From LMS to adaptive training systems by Y. B. Popova

“…The use of information technology and, in particular, learning management systems, increases the ability of both the teacher and the learner to achieve their goals in the educational process. Such systems provide educational content, help organize and monitor training, collect progress statistics, and can also take into account the individual characteristics of each user of the system. …”
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Pinna anthropometry in sex estimation: a machine learning-based approach by Emre Söylemez, Suna Tokgöz Yılmaz

“…We aimed to investigate the feasibility of sex prediction using anthropometric measurements of the pinna in machine learning. …”
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Preventing Stillbirth: A Review of Screening and Prevention Strategies by Laure Noël, Conrado Milani Coutinho, Basky Thilaganathan, Yiyuan Jiang, Dandan Shi

“…There is currently no equivalent to predict and prevent late-onset placental dysfunction, although algorithms combining an ultrasound-based estimation of fetal weight, assessment of maternal and fetal Doppler indices, and maternal serum biomarkers show promise as emerging new screening tools to optimize pregnancy monitoring and timing of delivery to prevent stillbirth. …”
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Disagreement in Detected Heatwave Trends Resulting From Diagnostic Methods by Boyuan Zhang, Yongli He, Zhanbo Wang, Bo Huang, Yongkun Xie, Xiaodan Guan, Jianping Huang

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Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions by Elias Dritsas, Maria Trigka

“…While these tools enhance analytical capacity, they raise critical concerns about algorithmic bias, transparency, and ethical accountability. …”
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Ambulance Siren Detection using Artificial Intelligence in Urban Scenarios by Muhammad Usaid, Muhammad Asif, Tabarka Rajab, Munaf Rashid, Syeda Iqra Hassan

“…With this validated algorithm, researchers can develop a real-time hardware-based model to detect emergency vehicles and make them arrive at the hospital as soon as possible. …”
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矿用自卸车盘式制动器热固耦合研究 by 解淑英

“…In order to further study the dump truck disc brake thermal-structural coupling characteristics,by analyzing the major impact parameter of brake pressure,brake initial speed,plate/sheet friction coefficient and the equivalent moment of inertia on the disc brake performance and using orthogonal experiment principle,the GA-BP network training sample is formed,a GA-BP network model with traditional genetic algorithm BP neural network combined with the introduction of disc brakes thermal-structural coupling finite element predictive model is proposed.The study results show that for the temperature and stress time history results,the overall trend of the training results and finite element simulation results are basically the same,but in the individual condition curve,there are some differences in local curves.Aiming at the specific conditions,the main characteristics of the temperature-time history is basiclly predicted by the GA-BP Network,the data extreme values of stress time history prediction effect and other major information are consistent with the finite element results.The training network has higher approximation performance and better prediction performance,the maximum error of prediction and simulation is only 8%,the computational accuracy is higher.…”
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A DMPC-based three-dimensional cooperative guidance scheme with impact time and impact angle constraints by Zijie Jiang, Xiuxia Yang, Cong Wang, Yi Zhang, Hao Yu

“…In this paper, a distributed model predictive control (DMPC)-based three-dimensional (3D) cooperative guidance scheme is proposed for multiple interceptors with controllable thrust and constrained acceleration, to simultaneously attack a maneuvering target at desired terminal angles. …”
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The correlation between histopathological and ultrasound findings regarding Cesarean section scars – A three-year survey study by Oana D. Bălălău, Nicolae Bacalbașa, Cristian Bălălău, Carolina Negrei, Bianca Gălățeanu, Octav Ghinghină, Cristina Răduță, Liana Pleș, Anca D. Stănescu, Vasile A. Dumitru

“…Our study found solid evidence related to possible correlations between histopathological and ultrasound data on the cesarean section scar, which could lead to a possible predictive algorithm with implications for both prognostic and therapeutic fields.…”
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Distinctive Behaviors of Druggable Proteins in Cellular Networks. by Costas Mitsopoulos, Amanda C Schierz, Paul Workman, Bissan Al-Lazikani

