Microscopic Simulation-Based High Occupancy Vehicle Lane Safety and Operation Assessment: A Case Study by Chao Li, Mohammad Karimi, Ciprian Alecsandru

“…A metaheuristic optimization algorithm (i.e., Whale Optimization Algorithm) is employed to calibrate the microscopic model while deviation from the observed headway distribution is considered as a cost function. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…We performed a claims data analysis using a machine learning algorithm. To build our model, the study population was randomly divided into an 80% training subset and a 20% testing subset and tested and trained using a cross-validation technique. …”
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Research of Dosimetry Parameters in Small Electron Beams by Nazmiye Donmez Kesen, Aydin Cakir, Murat Okutan, Hatice Bilge

“…Although it is used in many clinics, there is not a substantial amount of detailed information in the literature about use of the pencil beam algorithm to model electron beams. Output factors were consistent; differences from the values obtained from the TPS were at maximum. …”
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A two-stage robust optimization model for emergency service facilities location-allocation problem under demand uncertainty and sustainable development by Hongyan Li, Dongmei Yu, Yiming Zhang, Yifei Yuan

“…Subsequently, we employ the column and constraint generation (C&CG) algorithm to solve the proposed model and take the COVID-19 epidemic in Wuhan as a case to verify the effectiveness of the model and algorithm. …”
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Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime Organization by Hamed Ghorbani, Behnam Barzegar, Mousa Nazari

“…The goal of this algorithm is to consume the least amount of energy while ensuring reliability and limited task scheduling. …”
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Multiple-Camera Patient Tracking Method Based on Motion-Group Parameter Reconstruction by Simeon Karpuzov, George Petkov, Stiliyan Kalitzin

“…Previously, we have developed algorithms for contactless patient tracking based on optical flow analysis. …”
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Dead Reckoning Using Play Patterns in a Simple 2D Multiplayer Online Game by Wei Shi, Jean-Pierre Corriveau, Jacob Agar

“…From analyzing this data, we identified play patterns, which we used to create three dead reckoning algorithms. We then used an extensive set of simulations to compare our algorithms with the IEEE standard dead reckoning algorithm and with the recent “Interest Scheme” algorithm. …”
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Calibration of Low-cost Gas Sensors for Air Quality Monitoring by Dimitris Margaritis, Christos Keramydas, Ioannis Papachristos, Dimitra Lambropoulou

“…Three widely used calibration approaches were investigated, namely uni- and multi-variate linear regression analysis and the random forest algorithm. Two identical commercial AQMesh platforms (monitoring NO, NO2, O3, and SO2) were installed on a fixed municipal station for 4 consecutive weeks. …”
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THE SELECTION OF INVESTMENT PROPOSALS AT PRE-INVESTMENT STAGE IN THE FORMATION OF INVESTMENT PROGRAMS OF ROAD CONSTRUCTION by O. Gorelova

“…Tasks and procedure of the examination of investment projects are shown. The algorithm of examination of received investment proposals is considered.…”
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Solution of differential equations using sum of exponential functions by Liepa Bikulčienė, Zenonas Navickas

“… In this paper algorithm for the expression power series to sum of exponential functions are presented. …”
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On nonlinear variational inequalities by Muhammed Aslam Noor

“…The fixed point technique is used to prove the existence of a solution for a class of nonlinear variational inequalities related with odd order constrained boundary value problems and to suggest an iterative algorithm to compute the approximate solution.…”
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The numerical model of the dynamics of asset prices by Eimutis Valakevičius

“… In the article is proposed the algorithm how to model the dynamics of asset prices by Markov process with continuous time and countable set of states. …”
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THE ADAPTIVE SMOOTHING FILTERS OF SENSOR SIGNALS IN THE MICROAVIONIC SYSTEMS by V. A. Malkin

“…The adaptation are realized at the expense of the statistical processing of the filtering errors. The algorithm of adaptive filter coefficients calculation and modeling results are presented.…”
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Generalized Equilibrium Problems Related to Ky Fan Inequalities by Ionel Rovenţa

“…As an application, we present a fixed point type algorithm inspired by a model from Tada and Takahashi (2007).…”
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Simultaneous perturbation stochastic aproximation for Lipshitz functions by Vaida Bartkutė, Leonidas Sakalauskas

“… The convergence conditions of Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm with Gaussian smoothing operator are established in the class of Lipshitz functions. …”
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Ensuring competitiveness of the auto dealer companies by E. Kuptsova

“…In article noted that the competitiveness assessment from positions of consumers and owners is necessary. The algorithm of actions for development of the system of management of competitiveness of the auto dealer company is offered.…”
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Dirichlet Characters, Gauss Sums, and Inverse Z Transform by Jing Gao, Huaning Liu

“…It is based on Dirichlet characters. A general algorithm is developed to compute the inverse Z transform on the unit circle, and an error estimate is given for the truncated series representation.…”
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Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

“…The performance of the proposed algorithm is compared to traditional algorithms, including the Whale Optimization Algorithm (WOA), Gradient Search with Barrier, and Bayesian Optimization (BO). …”
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Spectral Quantitative Analysis Model with Combining Wavelength Selection and Topology Structure Optimization by Qian Wang, Boyan Cai, Yajie Yu, Hui Cao

“…In order to present the effectiveness of the methods, the partial least squares with full spectrum, the partial least squares combined with genetic algorithm, the uninformative variable elimination method, the backpropagation neural network with full spectrum, the backpropagation neural network combined with genetic algorithm, and the proposed method are performed for building the component prediction model. …”
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Quantum metrology using quantum combs and tensor network formalism by Stanisław Kurdziałek, Piotr Dulian, Joanna Majsak, Sagnik Chakraborty, Rafał Demkowicz-Dobrzański

“…We develop an efficient algorithm for determining optimal adaptive quantum estimation protocols with arbitrary quantum control operations between subsequent uses of a probed channel.We introduce a tensor network representation of an estimation strategy, which drastically reduces the time and memory consumption of the algorithm, and allows us to analyze metrological protocols involving up to N  = 50 qubit channel uses, whereas the state-of-the-art approaches are limited to N  < 5. …”
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