Support Vector Regression Based on Grid-Search Method for Short-Term Wind Power Forecasting by Hong Zhang, Lixing Chen, Yong Qu, Guo Zhao, Zhenwei Guo

“…The two main contributions of this paper are as follows. (1) In data preprocessing, each encountered problem of employed real data such as irrelevant, outliers, missing value, and noisy data has been taken into account, the corresponding reasonable processing has been given, and the input variable selection and order estimation are investigated by Partial least squares technique. (2) STWPF is investigated by multiscale support vector regression (SVR) technique, and the parameters associated with SVR are optimized based on Grid-search method. …”
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A Hybrid Deep Learning Framework for Network Flow Forecasting of Power Grid Enterprise by Xin Huang, Ting Hu, Pei Pei, Qin Li, Xin Zhang

“…The network flow series in power grid enterprise always contain complex patterns and outliers, and VMD is applied to adaptively process complex net flow time series into several subseries with simpler patterns. …”
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Langue d’écriture : entre ancrage culturel et créativités littéraires dans La carte d’identité de Jean-Marie Adiaffi et Les germes de la mort de Regina Yaou by Amoin Véronique BOHOUSSOU

“…Cette réflexion s’adosse sur la méthode d’analyse descriptive afin de mettre en lumière toute cette volonté d’acclimatation de la langue française aux réalités africaines, d’afficher leur statut diglossique, laquelle démarche met en évidence le caractère dynamique de toute langue, ainsi que cette volonté de positionnement de ces auteurs à la lumière de leur verve créatrice et aussi de traduire ce choix de mutualisation des cultures en présence.  …”
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Loup-garou 1 à la Galerie de l’Université du Québec à Montréal by Christine Larivière

“…Christine Larivière analyse pour sa part la place qu’occupe l’œuvre Loup-Garou I de l’artiste David Altmejd à la Galerie de l’Université du Québec à Montréal (UQAM). L’auteure met en lumière la manière dont la Galerie a investi au cours des dernières années dans le potentiel artistique d’Altmejd, artiste émergent de la scène nord-américaine. …”
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Tourists' perceptions of beach quality improvement during the off-peak season: a segmentation approach by Goda Lukoseviciute, Luís Nobre Pereira

“…Cluster analyses have resulted in four beach user profiles: passive nature-lovers, senior consumerists, outliers and young and active environmentalists. The results provide valuable information and insights both for academics and for beach managers, who can adjust management according to the clustered markets and their preferences. …”
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Determinants of audit report lag: evidence from Indonesia's basic materials sector (2019-2022) by Conidia Asih Prastiwi, Ajeng Luthfiyatul Farida

“…Using purposive sampling techniques, the study obtained 19 samples from an initial population of 26 companies after eliminating outliers and analyzed the data using panel data regression through Eviews 12 software. …”
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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding by Ibrahim Almubark

“…To address the issue of under sampling, we implemented ensemble random sampling, which was subsequently followed by Two-Stage Thresholding (TST) to eliminate outliers. The well-known Synthetic Minority Over-sampling Technique (SMOTE) was used for over-sampling. …”
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Wi-Pest:a method for detecting stored grain pests based on CSI by Shaowei SHAN, Weidong YANG, Le XIAO, Ke WANG

“…The environmental and biological factors that affect the food security during the food storage,such as the food temperature,environment humidity,moisture,gas,mildew,pests and others pose a threat to the food storage security,among which the pest is an important factor threatening food storage security.Therefore,a fast and effective detection method is needed to detect stored grain pests.Some of the existing methods are time consuming,using expensive equipment,potentially harmful to health and inefficient.A non-contact,fast and low-cost detection method for stored grain pests based on the amplitude of the channel state information (CSI) was proposed,namely,wireless-pest (Wi-Pest).The feasibility of the pest detection in the stored grain was verified by using CSI amplitude data.On this basis,a Wi-Pest detection method was designed.Firstly,the amplitude data of CSI was preprocessed by outliers removal,data normalization and noise elimination.Then the principal component analysis (PCA) was used to compress the data and extract the main feature components.Finally,random forest (RF) classification method was used to detect stored grain pests.Experiments show that the abnormal density of live pests in grain heaps can be detected under the line of sight (LOS) scenario,and the detection accuracy of the proposed method can reach 97% on average.…”
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Construction of Discrimination Models in Prediction of Bankruptcy if Polish Non-Public Enterprises by Bernard Kokczyński

