DGA domain detection and botnet prevention using Q-learning for POMDP by Y. V. Bubnov, N. N. Ivanov

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Research on cloud computing users’ public safety trust model based on scorecard-random forest by Shengli ZHOU, Canghong JIN, Lifa WU, Zheng HONG

“…Traditional cloud computing trust models mainly focused on the calculation of the trust of users’ behavior.In the process of classification and evaluation,there were some problems such as ignorance of content security and lack of trust division verification.Aiming to solve these problems,cloud computing users’ public safety trust model based on scorecard-random forest was proposed.Firstly,the text was processed using Word2Vec in the data preprocessing stage.The convolution neural network (CNN) was used to extract the sentence features for user content tag classification.Then,scorecard method was used to filter the strong correlation index.Meanwhile,in order to establish the users’ public safety trust evaluation model in cloud computing,a random forest method was applied.Experimental results show that the proposed users’ public safety trust evaluation model outperforms the general trust evaluation model.The proposed model can effectively distinguish malicious users from normal users,and it can improve the efficiency of the cloud computing users management.…”
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Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method by ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming

“…The algorithm was designed by initially incorporating batch normalization techniques to optimize the training process of deep neural networks. Subsequently, optimization was performed using the Quasi-Newton method to effectively approximate the optimal solution. …”
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Multi objective reinforcement learning driven task offloading algorithm for satellite edge computing networks by Sai Xu, Jun Liu, Jiawei Tang, Xiangjun Liu, Zhi Li

“…Abstract Satellite edge computing (SEC) has become a revolutionary paradigm to improve the quality of service, reduce the pressure on satellite-terrestrial backhaul bandwidth and reduce the average response delay of task requests. …”
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Fuzzy clustering based scheduling algorithm for minimizing the tasks completion time in cloud computing environment by Nawaf R. Alharbe

“…Abstract This paper explores the complexity of project planning in a cloud computing environment and recognizes the challenges associated with distributed resources, heterogeneity, and dynamic changes in workloads. …”
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Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions by Sohail Jabbar, Rabia Iram, Abid Ali Minhas, Imran Shafi, Shehzad Khalid, Muqeet Ahmad

“…Interdisciplinary research is playing a splendid contribution for various problems' solving. The process of combining the individuals' output to form a single problem solving solution is depicted in three-stage ensemble design. …”
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Single-cell mutational burden distributions in birth-death processes. by Christo Morison, Dudley Stark, Weini Huang

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High-throughput alloy and process design for metal additive manufacturing by Sofia Sheikh, Brent Vela, Pejman Honarmandi, Peter Morcos, David Shoukr, Abdelrahman Mostafa Kotb, Ibrahim Karaman, Alaa Elwany, Raymundo Arróyave

“…Evaluating alloy printability requires extensive analysis of chemical composition and processing conditions. The complexity of experimental exploration drives the need for high-throughput computational frameworks. …”
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An AI-based framework for improving efficiency and fairness in the interview process by Mohannad Taman, Yahia Khaled, Dalia Sobhy

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Observation of the non-Hermitian skin effect and Fermi skin on a digital quantum computer by Ruizhe Shen, Tianqi Chen, Bo Yang, Ching Hua Lee

“…Here, we report the observation of the NHSE and its many-fermion analog on a universal quantum processor. To implement NHSE accumulation on a quantum computer, the time-evolution circuit not only needs to be non-reciprocal and non-unitary, but must also contain sufficiently many lattice qubits. …”
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Dynamic QoS-aware intelligent edge computing resource management algorithm for body area networks by MU Siqi, WEN Shuo, LU Yang, AI Bo

“…Firstly, considering the Markov nature of multi-source task priorities and channel state changes in BAN, the original stochastic optimization problem was transformed into an infinite horizon Markov decision process problem. Then, a multi-source task priority sequence for each BAN was constructed and an online decision-making method that integrated proximal policy optimization (PPO) was proposed for task offloading and computing resource allocation. …”
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A Prototyping and Evaluation of Hospital Dashboard through End-User Computing Satisfaction Model (EUCS) by Saeed Rouhani, Shooka Zamenian, Sayna Rotbie

“…In today's competitive environment, one of the new tools in the field ofinformation technology is business or organizational dashboards that are as abackup in the process of strategic management of organizations. …”
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ScalEdge: A framework for scalable edge computing in Internet of things–based smart systems by Mohammad Babar, Muhammad Sohail Khan

“…The Internet of things (IoT) devices are resource-constrained, unable to process compute-intensive tasks. The convergence of edge computing and IoT with computation offloading offers a feasible solution in terms of performance. …”
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An efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios by Jun-Feng Tian, Hao-Ning Wang

“…Since the fog computing center only has a part of the private key generated using the identity information, the security of the system will not be damaged due to the leakage of part of the private key held by the fog center, and the fog center significantly participates in the signature generation process, which significantly reduces the computation and communication overhead of the Internet of things device. …”
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A data and knowledge-driven practice for ensuring stability in ultra-large intelligent computing clusters by NIU Hongweihua, HUANG Yongbao, DING Guoqiang, HUANG Bao, ZHAO Zhiwen, XU Yang, WANG Tao, ZHANG Ruiling, WANG Xuan, ZHANG Yixiang

“…A data and knowledge-driven stability assurance scheme for such clusters was proposed to address the issues of frequent hardware failures, persistently high task training failure rates, and difficulties in cross-domain problem localization within ultra-large intelligent computing clusters with over ten thousand computing cards. …”
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Preface to Special Issue on Scientific Computing and Learning Analytics for Smart Healthcare Systems (Part II) by Chinmay Chakraborty, Sayonara Barbosa, Lalit Garg

“… This special issue introduces emerging intelligent healthcare technologies that incorporate big medical data, artificial intelligence, scientific computing, federated learning, bio-inspired computation, the Internet of Medical Things, security and privacy, semantic databases, etc. …”
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An energy-saving virtual machine scheduling algorithm for resource management based on cloud computing technology by Liangyu Zhang

“…In this paper, the current research status of cloud computing and virtual machine scheduling in cloud computing environments is analyzed, and the concept and characteristics, classification, application scenarios, and key technologies of cloud computing are elaborated. …”
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Service Virtualization Using a Non-von Neumann Parallel, Distributed, and Scalable Computing Model by Rao Mikkilineni, Giovanni Morana, Daniele Zito, Marco Di Sano

“…This paper describes a prototype implementing a high degree of transaction resilience in distributed software systems using a non-von Neumann computing model exploiting parallelism in computing nodes. …”
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Real-time human-robot interaction and service provision using hybrid intelligent computing framework. by Mohammed Albekairi, Meshari D Alanazi, Turki M Alanazi, Mohamed Vall O Mohamed, Khaled Kaaniche, Anis Sahbani, Ali Elrashidi

“…This research introduces a Hybrid Intelligent Computing Model (HICM) to improve robots' ability to process inquiries autonomously. …”
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Paint shop vehicle sequencing based on quantum computing considering color changeover and painting quality by Jing Huang, Qing Chang, Hua-Tzu Fan

“…With typically hundreds of vehicles in one shift, the paint shop sequencing problem is intractable in classical computing. In this paper, we propose to solve a general paint shop sequencing problem using state-of-the-art quantum computing algorithms. …”
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