Optical Interference Analysis of ZIF-8 Films for Chemical Vapor Detection by Anna Estany-Macià, Sachin Navale, Ignasi Fort-Grandas, Nirav Joshi, Albert Romano-Rodríguez, Mauricio Moreno-Sereno

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Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection by Momina Qureshi, Muhammad Athar Javed Sethi, Sayed Shahid Hussain

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Study on the Identification Method of Planar Geological Structures in Coal Mines Using Ground-Penetrating Radar by Jialin Liu, Xiaosong Tang, Feng Yang, Xu Qiao, Fanruo Li, Suping Peng, Xinxin Huang, Yuanjin Fang, Maoxuan Xu

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Performance Evaluation of Different Speech-Based Emotional Stress Level Detection Approaches by Jan Stas, Stanislav Ondas, Jozef Juhar

“…A detailed comparative analysis of their speech characteristics, including fundamental frequency (<inline-formula> <tex-math notation="LaTeX">$F_{0}$ </tex-math></inline-formula>), formant frequencies (<inline-formula> <tex-math notation="LaTeX">$F_{1}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$F_{2}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$F_{3}$ </tex-math></inline-formula>), voice intensity, harmonic-to-noise ratio, jitter, and shimmer, was conducted to investigate how these features change with increasing stress and contribute to its detection. …”
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Clinical profile and molecular genetic analysis of alport syndrome in children: a single center experience by Aqsa Ahmad, Aqsa Ahmad, Liang Lijun, Zhang Yan, Zhang Yan, Ma Yan, Zhao Shuai, Zhao Shuai, Du Wangnan, Du Wangnan

“…Nine different variants were detected, with 3 mutations identified as novel. Two cases underwent histopathological analysis, revealing a thin basement membrane and mild to moderate mesangial proliferation. …”
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Detection of phishing portals through machine learning algorithms by E. A. Trushnikov

“…Objective Analysis and practical implementation of the phishing portal detection functionality through machine learning algorithms. …”
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A genetic programming approach with adaptive region detection to skin cancer image classification by Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang

“…A new region detection function has been developed to select the lesion areas from skin images for feature extraction. …”
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Anomaly distribution acquisition method for probabilistic damage tolerance assessment of hole features by Guo Li, Huimin Zhou, Junbo Liu, Shuyang Xia, Shuiting Ding

“…The default anomaly distribution of hole features has been established and published in airworthiness advisory circular 33.70-2 based on historical anomaly data collected from cracked or ruptured parts recorded in laboratory analysis reports of the special industries before 2005. …”
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BWFER-YOLOv8: An Enhanced Cascaded Framework for Concealed Object Detection by Khalid Ijaz, Ikramullah Khosa, Ejaz A. Ansari, Syed Farooq Ali, Asif Hussain, Faran Awais Butt

“…The comprehensive quantitative and qualitative analysis reveals that the proposed framework outperforms the state-of-the-art tiny YOLOv3 and YOLOv8 models by achieving 98.1% precision and recall in detecting concealed weapons. …”
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Wind Turbine Blade Fault Detection Method Based on TROA-SVM by Zhuo Lei, Haijun Lin, Xudong Tang, Yong Xiong, He Wen

“…Rigorous analysis and feature selection are subsequently conducted to eliminate redundant data, thereby focusing on retaining the most significant features for classification. …”
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IoT intrusion detection method for unbalanced samples by ANTONG P, Wen CHEN, Lifa WU

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Automatic detection method of software upgrade vulnerability based on network traffic analysis by Jinhui TENG, Yan GUANG, Hui SHU, Bing ZHANG

“…During the software upgrade process,the lack of authentication for upgrade information or packages can lead to remote code execution vulnerabilities based on man-in-the-middle attack.An automatic detection method for upgrading vulnerabilities was proposed.The method described the upgrade mechanism by extracting the network traffic during the upgrade process,then matched it with the vulnerability feature vector to anticipate upgrading vulnerabilities.In a validation environment,the man-in-the-middle attack using the portrait information was carried out to verify the detection results.In addition,an automatic vulnerability analysis and verification system based on this method was designed.184 Windows applications samples was test and 117 upgrade vulnerabilities were detected in these samples,which proved validity of the method.…”
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A critical review of technical case studies for electricity theft detection in smart grids: A new paradigm based transformative approach by Muhammad Sajid Iqbal, Shoaib Munawar, Muhammad Adnan, Ali Raza, Muhammad Ali Akbar, Amine Bermak

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Explainable AI Highlights the Most Relevant Gait Features for Neurodegenerative Disease Classification by Gianmarco Tiddia, Francesca Mainas, Alessandra Retico, Piernicola Oliva

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Breath Detection from a Microphone Using Machine Learning by Tomasz Sankowski, Piotr Sulewski, Jan Walczak, Aleksandra Bruska

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Integrating multiple terrain features for artefact detection in the newly released TanDEM-X 30 m DEM and DCM over the Loess Plateau by Xingang Zhang, Shanchuan Guo, Zilong Xia, Haowei Mu, Bing Wang, Bin Cui, Hong Fang, Peijun Du

“…To address this limitation, a novel artefact detection framework integrating multiple terrain features was proposed. …”
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Machine Learning Approach for Biopsy-Based Identification of Eosinophilic Esophagitis Reveals Importance of Global features by Tomer Czyzewski, Nati Daniel, Mark Rochman, Julie Caldwell, Garrett Osswald, Margaret Collins, Marc Rothenberg, Yonatan Savir

“…One of the main challenges in automating this process, like many other biopsy-based diagnostics, is detecting features that are small relative to the size of the biopsy. …”
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Multilevel Feature Interaction Network for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo

“…Notably, this study is the first to address ways to enhance the performance for HSR remote sensing image analysis by iteratively refining features at multilevels for different tasks. …”
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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…A novel multiscale enhanced convolution module has been introduced to improve the model’s feature extraction capabilities for small-sized targets. …”
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Clinicopathological analysis of adrenal intravascular large B-cell lymphoma by LIN Jiaxin, WEI Ran, SHUI Ruohong, LU Hongfen, LI Xiaoqiu, YU Baohua

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