An Efficient Model for Real-Time Traffic Density Analysis and Management Using Visual Graph Networks by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

“…Traffic dynamics in cities are complex, and traditional signal timing methods and simple vehicle detection cannot handle them. The paper describes a method for improving urban traffic studies using Real-time Dense Analysis and Management using Visual Graph Networks (RDAMVGN) that utilizes deep learning techniques along with Visual Graph Networks based on visualizations. …”
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Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

“…This study introduces an enhanced Intrusion Detection System (IDS) framework for Denial-of-Service (DoS) attacks, utilizing network traffic inter-arrival time (IAT) analysis. …”
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Diagnostic performance and clinical utility of metagenomic next-generation sequencing in suspected central nervous system infections: a prospective comparative study by Xiao-guang Cao, Xiong-feng Zhu, Zha Yu, Chun-yan Wang, Min Shao, Hua-dong Meng, Chong-jian Huang

“…Receiver operating characteristic (ROC) analysis demonstrated superior diagnostic accuracy for continuous CSF variables over binary ones, with mNGS showing robust performance [area under the curve (AUC) = 0.794].ConclusionmNGS offers rapid and accurate pathogen detection, outperforming conventional methods in sensitivity and turnaround time, and provides valuable guidance for individualized antimicrobial treatment in CNS infections.…”
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Exploring Task-Related EEG for Cross-Subject Early Alzheimer’s Disease Susceptibility Prediction in Middle-Aged Adults Using Multitaper Spectral Analysis by Ziyang Li, Hong Wang, Jianing Song, Jiale Gong

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Graphical Empirical Mode Decomposition–Convolutional Neural Network-Based Expert System for Early Corrosion Detection in Truss-Type Bridges by Alan G. Lujan-Olalde, Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, Martin Valtierra-Rodriguez, Jose M. Machorro-Lopez, Juan P. Amezquita-Sanchez

“…This study proposes an expert system based on a novel methodology for corrosion detection using vibration signal analysis. The approach employs graphical empirical mode decomposition (GEMD) to decompose vibration signals into their intrinsic mode functions, extracting relevant structural features. …”
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Detection of Retinal and Choriocapillaris Microvascular Changes in Retinal Vein Occlusion and Fellow Eyes by Optical Coherence Tomography Angiography: A Systematic Review and Meta-... by Linxin Wei, Qing Zhao, Youxin Chen

“…Abstract Introduction This study aims to summarize the retinal and choroidal microvascular features detected by optical coherence tomography angiography (OCTA) in the affected and fellow eyes of patients with retinal vein occlusion (RVO). …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

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PatchDetect: Breast Cancer Detection combining Unet-ResNet-50 and Patch Embedding LSTM by Hadj Ahmed Bouarara, kadda benyahia

“… This study presents a novel framework for breast cancer detection, combining patch embedding, feature extraction using a pre-trained Convolutional Neural Network (CNN) model (ResNet50), Long Short-Term Memory (LSTM) networks for image sequence analysis, and Fully Connected Layers for final classification. …”
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Analysis of a mouse germ cell tumor model establishes pluripotency-associated miRNAs as conserved serum biomarkers for germ cell cancer detection by Amanda R. Loehr, Dennis M. Timmerman, Michelle Liu, Ad J. M. Gillis, Melia Matthews, Jordana C. Bloom, Peter K. Nicholls, David C. Page, Andrew D. Miller, Leendert H. J. Looijenga, Robert S. Weiss

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Prediction of Total Soluble Solids in Apricot Using Adaptive Boosting Ensemble Model Combined with NIR and High-Frequency UVE-Selected Variables by Feng Gao, Yage Xing, Jialong Li, Lin Guo, Yiye Sun, Wen Shi, Leiming Yuan

“…This study develops an advanced framework integrating adaptive boosting (Adaboost) ensemble learning with high-frequency spectral variables selected by uninformative variable elimination (UVE) for the rapid non-destructive detection of fruit quality. Near-infrared (NIR) spectra (1000~2500 nm) were acquired and then preprocessed through robust principal component analysis (ROBPCA) for outlier detection combined with z-score normalization for spectral pretreatment. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Objectives For the detection and analysis of lung nodules in symptomatic, incidental, screening or surveillance populations, the following key questions are asked. …”
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Modeling Dual-Task Performance: Identifying Key Predictors Using Artificial Neural Networks by Arash Mohammadzadeh Gonabadi, Farahnaz Fallahtafti, Judith Heselton, Sara A. Myers, Ka-Chun Siu, Julie Blaskewicz Boron

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HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…However, existing networks are constrained by fixed scales and the absence of temporal dynamics, with insufficient consideration of multi-scale features, thereby limiting their semantic representation and dynamic analysis capabilities. …”
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Selecting a Superior Landing Area in the Region Far From Procellarum KREEP Terrane by Wenqing Chang, Zhiguo Meng, Xuegang Dong, Meng Zou, Xiaoping Zhang, Yuanzhi Zhang

“…Utilizing high-resolution images, topographic data, surface compositions, and Chang'e-2 microwave radiometer (MRM) data, a systematic analysis and comparison have been done between Maria Crisium and Smythii in terms of geomorphological feature, regolith properties, lunar crust and mantle properties, and microwave thermal emission characteristics. …”
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Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion by Si Kaihao

“…Sarcasm detection significantly enhances the performance of various natural language processing applications, such as sentiment analysis, opinion mining, and stance detection. …”
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Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment by Hossein Babajanian Bisheh, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…In this paper, a new structural damage detection framework is proposed based on vibration analysis and pattern recognition, which consists of two stages: (1) signal processing and feature extraction and (2) damage detection by combining the classification result. …”
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On Guaranteed Detectability for Surveillance Sensor Networks by Yanmin Zhu

“…The unique features of GAP are threefold. First, it provides guaranteed detectability for any event occurring in the sensing field. …”
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Choosing Bacterial Endotoxin Detection Method by O. V. Shapovalova, N. P. Neugodova, G. A. Sapozhnikova

“…In this article we consider the features of modern methods for detecting bacterial endotoxins, their advantages and disadvantages. …”
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Unique pathological features and drug resistance patterns in cutaneous tuberculosis by Yuejiao Liu, Runrui Wu, Junjun Liu, Jinlong Dai, Dongxu Liu, Yadong Liu, Yumei Liang, Wen Chen

“…In this study, we conducted a comparative analysis of 59 CTB samples and 59 pulmonary tuberculosis samples, focusing on their clinicopathological features. …”
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Epidemiological and clinical features of lymphoproliferative diseases in the head and neck region by F. Sh. Kamolova, A. M. Mudunov, P. A. Zeynalova, L. Yu. Grivtsova, G. F. Allakhverdieva, R. I. Azizyan, A. A. Akhundov, I. A. Zaderenko, M. V. Bolotin, D. K. Stelmakh, V. I. Sokorutov, K. D. Il’kaev, V. T. Tsiklauri, I. M. Gelfand, M. B. Pak, O. L. Timofeeva, Yu. E. Ryabukhina, F. M. Abbasbeyli, Ts. Chzhao

“…Based on the analysis of clinical and morphological features of head and neck lymphomas, epidemiological and clinical features are described in detail, and differences in the symptoms and clinical manifestations of non-Hodgkin’s and Hodgkin’s lymphomas with a predominant head and neck involvement are revealed.…”
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