Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services by Nuzaiha Mohamed, Reem Lafi Almutairi, Sayda Abdelrahim, Randa Alharbi, Fahad M. Alhomayani, Amer Alsulami, Salem Alkhalaf

“…Eventually, the presented DCFNN-SOCVDC approach employs a stork optimization algorithm method for the hyperparameter tuning method involved in the DCFNN model. …”
Get full text

A Multi-Task Based Clustering Personalized Federated Learning Method by Ao Xiong, Han Zhou, Yu Song, Dong Wang, Xu Wei, Da Li, Bo Gao

“…Simulation experiments conducted on carbon emission prediction data demonstrate that the proposed algorithm performs better in various evaluation metrics compared with the Federated Averaging (FedAvg) algorithm and traditional clustering personalized federated learning algorithm. …”
Get full text

Development of a Self-Updating System for the Prediction of Steel Mechanical Properties in a Steel Company by Machine Learning Procedures by Valerio Zippo, Elisa Robotti, Daniele Maestri, Pietro Fossati, David Valenza, Stefano Maggi, Gennaro Papallo, Masho Hilawie Belay, Simone Cerruti, Giorgio Porcu, Emilio Marengo

“…Different machine learning algorithms are compared (Polynomial Regression, LASSO, Random Forests and Gradient Boosting, ANN, SVM, and k-NN), to provide the best predictive ability, also exploiting human reinforcement. …”
Get full text

Cause analysis of coal mine burst accident based on text mining by Jiajia WANG, Zhenhua OUYANG, Haoran GUO, Wenshuai LI, Qianhai XU, Xinwen YANG

Get full text

Peculiarities of the pedagogical situation at the training of bachelors on the direction 08.03.01 «Construction» on the example of discipline of specialization by Nelli I. Taraseeva

“…Requirements to the quality of students’ training are constantly growing; employers also are interested in obtaining high-quality professionals in the current system of Bachelor’s – Master’s degree. …”
Get full text

Integrated analysis and experimental validation reveal the prognostic and immunological features associated with coagulation in hepatocellular carcinoma by Guangzhen Qu, Kun Liu, Weiyu Xu, Dongming Li

“…Three CAG patterns were obtained through an unsupervised consensus clustering algorithm. CAGclusterA held the best prognosis compared to the other two clusters. …”
Get full text

Interpretable Machine Learning for Multi-Energy Supply Station Revenue Forecasting: A SHAP-Driven Framework to Accelerate Urban Carbon Neutrality by Zhihui Zhao, Minjuan Wang, Jin Wei, Xiao Cen, Shengnan Du, Ziwen Wu, Huanying Liu, Weiqiang Wang

Get full text

Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method by Er Wang, Tianbao Huang, Zhi Liu, Lei Bao, Binbing Guo, Zhibo Yu, Zihang Feng, Hongbin Luo, Guanglong Ou

“…To address this, the study introduces two Least Absolute Shrinkage and Selection Operator Lasso-based variable selection methods: Least Absolute Shrinkage and Selection Operator Genetic Algorithm (Lasso-GA) and Variance Inflation Factor Least Absolute Shrinkage and Selection Operator (VIF-Lasso). …”
Get full text

Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
Get full text

Introduction of neural network technologies to optimise the control of the operating modes of a sucker-rod pump installation by O. Turchyn

“…A forecasting model has been developed that can detect potential equipment failures in advance, which reduces the risks of emergencies and maintenance costs. The study also showed that adaptive control algorithms based on artificial intelligence can automatically adjust the operating modes of the SRP depending on variable conditions, such as pressure fluctuations or changes in the properties of the oil produced. …”
Get full text

Presenting a Novel Hybrid Approach of Text Mining Sentiment Analysis in Twitter Using CART Decision Tree by Nasir Tayarani, Mehrdad Jalali

“…The ability and power of the SentiStrength algorithm to detect sentiment has also led to a thorough analysis of sentiment in tweets. …”
Get full text

A Multimedia Medical Expert System for Human Diseases Diagnosis by Ahmed Ameen, Baydaa Khaleel

“…In this research, an expert system is built, which is one of the artificial intelligence techniques, using the advanced (forward) sequencing algorithms also called data-directed inference, and the algorithm. …”
Get full text

Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…The system was evaluated on key metrics such as accuracy and time efficiency, achieving an 80% accuracy rate and full agreement on time efficiency (100%). The study also highlighted challenges related to lighting conditions and privacy concerns, which impacted system performance in real-world conditions. …”
Get full text

New Images of the Globalized World Crossed by Artificial Intelligence by Vanina Rodríguez

“…Data privacy and security are also major challenges in the use of AI to generate and select content. …”
Get full text

Vers un « État-automate » ? by Olessia Kirtchik, Francesca Musiani

“…Based on this hypothesis, this article aims to question the transformative potential of innovations linked to algorithms and AI for various professions in public administration. …”
Get full text

Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Anal... by Christopher Brooks, Marco Pagani, Manuela Villani, Kendra Johnson, Richard Styron, Kirsty Bayliss

“…To this end, we selected earthquakes with a moment magnitude larger than 7.0 and hypocentral depth less than 200 km in the ISC-GEM catalogue (version 10.0) and retrieved the best matching ruptures from the seismic hazard models in the GEM Mosaic. The GEESE algorithm also automatically computes a set of ground-motion fields using each matched rupture, which are also provided in the database. …”
Get full text

Towards a complete classification of holographic entropy inequalities by Ning Bao, Keiichiro Furuya, Joydeep Naskar

“…We also demonstrate interesting by-products, most notably, a procedure to generate candidate quantum entropy inequalities.…”
Get full text

An explicit categorical construction of instanton density in lattice Yang-Mills theory by Peng Zhang, Jing-Yuan Chen

Get full text

A framework for generalizing toric inequalities for holographic entanglement entropy by Ning Bao, Keiichiro Furuya, Joydeep Naskar

Get full text

Revolution in flow cytometry: using artificial intelligence for data processing and interpretation by Szymon Bierzanowski, Szymon Bierzanowski, Krzysztof Pietruczuk

“…Similarly, multivariate analysis and dimension reduction are also commonly attempted. The integration of advanced AI algorithms with FC methods contributes to a better understanding and interpretation of biological data, opening up new opportunities in research and clinical diagnostics. …”
Get full text