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. …”
Get full text

Enhancing IoT Connectivity through Advanced Scheduling at 142 GHz Sub-THz in 5G and Beyond Networks by Mohammed Mahfooudi, Ismail Angri, Mohammed Fattah, Moulhime EL Bekkali, Abdellah Najid

“…To ensure efficient optimization of the existing spectrum resources, the Radio Resource Management (RRM) function, responsible for managing and allocating radio resources like frequency, time, and power to ensure effective optimization of the existing spectrum, through an optimal scheduling algorithm can prioritize resource allocation based on specific requirements for IoT applications, such as latency, reliability, and throughput. …”
Get full text

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.…”
Get full text

Optimizing Rural Connectivity Through Hybrid Wireless-Wireline and Satellite Network Integration by Fareha Nizam, Teong Chee Chuah, Ying Loong Lee

“…In the user association scheme, the user association problem is formulated as a combinatorial optimization problem and solved using a greedy algorithm with a fairness-throughput trade-off that efficiently allocates resources based on network conditions and service priorities. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics by Leonidas Theodorakopoulos, Aristeidis Karras, George A. Krimpas

Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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

“…The research results can provide a reference basis for the planning of sea–rail intermodal container transportation and the allocation of transportation resources, and achieve the overall efficiency improvement of logistics systems.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

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. …”
Get full text

Evaluating regional sustainable energy potential through hierarchical clustering and machine learning by Selen Avcı Azkeskin, Zerrin Aladağ

“…The increase in global energy demand, combined with the adverse environmental impacts of fossil fuels, has highlighted the urgency of transitioning to sustainable energy sources. In large and heterogeneous countries like Türkiye, region-specific analyses of sustainable energy potential (SEP) are crucial for formulating effective policies and optimizing resource allocation. …”
Get full text

Optimizing Medical IoT Disaster Management with Data Compression by Nunudzai Mrewa, Athirah Mohd Ramly, Angela Amphawan, Tse Kian Neo

“…They promise improved data handling, more effective decision-making, and optimized resource allocation across a range of IoT applications. …”
Get full text