Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

“…Beyond medicine, the integration of machine learning algorithms in liver cirrhosis prediction could have broader socio-economic implications, including enhanced resource allocation and healthcare delivery optimization.…”
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Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification by Miguel Suárez, Ana M. Torres, Pilar Blasco-Segura, Jorge Mateo

“…Its ability to reduce diagnostic delays, improve classification accuracy, and optimize resource allocation make it a promising tool for integrating artificial intelligence into psychiatric care. …”
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From algorithms to negotiations: Why health diplomacy must adapt. by Brian Li Han Wong, Garry Aslanyan, Warisa Panichkriangkrai, Ricardo Baptista Leite, Jemilah Mahmood, Anders Nordström

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Anti-Jamming RIS Communications Using DQN-Based Algorithm by Pham Duy Thanh, Hoang Thi Huong Giang, Ic-Pyo Hong

“…To this end, we formulate an anti-jamming communication optimization problem as a Markov decision process (MDP) framework and then design a deep Q network (DQN)-based algorithm to generate an optimal policy. As a result, the optimal resource allocation is achieved through trial-and-error interactions with environment by observing the predefined rewards and the network state transition. …”
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A node deployment and resource optimization method for CPDS based on cloud‐fog‐edge collaboration by Xiaoping Xiong, Geng Yang

“…Subsequently, an improved multi‐objective particle swarm optimization algorithm (MWM‐MOPSO) is employed to solve the task resource allocation problem. …”
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Multiple UAV Swarms Collaborative Firefighting Strategy Considering Forest Fire Spread and Resource Constraints by Pei Zhu, Rui Song, Jiangao Zhang, Ziheng Xu, Yaqi Gou, Zhi Sun, Quan Shao

“…To address the demands of efficient forest fire detection and suppression, an adaptive multiple UAV swarm collaborative firefighting strategy considering dynamic forest fire spread and resource constraints was proposed in this paper. The multiple UAV swarm adaptive information-driven collaborative search (MUSAIDCS) algorithm and the resource-limited firefighting model were established. …”
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Human resource management model based on multi-objective differential evolution and multi-skill scheduling by Yanxia Dong, Tiantian Lu

“…This provides a scientific basis for enterprises to allocate human resources reasonably and improve project efficiency. …”
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A Novel NSGA-III-GKM++ Framework for Multi-Objective Cloud Resource Brokerage Optimization by Ahmed Yosreddin Samti, Ines Ben Jaafar, Issam Nouaouri, Patrick Hirsch

“…Cloud resource brokerage is a fundamental challenge in cloud computing, requiring the efficient selection and allocation of services from multiple providers to optimize performance, sustainability, and cost-effectiveness. …”
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A Multiconstrained Grid Scheduling Algorithm with Load Balancing and Fault Tolerance by P. Keerthika, P. Suresh

“…A scheduling algorithm is said to be efficient if and only if it performs better resource allocation even in case of resource failure. …”
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Intelligent Integration Method of AI English Teaching Resource Information under Multi-Agent Collaboration by Minjuan Liu

“…Moreover, this article analyzes the principles and properties of the three algorithms, ALO, GWO, and MFO, and integrates them into the D2D power allocation problem in the two communication modes. …”
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Application-oriented resource matching model based on trust for internet-based virtual computing environment by Chun-ge ZHU, Xin-ran LIU, Yi-xian YANG, Hong ZHANG

“…In order to solve the problem of reasonable resource s ing in the virtual computing environment (iVCE),a resource matching model,based on trust “resource sliding window” model,was proposed.Firstly,the resources were classified in advance by their static properties.Then the resource nodes were evaluated by a trust model based on the time window and Bayesian algorithm,and the evaluated results as well as the resource load were fused to determine the levels of the dynamic real-time performance.Finally,the scheduling resources were allocated according to the comprehensive assessment of the static and dynamic properties of the resource nodes.The proposed model provides a basis of scheduling strategy for different resources with different tasks and attributes,thus achieving the goal of “proper resources’ serving proper tasks”.Simulation results show that,compared the previous scheduling algorithm,the proposed model has better performance in the success rate of task execution and the rate of resource utilization.…”
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An Improved Coral Reef Optimization-Based Scheduling Algorithm for Cloud Computing by Shuzhen Wan, Lixin Qi

