Teenagers on TikTok: Play, Mimesis, and “Digital Authority” by N.K. Radina

“…<br><strong>Hypothesis</strong><em>.</em> The research question is based on the assumption of the universality and heuristic nature of the theoretical schemes used by M.Yu. …”
Get full text

Comparative Study of Adaptive <i>l</i>₁-Regularization for the Application of Structural Damage Diagnosis Under Seismic Excitation by Weilin Wu, Junfang Wang, Jianfu Lin, Xuanyu Liu

“…A comprehensive review and comparison have first been conducted to identify the limitations and research gaps in the existing regularization methods for structural damage detection. …”
Get full text

Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Recent advances in machine learning (ML) have revolutionized the field of microplastic research by automating and enhancing detection processes. …”
Get full text

Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…Considering comprehensive data preliminary processing, FS, and validation, ELNET-BDE outperforms existing methods. Research investigations demonstrate that the ELNET-BDE model attains significantly lower Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) than contesting Machine Learning (ML) algorithms like Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF), and Gradient Boosting Machines (GBM). …”
Get full text

Fault Location Based on Synchronized Measurements: A Comprehensive Survey by A. H. Al-Mohammed, M. A. Abido

“…This paper presents a comprehensive survey on transmission and distribution fault location algorithms that utilize synchronized measurements. Algorithms based on two-end synchronized measurements and fault location algorithms on three-terminal and multiterminal lines are reviewed. …”
Get full text

MODELLING OF EMERGENCY OPERATION IN ELECTRIC NETWORKS FEEDING RAILROAD TRACTION SUBSTATIONS by V. P. Zakaryukin, A. V. Kryukov, E. A. Alekseenko

Get full text

Enhancing Energy Efficiency Utilized IoT: Power Optimization and Energy Harvesting Techniques for Sustainable and Resilient Systems by Dhafer Yaseen, Hasan Qays, Hasnaa Abdulkareem, Falah Ahmed

“…By combining dynamic power management strategies with energy harvesting from sources like thermal and vibrational energies this research explores the potential for creating durable and eco-friendly IoT systems. …”
Get full text

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. …”
Get full text

Making a Real-Time IoT Network Intrusion-Detection System (INIDS) Using a Realistic BoT–IoT Dataset with Multiple Machine-Learning Classifiers by Jawad Ashraf, Ghulam Musa Raza, Byung-Seo Kim, Abdul Wahid, Hye-Young Kim

“…This analysis can guide future researchers in choosing the right machine-learning algorithms for developing IDS. …”
Get full text

Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks by Jingcheng Du, Dong Wang, Bin Lin, Long He, Liang-Chin Huang, Jingqi Wang, Frank J. Manion, Yeran Li, Nicole Cossrow, Lixia Yao

“…The three resulting annotated corpora are shared publicly at [ https://github.com/Merck/NLP-SLR-corpora ], to provide training data and a benchmark baseline for the NLP community to further research this challenging task. We then compared three classic Named Entity Recognition (NER) algorithms, namely Conditional Random Fields (CRF), Long Short-Term Memory (LSTM), and the Bidirectional Encoder Representations from Transformers (BERT) models, to assess performance on the data element extraction task. …”
Get full text

The Reactor Monte Carlo code RMC: The state-of-the-art technologies, advancements, applications, and next by Wang Kan, Liu Zhaoyuan, An Nan, Luo Hao, Jia Conglong, Shen Pengfei, Jiang Shihang, Hu Yingzhe, Gou Yuanhao, Wang Wu, Feng Zhiyuan, Liu Guodong, Zhao Xingyu, Chan Kok Yue, Su Zilin, Tan Zhe Chuan, Liu Guanyang, Li Zeguang, Yu Ganglin, Yu Jiyang, Huang Shanfang

“…Parallel acceleration on heterogeneous architecture supercomputers and machine learning algorithms would be incorporated in ongoing research and future development plans.…”
Get full text

Global Sensitivity Analysis of CASC2D Hydrological Model Parameters by LI Xiao-ying, ZHANG Jin-hui, ZHAO Hong-jie

“…Furthermore, given the current lack of research on automated calibration for this model, the findings offer strategic guidance for the development of automated calibration algorithms.…”
Get full text

MOIRA-UNIMORE Bearing Data Set for Independent Cart Systems by Abdul Jabbar, Marco Cocconcelli, Gianluca D’Elia, Davide Borghi, Luca Capelli, Jacopo Cavalaglio Camargo Molano, Matteo Strozzi, Riccardo Rubini

“…This fundamental difference makes existing data sets and methodologies inadequate, emphasizing the need for specialized research. By addressing this gap, this work provides a critical resource for benchmarking and developing novel algorithms for fault diagnosis, signal processing, and machine learning in industrial transport applications. …”
Get full text

Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…Though in its early stages, NCL is already a major research field with an increasing interest in novel SNN-based techniques for different CL methods (e.g., regularization-, replay-, and architecture-based). …”
Get full text

THE POSTMODERN CITY TEXT IN SERHIY ZHADAN’S POETICS by Tetiana M. Starostenko., Ianina V. Gurtova

“…The research methods include hermeneutical, historical, literary, cultural methods and the method of contextual analysis. …”
Get full text

Dataset for identifying paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography imagesMendeley Data by Tianqiao Zhang, Mengjiao Zhang, Dexun Zhang, Wenjing Meng, Zhenzhen Li, Zhengwei Zhang

“…This resource addresses a significant gap in the availability of public datasets focused on PAMM lesions, promoting further research in automated intelligent analysis systems for retinal OCT images.…”
Get full text

Update of machine learning for ultrasound diagnosis of metabolic dysfunction-associated steatotic liver disease: a bright future for deep learning by Jiawen Li, Jianhui Chen, Xiaohong Zeng, Guorong Lyu, Shu Lin, Shaozheng He

“…Deep learning (DL), known for its exceptional image recognition and classification capabilities, has become a focal point in ultrasound research. This paper reviews and analyzes the application of various machine learning (ML) algorithms in the ultrasound diagnosis of MASLD, highlighting the advantages and potential of AI in this field. …”
Get full text

The application of machine learning in clinical microbiology and infectious diseases by Cheng Xu, Ling-Yun Zhao, Cun-Si Ye, Ke-Chen Xu, Ke-Chen Xu, Ke-Yang Xu

“…Machine learning in the field of microbiology mainly adopts supervised learning and unsupervised learning, involving algorithms from classification and regression to clustering and dimensionality reduction. …”
Get full text

Evaluation of Knowledge Management Maturity Level in Iranian Audiovisual Archives Based on the APQC Model by Sepideh Ciruskabiri, Atefeh Sharif, Saeed Rezaei Sharifabadi, Mohammad Hassanzadeh

“…The structure of this study is based on the layers of a research methodology model derived from Saunders’ research onion, which employs an interpretive paradigm with an evaluative nature and an inductive approach. …”
Get full text

D-pinitol modulates the anti-emetic effects of aprepitant, domperidone, and ondansetron in chicks by Md. Elit Rahman, Md. Anisur Rahman, Salehin Sheikh, Md. Jannatul Islam Polash, Sozoni Khatun, Mst. Sonia Akter Bristi, Md. Showkoth Akbor, Mst. Farjanamul Haque, Mehedi Hasan Bappi, Tohidul Islam Tanim, Siddique Akber Ansari, Irfan Aamer Ansari, Elaine Cristina Pereira Lucetti, Carolina Bandeira Domiciano, Henrique D.M. Coutinho, Muhammad Torequl Islam

Get full text