Case of acute drug-induced hepatitis after halothane anesthesia by I. Yu. Pirogova, Ye. V. Berestova, O. Yu. Bastrikov, Ye. B. Kovaleva, T. P. Petukhova, M. V. Guseva, I. A. Gubina, I. V. Rezepin, S. P. Sinitsyn

“…Application of differential diagnostics algorithms and prognostic scales at drug-induced liver disease helps clinician to choose proper treatment approach at specific stage.…”
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Application of the Machine Learning Methods to Assess the Impact of physico-chemical characteristics of water on Feed Consumption in Fish Farms by Hava Şimşek, Mükerrem Oral, Mesut Yılmaz, Mustafa Çakır, Nedim Özdemir, Okan Oral

“…In the regression analysis carried out using ML techniques, the models developed with RF, GBM and XGBoost algorithms yielded better results.…”
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Dense Sandstone Material Decomposition Based on Improved Convolutional Neural Network by Ran ZHANG, Huihua KONG, Jiaxin LI, Yijiao SONG

“…At present, the material decomposition method based on neural networks overcomes the limited decomposition effect of traditional iterative algorithms. However, the performance of traditional neural networks in feature detail recovery is still not satisfactory. …”
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Digital Core Modeling Based on Pretrained Generative Adversarial Neural Networks by Qing Zhang, Benqiang Wang, Xusheng Liang, Yizhen Li, Feng He, Yuexiang Hao

“…With the development of deep learning technology, a variety of deep learning algorithms have been applied to digital core modeling. …”
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AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO by Ngoc Giau Pham, Nhien Loc Bui, Quang Hien Tran, Le Thanh Hai Tong, Hong Ngoc Tran

“…This device is capable of capturing video and executing AI algorithms for real-time analysis, thereby deriving crucial data for IoT decision-making processes. …”
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Robust fault detection and classification in power transmission lines via ensemble machine learning models by Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani, Ievgen Zaitsev

“…Leveraging a comprehensive dataset of diverse fault scenarios, various machine learning algorithms—including Random Forest (RF), K-Nearest Neighbors (KNN), and Long Short-Term Memory (LSTM) networks—are evaluated. …”
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Temporary Pacing Simulator: A Training Tool for Clinicians by Ioana Cretu, Alexander Tindale, Maysam Abbod, Wamadeva Balachandran, Ashraf W. Khir, Hongying Meng

“…It simulates various pacing modes—atrial, ventricular, and dual-chamber—while modeling pacing failures and haemodynamic changes. Sophisticated algorithms replicate clinical responses, offering real-time feedback and dynamic visualizations to enhance learning. …”
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AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

“…Existing methods, often reliant on human intervention or low-complexity algorithms, are observed to struggle with the growing demands of online video quantity and quality. …”
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The Unbiased Characteristic of Doppler Frequency in GNSS Antenna Array Processing by Yuchen Xie, Zhengrong Li, Feiqiang Chen, Huaming Chen, Feixue Wang

“…Since the integration of frequency is carrier phase, the unbiased Doppler frequency leads to an accurate estimation of carrier phase which can be used to calibrate the antenna array without extra apparatus or complicating algorithms. Therefore, a simple Doppler-aid strategy may be developed in the future to solve the difficulty of STAP bias mitigation.…”
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Leveraging Digital Twin Technology for Battery Management: A Case Study Review by Judith Nkechinyere Njoku, Ebuka Chinaechetam Nkoro, Robin Matthew Medina, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim

“…DTs create virtual representations of physical battery systems, enabling enhanced monitoring, predictive maintenance, and optimized performance through advanced AI algorithms. This study presents a comprehensive exploration of DT technology for BMS. …”
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Takagi–Sugeno State Delayed Feedback and Integral Control for PV Systems: Modeling, Simulation, and Control by Hicham El Aiss, Karina A. Barbosa, Hector Chavez, Carlos Rodriguez

“…However, current maximum power point tracking (MPPT) algorithms are generally complex and require electronic components to support variable control gains for different irradiance conditions, preventing simple MPPT implementations suitable for small-scale photovoltaic systems. …”
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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…We utilized several machine-learning algorithms, including Support Vector Machine (SVM), Naive Bayes (NB), Random Forest (RF), and Logistic Regression (LR), and extracted a considerable number of handcrafted features. …”
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A Lightweight Model for Shine Muscat Grape Detection in Complex Environments Based on the YOLOv8 Architecture by Changlei Tian, Zhanchong Liu, Haosen Chen, Fanglong Dong, Xiaoxiang Liu, Cong Lin

“…These results highlight the potential of our model for accurate and efficient deployment on resource-constrained edge devices, providing an algorithmic foundation for the automated harvesting of “Sunshine Rose” grapes.…”
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Potential impact of coronaviruses upon cardiovascular system under COVID-19 pandemic by L.O. Tkachenko, O.A. Yepanchintseva, B.M. Todurov

“…There are no clear algorithms and recommendations for the treatment of such patients in a pandemic and differ in different countries. …”
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Coordinated Beamforming with Altruistic Precoding and User Selection for MU-MIMO System by Gaofeng Cui, Yanjie Dong, Weidong Wang, Yinghai Zhang

“…Simulation results demonstrate that the proposed method outperforms the existing algorithms at any OCI level. Furthermore, we also analyze the best choice of degrees of freedom used to mitigate OCI through simulation.…”
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Trust-Centric and Economically Optimized Resource Management for 6G-Enabled Internet of Things Environment by Osama Z. Aletri, Kamran Ahmad Awan, Abdullah M. Alqahtani

“…TEO-IoT presents an end-to-end solution for security management and network traffic optimization, utilizing advanced algorithms for trust score estimation and anomaly detection. …”
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New Bridge Weigh-in-Motion System Using Piezo-Bearing by Jinkyo F. Choo, Dong-Ho Ha, Seok-Gi Chang, Dong-Ho Lee, Chang-Beck Cho

“…The traditional BWIM (bridge weigh-in-motion) system measures the deformation of the bridge by means of sensors and uses these measurements to estimate the characteristics of passing traffic by means of dedicated algorithms. However, the application of the BWIM system is subordinated to the type of superstructure, composition, geometry, materials, and shape of the bridge, the location of the strain sensors used in the system, and the need to calibrate the measured strain curve and of a precise model of the structure at hand. …”
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A deep learning‐based attack on text CAPTCHAs by using object detection techniques by Jiawei Nian, Ping Wang, Haichang Gao, Xiaoyan Guo

“…However, most previous cracks were based on classification algorithms that typically rely on a series of preprocessing operations or on many training samples, thus making such attacks complicated and costly. …”
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An image dataset for surveillance of personal protective equipment adherence in healthcare by Wanzhao Yang, Mary S. Kim, Genevieve J. Sippel, Aaron H. Mun, Kathleen H. McCarthy, Beomseok Park, Aleksandra Sarcevic, Marius George Linguraru, Ivan Marsic, Randall S. Burd

“…The R2PPE dataset provides a resource for developing computer vision algorithms for monitoring PPE use in healthcare.…”
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Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture by Lintao Ding, Chenguang Shi, Fei Wang, Jianjiang Zhou

“…Simulation results demonstrate that the CNS‐TRA strategy has superiority over other existing algorithms and can achieve better LPI performance for MRA.…”
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