A New Automated Way to Measure Polyethylene Wear in THA Using a High Resolution CT Scanner: Method and Analysis by Gerald Q. Maguire Jr., Marilyn E. Noz, Henrik Olivecrona, Michael P. Zeleznik, Lars Weidenhielm

“…As the most advantageous total hip arthroplasty (THA) operation is the first, timely replacement of only the liner is socially and economically important because the utilization of THA is increasing as younger and more active patients are receiving implants and they are living longer. …”
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Immersive technologies as a component of the formation of professional competencies of students in the program "Industrial and Fire safety" by E. R. Abdulina

“…Immersiveness, the inclusion of students in the learning process, taking into account the possibility of modeling the results of educational activities based on the analysis and synthesis of situational outcomes of emergency situations, operational transformation of content, visual tools allows you to involve undergraduates in teamwork, stimulate productive activities, realize creative potential.Conclusion. …”
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DoubleNet: A Method for Generating Navigation Lines of Unstructured Soil Roads in a Vineyard Based on CNN and Transformer by Xuezhi Cui, Licheng Zhu, Bo Zhao, Ruixue Wang, Zhenhao Han, Kunlei Lu, Xuguang Feng, Jipeng Ni, Xiaoyi Cui

“…To improve the model’s ability to extract image features, DoubleNet incorporates several key innovations, such as a unique multi-head self-attention mechanism (Fused-MHSA), a modified activation function (SA-GELU), and a specialized operation block (DNBLK). …”
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Two-stage spline-approximation in linear structure routing by D. A. Karpov, V. I. Struchenkov

“…This circumstance fundamentally complicates the problem and does not allow using mathematical models and nonlinear programming algorithms to solve it, since the dimension of the problem is unknown. …”
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The impact of artificial intelligence on accounting practices: an academic perspective by Talal Fawzi Alruwaili, Mahfoudh Hussein Mgammal

“…The study shows AI’s potential to streamline operations, perform knowledge-intensive tasks, and combat fraudulent activities. …”
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ADAPTIVE MATHEMATICAL MODEL OF THERMAL PROCESSES IN A COSINE POWER CAPACITOR by D. I. Zalizny, O. G. Shirokov, G. O. Shirokov, A. A. Kapanskiy

“…Thereafter, the calculated average daily values of the temperature was analyzed, and, should the tendency of permanent increase of these values is detected, the diagnosis alarms of danger levels of abnormal heating are formed, viz. a low level, an average level, a high level and a very high level. The presented algorithms have been developed heuristically. Their final formation is possible only after years of operation of the proposed diagnosis system applied to the real objects. …”
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Pavement condition detection using acceleration data collected by smartphones based on 1D convolutional neural network by Yudong Han, Zhaobo Li, Jiaqi Li

“…Five types of 1D-CNN with different activation functions and network structures were designed to classify the data and were compared with machine learning algorithms, including support vector machine (SVM) and radial basis function (RBF) neural networks. …”
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Machine learning decision support model construction for craniotomy approach of pineal region tumors based on MRI images by Ziyan Chen, Yinhua Chen, Yandong Su, Nian Jiang, Siyi Wanggou, Xuejun Li

“…This study aims to combine machine learning and deep learning algorithms with pre-operative MRI images to build a model for PRTs surgical approaches recommendation, striving to model clinical experience for practical reference and education. …”
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The Bright Decade of Ocean Salinity from Space by Roberto Sabia, Jacqueline Boutin, Nicolas Reul, Tong Lee, Simon H. Yueh

“…The increasing usage of spaceborne salinity products has produced a variety of results and applications, which are here summarized under three specific domains: climate, scientific, and operational. Finally, short-to-mid-term perspectives, indicating both the expected improvements in terms of algorithms and also looking at novel mission concepts (that will provide continuation of these measurements in the decade to come) have been described.…”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…In the context of solar PV systems, ML is used to analyse and interpret vast amounts of data generated by these systems to enhance their efficiency, predict energy production, detect and diagnose faults, and optimize maintenance and operation. By analysing data from sensors and system logs, ML algorithms can identify patterns indicative of faults or inefficiencies, such as shading, soiling, or equipment malfunctions, often before they become serious issues. …”
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Machine learning modeling and analysis of prognostic hub genes in cervical adenocarcinoma: a multi target therapy for enhancement in immunosurveillance by Madiha Jabeen Abbasi, Rashid Abbasi, ShuPeng Wu, Md Belal Bin Heyat, Ding Xianfeng, Huijie Jia, Aiwen Zheng