“…We develop, computationally validate and provide the first public domain predictive algorithm for identifying druggable neighborhoods based on network parameters. …”
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Information-extremе machine learning for object identification on the terrain by V. V. Moskalenko, A. H. Korobov

“…Kulbak's information measure, which is a function of false omission rate and positive predictive value of decision-making and it also allows machine learning on imbalanced dataset.…”
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Determining the Influence of Real Estate Features on Prices with Partial Dependence Plots: A Case Study in Szczecin, Poland by Gnat Sebastian

“…The CatBoost model, known for its robust handling of categorical features and strong predictive capabilities, is employed as the machine learning algorithm for this analysis. …”
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Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling by Kumar Ghosh, Kavitha Yogaraj, Gabriele Agliardi, Piergiacomo Sabino, Fernandez-Campoamor Marina, Bernabe-Moreno Juan, Giorgio Cortiana, Omar Shehab, Corey O'Meara

“…In this article, we generalize the approximate quantum compiling algorithm into a new method for <sc>cnot</sc>-depth reduction, which is apt to process wide target quantum circuits. …”
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Localizing axial dense emitters based on single-helix point spread function and compressed sensing by Wu Hanzhe, Chen Danni, Ji Yihong, Xiang Gan, Ni Yanxiang, Li Heng, Yu Bin, Qu Junle

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Advancements in epilepsy classification: Current trends and future directions by Rajani Rai B, Karunakara Rai B, Mamatha A S, Kavitha Sooda

“…The paper concludes with the discussion on potential future research directions, especially in areas of multimodal data integration and real-time seizure prediction, and emphasizes the potential for AI-driven personalized epilepsy treatment techniques.…”
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Development and Validation of a Reduced DME Mechanism Applicable to Various Combustion Modes in Internal Combustion Engines by Gregory T. Chin, J.-Y. Chen, Vi H. Rapp, R. W. Dibble

“…The construction of reduced chemistry was carried out with automatic algorithms incorporating newly developed strategies. …”
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AI may enable robots to make a clinical impact in total knee arthroplasty, where navigation has not! by Michael T. Hirschmann, Rüdiger vonEisenhart‐Rothe, Heiko Graichen, Stefano Zaffagnini

“…Through the utilization of real‐time data and prediction algorithms, artificial intelligence‐guided robots have the potential to overcome the limits of conventional approaches, thereby establishing a new benchmark for TKA.…”
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Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications by Caizhi Liao, Huaxing Wu, Luigi G. Occhipinti

“…This paper presents an innovative approach combining machine learning-assisted 3D flexible fiber-based organic transistor (FOT) sensors for high-accuracy metabolite analysis and potential diagnostic applications. Machine learning algorithms further enhance the analytical capabilities of FOT sensors by effectively processing complex data, identifying patterns, and predicting diagnostic outcomes with 100% high accuracy. …”
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“Dictionary of immune responses” reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration by Peichuan Xu, Peichuan Xu, Kaihui Li, Jinghong Yuan, Jinghong Yuan, Jiangminghao Zhao, Jiangminghao Zhao, Huajun Pan, Huajun Pan, Chongzhi Pan, Chongzhi Pan, Wei Xiong, Wei Xiong, Jianye Tan, Jianye Tan, Tao Li, Tao Li, Guanfeng Huang, Guanfeng Huang, Xiaolong Chen, Xiaolong Chen, Xinxin Miao, Dingwen He, Xigao Cheng, Xigao Cheng

“…Cell–cell communication analysis uncovered alteration in ANNEXIN pathway and a reduction in CXCL signaling between macrophages and monocytes, suggesting immune response dysregulation. …”
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Validation Indicator Identification and Customer Ranking in Microloans: A Study at Middle East Bank in Iran by Azadeh Ahmadi Kousha, Faegh Ahmadi, Mohammad Hossein Ranjbar, Hamidreza Kordlouie

“…Naive Bayes, Meta, Attribute Selected Classifier, and j48 algorithms were implemented and WEKA software was used to classify criteria and create patterns. …”
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