Dynamic Optimization of Tunnel Construction Scheduling in a Reverse Construction Scenario by Jianying Wei, Yuming Liu, Xiaochun Lu, Rong Zhao, Gan Wang

“…The Mixed-Integer Programming (MIP) approach is used to build the mathematical model, solved with both exact algorithms and Genetic Algorithms (GA), and implemented in Python 3.12.7. …”
Get full text

A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model for Infrastructure as a Service (IaaS) Cloud Environment by Farheen Bano, Faisal Ahmad, Mohammad Shahid, Mahfooz Alam, Faraz Hasan, Mohammad Sajid

Get full text

Joint power and bandwidth allocation for beam-hopping user downlinks in smart gateway multibeam satellite systems by Shengchao Shi, Guangxia Li, Zhiqiang Li, Hongpeng Zhu, Bin Gao

“…To improve the efficiency of on-board resources utilization, two joint power and bandwidth allocation schemes are proposed to optimize power and timeslot allocation for beam-hopping user downlinks of the smart gateway system. …”
Get full text

A refined Greylag Goose optimization method for effective IoT service allocation in edge computing systems by Hossein Najafi Khosrowshahi, Hadi S. Aghdasi, Pedram Salehpour

Get full text

SFP selection algorithm for SFC by Yongqing ZHU, Xia GONG, Huanan CHEN

“…In order to achieve the new business deployment model by the convergence of cloud and network,SFC technology has been promoted greatly.As one of the key technologies in SFC,the SFP selection strategy affects the network performance and business experience directly.Aiming at the single target defect existing in business path se-lection strategy,the minimum weight algorithm based on the network delay and load was proposed and simulated.It could optimize the resources allocation and improve the network performance.A technical reference was provided for the operators to deploy the network and resources in the future.…”
Get full text

A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

“…Our research in Mahanadi River Basin, Odisha, presents an enhanced methodology based on data, specifically designed to be beneficial for Water Quality (WQ) based on Synthetic Pollution Index (SPI) and machine learning models such as Long Short-Term Memory (LSTM) and Sparrow Search Algorithm (SSA), for its analysis and interpretation of extensive, intricate data sets on water quality, as well as the allocation of pollution sources or contributing elements, in order to improve knowledge of the water quality and the planning of monitoring networks for efficient water resource management. …”
Get full text

Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India by Anandan P, Siow Chun Lim, Anbuselvan N

“…To address these challenges, the study employs meta-heuristic optimization algorithms and optimizes forecasting around sustainable energy systems to achieve desired output. …”
Get full text

A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems by Hamed Shams, Naghi Rostami, Behnam Mohammadi Ivatloo

“…Abstract The growth of renewable sources and electric vehicles’ (EVs) load demand and associated uncertainties can stress the reliable network performance, such as uncertainty in both production and load sides, and power loss augmentation. …”
Get full text

Slot Allocation Protocol for UAV Swarm Ad Hoc Networks: A Distributed Coalition Formation Game Approach by Liubin Song, Daoxing Guo

“…In this paper, we propose a distributed time coalition formation game algorithm that ensures the absence of internal interference and collisions while sharing time slot resources, thereby enhancing the network’s throughput performance. …”
Get full text

RWP-NSGA II: Reinforcement Weighted Probabilistic NSGA II for Workload Allocation in Fog and Internet of Things Environment by Hafsa Raissouli, Samir Brahim Belhaouari, Ahmad Alauddin Bin Ariffin

“…This workload is then allocated to the fog nodes. The distribution of workload between IoT devices and fog nodes should account for the constrained energy resources of the IoT device, while still prioritizing the primary objective of fog computing, which is to minimize delay. …”
Get full text

Dynamic UAV Task Allocation and Path Planning with Energy Management Using Adaptive PSO in Rolling Horizon Framework by Zhen Han, Weian Guo