“…Additionally, two techniques of winsorization were applied to minimize the impact of outliers on the study results. Results of the research. …”
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A comparative analysis of LSTM, GRU, and Transformer models for construction cost prediction with multidimensional feature integration by Tang Shi, Kazuya Shide

“…The GRU model, although faster in training, proved less accurate and is less effective in handling outliers. Key features such as Total Area (TA), Site Area (SA), and Number of Floors (NF) were identified as significant predictors across all models, with the Transformer model proving particularly adept at capturing complex interactions. …”
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Association Rule Mining Algorithm in College Students’ Quality Evaluation System by Jing Lei

“…The results show that the use of associative rule extraction algorithms to assess the quality and ability of college students can improve the efficiency of the test by 24% and the accuracy of the test score by 33% and reduce the probability of outliers in the scoring process by 27%. It can be seen that the association rule extraction algorithm can be applied to college students’ quality assessment system and also reduces the probability of encountering obstacles in accuracy and performance assessment. …”
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High-Impedance Fault Detection in DC Microgrid Lines Using Open-Set Recognition by Ivan Grcić, Hrvoje Pandžić

“…The resulting approach enables the detection of high-impedance faults as outliers from the normal operating states of microgrid lines with passive constant impedance loads and requires only the Fourier transform of the current signal as input to the neural network. …”
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L’écotourisme dans la consolidation de la paix en Colombie : accord de paix, conflit et justice écologique by Luis Fernando Sánchez Supelano

“…Dans le but de mettre en lumière les tensions liées à la mise en œuvre de projets d’écotourisme dans le contexte colombien, ce texte analyse le rôle du conflit armé dans l’apparition du conflit environnemental en Colombie, et la façon dont il s’est accru ces dernières années avec l’arrivée de nouveaux acteurs dans différents territoires. …”
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Les savants et la sorcière by Eléonore Devevey, Jacob Lachat

“…Based on the analysis of two critical texts devoted to Jules Michelet's La Sorcière (1862), Roland Barthes’ “La Sorcière” (1959) and Jeanne Favret-Saada’s “Sorcières et Lumières” (1971), this article intends to investigate the logics behind the reception of La Sorcière during the 1950s-1970s. …”
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Caragiale, Mateiu by Laurenţiu Hanganu

“…Elles sont, en même temps, une analyse de l’oeuvre matéine du point de vue de l’histoire littéraire et de sa réception critique. L’auteur met en lumière les méandres d’une vie soumise au tragique statut de bâtard. …”
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Signal Feature Extraction and Quantitative Evaluation of Metal Magnetic Memory Testing for Oil Well Casing Based on Data Preprocessing Technique by Zhilin Liu, Lutao Liu, Jun Zhang

“…In this paper, a method of median filter preprocessing based on data preprocessing technique is proposed to eliminate the outliers point of MMM. And, based on wavelet transform (WT), the adaptive wavelet denoising method and data smoothing arithmetic are applied in testing the system of MMM. …”
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CORRELATION BETWEEN SGOT AND SGPT LEVELS WITH POSITIVE HBsAg LEVELS by Nisa'ur Rosyidah, Erlinda Widyastuti, Annisa Auliya Rahman, Nur Septia Handayani, Belgis

“…The correlation analysis used in this study is Kendall's tau correlation because the data contains outliers and is not normally distributed. Result: Based on the results, it is known that there is no significant correlation between SGOT and SGPT levels with positive HBsAg levels. …”
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Consensus Mechanism of IoT Based on Blockchain Technology by Yue Wu, Liangtu Song, Lei Liu, Jincheng Li, Xuefei Li, Linli Zhou

“…Machine learning methods are also introduced to identify or remove outliers in the sensor data before such data are uploaded to the chain. …”
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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

“…Employing meta-heuristic methods as the main innovation in this research not only optimizes machine learning model settings but also mitigates the impact of noise, outliers, and ineffective inputs, thereby enhancing the final output quality. …”
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Online newspapers: the impact of culture, sex, and age on the perceived importance of specified quality factors by Beverley G. Hope, Zhiru Li

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