Research on Pedestrian and Cyclist Classification Method Based on Micro-Doppler Effect by Xinyu Chen, Xiao Luo, Zeyu Xie, Defang Zhao, Zhen Zheng, Xiaodong Sun

“…Herein, wavelet threshold processing, short-time Fourier transform, and periodogram methods are employed to process radar echo data. …”
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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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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

“…This retrospective study explored differences in adoption across meso- and macro-system levels using data from the 2018–2022 state-wide hybrid effectiveness-implementation trial of TransformUs Primary, a whole-school physical activity intervention. …”
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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

“…This study assessed water quality and the occurrence and distribution of microplastics in municipal drinking water across different locations within Nelspruit, South Africa. …”
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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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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

“…This study first established a three-dimensional time‒frequency feature fusion map dataset based on continuous wavelet transform and determined the optimal channel signals from the Sleep-EDF expanded dataset. …”
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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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Benchmarking the Non-Paraxial Beam Propagation Method for Deep-Tissue Microscopy by Praveen Kalarickel Ramakrishnan, Qi Hu, Peter R. T. Munro

“…While rigorous solvers such as the Finite-Difference Time-Domain (FDTD) and Pseudo-Spectral Time-Domain (PSTD) methods provide high accuracy, their high computational cost makes large-volume simulations impractical for deep-tissue imaging. …”
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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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Squeeze-Excitation Transformer With Residual Bi-GRU Model for Distributed UWB Based Continuous Gesture Recognition and its Application to Human-UAV Interactions by Chih-Lyang Hwang, Felix Gunawan, Chih-Han Chen

“…Attributable to the random features of wireless signal, different environments, user areas, and variabilities in user gestures, wireless gesture recognition becomes more formidable. …”
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A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor by Mohamed T. Azam, Hossam Magdy Balaha, Akshitkumar Mistry, Khadiga M. Ali, Bret C. Mobley, Nalin Leelatian, Sanjay Bhatia, Murat Gokden, Norman Lehman, Mohammed Ghazal, Ayman El-Baz, Dibson D. Gondim

“…The proposed framework employs a novel architecture of conical transformers to capture both global and local imaging markers from whole-slide images, accommodating variations across different magnification scales. …”
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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

“…We use the Z-transform theory to transform the dynamic transfer equation into a block diagram, build a supply chain system simulation model, and use it to conduct simulation experiments. …”
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Using the quantitative EEG method in predicting the response to treatment of affective disorders by S. A. Galkin, S. N. Vasilieva, G. G. Simutkin, G. D. Tkacheva, T. A. Oshkina, S. A. Ivanova, N. A. Bokhan

“…The aim is to study the features of brain activity in patients with affective disorders, depending on the response to therapy. Material and methods. The study included 84 patients with affective disorder. …”
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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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Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis by Fatema Tuj Johora Faria, Laith H. Baniata, Sangwoo Kang

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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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Improved crop row detection by employing attention-based vision transformers and convolutional neural networks with integrated depth modeling for precise spatial accuracy by Hassan Afzaal, Derek Rude, Aitazaz A. Farooque, Gurjit S. Randhawa, Arnold W. Schumann, Nicholas Krouglicof

“…Incorporating artificial intelligence (AI) within agricultural practices has fundamentally transformed the discipline by facilitating sophisticated data analysis, predictive modeling, and automation. …”
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Analysis of the fusion of multimodal sentiment perception and physiological signals in Chinese-English cross-cultural communication: Transformer approach incorporating self-attenti... by Xin Bi, Tian Zhang

“…To address this, we propose the TAF-ATRM framework, which integrates Transformer and multi-head attention mechanisms for cross-cultural emotion recognition. …”
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Proposal of a method system for interpersonal communication in the Higher Education context by Marivel C. Jurado Ronquillo, Gisela Bravo López, Raidell Avello Martínez

“…Curriculum transformation in the university majors in Ecuador has generated a growing concern for studying different aspects of interpersonal communication in the teaching-learning process. …”
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