Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction by Komei Hiruta, Junsuke Senoguchi

“…Specifically, we first acquire components with different temporal resolutions using wavelet transform, then convert the wavelet-transformed data into images, and finally perform CNN processing to automatically extract useful temporal features for prediction. …”
Get full text

MATHEMATICAL MODELING OF THE INFLUENCE OF RELAXATION PROCESSES ON THE TEMPERATURE FIELD IN AN ELASTIC HALF-SPACE by I. A. Dzhemesyuk, S. G. Gorbunov

Get full text

Dynamic Hypergraph Convolutional Networks for Hand Motion Gesture Sequence Recognition by Dong-Xing Jing, Kui Huang, Shi-Jian Liu, Zheng Zou, Chih-Yu Hsu

“…Hypergraph convolution is applied to update node features, while the Fourier transform facilitates frequency-domain analysis. The T-Module, a multiscale temporal convolution module, aggregates features from multiple frames to capture gesture dynamics across different time scales. …”
Get full text

Study on characteristics of land cover change using MODIS NDVI time series by WANG Hong-shuo, HUANG Jing-feng

“…Characteristics of vegetation cover change in northern Zhejiang Province was detected using MODIS NDVI time series. Discrete Fourier transform (DFT) method was applied to deduct the noisy and abnormal points. …”
Get full text

Impact of farmer training on potato yield: a case of smallholder potato farmers in Malawi by Ednah Kangogo, David Jakinda Otieno, Julius Okello, Obed Mwenye, Eliya Kapalasa

“…This study applied the difference-in-difference method with inverse probability-weighted regression to analyze the impact of farmer training on potato yield. …”
Get full text

ECG Signal Analysis for Detection and Diagnosis of Post-Traumatic Stress Disorder: Leveraging Deep Learning and Machine Learning Techniques by Parisa Ebrahimpour Moghaddam Tasouj, Gökhan Soysal, Osman Eroğul, Sinan Yetkin

“…This study aims to develop and evaluate an artificial intelligence-based classification system using electrocardiogram (ECG) signals for the detection of PTSD. <b>Methods:</b> Raw ECG signals were transformed into time–frequency images using Continuous Wavelet Transform (CWT) to generate 2D scalogram representations. …”
Get full text

Transformer With Regularized Dual Modal Meta Metric Learning for Attribute-Image Person Re-Identification by Xianri Xu, Rongxian Xu

“…In this paper, we propose a regularized dual modal meta metric learning (RDM3L) method for AIPR, which employs meta-learning training methods to enhance the transformer&#x2019;s capacity to acquire latent knowledge. …”
Get full text

Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm by Chunfeng Jiang, Zegang Niu, Jingru Qu, Yulan Zhao, Amin Rezaeipanah

“…Also, selecting the most suitable transformation in advance is challenging, as different transformations lead to varying search behaviors for evaluating influence spread. …”
Get full text

Blind Frequency Offset Estimation Based on Phase Rotation For Coherent Transceiver by Qingzhao Tan, Aiying Yang, Peng Guo, Zhao Zhao

“…Conventional fast Fourier transform based frequency offset estimation (FFT-FOE) algorithm is suitable for QPSK and 8&#x002F;16&#x002F;64QAM signals. …”
Get full text

Wavelet analysis of geomagnetically induced currents during the strong geomagnetic storms by Aksenovich Tatyana, Bilin Vladislav, Sakharov Yaroslav, Selivanov Vasiliy

“…In order to analyze the currents a wavelet transform was chosen, since this method allows to define not only the frequency composition but also changes in spectral characteristics over time, which is significant in the study of GIC. …”
Get full text

Detection of Transformer Faults: AI-Supported Machine Learning Application in Sweep Frequency Response Analysis by Hakan Çuhadaroğlu, Yılmaz Uyaroğlu

“…In this study, we discussed how the increasing demand for electrical energy results in higher loads on transformers, creating the need for more effective testing and maintenance methods. …”
Get full text

Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration by Xinxin Cui, Yuee Zhou, Caihong Wei, Guodong Suo, Fengqing Jin, Jianlan Yang

“…Secondly, the Swin-Transformer module is combined with the convolution iterative strategy, and each layer of the decoder is carefully designed according to the semantic information characteristics of different decoding layers. …”
Get full text

Transforming Wind Data into Insights: A Comparative Study of Stochastic and Machine Learning Models in Wind Speed Forecasting by Türker Tuğrul, Sertaç Oruç, Mehmet Ali Hınıs

“…In these analyses, five different models were created with the assistance of cross-correlation. …”
Get full text

Structural transformations and their impact on the mechanical and antifriction properties in the process of alloying graphitized hypereutectoid steel with copper by Natalia V. Stepanova, Elena A. Lozhkina

Get full text

Oil-cooled transformer hot spot temperature reduction using windings height optimum design by Mohammad Ali Taghikhani

“…For this purpose, the meta-heuristic modified Arctic Puffins optimization (MAPO) algorithm is used to optimize the transformer design. Moreover, temperature distribution in the transformer windings are simulated in different load conditions using a numerical method based on heat transfer theory and heat conduction equation. …”
Get full text

A Latent Multi-Scale Residual Transformer Approach for Cross-Modal Medical Image Synthesis by Xinmiao Zhu, Yang Li

“…Extensive experimental results across three different datasets demonstrate that LMRT-NET outperforms baseline methods in terms of image generation quality and generalization capability. …”
Get full text

CCTNet: CNN and Cross-Shaped Transformer Hybrid Network for Remote Sensing Image Semantic Segmentation by Honglin Wu, Zhaobin Zeng, Peng Huang, Xinyu Yu, Min Zhang

“…Furthermore, a simplified and efficient feature aggregation module is leveraged to gradually aggregate local and global information at different stages. Extensive comparison experiments on the ISPRS Vaihingen and Potsdam datasets reveal that our method obtains superior performance compared with state-of-the-art lightweight methods.…”
Get full text

Simulation-Based Evaluation of Robust Transformation Techniques for Median Estimation Under Simple Random Sampling by Fatimah A. Almulhim, Abdulaziz S. Alghamdi

“…An efficient estimator can reduce both bias and mean squared error to provide more accurate results by using the transformation strategy. In this paper, an enhanced class of ratio–product types of estimators is introduced, which employs the transformation technique by linearly combining two robust measures, the trimean and decile mean, and five non-conventional measures, the range, inter-quartile range, mid-range, quartile average, and quartile deviation, on auxiliary variables with a simple random sampling method to estimate the finite population median. …”
Get full text

Meta-Transformers: A Hybrid Approach for Medical Image Segmentation With U-Net and Meta-Learning by Neha Tirpude, Tausif Diwan, Meera Dhabu

Get full text

Enhanced Emotion Recognition Through Dynamic Restrained Adaptive Loss and Extended Multimodal Bottleneck Transformer by Dang-Khanh Nguyen, Eunchae Lim, Soo-Hyung Kim, Hyung-Jeong Yang, Seungwon Kim

“…Furthermore, this work introduces the extended multimodal bottleneck transformer, an efficient and effective mid-fusion method designed for problems involving more than two modalities to enhance the performance of emotion recognition systems. …”
Get full text