the standardised difference between two means. …”
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Parcours de migrants et recomposition des sociétés d’accueil by Thierry Amrein

“…D’autre part, notre étude pose en filigrane la question de la perpétuelle recomposition de sociétés montagnardes encore souvent perçues – ou promues – comme des entités plutôt homogènes, authentiques et spécifiques. Autrement dit, notre enquête se situe à l’articulation entre identités individuelles et identités collectives.…”
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Le Darwin de Hopkins: déchiffrage contextuel by Cary H. Plotkin

“…Gérard Manley Hopkins était bien placé pour apprécier la controverse qui sévissait parmi les scientifiques, les ecclésiastiques et les laïcs autour du darwinisme et de l’évolutionnisme en général. …”
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Study on Pressure Relief Technology of High-Pressure Water Jet of Residual Coal Pillar in Overlying Goaf in Close Seam Mining by Shang Yang, Xuehui Li, Jun Wang, Shuhao Yang, Zhen Shen, Guangzheng Xu

“…The single knife cutting coal output and 38216 working face hydraulic support monitoring data show that high-pressure hydraulic slotting can weaken the strength of the coal body to a certain extent, destroy the integrity of the residual coal pillar, cut off the load transmission path of the overlying strata, and reduce the working resistance of the hydraulic support under the residual coal pillar to a certain extent, which is beneficial to the safe mining of the working face.…”
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