Methodics and tools of cough sound processing on basic of neural net by U. A. Vishniakou, Bahaa Shaya

“…The analysis of works on the methodology and means of processing cough sounds based on the CNN with the reduction of the means used and the accuracy of recognition is carried out. …”
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Modified Index Policies for Multi-Armed Bandits with Network-like Markovian Dependencies by Abdalaziz Sawwan, Jie Wu

“…Comparative analysis with the classical UCB algorithm reveals that MC-UCB consistently achieves approximately a 15% reduction in cumulative regret. …”
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Detoxification Therapy in Critical States of Toxic Etiology by Ye. A. Luzhnikov, Yu. S. Goldfarb

“…Introduction of the above principle of complex detoxification performed by a certain algorithm contributes to the higher rate of freeing the blood and urine from exo- and endogenous toxicants by 1.4-12 times and to the significant (more than 2-fold) mortality reduction achieved in an intensive care unit, Moscow City Center of Acute Intoxication Management.…”
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An Improvement of the Load Transfer Method for Energy Piles Under Thermo-Mechanical Loads by Haofan Yang, Haowen Pan, Chenfeng Zong, Ziyi Wang, Gang Jiang

“…This study investigates the underlying causes of this discrepancy and proposes an iterative method to eliminate unbalanced forces at the pile head, based on the displacement coordination algorithm for energy pile load transfer. The calculated results at the pile head show an 18% reduction in error compared to previous studies. …”
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End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning by Jernej Mlinarič, Boštjan Pregelj, Gregor Dolanc

“…The final classification algorithm achieved classification metrics with high accuracy (99%). …”
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Multiperiod Location–Allocation Optimization of Construction Logistics Centers for Large-Scale Projects in Complex Environmental Regions by Hao Shen, Jin Zhang, Wenjie Sun, Wenguang Yang, Guoqi Li

“…Finally, a large-scale railroad construction project in complex environmental regions is used as an example to prove the effectiveness of the model and algorithm. Compared with the single-period model, the multiperiod model designed in this paper provides a total cost reduction of 8.11% for the CLC location–allocation scheme. …”
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Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual Networks by Haithem Ben Chikha, Alaa Alaerjan, Randa Jabeur

“…This study introduces an innovative algorithm for automatic modulation classification (AMC) built on a deep residual network (DRN) architecture. …”
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Modeling the impact of climate change on suitable areas for the underutilized crop Cyperus esculentus (tiger nut) and implications for production expansion and conservation in Togo... by Koffi Kibalou Palanga, Anissou Bawa, Jacques Idohou Kadjogbé Ayena, Dowo Michée Adjacou, Thierry Dèhouégnon Houehanou, Gérard Nounagnon Gouwakinnou, Armand Kuyema Natta

“…This study aims to model its current and future distribution using the MaxEnt and Bioclim algorithms, incorporating environmental variables and occurrence data from the field and the GBIF database. …”
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FPGA Implementation for 24.576-Gbit/s Optical PAM4 Signal Transmission with MLP-Based Digital Pre-Distortion by Sheng Hu, Tianqi Zheng, Chengzhen Bian, Xiongwei Yang, Xinda Sun, Zonghui Zhu, Yumeng Gou, Yuanxiao Meng, Jie Zhang, Jingtao Ge, Yichen Li, Kaihui Wang

“…Lookup table (LUT) algorithms are commonly employed for pre-distortion in intensity modulation and direct detection (IM/DD) systems. …”
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Single-Shot Femtosecond Raster-Framing Imaging with High Spatio-Temporal Resolution Using Wavelength/Polarization Time Coding by Yang Yang, Yongle Zhu, Xuanke Zeng, Dong He, Li Gu, Zhijian Wang, Jingzhen Li

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Characterization of immune microenvironment associated with medulloblastoma metastasis based on explainable machine learning by Fengmao Zhao, Xiangjun Liu, Jingang Gui, Hailang Sun, Nan Zhang, Yun Peng, Ming Ge, Wei Wang

