Fuzzy Performance between Surface Fitting and Energy Distribution in Turbulence Runner by Zhongwei Liang, Xiaochu Liu, Bangyan Ye, Richard Kars Brauwer

“…On the base of calculating the newly proposed mathematical features, we construct fuzzy evaluation data sequence and present a new three-dimensional fuzzy quantitative evaluation method; then the value change tendencies of kinetic energy distribution surface features can be clearly quantified, and the fuzzy performance mechanism discipline between the performance results of surface fitting algorithms, the spatial features of turbulence kinetic energy distribution surface, and their respective environmental parameter conditions can be quantitatively analyzed in detail, which results in the acquirement of final conclusions concerning the inherent turbulence kinetic energy distribution performance mechanism and its mathematical relation. …”
Get full text

Heart transplantation and COVID-19 in the early postoperative period in hypertrophic cardiomyopathy: a clinical case by M. R. Zaynetdinov, M. N. Mukharyamov, R. K. Dzhordzhikiya, I. I. Vagizov, M. A. Miroshnichenko, I. V. Abdulyanov, R. R. Khamzin, D. I. Abdulganieva, E. V. Dyakova, A. Zh. Bayalieva, N. F. Gizatullina, N. Yu. Stekolshchikova, M. M. Minnullin, R. N. Khairullin

“…Hypertrophic cardiomyopathy (HCM) is a disease that is usually unresponsive to conservative pathogenetic therapy. It does not have clearly developed surgical correction algorithms. …”
Get full text

Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless-Powered Sensor Networks by Omid Abachian Ghasemi, Mehdi Chehel Amirani

“…These algorithms offer significant advantages in execution time. …”
Get full text

Assistive Control of a Hip Exoskeleton Robot, using a DQN-Adjusted Delayed Output Feedback Method by Hadi Kalani, S. Mohammad Tahamipour-Z, Iman Kardan, Alireza Akbarzadeh

“…A major challenge in the development of an assistive exoskeleton robot is to design appropriate control algorithms. These algorithms should be trajectory-independent and require a minimum number of sensors to work in any intended motion and to be easily implementable. …”
Get full text

University proceedings. Volga region. Technical sciences by P.V. Malinin, P.Yu. Bochkarev, I.I. Artemov

“…The application of the centerless grinding method, despite its high efficiency, is fraught with certain difficulties due to the lack of a clearly formulated and normatively fixed methodology for designing and implementing operational technologies. …”

Introducing a Novel Method to Identify the Future Trend of Nikkei 225 Stock Price in Order to Reduce Investment Risk by Freyr Björgvinsson

“…This study proposes a new incorporation of hyperparameter optimization algorithms into machine learning techniques, such as Genetic Algorithms, Battle Royale Optimization, and Grey Wolf Optimization, for stock price prediction. …”
Get full text

Multirotor Sizing Methodology with Flight Time Estimation by Marcin Biczyski, Rabia Sehab, James F. Whidborne, Guillaume Krebs, Patrick Luk

“…The method is easily implemented in software to provide an automated tool. Furthermore, clearly defined input and output parameters make it also usable as a module in other multicriteria optimisation algorithms. …”
Get full text

Research Progress on Reducing Metal Artifacts in CT Imaging by Danyang SU, Ping HOU, Haoran ZHANG, Yuanbo MA, Jinlong LIU, Xiaopeng YANG

“…The emergence of deep learning reconstruction algorithms and photon counting CT provides a more reliable basis for the accurate evaluation of metal implants after surgery. …”
Get full text

Stochastic blockmodeling of the modules and core of the Caenorhabditis elegans connectome. by Dragana M Pavlovic, Petra E Vértes, Edward T Bullmore, William R Schafer, Thomas E Nichols

“…The deterministic algorithms derived communities with 4-5 modules, defined by sparse inter-connectivity between all modules. …”
Get full text

NDVI Prediction with RGB UAV Imagery Utilizing Advanced Machine Learning Regression Models by I. Aydin, U. G. Sefercik

“…In the literature, RGB camera-based NDVI prediction studies involving machine learning and deep learning algorithms have focused on the correlation of the results with the reference data (R²) or the model accuracy of the algorithms used. …”
Get full text

AN OVERVIEW OF THE MAIN WAYS TO IMPROVE THE ADS-B SYSTEM SECURITY by V. V. Kosianchuk, N. I. Selvesiuk, R. R. Khammatov

“…At the same time, the cyber security of ADS-B is clearly insufficient. The article analyzes the problem of low security of ADS-B. …”
Get full text

Ontology Merging Using the Weak Unification of Concepts by Norman Kuusik, Jüri Vain

“…The results also highlight the challenges related to the evaluation of ontology-merging algorithms without a definite ground truth.…”
Get full text

Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance by Giovanni Bianchi, Chiara Fanelli, Francesco Freddi, Felice Giuliani, Aldo La Placa

“…Recent Artificial Intelligence (AI) algorithms, which enable the use of digital tools such as Data-Driven models that can automatically adapt system operation, make decisions and suggest strategies based on collected data, form the basis of modern Predictive Maintenance (PdM). …”
Get full text

Data-Efficient Reinforcement Learning Framework for Autonomous Flight Based on Real-World Flight Data by Uicheon Lee, Seonah Lee, Kyonghoon Kim

“…We compared the proposed framework against existing algorithms in actual quadcopter control. In the comparative experiment, we demonstrated an improvement of up to 70.59% in learning speed, clearly highlighting the impact of the environmental model. …”
Get full text

A Variational Multi-Scale Error Compensation Network for Single-Pixel Imaging by Jian Lin, Qiurong Yan, Quan Zou, Shida Sun, Zhen Wei, Hua Du

“…However, conventional reconstruction algorithms suffer from issues such as long processing time and low reconstruction accuracy during the sampling and reconstruction processes. …”
Get full text

Influence of the media used in the operation of aircraft on the durability of airport cement surfaces by Piotr Nita, Małgorzata Linek

“…In terms of mass, dynamic and temperature interactions, these are measurable phenomena that can be determined and predicted using appropriate methods and algorithms. Another type of impact that does not occur in an avalanche-like manner on pavements is their random destruction caused by the presence and operation of exploitation media. …”
Get full text

Regulating neural data processing in the age of BCIs: Ethical concerns and legal approaches by Hong Yang, Li Jiang

“…This article notes that most of the current data laws like GDPR have not covered neural data clearly, incapable of providing full protection in response to its specialty. …”
Get full text

Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia by Caitlin A. Finney, David A. Brown, Artur Shvetcov

“…Tree-based machine learning algorithms and artificial neural networks were used. …”
Get full text

Malignant Transformation of Renal Cyst with Bosniak I Features by Sandra Ćulap, Filip Brkić, Andro Matković, Jelena Svetec, Nikolina Jurjević, Katarina Horvat Pavlov, Vinko Vidjak, Thomas Ferenc

“…The Bosniak classification categorizes renal cystic lesions based on cross-sectional imaging features from clearly benign (Bosniak type I) to malignant lesions (Bosniak type IV). …”
Get full text

Application of CT Radiomics in Predicting Differentiation Level of Lung Adenocarcinoma by Shuai ZHANG, Peng HAN, Suya ZHANG, Dingli YE, Zhicheng HUANG

“…MethodsData from 507 patients with postoperative pathological confirmed lung adenocarcinoma and clearly defined differentiation level of lung adenocarcinoma were retrospective analyzed. …”
Get full text