“…In this paper, we establish a resource allocation framework and propose a novel task scheduling algorithm. …”
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Application of improved clustering algorithm in mixed teaching of modern educational technology by Lei Shu, Guirong Li

“…The improved clustering algorithm demonstrates high precision and flexibility, enabling accurate resource allocation, effective teaching content, and targeted pacing adjustments based on students’ learning progress. …”
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Joint Antenna Selection and Proportional Fairness User Scheduling for Multi-User Massive MIMO Systems by Boqing Chen, Lijun Yang, Meng Wu

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A Novel UCAN Power Control Algorithm Based on the Stackelberg Game by Huaping Chen, Zhiyu Wang, Zhongyang He, Guoqiang Li

“…In this paper, A novel UnderWater Cognitive Acoustic Sensor Network(UCANs) power control algorithm based on the Stackelberg game is proposed to solve the problems of low system capacity, high inter-node interference, and poor communication quality due to unreasonable power allocation when Under Water Acoustic Sensor Networks (UASNs) share spectrum resources. …”
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Optimization Configuration Method of Energy Storage Considering Photovoltaic Power Consumption and Source-Load Uncertainty by Junjie Qiao, Xiaofang Meng, Weigang Zheng, Pengxue Huang, Tiefeng Xu, Yupeng Xu

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Research on the security of national secret algorithm based compute first networking by Jie PAN, Lan YE, Pengfei ZHANG, Zhonggui BU

“…With the promotion of national secret algorithm, in-depth research on the arithmetic network was carried out, a more efficient and reasonable security scheme for the arithmetic network was proposed, ensuring the data security and privacy of the arithmetic network with the help of the state secret algorithm.The main elements of the design program included: Supporting arithmetic demand and cryptographic invocation through the underlying resources, the arithmetic orchestration layer provided the ability to orchestrate data arithmetic, meanwhile, the arithmetic scheduling layer intelligently discerned the optimal nodes for arithmetic resource scheduling and allocation; the cryptographic reinforcement layer used the national secret algorithm based on hardware support with the help of public key cryptosystem, hash function, digital envelope, homomorphic encryption, blockchain and other technologies.Focusing on arithmetic network access security, transmission security, data security and privacy protection aspects of security implementation.An architecture and application form was innovatively proposed to guarantee the data security of the arithmetic network, which could meet the needs of the application layer arithmetic in the scenarios of big data, intelligent technology, etc..The security of the arithmetic network is enhanced by empowering the arithmetic network through the state-secret algorithm.…”
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Modeling and Optimization of Cable Production Scheduling by Incorporating an Ant Colony Algorithm by Changbiao Zhu, Chongxin Wang, Zhonghua Ni, Xiaojun Liu, Abbas Raza

“…This work proposed a cable production scheduling optimization method based on an ant colony algorithm, aiming at solving the problems of the inefficiency and underutilization of resources in the process of traditional cable scheduling. …”
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An Approach for Multi-Source Land Use and Land Cover Data Fusion Considering Spatial Correlations by Jing Yang, Yiheng Jiang, Qirui Song, Zheng Wang, Yang Hu, Kaiqiang Li, Yizhong Sun

“…The proposed multi-source land use data fusion method and its products can provide support and services for urban sustainable construction, resource management, and environmental monitoring and protection, demonstrating significant research value and importance.…”
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Dual-Resource Optimization Configuration and Collaborative Scheduling for Flexible Job Shop Under Worker Flexibility Constraints by Zijie Ren, Hongyi Qu, Mejdl Safran, Jiafu Wan

“…This paper focuses on achieving resource allocation via personnel flexibility quantification and dual-resource collaborative scheduling optimization. …”
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