Advancing 1.5T MR imaging: toward achieving 3T quality through deep learning super-resolution techniques by Sk Rahatul Jannat, Kirsten Lynch, Maryam Fotouhi, Steve Cen, Steve Cen, Jeiran Choupan, Nasim Sheikh-Bahaei, Nasim Sheikh-Bahaei, Gaurav Pandey, Bino A. Varghese

“…Specifically, we employed metrics such as the Structural Similarity Index Measure (SSIM), Peak Signal-to-Noise Ratio (PSNR), Learned Perceptual Image Patch Similarity (LPIPS), and Intensity Differences in Pixels (IDP) to evaluate the similitude and visual quality of the enhanced images.ResultsAccording to our experimental results it has been exhibited that among the three evaluated deep learning-based super-resolution techniques, the Transformer Enhanced Generative Adversarial Network (TCGAN) significantly outperformed the others. …”
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Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis by Wai Ying Kot, Sum Yin Au Yeung, Yin Yan Leung, Pui Hang Leung, Wei-fa Yang

“…Various deep learning algorithms were categorized according to the backbone network, encompassing single-stage convolutional models, convolutional models with U-Net architecture, Transformer models, convolutional models with attention mechanisms, and combinations of multiple models. …”
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Predicting trajectories of coastal area vessels with a lightweight Slice-Diff self attention by Jinxu Zhang, Jin Liu, Xiliang Zhang, Lai Wei, Zhongdai Wu, Junxiang Wang

“…Existing trajectory prediction studies predominantly employ recurrent neural network (RNN) and Transformer-based methods. However, the former often encounter challenges such as gradient vanishing or exploding, and the latter tend to focus on global temporal dependencies, making it difficult to capture local irregular trajectory features in coastal maritime areas. …”
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A Novel Method for Estimating Parameters of Magnetic Dipole Sources Under Low Signal-to-Noise Ratio Conditions Based on LM-OBF Algorithm by Zhaotao Yan, Zhaofa Zeng, Jianwei Zhao

“…This shows significant differences between estimated and true values. Therefore, this study proposes a method for estimating magnetic source parameters based on the LM-OBF algorithm. …”
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Transition Mechanism Design for Wind Power Participating in Energy Markets by WU Yang, LU Zhilin, ZHU Wenjing, LIU Shuangquan, LENG Yuan, ZHU Xinchun, LIU Mingbo

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Synthesis and Characterization of Zeolite A from Alkaleri Kaolin using Conventional Hydro Thermal Synthesis Technique by Adamu Abubakar, Nasiru Yahaya, Wilson Lamayi

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An Autoregressive-Based Motor Current Signature Analysis Approach for Fault Diagnosis of Electric Motor-Driven Mechanisms by Roberto Diversi, Alice Lenzi, Nicolò Speciale, Matteo Barbieri

“…A multiresolution analysis of the raw motor currents is first performed using the discrete wavelet transform with Daubechies filters, enabling the separation of noise, disturbances, and variable torque effects from the current signals. …”
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Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Met... by Amir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, Schontal Halstead, David Alberico, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look-Hong, Belinda Curpen, Michael Kolios, Gregory J. Czarnota

“…We determined features from CT images in different level of frequencies using wavelet transform. …”
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On the Extended Simple Equations Method (SEsM) for Obtaining Numerous Exact Solutions to Fractional Partial Differential Equations: A Generalized Algorithm and Several Applications by Elena V. Nikolova

“…The expansions made to the original SEsM algorithm are implemented in several directions: (1) In constructing analytical solutions: exact solutions to FNPDE systems are presented by simple or complex composite functions, including combinations of solutions to two or more different simple equations with distinct independent variables (corresponding to different wave velocities); (2) in selecting appropriate fractional derivatives and appropriate wave transformations: the choice of the type of fractional derivatives for each system of FNPDEs depends on the physical nature of the modeled real process. …”
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Magnetohyrodynamic Turbulence in a Spherical Shell: Galerkin Models, Boundary Conditions, and the Dynamo Problem by John V. Shebalin

