Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

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PK-Judge: Enhancing IP Protection of Neural Network Models Using an Asymmetric Approach by Wafaa Kanakri, Brian King

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Naive Bayes Classification for Software Defect Prediction by Edwin Hari Agus Prastyo, Muhammad Ainul Yaqin, Suhartono, M. Faisal, Reza Augusta Jannatul Firdaus

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Real-Time Image Semantic Segmentation Based on Improved DeepLabv3+ Network by Peibo Li, Jiangwu Zhou, Xiaohua Xu

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Genie: Enhancing information management in the restaurant industry through AI-powered chatbot by Megha Gupta, Venkatasai Dheekonda, Mohammad Masum

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Global Methane Budget 2000–2020 by M. Saunois, A. Martinez, B. Poulter, Z. Zhang, Z. Zhang, P. A. Raymond, P. Regnier, J. G. Canadell, R. B. Jackson, P. K. Patra, P. K. Patra, P. Bousquet, P. Ciais, E. J. Dlugokencky, X. Lan, X. Lan, G. H. Allen, D. Bastviken, D. J. Beerling, D. A. Belikov, D. R. Blake, S. Castaldi, M. Crippa, B. R. Deemer, F. Dennison, G. Etiope, G. Etiope, N. Gedney, L. Höglund-Isaksson, M. A. Holgerson, P. O. Hopcroft, G. Hugelius, A. Ito, A. K. Jain, R. Janardanan, M. S. Johnson, T. Kleinen, P. B. Krummel, R. Lauerwald, T. Li, X. Liu, K. C. McDonald, J. R. Melton, J. Mühle, J. Müller, F. Murguia-Flores, Y. Niwa, Y. Niwa, S. Noce, S. Pan, R. J. Parker, C. Peng, C. Peng, M. Ramonet, W. J. Riley, G. Rocher-Ros, J. A. Rosentreter, M. Sasakawa, A. Segers, S. J. Smith, S. J. Smith, E. H. Stanley, J. Thanwerdas, J. Thanwerdas, H. Tian, A. Tsuruta, F. N. Tubiello, T. S. Weber, G. R. van der Werf, D. E. J. Worthy, Y. Xi, Y. Yoshida, W. Zhang, W. Zhang, B. Zheng, B. Zheng, Q. Zhu, Q. Zhu, Q. Zhuang

“…Following Saunois et al. (2016, 2020), we present here the third version of the living review paper dedicated to the decadal CH<span class="inline-formula">₄</span> budget, integrating results of top-down CH<span class="inline-formula">₄</span> emission estimates (based on in situ and Greenhouse Gases Observing SATellite (GOSAT) atmospheric observations and an ensemble of atmospheric inverse-model results) and bottom-up estimates (based on process-based models for estimating land surface emissions and atmospheric chemistry, inventories of anthropogenic emissions, and data-driven extrapolations). …”
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Predicting per capita expenditure using satellite imagery and transfer learning: A case study of east Java province, Indonesia by Heri Kuswanto, Wahidatul Wardah Al Maulidiyah, Widhianingsih Tintrim Dwi Ary, Yudistira Ashadi

“…To enable more efficient policy-making, predicting the poverty rate before the release of Statistics Indonesia (BPS) data is essential. …”
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Sensitive and specific peak detection for SELDI-TOF mass spectrometry using a wavelet/neural-network based approach. by Vincent A Emanuele, Gitika Panicker, Brian M Gurbaxani, Jin-Mann S Lin, Elizabeth R Unger

“…This suggests that there continues to be problems with SELDI preprocessing. In this work, we study the preprocessing of SELDI in detail and introduce improvements. …”
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GRADIENT DESCENT METHOD AND PARAMETER SELECTION FOR IMAGE RESTORATION PROBLEM by Nguyen Dinh Dung

“…Image restoration is often considered one of the data processing steps before the training process for machine learning models is performed. …”
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An XNet-CNN Diabetic Retinal Image Classification Method by CHEN Yu, ZHOU Yujia, DING Hui

“…First, image preprocessing includes noise removal, numerical normalization, and data volume amplification; then, a new neural network model, XNet, is designed. …”
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Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…Data preprocessing encompasses managing missing data, processing categorical variables, and tackling issues related to class imbalance. …”
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Vehicle detection and recognition approach in smart surveillance system: A comparative analysis by Stephanie Ness

