Efficient Convex Optimization of Reentry Trajectory via the Chebyshev Pseudospectral Method by Chun-Mei Yu, Dang-Jun Zhao, Ye Yang

“…The iterative linearization and convexification techniques are proposed to convert the concave constraints into convex constraints; therefore, a sequential convex programming problem can be efficiently solved by convex algorithms. Numerical results and a comparison study reveal that the proposed method is efficient and effective to solve the problem of reentry trajectory optimization with multiple constraints.…”
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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

“…The shortcomings of existing data processing algorithms are also discussed and an approach is presented to improve the efficiency of data processing and analysis.…”
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Uveal Melanoma by Vasilios P. Papastefanou, Victoria M. L. Cohen

“…Current survival rates, factors predictive of metastatic potential and metastatic screening algorithms are discussed. Proposed and emerging treatments for uveal melanoma metastases are also overviewed. …”
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A Study of Lock-Free Based Concurrent Garbage Collectors for Multicore Platform by Hao Wu, Zhen-Zhou Ji

“…Since the lock-based algorithms do not scale well, we present a lock-free solution for constructing a highly concurrent garbage collector. …”
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Improved continuous enhancement routing solution for energy-aware data aggregation in wireless sensor networks by Edson Ticona-Zegarra, Rafael CS Schouery, Leandro A Villas, Flávio K Miyazawa

“…Given that transmissions are the most energy-demanding operation, routing algorithms should consider efficient use of transmissions in their designs in order to extend the network lifetime. …”
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3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images by Zhuliang Qian, Lifeng Xie, Yisheng Xu

“…The comparison of the results between the two algorithms proves that the CNN algorithm has the better processing power and higher efficiency.…”
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C++ and Kotlin performance on Android – a comparative analysis by Grzegorz Zaręba, Maciej Zarębski, Jakub Smołka

“…The authors performed a series of tests based on five selected algorithms: n-bodies, the nth term of the Fibonacci sequence, reading and writing a file, and bubble sort for both small and large sets of values. …”
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Position Control of a 3-CPU Spherical Parallel Manipulator by Massimo Callegari, Luca Carbonari, Giacomo Palmieri, Matteo-Claudio Palpacelli, Donatello Tina

“…The relative simplicity of machine kinematics allowed to test algorithms requiring the closed-loop evaluation of both inverse and direct kinematics; the compensation of gravitational terms has been experimented as well.…”
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COMPRESSION OF HIGH DYNAMIC RANGE OF SAR IMAGES by Yu. I. Golub

“…Objectives of study were comparison of known approaches to compression of the high dynamic range images; selection of optimal parameters for compression algorithms, and selection of a no-reference measure for image quality assessment after compression. …”
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Weak Convergence Theorems for Bregman Relatively Nonexpansive Mappings in Banach Spaces by Chin-Tzong Pang, Eskandar Naraghirad, Ching-Feng Wen

“…We study Mann type iterative algorithms for finding fixed points of Bregman relatively nonexpansive mappings in Banach spaces. …”
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A Note on the Iterative MRI Reconstruction from Nonuniform k-Space Data by Tobias Knopp, Stefan Kunis, Daniel Potts

“…We present four case studies and report on efficient implementation of the related algorithms.…”
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Real-Time Multichannel Imaging Framework for Endoscopy, Catheters, and Fixed Geometry Intraoperative Systems by Rahul A. Sheth, Rabi Upadhyay, Ralph Weissleder, Umar Mahmood

“…The capabilities include acquisition and visualization algorithms that perform registration, segmentation, and histogram-based autoexposure of two imaging channels (full-spectrum white light and near-infrared fluorescence), all in real time. …”
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Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

“…The classification algorithms used were Support Vector Machine (SVM), Bayesian Networks (BN), and Logistic Regression (LR), comparatively. …”
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THE USE OF ARTIFICIAL INTELLIGENCE IN FINANCIAL ADVISORY by David Michelini

“…However, respondents also expressed concerns regarding data security, the need for more reliability, and the transparency of AI algorithms, which could limit the broader adoption of these technologies. …”

Modified α-Parameterized Differential Transform Method for Solving Nonlinear Generalized Gardner Equation by Abdulghafor M. Al-Rozbayani, Ahmed Farooq Qasim

“…The proposed method is applied to solve the generalized Gardner equation by utilizing genetic algorithms to obtain optimal parameter values. Our proposed approach extends the general differential transformation method, allowing for the use of various values for the coefficient α. …”
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Mathematical model of inertial-optical autonomous navigation complex of unmanned aerial vehicle by A. A. Sheinikov, V. A. Malkin

“…Due to the fact that the accuracy of such navigation systems significantly depends on changes in the background-target environment and equipment failures, it is proposed to organize automatic adaptation of the system to changes in external conditions and internal factors by controlling the operating modes and parameters of the software that implements optimal estimation algorithms. For this purpose, a model of an onboard inertial-optical autonomous navigation system has been developed in the class of discrete dynamic systems with a random change in structure.…”
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Erasure channel modelling–based secure bit allocation schemes for multipath routing in wireless sensor networks by Zhenhua Yuan, Chen Chen, Ye Jin

“…Simulation results are presented to illustrate the proposed algorithms.…”
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Strong Convergence Theorems for Quasi-Bregman Nonexpansive Mappings in Reflexive Banach Spaces by Mohammed Ali Alghamdi, Naseer Shahzad, Habtu Zegeye

“…Furthermore, we apply our method to prove strong convergence theorems of iterative algorithms for finding a common solution of a finite family equilibrium problem and a common zero of a finite family of maximal monotone mappings. …”
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Transverse cracking in glass fibre-reinforced composites monitored with synchrotron X-ray multi-projection imaging by Elise Van Vlierberghe, Jeroen Soete, Eleni Myrto Asimakopoulou, Zisheng Yao, Julia Rogalinski, Zhe Hu, Kannara Mom, Bratislav Lukić, Christian Breite, Pablo Villanueava Perez, Yentl Swolfs

“…An extensive data set was gathered to make a 3D reconstruction of the crack evolution over time using XMPI and machine learning-based reconstruction algorithms.  …”
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Effect of Energy Tax Reduction on Fuel Prices by Volker Brühl

“…For a detailed analysis the German antitrust authority should look into the pricing algorithms of all 14,000 filling stations in Germany.…”
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