Vocal performance evaluation of the intelligent note recognition method based on deep learning by Dongyun Chang

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Determining the Effective Electromagnetic Parameters of Photonic Crystal by Phase Unwrapping and Denoising Method by Guizhen Lu, Zhonghang Duan, Hongcheng Yin, Zhihe Xiao, Jing Zhang

“…In dealing with scattering parameters with noise, the wavelet transform method is utilized to remove the noise added to the scattering parameters. …”
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Multi-Signal Induction Motor Broken Rotor Bar Detection Based on Merged Convolutional Neural Network by Tianyi Wang, Shiguang Wen, Shaotong Sheng, Huimin Ma

“…In this paper, we propose a novel non-invasive fault detection method. The method preprocesses motor currents by Hilbert-Huang Transform (HHT) and Park’s Vector Modulus (PVM) and then uses a merged convolutional neural network (CNN) for classification. …”
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Assessing the environmental transformation of alternative chemicals using in silico tools, (bio)degradation testing and suspect screening – A case study of emerging alternative pla... by Ioannis Liagkouridis, Georgios Giovanoulis, Gunnar Thorsén

“…At the same time the fast chemical degradation method showed good potential in identifying the key transformation products. …”
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Detection Technology for Catenary Stagger Value Based on Acceleration Signals by CHEN Hongming, ZHOU Ning, LU Wenwei, YANG Zixian, CHENG Yao, WANG Dong, ZHANG Weihua

“…［Method］ A detection method combining continuous wavelet transform (CWT) and random forest (RF) is proposed to effectively detect catenary stagger value across different speed levels. …”
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Rapid Quality Discrimination of Rice during the Mildew Process Based on Multi-Source Information Fusion by LI Haiyu, WEI Ziyu, CHEN Tong, HUANG Guangwei, HU Yongzhi, MENG Hecheng

“…In this study, a rapid and non-destructive method was proposed for the quality discrimination of rice at different stages during the early mildew process. …”
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Research on identification method of bituminous coal based on terahertz time-domain spectroscopy by Shuguang Miao, Shuguang Miao, Xiang Liu, Xiang Liu, Yue Zhang, Yue Zhang, SuWen Li, SuWen Li, Enjie Ding, Enjie Ding

“…The two types of bituminous coal samples were detected by the transmission terahertz time-domain spectroscopy system, and the spectral data of various bituminous coal samples were obtained, and then the absorption coefficient and refractive index of each sample were obtained after mathematical calculations such as fast Fourier transform (FFT). The results show that the PCA-CA classification model based on terahertz absorption coefficient spectrum can accurately identify different bituminous coals with an accuracy of 100%, while the PCA-CA classification model based on refractive index spectra cannot accurately identify different bituminous coals. …”
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A Novel Method of Jute Viscose From Jute Fiber and Its Characterization by M. Sarwar Jahan, Md. Samsur Rahaman, Md. Latifur Rahman, Rajib Samadder, Faisal S. Rahaman, Shakhawat Hossain, Tania Akhter Ruhane, Mubarak A. Khan

“…The treated jute fiber was modified to regenerated cellulose (viscose), as confirmed by different characterizations. The Fourier-transform infrared spectroscopy (FTIR) test 1423, 1365, 1033, and 1021 cm−1 represented that modified jute fiber resembled viscose fiber, and TGA attributed the thermal stability of glass transition below 100°C and thermal degradation to jute viscose fiber. …”
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Low-Complexity Vibration-Based Condition Monitoring for Rolling Bearings: A Novel Instantaneous Amplitude–Frequency Approach by Sulaiman Aburakhia, Ismail Hamieh, Sami Muhaidat, Abdallah Shami

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Comparative Analysis of Analytical Methods for Quantifying the Deacetylation Degree in Chitosan Polymer Chains by Talita Martins, Gustavo L. Oliveira, Samuel B. Henriques, Eduardo H.M. Nunes