“…Methods ML models were constructed and validated to predict prognosis and metastasis in MB patients. Eight algorithms were evaluated, and the optimal model was selected. …”
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Integrating bioinformatics and machine learning for comprehensive analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric septic... by Peng Lyu, Na Xie, Xu-peng Shao, Shuai Xing, Xiao-yue Wang, Li-yun Duan, Xue Zhao, Jia-min Lu, Rong-fei Liu, Duo Zhang, Wei Lu, Kai-liang Fan

“…Abstract This study aims to predict and diagnose pediatric septic shock through the screening of immune infiltration-related biomarkers. …”
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Social Media Suicide Watch by Katherine Prothro

“…However, the Samaritan’s Radar app did not notify users that an algorithm was analyzing their content for signs of distress. …”
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Transcription factor networks and novel immune biomarkers reveal key prognostic and therapeutic insights in ovarian cancer by Aiqin Zhao, Sufang Zhou, Xiaoyi Yang, Haiying Lu, Dan Zou, Xuan Zhang, Li Liu

“…To analyze the percentage of invading immune cells, the algorithms CIBERSORT, ESTIMATE, and xCell were used. …”
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Mortality impact, risks, and benefits of general population screening for ovarian cancer: the UKCTOCS randomised controlled trial by Usha Menon, Aleksandra Gentry-Maharaj, Matthew Burnell, Andy Ryan, Jatinderpal K Kalsi, Naveena Singh, Anne Dawnay, Lesley Fallowfield, Alistair J McGuire, Stuart Campbell, Steven J Skates, Mahesh Parmar, Ian J Jacobs

“…There was no significant reduction in ovarian and tubal cancer deaths in either MMS (p = 0.580) or USS (p = 0.360) groups compared to the C group. …”
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Prevalence and associated factors of mammography uptake among the women aged 45 years and above: policy implications from the longitudinal ageing study in India wave I survey by Priyanka Sharma, Dipak Das, Divya Khanna, Atul Budukh, Anita Khokhar, Satyajit Pradhan, Ajay Kumar Khanna, Pankaj Chaturvedi, Rajendra Badwe

“…The national operational framework includes mammography as one of the investigation modalities under the algorithm for early detection and management of breast cancer. …”
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Solving Multi-Objective Complementary Programming Problem (MOCPP) by using Optimal Average by Najmaddin Sulaiman, Abdul-Qader Hamadamin

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Drug related problems and associated factors among thyroid disorder patients in Northwest Ethiopia by Fisseha Nigussie Dagnew, Samuel Agegnew Wondm, Melak Erara Mengistu, Samuel Berihun Dagnew, Tilaye Arega Moges, Gashaw Binega Mekonnen

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Plasma cfDNA multi-omic biomarkers profiling for detection and stratification of gastric carcinoma by Shiyi Song, Xiuli Zhang, Pin Cui, Weihuang He, Jiyuan Zhou, Shubing Wang, Yong Xiong, Shu Xu, Xiaohui Lin, Guozeng Huang, Xiaohua Tan, Qinglong Xu, Yongling Liu, Qingqun Li, Kehua Yuan, Mingji Feng, Hanming Lai, Hui Yang, Shaorong Zhang

“…And these biomarkers were extracted from WGS data to build machine learning algorithm based classifiers, prediction models, to discriminate GC patients from healthy individuals, achieving extremely high precision of sensitivity at 94.87% and specificity at 99.35%. …”
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Rapid discrimination and quantification of chemotypes in Perillae folium using FT-NIR spectroscopy and GC–MS combined with chemometrics by Dai-xin Yu, Cheng Qu, Jia-yi Xu, Jia-yu Lu, Di-di Wu, Qi-nan Wu

“…Based on FT-NIR data, different chemotypes were accurately classified. The random forest algorithm achieved >90 % accuracy in chemotype classification. …”
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