DEVELOPMENTAL FEATURES OF THE SYSTEM OF REGULATION OF HEART RATE IN A MALE BODY IN STAVROPOL by Olga Alekseevna Butova, Anna Sergeevna Ermakova

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A Review on the Synthesis of Carbon Dots and Their Applications in Environmental Analysis by Yuegang Wang, Qian Wang, Weina Liu, Xin Xin, Bin Zhao

“…Then, we discuss their physical, chemical, and optical features and focus on their diverse applications in environmental analysis, including metal ion sensing, contaminants detection, photocatalysts, and other aspect. …”
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Application of AI in the identification of gastrointestinal stromal tumors: a comprehensive analysis based on pathological, radiological, and genetic variation features by Lei Zheng, Dan-Wen Jin, Hong-Wei Yu, Ze Yu, Li-Yong Qian

“…Recently, the use of artificial intelligence (AI) technologies in medicine has grown significantly, showcasing remarkable potential, especially in analyzing the pathological images, radiological features, and genetic variations. This work compiles the most recent research on the application of AI in detecting and identifying GISTs, focusing on its role in pathological image analysis, the extraction of radiological characteristics, and the interpretation of genomic data. …”
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Machine Learning-Enhanced Discrimination of Gamma-Ray and Hadron Events Using Temporal Features: An ASTRI Mini-Array Analysis by Valentina La Parola, Giancarlo Cusumano, Saverio Lombardi, Antonio Alessio Compagnino, Antonino La Barbera, Antonio Tutone, Antonio Pagliaro

“…The model incorporates feature importance analysis to select the most discriminating temporal parameters from a comprehensive set of time-based features. …”
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Vigilance State Classification of Comatose Patients Based on Multifractal Analysis of EEG Signals by Bechir Hbibi, Lamine Mili, Kamel Baccar, Abdelkader Mami

“…This information can be used for the detection or classification of several diseases using many signal processing methods. …”
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YOLOv11-BSD: Blueberry maturity detection under simulated nighttime conditions evaluated with causal analysis by Runqing Zhang, Wenhui Dong, Pengzhi Hou, Huiqin Li, Xiongwei Han, Qingqiang Chen, Fuzhong Li, Xiaoying Zhang

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SCoralDet: Efficient real-time underwater soft coral detection with YOLO by Zhaoxuan Lu, Lyuchao Liao, Xingang Xie, Hui Yuan

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Multimodal and Temporal Graph Fusion Framework for Advanced Phishing Website Detection by S. Kavya, D. Sumathi

“…Traditional detection approaches are usually based on single-modal features or static analysis, failing to capture the complex, multi-faceted nature of phishing websites and their dynamic behaviors. …”
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Dynamic Tracking and Real-Time Fall Detection Based on Intelligent Image Analysis with Convolutional Neural Network by Ching-Bang Yao, Cheng-Tai Lu

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An attention-enhanced few-shot model for event detection in online social networks by Sielvie Sharma, Tanvir Ahmad, Niyaz Ahmad Wani, Naveed Ahmad, Sadique Ahmad

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A Crowd Density Detection Algorithm for Tourist Attractions Based on Monitoring Video Dynamic Information Analysis by Lina Li

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Breast Cancer Detection Using Infrared Thermography: A Survey of Texture Analysis and Machine Learning Approaches by Larry Ryan, Sos Agaian

“…This survey uniquely focuses on integrating texture analysis and machine learning within infrared thermography for breast cancer detection, addressing the existing literature gaps, and noting that this approach achieves high-ranking results. …”
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An extensive experimental analysis for heart disease prediction using artificial intelligence techniques by D. Rohan, G. Pradeep Reddy, Y. V. Pavan Kumar, K. Purna Prakash, Ch. Pradeep Reddy

“…The feature selection techniques considered for the research are Information Gain, Chi-Square Test, Fisher Discriminant Analysis (FDA), Variance Threshold, Mean Absolute Difference (MAD), Dispersion Ratio, Relief, LASSO, Random Forest Importance, Linear Discriminant Analysis (LDA), and Principal Component Analysis (PCA). …”
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Frequency-informed transformer for real-time water pipeline leak detection by Fengnian Liu, Ding Wang, Junya Tang, Lei Wang

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Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Principal Component Analysis (PCA) for Anomaly Detection by Hanna Arini Parhusip, Suryasatriya Trihandaru, Bambang Susanto, Adrianus Herry Heriadi, Petrus Priyo Santosa, Yohanes Sardjono, Johanes Dian Kurniawan

“…The study measures temperature, humidity, pressure, altitude, PM 1.0, and PM 2.5 and shows the effectiveness of using AIOT-Particle devices to analyze these features with Principal Component Analysis (PCA). Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to detect anomalies during the observation period. …”
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Diagnostic performance of echocardiography for the detection of acute cardiac allograft rejection: a systematic review and meta-analysis. by Wei Lu, Jun Zheng, Xudong Pan, Lizhong Sun

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LungDxNet: AI-Powered Low-Dose CT Analysis for Early Lung Cancer Detection by Jyoti Parashar, Rituraj Jain, Mahesh K. Singh, Ashwani Kumar, Premananda Sahu, Kamal Upreti

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A Novel Dynamic Characteristic for Detecting Breathing Cracks in Blades Based on Vibration Response Envelope Analysis by Minghao Pan, Yongmin Yang, Fengjiao Guan, Haifeng Hu, Zifang Bian, Wenkang Huang, Bohao Xiao, Ang Li

“…Experimental validation confirms the accuracy of the proposed dynamic model and the effectiveness of the proposed feature. The study shows that under identical operational conditions, blades with cracks of equivalent depth and location exhibit maximum sensitivity to crack detection when EDIVR dynamic characteristics are employed as the fault diagnostic criterion. …”
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Eye movement features for assisting differentiation between posterior circulation infarction and vestibular neuritis in patients of acute vestibular syndrome by Mi-Mi Jin, Xin-Lei Mao, Yu-Lian Song, Yang-Yang Zhou, Dao-Lu Zhang, Qing-Qing Zhuang, Xiang-Dong Huang, Si-Liang Zhu, Si-Si He, Wei Chen, Xiong Zhang, Jian-Hong Zhu

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Recurrent neural network-based automated early detection of pandemic-prone diseases through symptoms analysis by Aditika Tungal, Kuldeep Singh, Prabhsimran Singh, Ateeq Ur Rehman, Sandeep Sood, Vishnu Kant, Anand Kumar, Seada Hussen, Habib Hamam

“…Therefore, the current study employs the proposed architecture of a recurrent neural network (RNN) for the accurate identification of patients infected with COVID-19 disease through analysis of its major symptoms. Before classification, extra trees-based feature selection was used to collect the most significant features that accurately characterize COVID-19 positive or COVID-19 negative classes. …”
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