Evaluating topography of mutational signatures with SigProfilerTopography by Burçak Otlu, Ludmil B. Alexandrov

“…Abstract The mutations found in a cancer genome are shaped by diverse processes, each displaying a characteristic mutational signature that may be influenced by the genome’s architecture. …”
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The synchronization of the orthogonal frequency division multiplexing system by R. A. Zhernosekov, V. T. Pershin

“…The result is a matrix that takes into account the deviation of the analyzed samples in the form of random Gaussian processes with zero mean value, allowing to estimate the amplitude of the subcarriers for an arbitrary level of dispersion of random processes.…”
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Enhancing Procurement Efficiency in South Africa through e-Reverse Auction Systems by Mourine S Achieng, Oluwamayowa O. Ogundaini, Nhlanhla Mlitwa

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Dislocation Avalanches in Compressive Creep and Shock Loadings by Alexander R. Umantsev

“…In this article, a novel approach to dislocation plasticity capable of describing emission events and stress bursts is introduced, and computational experiments intended to model the processes of compressive creep and shock compression in samples of various makeup and sizes are discussed. …”
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AAMS-YOLO: enhanced farmland parcel detection for high-resolution remote sensing images by Binyao Wang, Ya’nan Zhou, Weiwei Zhu, Li Feng, Jinke He, Tianjun Wu, Jiancheng Luo, Xin Zhang

“…The proposed model excels in detecting small and densely overlapping objects through advanced feature fusion and multi-scale processing strategies.…”
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The Effect of Fluorine and Hydrogen Concentrations on the Chain Reaction of HF Chemical Laser by Baghdad Science Journal

“…Thus, particular attention was paid to develop a computer program to investigate various processes. …”
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A facile photonics reconfigurable memristor with dynamically allocated neurons and synapses functions by Zhenyu Zhou, Lulu Wang, Gongjie Liu, Yuchen Li, Zhiyuan Guan, Zixuan Zhang, Pengfei Li, Yifei Pei, Jianhui Zhao, Jiameng Sun, Yahong Wang, Yiduo Shao, Xiaobing Yan

“…It is verified that the device can dynamically adjust the neuromorphic according to needs, providing a new idea for the further integration of neuromorphic computing in the future.…”
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Adapting Content Delivery to Limited Resources and Inferred User Interest by Cezar Plesca, Vincent Charvillat, Romulus Grigoras

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Investigation of deep learning image fusion techniques for medical imaging by Angayarkanni Veeraputhiran, Muthukumar Balamurugan, Varun P. Gopi

“…Image fusion is becoming increasingly important as a result of recent advancements in image processing applications because of the enormous number of different capture devices available. …”
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Development of a software and hardware solution to identify trends in demand for goods by A. I. Miftahova, E. I. Yangirov, E. I. Karaseva, A. I. Yangirov, E. Yu. Nikulina, I. G. Drovnikova

“…The resulting technical solution supports batch processing of data, and the architecture of the infrastructure component allows distributed computing. …”
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QoS Measurement of Workflow-Based Web Service Compositions Using Colored Petri Net by Hossein Nematzadeh, Homayun Motameni, Radziah Mohamad, Zahra Nematzadeh

“…Workflow-based web service compositions (WB-WSCs) is one of the main composition categories in service oriented architecture (SOA). Eflow, polymorphic process model (PPM), and business process execution language (BPEL) are the main techniques of the category of WB-WSCs. …”
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Eye tracking scanpath analysis techniques on web pages: A survey, evaluation and comparison by Sukru Eraslan, Yeliz Yesilada, Simon Harper

“…This article also suggests dealing with the limitations of these techniques by pre-processing eye tracking data, considering cognitive processing and addressing their reductionist approach.…”
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Stepper Motor Position Control Using PD and MPC Algorithms Embedded in Programmable Logic Controller by Anshul Jaswal, Ma'moun Abu-Ayyad, Yash Lad, Anilchandra Attaluri

“…However, their application in faster processes, such as servomotors and robotics, is often require faster optimization algorithms or more powerful processors. …”
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Distilling Big Data: Refining Quality Information in the Era of Yottabytes by Sivaraman Ramachandramurthy, Srinivasan Subramaniam, Chandrasekeran Ramasamy

“…With reductions in the cost of storage and computational devices and with increasing proliferation of Cloud, we never felt any constraints in storing or processing such data. …”
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Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit by LIU Yue, LIN Jun, LUO Xiao, CHU Wei, LIU Ren

“…This paper analyzes the development status of speech technology in the field of automotive field, introduces the development process of this technology in detail, focuses on the demand and application of speech recognition technology in the field of rail transit.Aiming at the problem that the display interactive content of different models of rail transit is changeable and needs to be customized and developed, the research on speech recognition technology based on time-delay neural network is carried out and a speech recognition system for train display based on intelligent computing platform is developed. …”
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Multidimensional Small Baseline Subset (MSBAS) Software for Constrained and Unconstrained Deformation Analysis of Partially Coherent DInSAR and Speckle Offset Data by Sergey V. Samsonov

“…Differential Interferometric Synthetic Aperture Radar (DInSAR) and speckle offset data are used to measure ground deformation. Computing deformation time series from these data can be challenging due to varying radar line-of-sight acquisition geometry, rapid coherence loss, and the large datasets involved requiring computationally intensive processing. …”
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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

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A Stochastic Learning Algorithm for Machine Fault Diagnosis by Zhipeng Dong, Yucheng Liu, Jianshe Kang, Shaohui Zhang

“…The proposed method consists of three steps: firstly, to increase the computational efficiency of the model, the dimension of the high-dimensional data is reduced by establishing a random matrix; secondly, for enhancing the clustering influence of the sample, the input data are enhanced by feature processing; thirdly, to make the clustering effects more pronounced, the noise and interference of the data need to be processed, and the singularity value denoising method is used to denoise training data and test data. …”
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Towards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 data by Romain Wenger, David Michéa, Anne Puissant

“…In this context, we developed a fully automated and supervised processing chain (URBA-OPT) using open-source libraries and optimized for rapid calculation on high-performance computing clusters. …”
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Deep Learning-Based Predictive Control of Injection Velocity in Injection Molding Machines by Zhigang Ren, Yaodong Li, Zongze Wu, Shengli Xie

“…The benefits of this approach over the conventional optimization method are illustrated through simulation results, which show that the convergent DL-based controller can effectively avoid the complex calculation in the control process of IMMs and meet the requirements of more robustness and resist environmental uncertainty to a certain level and can be potentially implemented in embedded hardware much more efficiently and conveniently with a smaller memory footprint and faster computation time.…”
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