Use of artificial intelligence to support prehospital traumatic injury care: A scoping review by Jake Toy, Jonathan Warren, Kelsey Wilhelm, Brant Putnam, Denise Whitfield, Marianne Gausche‐Hill, Nichole Bosson, Ross Donaldson, Shira Schlesinger, Tabitha Cheng, Craig Goolsby

“…We included original research and conference presentations evaluating AI models—machine learning (ML), deep learning (DL), and natural language processing (NLP)—that used prehospital features or features available immediately upon emergency department arrival. …”
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THE PLACE AND ROLE OF KYRGYZSTAN IN THE DEVELOPMENT OF THE EURASIAN ECONOMIC UNION by V. V. Perskaya

“…It reveals the importance of Kyrgyzstan’s participation in the Eurasian Economic Union based on the preservation of national statehood and sovereignty in the domestic and foreign policy and the synchronized government regulation of the investment and business environment within the Eurasian Economic Union.In pursuing its national interests, Kyrgyzstan is trying to carry out a targeted balanced multi-vector foreign policy. At the same time Kyrgyzstan’s foreign policy activities commensurate with its own potential and involvement in the world process. …”
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Artificial Intelligence-Based Prediction Model for Maritime Vessel Type Identification by Hrvoje Karna, Maja Braović, Anita Gudelj, Kristian Buličić

“…It incorporates both the deep learning techniques for initial image representation and traditional image processing and machine learning methods for subsequent image classification. …”
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A Parallel Approach to Generate Sports Highlights from Match Videos Using Artificial Intelligence by Arjun Sivaraman, Tarun Kannuchamy, Anmol Anand, Shivam Dheer, Devansh Mishra, Narayanan Prasanth, S. P. Raja

“…The approach involves creating a list of words (wordnet) that indicate a highlight and comparing it with the commentary audio’s transcript to find a similarity, making use of a speech-to-text conversion, followed by some pre-processing of the extracted text, vectorization and finally measurement of the cosine similarity metric between the text and the wordnet. …”
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Loop-induced masses for the first two generations with optimum flavour violation by Gurucharan Mohanta, Ketan M. Patel

“…Moreover, the gauge charges are optimized to result in relatively smaller flavour violations in processes involving the first and second generation fermions. …”
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Presenting a Hybrid Model based on the Machine Learning for the Classification of Banking and Insurance Industry Common Customers by Hamidreza Amirhassankhani, Abbas Toloie Eshlaghy, Reza Radfar, Alireza pourebrahimi

“…<p>Global competition, dynamic markets, and rapidly shrinking innovation and technology cycles, all have imposed significant challenges on the financial, banking, and insurance industries and the need to data analysis for improving decision-making processes in these organizations has become increasingly important. …”
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Graphic File Formats by Ricky Telg, Ashley McLeod-Morin

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A simple method to generate stable cell lines for the analysis of transient protein-protein interactions by Emilia Elizabeth Savage, Denise Wootten, Arthur Christopoulos, Patrick Michael Sexton, Sebastian George Barton Furness

“…Transient protein-protein interactions form the basis of signal transduction pathways in addition to many other biological processes. One tool for studying these interactions is bioluminescence resonance energ y transfer (BRET). …”
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Evaluation of Multi-Class Classification Performance Lung Cancer Through K-NN and SVM Approach by Muh. Indra Endriartono Saputra Troy, Sitti Rahmah Jabir, Siska Anraeni

“…In an effort to improve diagnosis and treatment, this study proposes an approach for multiclass performance evaluation using K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) algorithms based on 2024 data. in this study KNN is implemented conventionally while SVM applies 2 kernel processes, namely Linear and Polynominal. …”
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DC MOTOR DISCRETE CONTROL TECHNIQUE by Andrey Razmikovich Aydinyan, Olga Leonidovna Tsvetkova, Alexander Alexeyevich Molchanov

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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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On the tracks of an uninvited guest, the Asian tiger mosquito, Aedes albopictus in Cyprus by Riccardo Piccinno, Giulia Fiorenza, Marlen Ines Vasquez, Jeremy Bouyer, Gregoris Notarides, Ludvik Marcus Gomulski, Soteris Meletiou, Mustafa Akiner, Antonios Michaelakis, Federico Forneris, Giovanni Maga, Giuliano Gasperi, Anna Rodolfa Malacrida

“…Cyprus remained free of Ae. albopictus until October 2022, when specimens were recorded for the first time in Limassol district, including the port area. Understanding the processes associated with the introduction, expansion and establishment of this vector in Cyprus is of primary importance to mitigate its dispersal on the island, and to implement control methods to prevent disease outbreaks. …”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…Finally, the classification process was executed using the three visible bands, NIR, and SWIR1, in conjunction with selected indices (LAI, BSI, MBI, LST, and ALTIVI). …”
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The chemosensory world of mosquitoes: olfactory receptors and their role in blocking mosquito-borne disease transmission by Sitian Xiong, Jingjing Liang, Shuyang Gao, Zhilong Liu, Hong Zheng, Xuesen Yang, Ying Wang, Shasha Yu

“…Abstract Mosquitoes are vectors for a variety of infectious diseases, which pose a significant threat to human health, public well-being, and national security. …”
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Analisis Sentimen Aplikasi Playstore Sirekap 2024 Pasca Pilpres Dengan Perbandingan Metode Support Vector Machine (SVM), Naïve Bayes Classifier Dan Random Forest. by Dede Ardian TARIGAN

“…The technical stages used in this research include data scraping, data pre-processing, pattern labeling, feature extraction/weighting, data splitting, and the sentiment analysis classification process. …”
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Urban Expansion Scenario Prediction Model: Combining Multi-Source Big Data, a Graph Attention Network, a Vector Cellular Automata, and an Agent-Based Model by Yunqi Gao, Dongya Liu, Xinqi Zheng, Xiaoli Wang, Gang Ai

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A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History-Based Adaptive Differential Evolution Optimized Support Vector Machine by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…To inspect the quality of concrete structures, surface voids or bugholes existing on a concrete surface after the casting process needs to be detected. To improve the productivity of the inspection work, this study develops a hybrid intelligence approach that combines image texture analysis, machine learning, and metaheuristic optimization. …”
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A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier by Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu

“…We employed the proposed approximate multiplier in the vector systolic array as the processing element (PE). …”
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A two‐stage transformer fault diagnosis method based multi‐filter interactive feature selection integrated adaptive sparrow algorithm optimised support vector machine by Hanyu Shi, Mingxia Chen

“…Abstract The scarcity of samples and disunity of feature inputs hinder the enhancement of transformer fault diagnosis performance, and there are mutual influences between model construction and feature selection, which cannot only consider a single process. Therefore, this study proposes a novel two‐stage transformer fault diagnosis strategy, which includes a multi‐filter interactive feature selection method (MIFS) constructed, and a diagnosis model ASSA‐SVM based on the adaptive sparrow algorithm (ASSA) optimised support vector machine (SVM). …”
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