Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…The average response times in three different testing methods were 139.8 ms, 151 ms, and 140.6 ms, respectively. …”
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Simulation and Analysis of the Complex Dynamic Behavior of Supply Chain Inventory System from Different Decision Perspectives by Zusheng Zhang, Xu Wang, Shanshan Yang, Yingbo Wu, Jianhui Du

“…Based on the local decision perspective and the global decision perspective, considering the limitation of supply capacity and prohibiting returns, the system dynamics method is used to establish a nonlinear supply chain system model. …”
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A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification by Neha Sharma, Manoj Sharma, Amit Singhal, Nuzhat Fatema, Vinay Kumar Jadoun, Hasmat Malik, Asyraf Afthanorhan

“…Although there are many different methods for analyzing MI-EEG signals, research into deep learning and transfer learning approaches for MI-EEG analysis remains scarce. …”
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Assessing air and noise pollution through acoustic classification of vehicles fuel types using deep learning by Andrej Hvastja, Dejan Ćirić, Marko Milivojčević, Jurij Prezelj

“…Psychoacoustic features—loudness, sharpness, roughness, fluctuation strength, and tonality—and features derived from the Hilbert-Huang Transform (HHT) were extracted from the signals to capture the unique acoustic signatures of different engine types. …”
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Towards scalable medical image compression using hybrid model analysis by Shunlei Li, Jiajie Lu, Yingbai Hu, Leonardo S. Mattos, Zheng Li

“…We introduce the SDWTCNN framework, which integrates DWT and CNN to achieve scalable image compression with lower complexity compared to similar methods. The performance of SDWTCNN is evaluated using different performance metrics, demonstrating its effectiveness in maintaining image quality at various compression rates. …”
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Lateral Stress Sensor Based on an In-Fiber Mach–Zehnder Interferometer and Fourier Analysis by Xiujuan Yu, Dan Bu, Xuefeng Chen, Jintao Zhang, Shengchun Liu

“…The spatial spectra of the proposed in-fiber interferometers with different interference lengths are analyzed by Fourier transform. …”
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A novel brain MRI classification framework integrating tuned single scale retinex and empirical wavelet entropy features by Paravathanani Rajendra Kumar, Krishna Prakash, Buraga Ram Sai Teja, Kota Akhil Manoj, Adi Bhuvaneswar, Divvela David Syam Kumar, Shonak Bansal, Sandeep Kumar, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…Afterward, these enhanced images are decomposed through Empirical Wavelet Transform (EWT) so that informative subbands can be extracted. …”
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Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data by Dung Nguyen, Peter de Voil, Andries Potgieter, Yash P. Dang, Thomas G. Orton, Duc Thanh Nguyen, Thanh Thi Nguyen, Scott C. Chapman

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Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios by Leidy Esperanza Pamplona Berón, Marco Claudio De Simone, Domenico Guida

“…Signal processing techniques, specifically Power Spectral Density (PSD) and Continuous Wavelet Transform (CWT), were employed. Each method provides valuable insights into frequency and time-frequency domain analysis. …”
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Efficient Implementation of Matrix-Based Image Processing Algorithms for IoT Applications by Sorin Zoican, Roxana Zoican

“…The execution time of matrix-based image processing algorithms can be reduced by using CNN accelerators already integrated in some modern microcontrollers to implement artificial intelligence algorithms. The proposed method uses CNN in a different way, not for artificial intelligence algorithms, but for matrix calculations using CNN resources effectively while maintaining the accuracy of the calculations. …”
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Coordinate Transformation between Global and Local Datums Based on Artificial Neural Network with K-Fold Cross-Validation: A Case Study, Ghana by Yao Yevenyo Ziggah, Hu Youjian, Alfonso Rodrigo Tierra, Prosper Basommi Laari

“…Its ability to perform coordinate transformation between different datums has been well documented in literature. …”
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Exploring meso- and macro-level contextual factors associated with inequalities in program adoption during statewide scale-up of TransformUs Primary, a whole-school physical activi... by Elly Ganakas, Jo Salmon, Jiani Ma, Karen E. Lamb, Lisa Barnett, Adrian Bauman, Amanda Telford, Nicola D. Ridgers, Anna Timperio, Harriet Koorts

“…Methods Descriptive statistics (number and %) and chi-squared tests were used to assess differences in contextual characteristics between adopting and non-adopting schools (Aim 1). …”
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Microplastics in municipal water: analysing variations in contamination in a Lowveld city, South Africa by Tatenda Dalu, Ayanda P. Xozumti, Mwazvita T. B. Dalu, Linton F. Munyai, Stanford M. Nkosi, Samkelisiwe T. Themba, Rabelani Mudzielwana, Pule P. Mpopetsi

“…The occurrence of microplastics in drinking water could, in part, be attributed to the poor water treatment methods, employed by the contracted water services provider, in capturing and removing microscopic particles. …”
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The Design and Performance Evaluation of a Wireless Sensor Network Based Irrigation System on Different Soil Types by Buhari Umar, Eustace Manayi Dogo, Bello Kontagora Nuhu, Arifa Khatoon Haq, Paul Tobi Olaleye

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Unsupervised Cross-Domain Polarimetric Synthetic Aperture Radar (PolSAR) Change Monitoring Based on Limited-Label Transfer Learning and Vision Transformer by Xinyue Zhang, Rong Gui, Jun Hu, Jinghui Zhang, Lihuan Tan, Xixi Zhang

“…In this study, an unsupervised cross-domain method based on limited-label transfer learning and a vision transformer (LLTL-ViT) is proposed for PolSAR land-cover change monitoring, which effectively alleviates the problem of difficult label reuse caused by domain shift in time-series SAR data, significantly improves the efficiency of label reuse, and provides a new paradigm for the transfer learning of time-series polarimetric SAR. …”
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Multicriteria decision making-based approach to classify loose-leaf teas by Eszter Benes, Attila Gere

“…Different spectral transformations (MSC, SNV and derivatives) and seven supervised linear and non-linear chemometric methods were performed. …”
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Time lag effect of precipitation on groundwater level based on wavelet analysis in the People’s Victory Canal irrigation area, China by Zhongpei Liu, Xiaoqing Li, Zhipeng Hu, Runxiang Cao, Yuping Han, Lin Wu

“…This study is based on the monthly average precipitation and groundwater depth data from the Xiazhuang in the People’s Victory Canal irrigation area from 1993 to 2021. It uses methods such as continuous wavelet transform, cross-wavelet transform, and cross-correlation analysis to systematically analyze the lag effect and its changing patterns of groundwater table depth in response to precipitation at different time scales. …”
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Les RPS, des épreuves professionnelles à transformer pour les chefs de service de la protection de l’enfance by Aline Alleyrat, Laurence Durat, Mathieu Scholl

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Automated sleep staging model for older adults based on CWT and deep learning by Qunfeng Niu, Ranran Gui, Hengfang Liu, Liuyi Li, Lei Shi, Kunming Jia, Peng Li, Li Wang

“…To further validate the superiority of the RICM-SleepNet model, this study compared it with recent research methods that have demonstrated good performance in sleep staging. …”
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Adaptive Fast Refocusing for Ship Targets With Complex Motion in SAR Images by Xinqi Xu, Xiangguang Leng, Zhongzhen Sun, Xiangdong Tan, Kefeng Ji, Gangyao Kuang

“…Results from the experiments reveal that the method put forward can successfully counteract the defocusing produced by complex motion. …”
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