Historical Perspectives in Volatility Forecasting Methods with Machine Learning by Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

“…While recent works show promising advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive assessment of current statistical and learning-based methods is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models, such as implied volatility, GARCH, LSTM, and Transformer. …”
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Comparative analysis of traditional and automated financial management methods by E. A. Frolov

“…The article examines the problems of using traditional and automated methods of financial management, the relevance of which is due to the rapid digital transformation, which creates the need to rethink the methodological foundations. …”
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About Interrelation of Noospheric Ideology and Homeostatic Management Methods by A. A. Zarnadze

“…The article is devoted to the improvement of management methods in social and economic systems. As the author thinks that the operating management methods don’t meet the increased demands of public life. …”
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Deep Learning Methods in Soft Robotics: Architectures and Applications by Tomáš Čakurda, Monika Trojanová, Pavlo Pomin, Alexander Hošovský

“…The area of soft robotics has been subject to intense research efforts in the past two decades and constitutes a paradigm for advanced machine design in future robotic applications. However, standard methods for industrial robotics may be difficult to apply when analyzing soft robots. …”
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Performance assessment of interpolation methods for orbits of altimetry satellites by Julian Zeitlhöfler, Riva Alkahal, Sergei Rudenko, Mathis Bloßfeld, Florian Seitz

“…We also assess the magnitude of errors occurring at transformations when expressing orbit differences not only in the terrestrial reference frame (Cartesian coordinates), but also in local orbital and ellipsoidal coordinates. …”
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Analysis of Short Texts Using Intelligent Clustering Methods by Jamalbek Tussupov, Akmaral Kassymova, Ayagoz Mukhanova, Assyl Bissengaliyeva, Zhanar Azhibekova, Moldir Yessenova, Zhanargul Abuova

“…This article presents a comprehensive review of short text clustering using state-of-the-art methods: Bidirectional Encoder Representations from Transformers (BERT), Term Frequency-Inverse Document Frequency (TF-IDF), and the novel hybrid method Latent Dirichlet Allocation + BERT + Autoencoder (LDA + BERT + AE). …”
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Comparison of the results obtained by Iman transform with Laplace transform by NIHAL OZDOGAN

“…Applications of these two transforms show that these integral transform methods are closely related to each other.…”
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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…Specifically, we introduced four distinct deep learning models that use site × species community data but differ in their internal structure or on the input environmental data structure: (1) a multi‐layer perceptron (MLP) model for tabular data (e.g. in‐situ/raster climate or soil data), (2) a convolutional neural network (CNN) and (3) a vision transformer (ViT) models tailored for image data (e.g. aerial ortho‐photographs, satellite imagery), and a multimodal model that integrates both tabular and image data. …”
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A New Fault Diagnosis Method of Rotating Machinery by Chih-Hao Chen, Rong-Juin Shyu, Chih-Kao Ma

“…An experimental study was performed to evaluate the proposed method and the results show that the method can effectively detect and recognize different kinds of faults of rotating machinery.…”
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A Visual Measurement Method for Large-Sized Parts by Junkai Yang

“…The method utilizes the edge detection pixel point data of the part image for searching and region localization of line and circle features in the image with a modified Hough transform; A geometric calculation is used to compute the coordinates of the point cloud within the feature area; Drawing on the idea of graph neural network, the priori knowledge of machining is utilized to establish the correlation of related dimensional features in the part drawing, and this is used to propose a model of dimensional validation and correction by the combination of different features. …”
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Impedance Spectrum Measurement and Fault Detection for XLPE Coaxial Cables by LIU Chunqi, LI Shufeng, HUANG Yu, CHEN Dongsheng

“…The limitations of the existing fault diagnosis methods are analyzed, and a new method is proposed to realize cable fault detection by doing an integral transformation on the phase difference. …”
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Application of Dual-Tree Complex Wavelet Transform in Islanding Detection for a Hybrid AC/DC Microgrid with Multiple Distributed Generators by Ernest Igbineweka, Sunetra Chowdhury

“…The proposed method is tested with different data categories from three different microgrid test systems with different scenarios. …”
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Enhanced Fuzzy Delphi Method in Forecasting and Decision-Making by Majed G. Alharbi, Hamiden Abd El- Wahed Khalifa

“…The Delphi method is a process where subjective data are transformed into quasi-objective data using statistical analysis and are converged to stable points. …”
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Modern Methods of Controlling Wound Healing after Fistulizing Glaucoma Surgery. Risk Factors and Antimetabolites by S. Yu. Petrov

“…The last part of the article gives a brief report on less widespread and researched methods of wound healing regulation, such as suppressing the activity of matrix metalloproteinases and amniotic membrane application.…”
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Digital Economy as a Method of Integration into World Space by A. P. Garnov, O. N. Bykova

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StegGPT: A Novel Foundation-Model-Based Character-Level Linguistic Steganography Method Utilizing Large Language Models by Omer Farooq Ahmed Adeeb, Seyed Jahanshah Kabudian

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Zigzag Reinforcement Method for 3D Concrete Printing by Bahram Ahadi, Mercedes Valiente López

“…Three-Dimensional Concrete Printing (3DCP) is transforming the construction industry by offering faster, more cost-effective, and sustainable building solutions. …”
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Efficient detection and counting method for maize seedling plots by Feiyun Wang, Hanlu Jiang, Jincan Wu, Fupeng Li, Bo Zhao, Wenhua Mao, Chengxu Lv, Liming Zhou, Qingzhong Xu

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Image segmentation method of plastic-film corn canopy by ZHANG Wanhong, LIU Wenzhao

“…The proposed method was comprised of three main steps. First, color images yielding red (R), green (G), and blue (B) subimages were mathematically transformed to hue (H), saturation (S), and intensity (I) ones. …”
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WaViT-CDC: Wavelet Vision Transformer With Central Difference Convolutions for Spatial-Frequency Deepfake Detection by Nour Eldin Alaa Badr, Jean-Christophe Nebel, Darrel Greenhill, Xing Liang

“…Unlike previous methods, this approach applies the Discrete Wavelet Transform for multi-level frequency decomposition and Central Difference Convolution to capture local fine-grained discrepancies and focus on texture variances, while also incorporating Vision Transformers for global contextual understanding. …”
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