Super-Resolution Reconstruction From Multiple Defocused Infrared Images of Stationary Scene by Yuxing Mao, Benjiang Zhao, Dongmei Yan, Haiwei Jia

“…Existing SRR algorithms use well-focused images and ignore the value of defocused images generated by the infrared imaging system during focusing. …”
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A study on the effect of spatially variation rainfall on urban flooding by Jinping Zhang, Ruyu Wang, Xuechun Li, Zhiwei Li, Yao Wang, Xi Zhang

“…To overcome the limitations of traditional urban stormwater flooding simulations, which often neglect the spatial variability of rainfall distribution, a spatially variation rainfall pattern generation model based on actual rainfall data were developed. …”
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Issues of Designing Effective Educational Programs in the Field of “Applied Informatics” in the Conditions of Innovative Development by Yu. F. Telnov, M. S. Gasparian, M. A. Filyuk

“…Therefore, when developing and updating educational programs, higher education institutions will have to clarify the composition of professional competencies that must meet both the needs for effective performance of generalized labor functions and labor functions fixed in professional standards, and many educational parameters fixed in the regulatory framework of Russian higher education. …”
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University proceedings. Volga region. Technical sciences by A.A. Ignatiev, V.A. Dobryakov, V.A. Revyakin

“…Studies performed at the Yuri Gagarin State Technical University showed that it is advisable to assess the dynamic quality of the machines by the DS stability margin determined as a result of special processing of vibration measurement information and identification of the DS oscillation autocorrelation function (ACF). The purpose of the work is to algorithmize the process of processing vibration measuring information when generating estimates of the dynamic quality of the machine by the stability margin of the dynamic system in order to identify the initial phase of catastrophic wear of the cutter. …”

Liver developmental microenvironment promotes iHSC generation from human iPSCs by Di Ye, Min Ding, Yu-Mu Song, Heng-Xing Meng, Wen-Hao Chen, Jian-Yun Ge, Yun-Wen Zheng

“…The generation of highly functional iHSCs may make it more feasible to accurately simulate the liver-specific multicellular microenvironments, thus providing new perspectives on the modeling of physiological regenerative processes and disease progression in the liver, as well as useful tools for creating of new therapeutic strategies.…”
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The information gain of explicitly provided over self-generated contextual knowledge for behavioral control. by Lukas Magnaguagno, Stephan Zahno, Ernst-Joachim Hossner

“…To this end, we measured the positioning of female handball players (N = 36 experts + 36 near-experts) in a virtual-reality defensive task as a function of their teammates' defensive-strength patterns, which was either explicitly instructed or had to be self-generated. …”
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Comparative Study of ASE-ASE and ASE-Laser Based Quantum Random Number Generators by Shreyam Maity, Asish Prosad, Harinee Natarajan, V. Balaswamy, Varun Raghunathan

“…We develop, for the first time to the best of out knowledge, closed-form analytical expressions to describe the signal variance as a function of realistic, non-ideal fiber-optic optical components, the signal correlations as a function of digitizer sampling rate, and minimum entropy as a function of signal variance. …”
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Contour wavelet diffusion – a fast and high-quality facial expression generation model by Chenwei Xu, Yuntao Zou

“…The diffusion model can generate high-quality images for clearer and more discriminative faces, but its training and inference time is often prolonged, hampering practical application. …”
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Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation by WEI Zhihong, KONG Xudong, KONG Yan, YAN Shiju, DING Yang, WEI Xianding, KONG Dong, YANG Bo

“…The experimental results show that proposed method based on GLGAN facilitates intensive evaluation of the hippocampus, and drives the discriminator to push the mask value provided by the generator to a more realistic distribution, thereby enhancing hippocampus segmentation accuracy. …”
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Microservices-Driven Automation in Full-Stack Development: Bridging Efficiency and Innovation With FSMicroGenerator by Samira Khalfaoui, Hafida Khalfaoui, Abdellah Azmani