“…Unmanned aerial vehicles (UAVs) are increasingly deployed in dynamic environments for applications such as surveillance, delivery, and data collection, where efficient task allocation and path planning are critical to minimizing mission completion time while managing limited energy resources. …”
Get full text

Facility location problem for senior centers in an upcoming super-aging society by Eun Hak Lee, Jonghwa Jeong

“…The elbow method is employed to identify the optimal number of new centers, balancing service accessibility and resource allocation. Open data sources, i.e., floating population and geographic information in Seoul, are used to estimate demand at various locations. …”
Get full text

Runtime Scheduling, Allocation, and Execution of Real-Time Hardware Tasks onto Xilinx FPGAs Subject to Fault Occurrence by Xabier Iturbe, Khaled Benkrid, Chuan Hong, Ali Ebrahim, Tughrul Arslan, Imanol Martinez

“…Computation-specific pieces of circuitry are dynamically scheduled and allocated to different resources on the chip based on a set of novel algorithms which are described in detail in this article. …”
Get full text

Channel and Power Allocation for Multi-Cell NOMA Using Multi-Agent Deep Reinforcement Learning and Unsupervised Learning by Ming Sun, Yihe Zhong, Xiaoou He, Jie Zhang

“…Nevertheless, it is challenging to find the near-optimal allocation of the channel and power resources to maximize the performance of the multi-cell NOMA system. …”
Get full text

Opportunities of machine learning algorithms for education by Olga Ovtšarenko

“…The results of the study show that machine learning algorithms can be used to process the available e-course log data, using the clickstream of e-course resources and for their automated processing. …”
Get full text

Power allocation satisfying user fairness for integrated sensing and communication system based on orthogonal time frequency space modulation by Ke XU, Luping XIANG, Jie HU, Kun YANG

“…By sharing resources for radar sensing and communications, integrated sensing and communication (ISAC) has promising applications in diverse scenarios, such as human-machine interface, vehicle-to-everything (V2X), remote sensing, and environment surveillance.In order to resolve the frequency resource conflict in high-speed V2X networks, based on the modulation orthogonal time frequency (OTFS), the OTFS-ISAC system was proposed, where the base station receives reflected echoes to obtain sensing parameters of vehicle motion and then establish the vehicle’s mobile topology.Additionally, in terms of the multi-vehicle network, the design of OTFS-ISAC with NOMAsatisfying the fairness and the algorithm of power allocation were proposed.Simulations show that compared with the NOMA without radar sensing system, the proposed design improves the system data rate by 25%.…”
Get full text

A method to manage the energy consumption of cloud centers for predictability in neuro-fuzzy networks by Ying Zhang

“…The proposed model leverages neuro-fuzzy networks for accurate workload predictions to achieve efficient real-time resource allocation and VM migration strategies that minimize energy waste. …”
Get full text

CONCEPT OF FINANCIAL FLOW MANAGEMENT OF ENTERPRISE CORPORATE SECURITY SYSTEM by Olena Sergienko, Nataliia Volosnikova, Natalia Reshetniak, Maryna Mashchenko, Valeria Baranova

“…Material flow management optimization as a key aspect of logistics activities is considered, which is achieved by attracting and allocating financial resources and realized in the financial flows of integrated logistics processes at enterprises. …”
Get full text

A Hierarchical Control Framework for Coordinating CAV-Dedicated Lane Allocation and Signal Timing at Isolated Intersections in Mixed Traffic Environments by Feng Chen, Cunbao Zhang, Yu Cao

“…The framework employs two collaborative agents based on the dueling double deep Q-network (D3QN) algorithm. The upper-level agent recommends optimal CAV-DLs configurations based on long-term traffic flow patterns, while the lower-level agent focuses on real-time signal control by adjusting signal parameters and green time allocations in response to current traffic demand. …”
Get full text

Next-Gen Internet of Drones: Federated Learning and Digital Twin Synergy for Energy-Efficient Task Allocation and Seamless Service Migration by Ahmad Arsalan, Tariq Umer, Rana Asif Rehman, Byung-Seo Kim

Get full text