Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

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Development of the course of process management of the enterprise with the use of free software by A. G. Mikheev, V. E. Pyatetskiy, D. S. Kuznetsov

“…The goal of the search is to develop teaching methods of the process approach to enterprise management, which involves the execution of business process instances in a computer environment. …”
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AI-Enhanced Robotic Process Automation: A Review of Intelligent Automation Innovations by Sadia Afrin, Shobnom Roksana, Riad Akram

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Discovering hierarchical process models: an approach based on events partitioning by Antonina K. Begicheva, Irina A. Lomazova, Roman A. Nesterov

“…Process mining is a field of computer science that deals with the discovery and analysis of process models based on automatically generated event logs. …”
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Teaching methods of work with data in the course of process management by A. G. Mikheev

“…The purpose of research is the development of a distance training method to teach students to work with data, used in the training course of process approach to the enterprise management. A difficult point in teaching development of business-processes that involve the execution of business-process instances in the enterprise computer environment is the interaction of business processes with data in cases where process management is taught to students, studying in the field of business information technology or financial and accounting professions. …”
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Modelling of Water Quality: An Application to a Water Treatment Process by Petri Juntunen, Mika Liukkonen, Marja Pelo, Markku J. Lehtola, Yrjö Hiltunen

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Learning Representations for Weakly Supervised Natural Language Processing Tasks by Fei Huang, Arun Ahuja, Doug Downey, Yi Yang, Yuhong Guo, Alexander Yates

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PyNET-Q×Q: An Efficient PyNET Variant for Q×Q Bayer Pattern Demosaicing in CMOS Image Sensors by Minhyeok Cho, Haechang Lee, Hyunwoo Je, Kijeong Kim, Dongil Ryu, Albert No

“…Deep learning-based image signal processor (ISP) models for mobile cameras can generate high-quality images that rival those of professional DSLR cameras. …”
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Implementation of A Geographically Integrated On-Demand Computer Service System Using the KNN Method by Hafiq Ibnu Wardana, Astrid Novita Putri

“…Difficult access for customers with limited mobility, the lack of location-based partner distribution, and the manual partner search process remain major challenges in conventional computer service. …”
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Parallel Jacobian Computation Based on Distance-2 Algorithm and Its Application in Coupling Problems by LIU Lixun, ZHANG Han, PENG Xinru, DOU Qinrong, WU Yingjie, GUO Jiong, LI Fu

“…The Jacobian coloring and Jacobian computing based on this method were tested under a different number of processors. …”

16-channel photonic solver for optimization problems on a silicon chip by Jiayi Ouyang, Shengping Liu, Ziyue Yang, Wei Wang, Xue Feng, Yongzhuo Li, Yidong Huang

“…The photonic chip is employed to perform the optical vector-matrix multiplication (OVMM) to calculate the cost function of the QUBO problem, while the electronic processor runs the heuristic algorithm to search for the optimal solution. …”
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A Bayesian Network under Strict Chain Model for Computing Flow Risks in Smart City by Zengfanxiang Wei, Lei Zhang, Qi Yue, Muchen Zhong

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Computational Fluid Dynamics calculation of a planar solid oxide fuel cell design running on syngas by Pianko-Oprych Paulina, Zinko Tomasz, Jaworski Zdzisław

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Research on intrusion response strategy based on static Bayesian game in mobile edge computing network by Wei FAN, Cheng PENG, Dali ZHU, Yuqing WANG

“…In the mobile edge computing (MEC) environment, the resources of edge nodes are limited.It is difficult to detect the intrusion process accurately, and there is no effective intrusion response strategy to deal with external intrusions.An intrusion detection network structure suitable for mobile edge computing environment was proposed and an intrusion response decision model based on static Bayesian game was established to simulate the network interaction behavior between edge nodes and external intruders.The probability of attackers and defenders in the game process was predicted respectively.The influence of the system resource, the cost of intrusion response, the detection rate and false alarm rate were considered comprehensively by the intrusion response decision model.The response decision of the intrusion detection system was optimized on the basis of the considering both resource consumption of the intrusion detection and the privacy protection of the edge nodes.The factors that affected the decision-making of intrusion response were analyzed, and the experimental basis for the specific application was provided.…”
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Research on intrusion response strategy based on static Bayesian game in mobile edge computing network by Wei FAN, Cheng PENG, Dali ZHU, Yuqing WANG

“…In the mobile edge computing (MEC) environment, the resources of edge nodes are limited.It is difficult to detect the intrusion process accurately, and there is no effective intrusion response strategy to deal with external intrusions.An intrusion detection network structure suitable for mobile edge computing environment was proposed and an intrusion response decision model based on static Bayesian game was established to simulate the network interaction behavior between edge nodes and external intruders.The probability of attackers and defenders in the game process was predicted respectively.The influence of the system resource, the cost of intrusion response, the detection rate and false alarm rate were considered comprehensively by the intrusion response decision model.The response decision of the intrusion detection system was optimized on the basis of the considering both resource consumption of the intrusion detection and the privacy protection of the edge nodes.The factors that affected the decision-making of intrusion response were analyzed, and the experimental basis for the specific application was provided.…”
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Granular computing-driven two-stage consensus model for large-scale group decision-making by Yanjun Wang, Xi Chen, Lidong Wang

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Stage-based colorectal cancer prediction on uncertain dataset using rough computing and LSTM models by K. Supriya, A. Anitha

“…Abstract Artificial intelligence (AI) is an attractive field of Computer Science that helps to classify and to predict various real-time applications. …”
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Analisis Kinerja Jaringan Sensor Nirkabel untuk Edge Computing Menggunakan LORA SX1278 by Mochammad Hannats Hanafi Ichsan

“…The sensing process can be done by using various sensors as needed, while the technology for processing the sensing node is called Edge Computing technology. …”
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Effects of AlOx Sub‐Oxide Layer on Conductance Training of Passive Memristor for Neuromorphic Computing by Qin Xie, Xinqiang Pan, Wenbo Luo, Yao Shuai, Yi Wang, Junde Tong, Zebin Zhao, Chuangui Wu, Wanli Zhang

“…Abstract Memristors are recognized as crucial devices for the hardware implementation of neuromorphic computing. The conductance training process of memristors has a direct impact on the performance of neuromorphic computing. …”
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Investigation of measurement-computing procedures primary system informational transformation of stochastically non-stationary vibrosignals by O. Yu. Kropachek

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