“…FSMicroGenerator also stands out for its ability to create a catalog of ready-to-use functional blocks, enabling their reuse and integration into other solutions. …”
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Digital Architectural Form Generation Through Pixel System-Driven Image Feature Information by Hee-Sung An, You-Chang Jeon, Sung-Wook Kim

“…This study analyzes valuable information (image feature information) from pixel-based images to systematize the form generation process utilizing this information. Information in architecture is mainly used as an analytical tool for functional design optimization. …”
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Next-generation immunotherapeutic approaches for blood cancers: Exploring the efficacy of CAR-T and cancer vaccines by Kiavash Hushmandi, Abbas Ali Imani Fooladi, Russel J. Reiter, Najma Farahani, Liping Liang, Amir Reza Aref, Noushin Nabavi, Mina Alimohammadi, Le Liu, Gautam Sethi

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Cryptanalysis on Two Kinds of Number Theoretic Pseudo-Random Generators Using Coppersmith Method by Ran Zhang, Jingguo Bi, Lixiang Li, Haipeng Peng

“…More precisely, we prove that when the mapping function of LCG and the quadratic generator is unknown, if during each iteration, generators only output the most significant bits of vi, one can also recover the seed of PRNG when enough consecutive or nonconsecutive outputs are obtained. …”
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SSA-GAN: Singular Spectrum Analysis-Enhanced Generative Adversarial Network for Multispectral Pansharpening by Lanfa Liu, Jinian Zhang, Baitao Zhou, Peilun Lyu, Zhanchuan Cai

“…We designed SSA modules within the generator, enabling more effective extraction and utilization of spectral features. …”
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Two-stage voltage control partitioning method for distribution network containing distributed generation by Aigang YANG, Miaoran YANG, Lijun XIE, Jianwei SHAO

“…In the second stage, the Louvain community discovery algorithm is used for partition aggregation, and the initial partition is adjusted by improving the partition modularity function to ensure the reactive power adjustment capability of the partition. …”
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A Novel Technique for Secure Data Cryptosystem Based on Chaotic Key Image Generation by Mustafa Dhiaa Al-Hassani

“…The proposed algorithm generate 2-Dimensional key matrix having the same dimensions of the original image that includes random numbers obtained from the 1-Dimensional logistic chaotic map for given control parameters, which is then processed by converting the fractional parts of them through a function into a set of non-repeating numbers that leads to a vast number of unpredicted probabilities (the factorial of rows times columns). …”
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A Study on an Improved Generative Adversarial Network Model for Super-Resolution Image Reconstruction by Ximin Qu, Cheng Peng

“…Additionally, the joint perceptual-adversarial-content loss function of the SRGAN model balances reconstruction accuracy and visual quality. …”
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Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network by Xingang Mou, Yuan He, Wenfeng Li, Xiao Zhou

“…Lastly, a composite multi-loss function is proposed to enhance the network’s capability to model intricate spatiotemporal evolving radar echo data, facilitating a more comprehensive assessment of the quality of the generated images, which in turn fortifies the network’s robustness. …”
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Bio-inspired generative design of contact interfaces subjected to time-dependent loading conditions by David Hernandez-Aristizabal, Santiago Arroyave-Tobón, Kalenia Marquez-Florez, Jean-Marc Linares

“…The results demonstrate that the growth principles lead to almost uniform contact pressure under time-independent loads, up to 34.7% more uniform than reference shapes. Under time-dependent loads, it generates shapes with reduced maximum shear stress and contact pressure (up to 73%) with respect to initial shapes. …”
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SEGS-1 episomes generated during cassava mosaic disease enhance disease severity by Evangelista Chiunga, Evangelista Chiunga, Evangelista Chiunga, Catherine D. Aimone, Cyprian Rajabu, Mary M. Dallas, Joseph Ndunguru, José T. Ascencio-Ibáñez, Elijah M. Ateka, Linda Hanley-Bowdoin

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