Comparison of Linear and Nonlinear Features of Electroencephalogram to Classify Alcoholic and Non-Alcoholic People by Elizabeth Stewart, Owen Kelly

“…Detecting the presence of alcohol in individuals poses a significant challenge due to the limitations of conventional devices that rely on odor, which is not always reliable. …”
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Defense against Adversarial Attacks in Image Recognition Based on Multilayer Filters by Mingde Wang, Zhijing Liu

“…Although these perturbations are difficult for humans to detect, they can easily mislead deep learning classifiers. …”
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Enhancing brain age estimation under uncertainty: A spectral-normalized neural gaussian process approach utilizing 2.5D slicing by Zeqiang Linli, Xingcheng Liang, Zhenhua Zhang, Kang Hu, Shuixia Guo

“…Here, we introduced Spectral-normalized Neural Gaussian Process (SNGP) accompanied by 2.5D slice approach for seamless uncertainty integration in a single network with low computational expenses, and extra dimensional data integration without added model complexity. Subsequently, we compared different deep learning methods for estimating brain age uncertainty via the Pearson correlation coefficient, a metric that helps circumvent systematic underestimation of uncertainty during training. …”
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Soil Organic Matter Content Prediction Using Multi-Input Convolutional Neural Network Based on Multi-Source Information Fusion by Li Guo, Qin Gao, Mengyi Zhang, Panting Cheng, Peng He, Lujun Li, Dong Ding, Changcheng Liu, Francis Collins Muga, Masroor Kamal, Jiangtao Qi

“…Soil organic matter (SOM) content is a key indicator for assessing soil health, carbon cycling, and soil degradation. Traditional SOM detection methods are complex and time-consuming and do not meet the modern agricultural demand for rapid, non-destructive analysis. …”
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Image-Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches by Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, Rehan Ullah Khan, Ali Mustafa Qamar

“…This survey article explores the complexities inherent in multiclass classification for breast cancer diagnosis, aiming to improve patient care, efficiency, and timeliness. …”
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Enhanced removal of refractory organic pollutants from high-salinity mining wastewater by E-peroxone process by Anni CHEN, Qiang GUO, Yanying YIN, Jingfeng LI, Yixiang BAO, Min WU, Shizuo YI, Jianbing WANG, Huijiao WANG

“…Further theoretical calculations show that the C4 and C8 sites on the benzene ring of DMP are the dominant reaction sites for •OH attack, and transformation products of this reaction pathway were also detected. For the treatment of practical high-salinity mining wastewater, the E-peroxone process also exhibited the highest organic mineralization efficiency and the lowest energy consumption compared with conventional electrolysis and ozonation. …”
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Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…This study provides a new technical solution for extracting pure and impurity-free PEC signals in complex electromagnetic environments.…”
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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…It examines fundamental techniques such as classification, object detection, and segmentation, and extends to more advanced applications like action recognition, object tracking, path prediction, scene generation and retrieval, anomaly detection, Image-to-Image Translation (I2IT), and person re-identification (Person Re-ID). …”
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Identifying and Preserving Parathyroid Glands During Thyroid Surgery Using Indocyanine Green and a Review of the Literature by Maziar Motiee‐Langroudi, Athena Farahzadi, Mohammad Shirkhoda, Habibollah Mahmoodzadeh, Ramesh Omranipour, Amirmohsen Jalaeefar, Iraj Harirchi

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Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

“…This multi-agent system strengthens both the security and computational efficiency by reducing attack vulnerabilities by 15–18 % and lowering the computational complexity by 20–25 %. …”
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Recent advances in the biosynthesis and production optimization of gentamicin: A critical review by Feng Xu, Kaihao Hu, Ali Mohsin, Jie Wu, Lihuan Su, Yuan Wang, Rong Ben, Hao Gao, Xiwei Tian, Ju Chu

“…Gentamicin, an aminoglycoside antibiotic, is generated by a few species within the genus Micromonospora and has garnered significant attention due to its broad-spectrum efficacy in combating numerous infectious diseases. Comprising a complex array of closely related aminoglycoside compounds, the gentamicin B and C complexes emerge as particularly pertinent in clinical contexts. …”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…Hydrological series are influenced by climate change, ecological succession, and human activities, containing complex, multi-layered, and interactive information that reflects highly non-linear and non-stationary characteristics. …”
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Emerging techniques for the trace elemental analysis of plants and food-based extracts: A comprehensive review by Hemant Rawat, Shahnawaz Ahmad Bhat, Daljeet Singh Dhanjal, Rajesh Singh, Yashika Gandhi, Sujeet K. Mishra, Vijay Kumar, Santosh K. Shakya, Ch Venkata Narasimhaji, Arjun Singh, Ravindra Singh, Rabinarayan Acharya

