THE CONCEPT AND NATURE OF THE FUTURE MANAGERS COMMUNICATIVE-STRATEGIC BEHAVIOR by Victoria V. Levchenko, Anna V. Gorelova

“…In their roles of entrepreneurs, resource allocators and negotiators, it is necessary for managers to know the mechanisms for predicting the communication results and the possible behavior of interlocutors, to know the basic strategies of business communication, as well as the algorithm of strategic communication and strategic ways of solving communication problems; use different communication strategies to most effectively achieve the communication objectives; analyze and correct communicative behavior and choose communication strategies depending on the situation. …”
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Optimization of multi-user scheduling in WPCNs by Lina Yuan, Huajun Chen, Tingsui Liu, Ging Gong

“…However, WPCNs face new challenges in multi-user scheduling due to factors like energy collection efficiency and resource allocation, which are crucial for optimizing network performance. …”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…Machine learning provides a valuable approach for predicting economic indexes, managing risks, and optimizing resource allocation. However, the effectiveness of these models depends on the quality of the data used, and there are challenges related to data completeness, model interpretability, and computational resources. …”
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Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning by Bruno Matos Porto, Flavio Sanson Fogliatto

“…Feature engineering (FE) improved the performance of the ML algorithms. Conclusion Accuracy in predicting ED arrivals, achieved through the FE approach, is key for managing human and material resources, as well as reducing patient waiting times and lengths of stay.…”
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Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices by Gavriela Asiminari, Lefteris Benos, Dimitrios Kateris, Patrizia Busato, Charisios Achillas, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis

“…This can be particularly valuable for farmers who need to make informed decisions about resource allocation and operational planning.…”
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A Method for Service Function Chain Migration Based on Server Failure Prediction in Mobile Edge Computing Environment by Joelle Kabdjou, Norihiko Shinomiya

“…NFV enables the deployment of network functions as software, optimizing resource allocation and reducing costs. This study proposes a proactive failure prediction and migration strategy for MEC environments. …”
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Intelligent forecasting model for aquatic production based on artificial neural network by Junqiao Hu, Jingyu Yin, Chaohui Yang, Yanxi Zhou, Changqing Li, Changqing Li

“…The robustness of the RBF model suggests that it can be effectively applied for regional aquatic production forecasting, supporting policymakers in resource allocation and risk mitigation. Furthermore, the factor prioritization enables aquaculture practitioners to optimize farming strategies, such as adjusting production scales based on economic and environmental trends. …”
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Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics by Leonidas Theodorakopoulos, Aristeidis Karras, George A. Krimpas

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Data Compression with a Time Limit by Bruno Carpentieri

“…In this paper, we explore a framework to identify an optimal choice of compression algorithms that enables the best allocation of computing resources in a large-scale data storage environment: our goal is to maximize the efficiency of data compression given a time limit that must be observed by the compression process. …”
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Fair and Transparent Student Admission Prediction Using Machine Learning Models by George Raftopoulos, Gregory Davrazos, Sotiris Kotsiantis

“…Student admission prediction is a crucial aspect of academic planning, offering insights into enrollment trends, resource allocation, and institutional growth. However, traditional methods often lack the ability to address fairness and transparency, leading to potential biases and inequities in the decision-making process. …”
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A Weight Assignment-Enhanced Convolutional Neural Network (WACNN) for Freight Volume Prediction of Sea–Rail Intermodal Container Systems by Yuhonghao Wang, Wenxin Li, Xingmin Qi, Yinzhang Yu

“…In order to integrate the use of transportation resources, develop a reasonable sea–rail intermodal container transportation plan, and achieve cost reduction and efficiency improvement of the multimodal transportation system, a method for predicting the daily freight volume of sea–rail intermodal transportation based on a convolutional neural network (CNN) algorithm is proposed and a new feature processing method is used: weight assignment (WA). …”
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A Regret-Enhanced DEA Approach to Mapping Renewable Energy Efficiency in Asia’s Growth Economies by Chia-Nan Wang, Nhat-Luong Nhieu, Yu-Cin Ye

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Digital intelligence and synergy of pollution reduction and carbon reduction: “Dividend” or “gap”? by Jiajia Li, Xianfeng Han, Tonglei Zhang, Jian Xiao, Longtao Chen

“…The results showed that: ① DI significantly promotes SPCR. ② Mechanism tests demonstrated that DI can indirectly enhance SPCR by optimizing resource allocation and reinforcing government interventions. ③ Further analysis showed that the impact of DI on SPCR was more substantial in regions with lower levels of economic and environmental competition. …”
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Cooperative Transmission in Cognitive Radio Ad Hoc Networks by Juncheng Jia, Shukui Zhang

“…We propose a heuristic algorithm to solve the resource allocation problem, which is based on the metric of utility-spectrum ratio of transmission groups. …”
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Pulse Sequence Division in Mixed Signal Flow by V. F. Korotkov, R. S. Zyryanov

“…Based on the classification improved algorithm for the allocation sequence is developed. …”
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Visual analytics of urban epidemic situation development and dynamic regulation by Song WANG, Shijie CHEN, Hanglin LI, Xiaohui LI, Qiongfang FENG, Huijie WANG

“…In order to solve the reasonable allocation of limited medical resources for patients, a visual platform for dynamic control of cabin hospital was built based on the dataset of the COVID-19 epidemic in Wuhan cabin hospital, which integrates multi-source data such as public opinion, space-time trajectory and science popularization.The droppingwater diagram was introduced to dynamically monitor the overall situation of the cabin hospital.The theme model and sentiment dictionary were used to extract the emotional features of the masses, the WordStream were used to visually present the trend of urban public opinion.The path planning algorithm based on hospital load capacity were built for treatment route, the population-oriented science information of access to cabin hospital and the urban recovery model can enhance anti-epidemic confidence.The system is helpful to realize the reasonable allocation of human and material resources, timely guide the emotional trend of the masses, pay attention to the change of public opinion after the release of new polices/decisions, and slow down the phenomenon of patients gathering.The function and effectiveness of the system was verified by the analysis of several cases.…”
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Enabling Power Systems With SQKD in Presence of Remote Nodes by Mariam Gado, Muhammad Ismail

“…Due to the complexity of the allocation problem, this paper develops algorithms based on Density-Based Spatial Clustering of Applications with Noise algorithm (DBSCAN), Dijksra’s algorithm and genetic algorithms. …”
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Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network by Qiyue Huang, Yuqing Zheng, Yuxuan Xu

“…It can provide help for power grid dispatching and decision-making, optimize resource allocation, reduce operation cost, and ensure system safety. …”
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Experimental Study on Heuristics Energy Management Strategy for Hybrid Energy Storage System by Alok Ranjan, Sanjay Bodkhe, Gaurav Goyal, Archana Belge, Sneha Tibude

“…The energy management strategy (EMS) is a decision-making algorithm for effective power allocation between storage devices in a hybrid energy storage system (HESS). …”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…Traditional operation simulation-based planning approaches often fail to provide effective flexibility matching mechanisms, resulting in either insufficient resource allocation or over-provisioning, while struggling to reconcile reliability requirements with computational complexity. …”
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