Classification of start-ups’ digital marketing adoption experiences: an investigation of characteristics and interactions by Dina El-Shihy, Noha Hassan

“…Data were collected on the usage of digital marketing tools, level of utilization, duration of adoption, resource allocation, and budget. A nonparametric decision tree algorithm, visualized using R, was employed for data analysis. …”
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Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

“…Secondly, to improve the performance of the smart classroom system, convex optimization theory was utilized to optimize the allocation of system resources. Finally, through verification, the multiple resources joint optimization method of the smart classroom system can effectively reduce the maximum delay of device data collection and processing, greatly improve the real-time performance of emotional computing in the smart classroom system, and avoid blindly pursuing the minimum average delay, effectively avoiding the situation where a single user experienced poorly due to poor real-time performance. …”
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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. …”
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Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases by Brian K. Masinde, Caroline M. Gevaert, Michael H. Nagenborg, Marc J. C. van den Homberg, Jacopo Margutti, Inez Gortzak, Jaap A. Zevenbergen

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QUIRCY: QUantum Integrated ResilienCY for Power Systems by Umar T. Salman, Zongjie Wang, Timothy M. Hansen

“…This paper introduces quantum integrated resiliency for power systems (QUIRCY), a new resilience approach aimed at optimizing resource allocation in power systems. The proposed framework integrates a two-level quantum algorithm that combines the Harrow-Hassidim-Lloyd (HHL) algorithm for highly efficient quantum power flow analysis with quadratic unconstrained binary optimization (QUBO) to strategically allocate distributed energy resources (DERs). …”
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SOE: A Multi-Objective Traffic Scheduling Engine for DDoS Mitigation with Isolation-Aware Optimization by Mingwei Zhou, Xian Mu, Yanyan Liang

“…When interception fails, effectively allocating mixed benign and malicious traffic under resource constraints becomes a critical challenge. …”
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Artificial intelligence in triage of COVID-19 patients by Yuri Oliveira, Iêda Rios, Paula Araújo, Alinne Macambira, Marcos Guimarães, Lúcia Sales, Marcos Rosa Júnior, André Nicola, Mauro Nakayama, Hermeto Paschoalick, Francisco Nascimento, Carlos Castillo-Salgado, Vania Moraes Ferreira, Hervaldo Carvalho

“…Systems capable of predicting individuals at higher risk of progressing to severe forms of the disease could optimize the allocation and direction of resources. In this work, we evaluated the performance of different Machine Learning algorithms when predicting clinical outcomes of patients hospitalized with COVID-19, using clinical data from hospital admission alone. …”
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Information Content Assessment of the Federal Budget and the Budget Process in the Russian Federation by O. V. Morozov, M. A. Vasiliev

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Task scheduling strategy for cloud-fog computing system of IoV based on improved quantum genetics and QoS awareness method by ZHANG Fuqi, JIANG Huilin, LIU Fu, HOU Tao, LIU Yujia, GUAN Yueqi, MU Xingtong

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A Novel Transformer-Based Approach for Reliability Evaluation of Composite Systems With Renewables and Plug-in Hybrid Electric Vehicles by Chiranjeevi Yarramsetty, Tukaram Moger, Debashisha Jena, Veeranki Srinivasa Rao

“…To address these issues, this research presents an advanced mixed-integer linear programming (MILP)-based algorithm for optimizing EV charging. The algorithm prioritizes clean energy utilization through intelligent power allocation strategies while considering cost-revenue trade-offs. …”
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A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics by Junfu Wen, Fei Wang, Yebo Su

“…The novelty of this work lies in the seamless integration of an enhanced genetic algorithm and tailored swarm optimization within a unified two-tier architecture. …”
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Supply Chains Problem During Crises: A Data-Driven Approach by Farima Salamian, Amirmohammad Paksaz, Behrooz Khalil Loo, Mobina Mousapour Mamoudan, Mohammad Aghsami, Amir Aghsami

“…Results demonstrate significant improvements in cost reduction, resource allocation, and service levels, highlighting the model’s practical applicability in real-world scenarios. …”
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Novel Application of Quantum Computing for Routing and Spectrum Assignment in Flexi-Grid Optical Networks by Oumayma Bouchmal, Bruno Cimoli, Ripalta Stabile, Juan Jose Vegas Olmos, Carlos Hernandez, Ricardo Martinez, Ramon Casellas, Idelfonso Tafur Monroy

“…In this small network, the algorithm successfully converged to an optimal solution in less than 30 iterations, with a total runtime of approximately 10.7 s with an accuracy of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>78.8</mn><mo>%</mo></mrow></semantics></math></inline-formula>. …”
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Deep Reinforcement Learning-Based Dynamic Scheduling for Real-Time Applications in LTE and RAN Slicing for eMBB in 5G by Houssem Eddine Benmadani, Mohamed Azni, Turki Essa Alharbi, Mohammed S. Alzaidi, Mohamed Tounsi

“…Classic resource allocation methods cannot cope with the dynamics of the changing network environment; hence, there is an increasing need for faster and smarter resource allocation schemes. …”
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Natural gas logistics management using multi-criteria optimisation methods by Sergey N. Lanin

“…The study demonstrates that the proposed approach can significantly reduce transaction costs and increase revenue through more efficient management of transport and resource allocation. The paper emphasises the importance of adaptability and flexibility of the logistics system in a dynamically changing external environment. …”
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The coupled model of water delivery and distribution regulation for single-canal pool systems by Ke Zhou, Yu Fan, Zhanyi Gao, Haorui Chen, Xinrong Zheng, Yun Yang, Jie Liu

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Mental Workload Detection and Assessment Through Statistical Features Extraction and Optimization Using GEL-RF Method for EEG Signals Using N-Back Dataset by Waleed Manzoor, Noman Naseer, Imran Fareed Nizami, Syed Hammad Nazeer, Husam A. Neamah

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Optimizing group utility in itinerary planning: a strategic and crowd-aware approach by Junhua Liu, Aldy Gunawan, Kristin L. Wood, Kwan Hui Lim

“…SCAIR models itinerary recommendation as a Markov Decision Process (MDP) and incorporates a novel State Encoding mechanism that facilitates real-time, efficient itinerary planning and resource allocation in linear time. By prioritizing group outcomes over individual preferences, SCAIR explicitly mitigates the adverse effects of selfish routing. …”
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Multi-Project Staff Scheduling Optimization Considering Employee Welfare in Construction Projects by Junlong Peng, Fei Zhou

“…A mixed-integer programming model is proposed, integrating task allocation, resource scheduling, income growth, and workload balance as core optimization objectives. …”
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Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices by Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu

“…Abstract Accurate locational marginal price forecasting (LMPF) is crucial for the efficient allocation of resources. Nevertheless, the sudden changes in LMP make it inadequate for many existing long short‐term memory (LSTM) network‐based prediction models to achieve the required accuracy for practical applications. …”
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