High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…The main objective is to exploit the high-performance capabilities of NVIDIA heterogeneous embedded platforms, which are not automatically compatible with the peculiar features of these algorithms. …”
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Mathematical Model and Characteristics of the Induction Motor with a Power Supply from a Current Source by V. S. Malyar, A. V. Malyar

“…The specific features of the algorithms for calculating transients, steady-state modes and static characteristics are discussed. …”
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Web search results processing in an information support system for decision-making processes by S. F. Lipnitsky, L. V. Stepura

“…The proven properties of such structures provide algorithmization of information processes in the model under consideration.Conclusion. …”
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A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks by David J. Richter, Ricardo A. Calix, Kyungbaek Kim

“…A lot of that can be attributed to the recent advancements in machine learning (ML) and deep learning (DL) as a whole, the power of deep neural networks and the incorporation of them into reinforcement learning algorithms and techniques. This marriage of deep neural networks and traditional reinforcement learning methods has enabled reinforcement learning algorithms to achieve incredible results in use-cases that were previously deemed to be too complex. …”
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Digital solutions for risk management in sustainable development conditions of business ecosystems by Oleksii HNIEZDOVSKYI, Danylo DOMASHENKO, Svitlana DOMASHENKO, Denys MOROZOV, Serhii SHYLO

“…A prediction system that uses various machine learning algorithms was developed and tested. A comparative analysis of the effectiveness of various machine learning algorithms for the prediction task was conducted. …”
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A new method for a priori practical identifiability. by Peter Thompson, Benjamin Jan Andersson, Nicolas Sundqvist, Gunnar Cedersund

“…This new type of identifiability can be determined using our new algorithms, as is demonstrated by applications to various published biomedical models. …”
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Analysis of disease severity and mortality prediction using machine learning during COVID-19 by Hodjat (Hojatollah) Hamidi, Mostafa Moradi

“…This paper focuses on how machine learning (ML) algorithms and applications have been used to analyze disease severity and mortality prediction in COVID-19 research. …”
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Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables by Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

“…Remaining useful life (RUL) estimation is one of the main objectives of prognostics and health management (PHM) frameworks. …”
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Machine learning and company failure prediction: Evidence from South Africa by Nicolene Wesson, Dewald Mienie, Anthea Myatt

“…Company failure prediction up to 3 years in advance was measured by applying eight fundamental machine learning techniques and the traditional logit analysis statistical method. Main findings: Two machine learning algorithms outperformed the traditional method in some years. …”
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Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain by Beniamino Di Martino, Antonio Esposito, Gennaro Junior Pezzullo, Tien-Hsiung Weng

“…By analysing these algorithms, the research uncovers their distinct behaviours and highlights their dissimilarities, even when their analytical underpinnings may appear similar.…”
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A Novel Support Vector Machine with Globality-Locality Preserving by Cheng-Long Ma, Yu-Bo Yuan

“…However, the solution of the primal optimal model of SVM is susceptible for class distribution and may result in a nonrobust solution. In order to overcome this shortcoming, an improved model, support vector machine with globality-locality preserving (GLPSVM), is proposed. …”
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MODELING OF RUNNING CUTTERS FOR SHAPING OF IMPROVED NONINVOLUTE TOOTH GEARS by Tatyana TRETYAK, Yury GUTSALENKO, Alexander MIRONENKO

“…There are proposed calculation algorithms, which may be used in dataware of respective CAD/CAM systems of maintenance for tooling backup. …”
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Integrated Power and Attitude Control Design of Satellites Based on a Fuzzy Adaptive Disturbance Observer Using Variable-Speed Control Moment Gyros by Zhongyi Chu, Jing Cui

“…The algorithms can simultaneously track attitude and power. …”
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Search for gamma-ray spectral lines from dark-matter annihilation with the DAMPE satellite by Frieden Jennifer Maria

“…The annihilation of dark-matter particles may lead to the production of monochromatic gamma-ray emission. …”
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General Construction Method and Proof for a Class of Quadratic Chaotic Mappings by Wenxia Xu, Xiangkun Chen, Ziwei Zhou, Guodong Li, Xiaoming Song

“…The importance of chaotic systems as the main pseudo-random cryptographic generator of encryption algorithms in the field of communication secrecy cannot be overstated, but in practical applications, researchers often choose to build upon traditional chaotic maps, such as the logistic map, for study and application. …”
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New concept for the value function of prospect theory by Kazuo Sano

“…Additionally, we have conducted empirical studies on algorithmic trading strategies that employ different value function specifications.…”
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Groundwater pollution risk assessment in typical coal-related industry agglomeration area by Lai ZHOU, Yanzhuo LIU, Zenggang QI, Lei WANG, Lei MENG, Qiyan FENG, Yanqing RONG

“…At the same time, combined with the water quality level of groundwater sampling points in the study area, the Random Forest (RF) classification algorithm was utilized to construct the groundwater pollution risk classification prediction method, and the evaluation results were compared with those of the superposition index method. …”
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On the Effectiveness of the Minimization Approach to the Query Optimization by N. Mendkovich

“…It includes minimization algorithms based on “condition absorption”, prime implicants, and a set of linear inequalities minimization technics. …”
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Verifiable outsourced attribute-based encryption with access update by Suqing LIN

“…In order to meet the secure and reliable access requirements for the encrypted data stored in the public cloud,a verifiable outsourced attribute-based encryption scheme with access update was proposed.Based on a standard KP-ABE scheme,verifiable outsourced decryption and verifiable access update for a ciphertext through novel constructions for the scheme were obtained.The verifiability of the outsourced computation ensures that the third-party service may perform algorithms honestly.The scheme has selective IND-CPA security for the original and updated ciphertexts,weak master private key security,and verification soundness in the standard model were proved,respectively.Compared with similar schemes from literatures,the proposed scheme can achieve tradeoff in the optimization of functionality,security and efficiency.…”
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Influence of Smartphones and Software on Acoustic Voice Measures. by Elizabeth U. Grillo, Jenna N. Brosious, Staci L. Sorrell, Supraja Anand

“…The study suggests that certain smartphones may be appropriate to record daily voice measures representing the effects of vocal loading within individuals.  …”
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