Data-driven bottleneck detection on Tehran highways by Hamid Mirzahossein, Pedram Nobakht, Iman Gholampour

“…The image processing approach involves color-based segmentation, pixel-level analysis, and machine learning algorithms to determine congestion levels across the highway network. …”
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Computational analysis and experimental validation of gene predictions in Toxoplasma gondii. by Joseph M Dybas, Carlos J Madrid-Aliste, Fa-Yun Che, Edward Nieves, Dmitry Rykunov, Ruth Hogue Angeletti, Louis M Weiss, Kami Kim, Andras Fiser

“…Commonly used gene prediction algorithms produce very disparate sets of protein sequences, with pairwise overlaps ranging from 1.4% to 12%. …”
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Detection of Hepatocellular Carcinoma Using Optimized miRNA Combinations and Interpretable Machine Learning Models by Zhengwu Long, Lisheng Zhang

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Digital education as a new pedagogical paradigm by Fatima Anzaurovna Tuguz

“…The society is characterized by the expansion of digital services into all spheres of human life, including education. The digital technology sector plays a leading role in the development of a digital society. …”
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PUBLICATIONS OF HISTORIANS OF THE COSSACK EMIGRATION AS A SOURCE OF INFORMATION ON THE NEW ECONOMIC POLICY IN THE DON AND KUBAN REGIONS (1920-s) by A. Baranov, O. Ratushnyak

“…Conclusions on the closeness of the algorithms of analysis and political focus of the work of historians of the Cossack abroad (P. …”
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3-PARAMETER GAMMA REGRESSION MODEL FOR ANALYZING HUMAN DEVELOPMENT INDEX OF CENTRAL JAVA PROVINCE by Hasbi Yasin, Syarifah Inayati, Setiawan Setiawan

“…The HDI is based on three basic dimensions: a long and healthy life, knowledge, and a decent standard of living. …”
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Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models by Oluseyi Rotimi Taiwo, Helen Onyeaka, Elijah K. Oladipo, Julius Kola Oloke, Deborah C. Chukwugozie

“…These models represent the dynamic interactions between intrinsic and extrinsic food factors as mathematical equations and then apply these data to predict shelf life, spoilage, and microbial risk assessment. Due to their ability to predict the microbial risk, these tools are also integrated into hazard analysis critical control point (HACCP) protocols. …”
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Methodological Basis and Experience of Using Data Mining Methods in Trade by D. T. Kaiyp, M. G. Zhartybayeva, Zh. O. Oralbekova

“…Since financial activity is closely related to our social life, the use of data mining methods plays an essential role in the analysis and forecasting of the financial market in the modern era of big data. …”
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Influence of Clinician-Related Factors on Adherence to the American Heart Association Guidelines for Acute Coronary Syndrome among Clinicians at Kenya Ports Authority clinics in Mo... by Mary Kavinya Mailu, Nilufa Jivraj Shariff, Ruth Mbugua

“…Adherence to standardized clinical guidelines, such as the American Heart Association’s Advanced Cardiac Life Support (ACLS), is essential to optimize patient outcomes. …”
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Intelligent Processing Methods by Veronika V. Tolmanova, Denis A. Andrikov

“…Nowadays, in the era of information technology, intelligent data processing methods play an important role in various spheres of life. These methods, together with modern algorithms and computer models, allow extracting valuable information from huge volumes of raw data, as well as analyzing and forecasting various phenomena and trends. …”
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Machine Learning-Based Methodologies for Cyber-Attacks and Network Traffic Monitoring: A Review and Insights by Filippo Genuario, Giuseppe Santoro, Michele Giliberti, Stefania Bello, Elvira Zazzera, Donato Impedovo

“…The proposed work compares both shallow learning algorithms, such as decision trees, random forests, Naïve Bayes, logistic regression, XGBoost, and support vector machines, and deep learning algorithms, such as DNNs, CNNs, and LSTM, whose approach is relatively new in the literature. …”
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Management of paediatric ankylosis by Neelam Noel Andrade, Prathmesh Kapoor, Paul Mathai, Varsha Gupta, V.K. Lakshmi, Shelly Sharma

“…The incidence of TMJa is most common in the paediatric population [first and second decades of life] and is commonly associated with maxillofacial trauma. …”
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Multilayer Network Modeling for Brand Knowledge Discovery: Integrating TF-IDF and TextRank in Heterogeneous Semantic Space by Peng Xu, Rixu Zang, Zongshui Wang, Zhuo Sun

“…The results reveal that consumers prioritize attributes such as “camera performance”, “operational speed”, “screen quality”, and “battery life”. Notably, the overlap layer exhibits the highest node centrality, indicating convergent consumer focus across algorithms. …”
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Boosting brain-computer interface performance through cognitive training: A brain-centric approach by Ziyuan Zhang, Ziyu Wang, Kaitai Guo, Yang Zheng, Minghao Dong, Jimin Liang

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Autonomous novel class discovery for vision-based recognition in non-interactive environments by Xuelin Zhang, Feng Liu, Xuelian Cheng, Siyuan Yan, Zhibin Liao, Zongyuan Ge

“…Visual recognition with deep learning has recently been shown to be effective in robotic vision. However, these algorithms tend to be build under fixed and structured environment, which is rarely the case in real life. …”
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Case Report: Ileal Pouch-Anal Anastomosis for Diffuse Benign Cavernous Vascular Malformation by Evan Adams, Michael Kozak, Charles Browning, Danielle Hutchings, Phil Fleshner

“…Gastroenterologists and colorectal surgeons should be familiar with this condition due to high morbidity and unique treatment algorithms.…”
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HuBot: A biomimicking mobile robot for non-disruptive bird behavior study by Lyes Saad Saoud, Loïc Lesobre, Enrico Sorato, Saud Al Qaydi, Yves Hingrat, Lakmal Seneviratne, Irfan Hussain

“…The biomimetic design of the robot, including its life-like appearance and movement capabilities, minimizes disturbance, allowing for monitoring of Houbara birds while minimizing disruption to their behavior. …”
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Methodology for Enablement of Human Digital Twins for Quality Assurance in the Aerospace Manufacturing Domain by Christopher Lee Colaw, Garrett Madison, Bill Tseng, Grayson Michael Griser, Gage Truelson, Adam Gallo, Yildirim Hurmuzlu

“…Human operators who perform defined manufacturing assembly operations in real life in the cell can utilize this methodology to digitize their performance and provide objective evidence of conformity and safety messaging for their human-centric manufacturing operation in real time. …”
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Predictors of Acute Myocardial Infarction: A Machine Learning Analysis After a 7-Year Follow-Up by Marco Casciaro, Pierpaolo Di Micco, Alessandro Tonacci, Marco Vatrano, Vincenzo Russo, Carmine Siniscalchi, Sebastiano Gangemi, Egidio Imbalzano

“…We found that the potential of machine learning to predict life-threatening events is significant. <b>Conclusions:</b> Machine learning algorithms can be used to create models to identify patients at risk for acute myocardial infarction. …”
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Autonomous Driving Road Environment Recognition with Multiscale Object Detection by Jeny J.R.V., Divya Phulari, Varsha Kolanu, Mrunalini Anantha, Irfan S.K.M.

“…By means of the smooth integration of these models, the proposed system exhibits resilience and efficiency in various real-life situations, indicating noteworthy progressions in the field of autonomous driving technology. …”
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