“…RNA-seq and gene expression data was operated via R-programming that identified 11,592 differential expressed genes which are mainly enriched in metabolic pathways, chemical carcinogenesis-receptor activation, amoebias, MAPK and PI3K-AKT signaling pathway. …”
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Machine learning driven design and optimization of a compact dual Port CPW fed UWB MIMO antenna for wireless communication by Jayant Kumar Rai, Swati Yadav, Ajay Kumar Dwivedi, Vivek Singh, Pinku Ranjan, Anand Sharma, Somesh Kumar, Stuti Pandey

“…It is used for 5G New Radio Bands (n78/n46/n47/n77/n48/ n79/n96), Wi-Fi 5, DSRC, Wi-Fi 6, and Vehicle to Infrastructure (V2I), Vehicle to Vehicle (V2V), and Vehicle to Network (V2N) in the entire operating band. The proposed antenna is optimized through the different ML algorithms Artificial Neural Network (ANN), Extreme Gradient Boosting (XGBoost), Random Forest (RF), K-Nearest Neighbor (KNN), and Decision Tree (DT). …”
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Smart Water Level Indicator with Dry Protection Based on Ultrasonic Sensor Water indicator, Dry protection, Ultrasonic by Sarah Altufaily, Mohammed Kareem Mohammed, Samah Kareem Mohammed, Hussein Ahmed

“…When the water level falls to 0%, it will activate automatically, and once it reaches 100%, it will switch off. …”
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Simulation of energy consumption processes at the metallurgical enterprises in the energy-saving projects implementation by Kiyko S. G., Druzhinin E. A., Prokhorov O. V., Haidabrus B. V.

“…The model likewise includes algorithms for transport equipment management that minimize disruptions in continuous casting machines’ operation and simulate emergencies. …”
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A method to manage the energy consumption of cloud centers for predictability in neuro-fuzzy networks by Ying Zhang

“…The results underlined the potential of predictive models combined with optimization algorithms for significant energy savings and operational efficiency in cloud data centers.…”
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Prediction of the remaining useful life of a milling machine using machine learning by Abbas Al-Refaie, Majd Al-atrash, Natalija Lepkova

“…Several ML algorithms were applied and the results were evaluated using five measures involving Accuracy, Mean Absolute Error (MAE), Mean Squared Error (MSE), R-squared, and R-squared adjusted. …”
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Integrating Indoor Localization Systems Through a Handoff Protocol by Francesco Furfari, Michele Girolami, Paolo Barsocchi

“…We distinguish between the triggering and managing operations, each requiring specific actions. We describe the activation of the handoff procedure by considering three types of ILSs design, each with increasing complexity. …”
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Novi pristup u upravljanju hidroelektranama zasnovan na neuronskim mrežama by Radmila Koleva, Darko Babunski, Emil Zaev, Atanasko Tuneski, Laze Trajkovski

“…Artificial Neural Networks (ANN) as a technique used in the HPP control systems have advantages in getting a stable and faster response but the complexity of the structure behind the neural networks (NN), meaning algorithms, number of hidden layers, training function, activation function can complicate and destabilize the process. …”
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Gastric duplication in infants by O. V. Spakhi, O. V. Liaturynska, M. O. Makarova, I. O. Anikin, A. H. Zaporozhchenko

“…Both infants have undergone the early operative intervention. Type and extent of the operation depended on the peculiarities of localization, sizes, clinical signs of the defects and the general state of patients. …”
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Prediction of Reservoir Flow Capacity in Sandstone Formations: A Comparative Analysis of Machine Learning Models by Micheal Ayodeji Ogundero, Taiwo Adelakin, Kehinde Orolu, Isaac Femi Johnson, Theophilus Akinfenwa Fashanu, Kingsley Abhulimen

“… Sand production is one of the major challenges in the oil and gas industry, impacting the operational integrity and economic efficiency of oil extraction activities. …”
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