A Modified Key Generation Algorithm to Rebalanced-RSA and RPower-RSA by İsrafil Okumuş, Ercan Celık

“…A theoretical analysis of all variants, including the proposed modifications, demonstrates that these key generation algorithms improve the encryption process compared to the original variants, and since the encryption key size and one of the decryption key sizes are approximately equal in length, they achieve a more balanced computational effort between encryption and decryption.…”
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Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles by W. Daniel Kissling, Yifang Shi, Jinhu Wang, Agata Walicka, Charles George, Jesper E. Moeslund, France Gerard

“…Key challenges include variability in sensor characteristics and survey designs, non-transparent pre-processing workflows, heterogeneous and complex data, issues with the robustness of metrics and indices, limited model generalizability and transferability across sites, and difficulties in handling big data, such as managing large volumes and utilizing parallel or distributed computing. …”
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An Improved Distributed Multi-User Cooperative Spectrum Sensing Method Based on DCS by Jianwu Zhang, Xiaoyan Chen, Xiaorong Xu

“…However, it increases computational complexity in the process of signal reconstruction. …”
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TO THE QUESTION OF THE USING OF INFORMATIONCOMPUTER TECHNOLOGIES IN LEARNING ENGLISH LANGUAGE by Kerimbaeva T. Botagoz, Kaya Karligash

“…The increasing introduction of new information and computer technologies and application of the competence approach in educational process of Kh. …”
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Spectral Methods in Spatial Statistics by Kun Chen, Lianmin Zhang, Maolin Pan

“…When the spatial location area increases becoming extremely large, it is very difficult, if not possible, to evaluate the covariance matrix determined by the set of location distance even for gridded stationary Gaussian process. To alleviate the numerical challenges, we construct a nonparametric estimator called periodogram of spatial version to represent the sample property in frequency domain, because periodogram requires less computational operation by fast Fourier transform algorithm. …”
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DYNAMIC BRAKING OF THE INERTIAL VIBRATOR OF VIBRATORY PLATES FOR CONCRETE MIXES COMPACTING by D. V. Furmanov, A. V. Barulev, N. E. Tarasova, E. K. Chabutkin

“…The authors applied the experimental method of the research of the dynamic braking process of the inertial vibrator. The parameters of the deceleration and oscillation of the desktop were recorded by the computer monitoring installation.Results. …”
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Diffusion limitation: a possible source for the occurrence of doughnut patterns on DNA microarrays by Kris Pappaert, Heidi Ottevaere, Hugo Thienpont, Paul Van Hummelen, Gert Desmet

“…A combination of computer simulations, theoretical, optical, and experimental techniques shows how ring-shaped hybridization patterns occur when diffusion-limited conditions are present during the hybridization process. …”
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Bayesian Nonparametric Model for Estimating Multistate Travel Time Distribution by Emmanuel Kidando, Ren Moses, Eren E. Ozguven, Thobias Sando

“…The strength of the DPMM is that it can choose the number of components dynamically as part of the algorithm during parameter estimation. To reduce computational complexity, the modeling process was limited to a maximum of six components. …”
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Online Adaptive Error Compensation SVM-Based Sliding Mode Control of an Unmanned Aerial Vehicle by Kaijia Xue, Congqing Wang, Zhiyu Li, Hanxin Chen

“…Sliding mode controller is established through analyzing quad-rotor dynamics model in which the unknown parameters are computed by offline SVM. During this process, the online adaptive error compensation SVM method is applied in this paper. …”
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Extending isolation by resistance to predict genetic connectivity by Robert J. Fletcher Jr, Jorge A. Sefair, Nicholas Kortessis, Roldolfo Jaffe, Robert D. Holt, Ellen P. Robertson, Sarah I. Duncan, Andrew J. Marx, James D. Austin

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Physicochemical and Morphological Changes in Long-Grain Brown Rice Milling: A Study Using Image Visualization Technologies by Xiwu Jia, Rong Dong, Xuan Chen, Zhan Wang, Hongjian Zhang, Wangyang Shen

“…The brown rice milling process was divided into three stages, and flatbed scanning, scanning electron microscopy (SEM), X-ray micro-computed tomography (micro-CT), low-field nuclear magic resonance (LF-NMR), and headspace–gas chromatography–ion mobility spectrometry (HS–GC–IMS) were employed to examine the physicochemical and volatile properties of the samples. …”
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Migrating from Developing Asynchronous Multi-Threading Programs to Reactive Programs in Java by Andrei Zbarcea, Cătălin Tudose

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Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks by K. Karthik, C. Balasubramanian, R. Praveen

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Conformalons: a new class of black hole mimickers by Leonardo Modesto, Ali Akil, Cosimo Bambi

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An Iterative Shifting Disaggregation Algorithm for Multi-Source, Irregularly Sampled, and Overlapped Time Series by Colin O. Quinn, Ronald H. Brown, George F. Corliss, Richard J. Povinelli

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Spatiotemporal influence analysis model for cultural landscapes based on a virtual geographic environment by Xiangfei She, Xin Pan, Jian Zhao

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Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning by Yi Guo, Qianqian Wang, Bingliang Hu, Xueming Qian, Haibo Ye

“…First, we performed noise estimation preprocessing to filter out bands with high noise levels to reduce the interference in the agent’s learning process. Then, the band selection problem was formulated as a Markov Decision Process (MDP), where the agent learned an optimal band selection strategy through interactions with the environment. …”
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Neuroevolutionary reinforcing learning of neural networks by Y. A. Bury, D. I. Samal

“…The last two are used as the primary method for reducing the dimension of the input signal of the system and simplifying the process of its training in terms of computational complexity.In the presented work, the neural network structure of the control device of the modeled system is formed in the course of the evolutionary process, taking into account the currently known structural and developmental features of self-learning systems that take place in living nature. …”
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Application of the project methods and information technologies in the study of the disciplines of mathematical, physical cycles of the higher school by I. I. Bobrova, E. G. Trofimov

“…As an intensification of the educational process, the authors of the study see the use of automated computer tools in conjunction with other methodological techniques.Materials and methods. …”
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Decolorization with Warmth–Coolness Adjustment in an Opponent and Complementary Color System by Oscar Sanchez-Cesteros, Mariano Rincon

“…In addition, the method offers a computational advantage by reducing the process through direct pixel-level operation.…”
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