Modeling of information-analytical support for the timber industry complex by Poluektov Alexander, Skvortsova Tatiana, Anikeev Evgeny, Yagodkin Alexander

“…A model of the behaviour of a multi-purpose information system is developed and mathematically justified, and its reachability is checked. The resource allocation problem is also formulated and the solution of the problem is mathematically justified. …”
Get full text

Flood extent mapping in SAR images using semi-supervised approach by Girisha S, Savitha G, Sughosh P

“…Precise mapping of flood levels is essential for directing emergency response, allocating resources as efficiently as possible, and estimating the degree of damage. …”
Get full text

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review by Hesameddin Akbarein, Mohammad Hussein Taaghi, Mahyar Mohebbi, Parham Soufizadeh

“…Consequently, healthcare systems stand to gain notable advantages, such as enhanced accessibility, treatment efficacy, and optimized resource allocation, owing to the seamless integration of AI. …”
Get full text

Abiotic drivers of activity in a large, free-ranging, freshwater teleost, Murray cod (Maccullochella peelii). by Jason D Thiem, Ian J Wooden, Lee J Baumgartner, Gavin L Butler, Jamin Forbes, Matthew D Taylor, Robyn J Watts

Get full text

Intelligent Beam-Hopping-Based Grant-Free Random Access in Secure IoT-Oriented Satellite Networks by Zhongliang Deng, Yicheng Liao

“…This technique utilizes orthogonal resource allocation algorithms to facilitate efficient resource sharing, effectively tackling the irregular and dynamic traffic. …”
Get full text

Harnessing Machine Learning for Intelligent Networking in 5G Technology and Beyond: Advancements, Applications and Challenges by Kristi Dulaj, Abdulraqeb Alhammadi, Ibraheem Shayea, Ayman A. El-Saleh, Mohammad Alnakhli

“…This research investigates ML approaches in 5G networks for adaptive spectrum usage, quality of service (QoS) management, predictive maintenance, and network optimization. By leveraging ML algorithms, 5G networks can forecast user behavior, allocate resources optimally, and dynamically adjust to changing conditions, enhancing performance and dependability. …”
Get full text

Modeling LTE-advanced cell capacity estimation using packet bundling and carrier aggregation by Rajiv Senapati

“…The model proposed in this article explicitly uses some long term evolution (LTE)-Advanced (LTE-A)-specific enhancements such as carrier aggregation (CA) and channel quality indication (CQI)-based resource allocation. Further, this study proposes a CQI-based clustering approach with packet bundling and CA to optimize radio resource utilization and enhance LTE-A cell capacity. …”
Get full text

Predicting clinical outcomes at hospital admission of patients with COVID-19 pneumonia using artificial intelligence: a secondary analysis of a randomized clinical trial by Caio César Souza Conceição, Camila Marinelli Martins, Mayck Medeiros Silva, Hugo Caire de Castro Faria Neto, Davide Chiumello, Davide Chiumello, Davide Chiumello, Patricia Rieken Macedo Rocco, Fernanda Ferreira Cruz, Pedro Leme Silva

“…BackgroundPredicting clinical improvement after hospital admission in patients with COVID-19 is crucial for effective resource allocation. Machine-learning tools can help identify patients likely to show clinical improvement based on real-world data. …”
Get full text

Process Optimization for Complex Product Assembly Workshops with AGV Integration via Discrete Event Simulation by Hailong Song, Shengluo Yang, Shuoxin Yin, Zhigang Xu

“…For complex assembly workshops, optimizing AGV scheduling is critical to enhancing production efficiency and resource utilization. Traditional scheduling methods often rely on fixed priority rules and basic path planning algorithms, which are insufficient to accommodate the dynamic changes in resource availability and task demands. …”
Get full text

The Shapley Value in Data Science: Advances in Computation, Extensions, and Applications by Lei Qin, Yingqiu Zhu, Shaonan Liu, Xingjian Zhang, Yining Zhao

“…The Shapley value is a fundamental concept in data science, providing a principled framework for fair resource allocation, feature importance quantification, and improved interpretability of complex models. …”
Get full text

Heterogeneous Graph Attention Networks for Scheduling in Cloud Manufacturing and Logistics by Dmitrii Fomin, Ilya Makarov, Mariia Voronina, Anna Strimovskaya, Vitaliy Pozdnyakov

“…Efficient task scheduling and resource allocation in manufacturing are vital for gaining competitive advantages in dynamic economic environments. …”
Get full text

Active Inference-Driven Multi-Armed Bandits: Superior Performance through Dynamic Correlation Adjustments by Lin Xiaoqi

“…In recent years, Multi-Armed Bandit (MAB) algorithms have gained substantial attention due to their effectiveness in real-world applications, such as recommendation systems, autonomous systems, and dynamic resource allocation. …”
Get full text

Improving the Solving of Optimization Problems: A Comprehensive Review of Quantum Approaches by Deborah Volpe, Giacomo Orlandi, Giovanna Turvani

“…Optimization is a crucial challenge across various domains, including finance, resource allocation, and mobility. Quantum computing has the potential to redefine the way we handle complex problems by reducing computational complexity and enhancing solution quality. …”
Get full text

A Comparative Study of XBORE and XBOREOPT Hybrid Models for Ore Production Forecasting in the Mining Industry by Morris Mkokweza, Santhi Kumaran, George Mufungulwa

“…The study explores the efficacy of hyperparameter optimization techniques in enhancing predictive accuracy, robustness, and computational efficiency, which are crucial for optimizing resource allocation and operational planning in mining contexts. …”
Get full text

The role of artificial intelligence in automating decision–making processes in project management by E. O. Lebedeva

“…It is concluded that the introduction of AI into project management should be based on a systematic approach, represented by training team members, adapting existing processes, and ensuring the transparency of algorithms. The author’s scientific contribution consists in the systematization of approaches to the use of AI in the field under study, in the proposal of a conceptual «framework» regarding the allocation of tasks and control of the stages within the framework of project management (using artificial intelligence). …”
Get full text

Dynamic Sharding and Monte Carlo for Post-Quantum Blockchain Resilience by Dahhak Hajar, Nadia Afifi, Imane Hilal

“…Unlike static sharding, dynamic sharding optimizes resource allocation in real time, increasing transaction throughput and minimizing DDoS-induced disruptions. …”
Get full text

LSTM-MM: Efficient LSTM-Based Mobility Management for Power Inspection Vehicles in Smart Grids by Xiaoyan Wang, Xianfeng Xie, Shengnan Zhao

“…The smart grid achieves efficient power management and resource allocation through various advanced technologies, among which the Internet of Vehicles communication technology is particularly important. …”
Get full text

BIM and AI Integration for Dynamic Schedule Management: A Practical Framework and Case Study by Heap-Yih Chong, Xinyi Yang, Cheng Siew Goh, Yan Luo

“…Through a case study on a large-scale water reservoir tunnel project in China, the framework demonstrated significant improvements in identifying schedule risks, optimizing resource allocation, and enabling real-time adjustments. …”
Get full text

Crop Recommendation Systems Based on Soil and Environmental Factors Using Graph Convolution Neural Network: A Systematic Literature Review by P. Ayesha Barvin, T. Sampradeepraj

“…We prioritize choosing the optimum graph-based model based on the dataset’s nature and inherent links to optimize crop management and resource allocation.…”
Get full text

Benefits of Urban Parks in Different Land Uses by Wei-Ting Chen, Sheng-Jung Ou

“…There are excessive facilities for passive activities in parks, suggesting a need for resource optimization. The results of this study help urban planners find region-specific design solutions for different land uses and effectively manage and optimize resource allocation.…”
Get full text