“…Despite observed differences between methods, all techniques effectively quantified DD, shedding light on factors such as sample solubility, moisture content, baseline correction, and instrument accuracy that contribute to these differences. …”
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Integrated Foliar Spraying Effectively Reduces Wheat Yield Losses Caused by Hot–Dry–Windy Events: Insights from High-Yield and Stable-Yield Winter Wheat Regions in China by Oumeng Qiao, Buchun Liu, Enke Liu, Rui Han, Haoru Li, Huiqing Bai, Di Chen, Honglei Che, Yiming Zhang, Xinglin Liu, Long Chen, Xurong Mei

“…These HDW events were classified according to daily duration into three categories: short-duration (HDW_sd1, 1 h d⁻¹), moderate-duration (HDW_sd2, 2–3 h d⁻¹), and prolonged-duration (HDW_sd3, 4–8 h d⁻¹). Finally, a difference-in-differences (DiD) approach combined with panel matching methods was employed to quantitatively assess the effectiveness of integrated foliar spraying technology—comprising plant growth regulators, essential nutrients, fungicides, and insecticides—on wheat yield improvements under varying irrigation conditions. …”
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On Symmetrical Sonin Kernels in Terms of Hypergeometric-Type Functions by Yuri Luchko

“…For a symmetrical Sonin kernel given in terms of elementary or special functions, its associated kernel has the same form with possibly different parameter values. In the paper, several new kernels of this type are derived by means of the Sonin method in the time domain and using the Laplace integral transform in the frequency domain. …”
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Gasification of Coffee Parchment as Potential Method for Coffee Agro-Industry Waste Utilization by Zahra Fona, Adi Setiawan, Irvan Irvan, Rondang Tambun, Fatimah Fatimah, Muhammad Hadiansyah, Zein Ramadani

“…Coffee parchment is a lignocellulosic waste material which has a potential to transform into synthesis gas. This research aims to study the feasibility of coffee parchment conversion under downdraft gasification with ‘auto-heating’ supply method. …”
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Performance evaluation of perceptible impulsive noise detection methods based on auditory models by Arda Özdoğru, František Rund, Karel Fliegel

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A spatial bearing fault classification method based on improved APSMOTE-WKMFA by CHEN Chao, YANG Chenhao, XU Haosen, WAN Ouying, HAN Liling

“…The maximal overlap discrete wavelet packet transform (MODWPT) is used to obtain the energy distribution of time series in different frequency bands as fault features, which solves the problem that traditional time domain features are difficult to effectively differentiate the operating state of spatial bearings. …”
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Habitat of in vivo transformation influences the levels of free radical scavengers in Clinostomum complanatum: implications for free radical scavenger based vaccines against tremat... by Atif Zafar, Asim Rizvi, Irshad Ahmad, Masood Ahmad

“…<h4>Methods</h4>Using three different animal models for in vivo transformation and markedly different sites of infection, progenetic metacercaria of C. complanatum were transformed to adult ovigerous worms. …”
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Microplastics in food: Occurrence, toxicity, green analytical detection methods and future challenges by Vinay Kumar, Neha Sharma, Mridul Umesh, Payal Gupta, Preeti Sharma, Thazeem Basheer, Lohith Kumar Dasarahally Huligowda, Jithin Thomas, Suraj Kumar Bhagat, Ritu Pasrija

“…Green analytical methods, including stereomicroscopy, Fourier Transform Infrared spectroscopy, Raman spectroscopy, and enzymatic digestion, are evaluated for their efficacy and environmental impact. …”
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Exploration of the causes of abnormal mold level fluctuation in thin slab continuous casting mold by Zhendong Wang, Rudong Wang, Jinrui Liu, Wenwen Yu, Gengyang Li, Heng Cui

“…The discrete wavelet transform (DWT) method is used to decompose the mold level fluctuation and different process parameters. …”
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WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules by Yu Gu, Haotian Bai, Meng Chen, Lidong Yang, Baohua Zhang, Jing Wang, Xiaoqi Lu, Jianjun Li, Xin Liu, Dahua Yu, Ying Zhao, Siyuan Tang, Qun He

“…Abstract Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. …”
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BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information by Lun Zhu, Hao Sun, Sen Yang

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