“…These Galerkin methods transform the problem from a few partial differential equations in physical space into a huge number of coupled, non-linear ordinary differential equations in the phase space of expansion coefficients, creating a dynamical system. …”
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A multi-time scale charging load forecasting method for electric private cars based on an improved gravity model considering stochastic charging behavior by Xiaohong Dong, Ruize Wang, Xiaodan Yu

“…Electric Private Car (EPC) charging load forecasting is the basis of charging facility planning and long-term development of distribution network upgrading and transformation. However, most current studies focus on short-term charging load prediction, and rarely analyze the differences in charging loads in different day types and seasons in future years. …”
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The “new man” project and teaching history and social sciences: on the discussion in the journal “The Marxist historian”. 1926–1928 by K. R. Ambartsumyan

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Method for obtaining and dual-energy processing of X-ray sinograms for identifying low-contrast ubstances in CT using sources with a continuous radiation spectrum by A.A. Komarskiy, S.R. Korzhenevskiy, V.V. Krinitsin

“…This allows dual-energy transformation to be performed not for CT slices but for sinograms obtained at different energy spectra of X-ray radiation. …”
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Intelligent Air Gap Segmentation in Electric Motor Color Images Using a Self-Organizing Map by Bernardo Barancelli Schwedersky, Joao Paulo Zomer Machado, Rodolfo Cesar Costa Flesch, Cassiano Montibeller

“…This procedure eliminates the need for a large dataset of manually segmented images, which is typically required by most of the intelligent segmentation methods in the literature. The procedure begins with a polar transformation of the motor image, which helps to identify the region of interest for segmentation. …”
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Approach to design of distributed multi-agent system for processing sound information of the environment by U. A. Vishniakou, B. H. Shaya

“…Two estimations of a sound situation are given: on the basis of short-term energy and average speed of change. Three different classification methods are investigated: KNearest neighbors, Gaussian mixture model and Support vector machine.Multi-agent system (M)AS characteristics are given, the classification, trends in the use of multi-agent intelligent technologies for information processing are presented. …”
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A Construction Method for a Coal Mining Equipment Maintenance Large Language Model Based on Multi-Dimensional Prompt Learning and Improved LoRA by Xiangang Cao, Xulong Wang, Luyang Shi, Xin Yang, Xinyuan Zhang, Yong Duan

“…Despite the rapid development of large language models (LLMs) injecting new momentum into the intelligent transformation and upgrading of coal mining, their application in coal mining equipment maintenance still faces challenges due to the diversity and technical complexity of the equipment. …”
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Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning by Pengliang Wei, Jiao Guo, Jiaqian Lian, Chaoyang Wang

“…Otherwise, when pixel sample size exceeded 100 000-level, nonbuffer equal proportion sampling–advanced transformer combination could be the currently optimal selection over the combination of this sampling method and RF, and its overall accuracy could reach 91% as sample size increased. …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

“…This approach addresses common limitations of traditional single-modal methods, such as isolated data analysis and poor integration between different data types. …”
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Palmprint recognition based on principal line features by Hongxia Wang, Teng Lv

“…With the successful removal of fine lines by WLE, we propose a new Layer Visual Transformer (LViT) design paradigm. For its input, distinct blocking strategies are adopted, carefully designed to partition the data to capture different levels of spatial and feature information, using larger blocks for global structure and smaller ones for local details. …”
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A systematic narrative review of the research evidence of the impact of intersectionality on service engagement and help-seeking across different groups of women, trans women, and... by Carolin Hess, Zahra Abdulla, Lydia Finzel, Antonina Semkina, Jess Harris, Annette Boaz, Jill Manthorpe

“…Narrative methods were utilised in the synthesis and analysis of the research.…”
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