“…Integrating data analytics and machine learning in elucidating complex elementary datasets is explored, underscoring the potential for heightened accuracy and automation in trace elemental analysis. …”
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Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach by Anupinder Singh, Vinay Arora, Mandeep Singh

“…This holds significant potential for the early detection and diagnosis of heart conditions. However, the complexity and variability of PCG signals pose considerable challenges for accurate classification. …”
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A survey of data-driven fault-diagnosis methods for large-scale industrial production processes by Qianxiang YU, Qing LI, Linlin LI, Yixuan WANG

“…Data-driven approaches avoid the dependence on precise modeling; thus, the research focus on fault diagnosis for industrial production processes has gradually shifted from mechanism-based to data-driven methods that integrate historical data, real-time data, and multisource information to enhance the accuracy and efficiency of the fault detection and identification approaches. …”
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Method for Determination of 55Fe in Radioactive Used Oil from Nuclear Power Plant by MA Lina1, 2, FAN Fuyou3, QIU Xiangping3, WANG Lusheng1, 2, DAI Xiongxin1, 2

“…By testing three commercially available scintillation cocktails, the acidic sample media containing 55Fe mixed with Ultima GoldTM LLT has the lowest detection limit and highest counting efficiency for LSC measurements of 55Fe. …”

3D-modeling Capabilities in Assessing Resectability of Pancreatic Head Tumors by A. S. Kudashkina, I. G. Kamyshanskaya, K. V. Pavelets, D. S. Rusanov, S. А. Kalyuzhnyy

“…Despite the successes of modern diagnostics and surgical treatment, the problem of early detection, staging of oncologic process and, as a consequence, combined treatment of pancreatic head cancer remains actual.Objective: increasing the accuracy of diagnostics and estimation of resectability of the pancreatic head cancer on the basis of the complex use of the radiation methods of investigation with pancreaticoduodenal zone 3D-reconstructions.Material and methods. …”
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Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management by Yali Zeng, Zahraa Abed Hussein, Mustafa Habeeb Chyad, Amirfarhad farhadi, Jianyong Yu, Hesam Rahbarimagham

“…Specifically, the hybrid system achieved a 10.96% increase in load management efficiency and a 12.64% reduction in fault detection time compared to traditional methods. …”
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Enhancing bloodstream infection diagnostics: a novel filtration and targeted next-generation sequencing approach for precise pathogen identification by Ting-Syuan Lin, Ting-Syuan Lin, Ting-Syuan Lin, ZiHao Zhu, ZiHao Zhu, ZiHao Zhu, XiaoHong Lin, Hsi-Yuan Huang, Hsi-Yuan Huang, Hsi-Yuan Huang, Li-Ping Li, Li-Ping Li, Li-Ping Li, Jing Li, Jing Li, Jing Li, Jie Ni, Jie Ni, Jie Ni, PeiZhi Li, LanChun Chen, WeiXin Tang, HuiXin Liu, XiaoLong Se, MingFei Xie, Canling Long, Chih-Min Chiu, Szu-Han Fang, JiaMing Zhao, Yang-Chi-Dung Lin, Yang-Chi-Dung Lin, Yang-Chi-Dung Lin, XueTao Yu, Hsien-Da Huang, Hsien-Da Huang, Hsien-Da Huang, Hsien-Da Huang

“…The filtration membrane, designed with surface charge properties to be electrostatically attractive to leukocytes for the selective capture of specific cells, demonstrated high efficiency in removing host cells and nucleic acids, achieving over a 98% reduction in host DNA and thereby minimizing background interference in pathogen detection. …”
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Design and Calibration of Electron Stack Spectrometer for Diagnosing Hot Electron Temperature in Intense Laser-plasma Interactions by BO Nan1, 2, TIAN Baoxian2, WANG Haoran3, 4, WANG Naiyan2

“…Unlike prior studies that assumed identical response coefficients for electrons and gamma rays, this work highlights potential differences in coefficients. …”
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