“…This paper addresses the key issue of vehicle detection and recognition, for these two complex datasets, VRiV and UCSD are considered to segregate between vehicle and non-vehicle objects using video analysis. For data analysis we apply basic preprocessing, which includes frame conversion, background subtraction, noise reduction, and resizing. …”
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A Novel Classification Method for Flutter Signals Based on the CNN and STFT by Shiqiang Duan, Hua Zheng, Junhao Liu

“…Necessary model calculation simplifications, uncertainty in actual wind tunnel test, and data acquisition system error altogether lead to error between a set of actual experimental results and a set of theoretical design results; wind tunnel test flutter data can be utilized to feedback this error. …”
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Automated image segmentation for accelerated nanoparticle characterization by Alexandra L. Day, Carolin B. Wahl, Roberto dos Reis, Wei-keng Liao, Youjia Li, Muhammed Nur Talha Kilic, Chad A. Mirkin, Vinayak P. Dravid, Alok Choudhary, Ankit Agrawal

“…Using established 4D-STEM acquisition times as a baseline, our method demonstrates a 25.0 to 29.1-fold reduction in total processing time. By automating this crucial preprocessing step and optimizing data acquisition, our pipeline significantly accelerates materials characterization workflows while reducing unnecessary data collection.…”
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Synergistic Integration of Edge Computing and 6G Networks for Real-Time IoT Applications by Ahmed M. Alwakeel

“…The rapid proliferation of Internet of Things (IoT) applications necessitates real-time data processing and low-latency communication, challenging traditional cloud computing paradigms. …”
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A Study on Surface Anomaly Detection for Metro Vehicle Underbody Parts Based on 3D Point Cloud by PENG Liantie, LI Chen, XIONG Minjun, YAN Jiayun, CUI Xiaoyang, LIU Leixinyuan

“…Finally, using actual data from a metro company as a test set, it was verified that the new method, while ensuring a detection rate not lower than the original method, eliminates over 90% of false alarms, significantly reducing false detection rates. …”
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Detection of Tomato Leaf Pesticide Residues Based on Fluorescence Spectrum and Hyper-Spectrum by Jiayu Gao, Xuhui Yang, Simo Liu, Yufeng Liu, Xiaofeng Ning

“…R² of the model of fluorescence spectral data after SG-MSC preprocessing and SVM modeling reached 0.9986, RMSEC reached 0.2496, and RMSEP reached 0.4193. …”
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Efficient keyword spotting system for information retrieval by LUO Jun, OU Zhi-jian

“…A new two-stage keyword spotting system was proposed based on syllable graph for audio information retrieval task,which could efficiently spot the interesting words in mass speech data,thus serve for the national security.It comprised two stages – preprocessing and searching.In the preprocessing stage,the audio data was recognized into syllable graph which included high accuracy syllable candidates,and unsupervised MLLR（maximum likelihood linear regression） adaptation was carried out iteratively to further improve the accuracy of the syllable graph.In the searching stage,to answer the frequent queries from users,searching for matched keywords was only scanned in the graph for likely syllable strings.A forward-backward algorithm based on syllable N-grammar was used to calculate confidence measures for further filtering of the searching result.Experimental results show the system achieved good performances in both recall rate and accuracy rate,and in the searching stage only 0.01 times of real time is needed,which can meet the demand for fast retrieval.…”
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Estimasi Gender Berbasis Sidik Jari dengan Wavelet dan Support Vector Machine by Sri Suwarno, Aditya Wikan Mahastama

“…Metode ini menunjukkan waktu komputasi yang cepat karena tidak memerlukan preprocessing, komputasinya sederhana dan dengan jumlah sampel data yang tidak banyak.   …”
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A Rapid and Nondestructive Quality Detection Approach for Yongchuan Xiuya Tea Based on NIRS and siPLS-ANN Method by Ying Zhang, Jie Wang, Xiuhong Wu, Rui Chang, Hongyu Luo, Juan Yang, Quan Wu, Ze Xu, Yingfu Zhong

“…The optimal spectral preprocessing approach identified in this study is a combination of multiplicative scatter correction and second derivative processing. …”
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