Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements by Siwei Li, Liying Song

“…The interrelated and complex challenges of Berth Allocation (BAP) and Quay Crane Scheduling (QCSP) are fundamental to enhancing the resilience of container ports, as berths and quay cranes constitute essential infrastructure. …”
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Optimization of external container delivery and pickup scheduling based on appointment mechanism. by Pengfei Huang, Hao Wang, Fangjiao Tan, Yuyue Jiang, Jinfen Cai

“…The algorithm effectively allocates truck tasks within each time window, thereby reducing fleet costs, improving truck turnover efficiency, mitigating port congestion, and ultimately enhancing container logistics efficiency, achieving the goals of peak shaving and valley filling.…”
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An Efficient Procedure for Inserting Buffers to Generate Robust Berth Plans in Container Terminals by Yangcan Wu, Lixin Miao

“…Instead of solving a stochastic berth allocation problem, this paper proposes an efficient procedure for inserting buffers into baseline berth plans to strengthen the schedule stability. …”
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Scalable Container-Based Time Synchronization for Smart Grid Data Center Networks by Kennedy Chinedu Okafor, Wisdom Onyema Okafor, Omowunmi Mary Longe, Ikechukwu Ignatius Ayogu, Kelvin Anoh, Bamidele Adebisi

“…The results show that CTSM achieved near-100% reliability, with the highest received energy data (29.87%), lowest packetization delay (13.11%), and highest traffic availability (70.85%). Stateless container engines improved resource allocation, reducing administrative overhead and enhancing grid stability. …”
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Optimization of the defense forces personnel under mobilization conditions: The role of occupational selection as a personnel allocator by V. V. Kalnysh, A. V. Shvets

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A multi-task genetic programming approach for online multi-objective container placement in heterogeneous cluster by Ruochen Liu, Haoyuan Lv, Ping Yang, Rongfang Wang

“…Therefore, a new multi-task genetic programming method is proposed to solve the online multi-objective container placement problem (MOCP-MTGP). This method considers selecting appropriate allocation rules according to the types of resource requests and cluster status. …”
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A Model-Based Heuristic for Packing Soft Rotated Rectangles in an Optimized Convex Container with Prohibited Zones by Oksana Melashenko, Tetyana Romanova, Igor Litvinchev, Carlos Gustavo Martínez Gomez, Rui Yang, Bingtao Sun

“…The convex container may have prohibited zones where allocation of the objects is not allowed. …”
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Containing an epidemic in the case of running out of treatment: A switched system approach by Shraddha Salwahan, Syed Abbas, Abdessamad Tridane

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Problems of digital transformation of film distribution by A. R. Akopyan, A. M. Arakelyan, Y. V. Vorontsova, V. V. Krysov

“…The second problem was highlighted by the requirement for foreign owners. …”
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Review of state-of-the-art and conceptual framework approaches in seaside port operations: berth allocation, and quay crane assignment and scheduling by Maria Boluda-Prieto, Ana Esteso, M.M.E., Angel Ortiz

“…These operations involve three key problems: berth allocation, quay crane assignment, and quay crane scheduling. …”
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RETRACTED: Tax procedural proof: problems of theory and practice by I. V. Glazunova, D. S. Sheptunov

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Problems of Providing Epidemiological Safety of Nonsterile Endoscopic Interventions by T. A. Grenkova, E. P. Selkova

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Problems with the Income Value Basis in Agricultural Lands Subject to Inheritance by Sümeyye Tuba Korkusuz

“…Although the regulation contains many new provisions, especially regarding the use of the income capitalization method to calculate the value, the adoption of this method is accompanied by many problems. …”
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Intelligence system using the concepts of representations for solving problems of goal-directed behavior by Vasiliy M. Trembach

“…A fragment of the knowledge base containing the generated concept representation is shown.The application of the considered approach will allow us to approach not only the problem solution of the formation of conceptrepresentations, but also their use for the solution of the task of a goal-oriented behavior. …”
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Distributional robustness based on Wasserstein-metric approach for humanitarian logistics problem under road disruptions by Yingying Gao, Xianghai Ding, Wuyang Yu

“…This study examines the location–allocation problem in humanitarian logistics for disaster relief supplies. …”
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Machine learning techniques and multi-objective programming to select the best suppliers and determine the orders by Asma ul Husna, Saman Hassanzadeh Amin, Ahmad Ghasempoor

“…In this study, a two-phase integrated approach is proposed for solving supplier selection and order allocation problems. Phase 1 contains four techniques from statistics and Machine Learning (ML), including Auto-Regressive Integrated Moving Average, Random Forest, Gradient Boosting Regression, and Long Short-term Memory for forecasting the demands, using large amounts of real historical data. …”
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MATHEMATICAL MODEL OF RESOURCE DISTRIBUTION OF THE COMPUTING CLUSTER OF CLOUD DATA CENTERS by V. P. Mochalov, G. I. Linets, N. Y. Bratchenko, I. S. Palkanov

“…The solution of the problem of efficient allocation of data center resources is based on an approach based on a heuristic greedy algorithm with a limited search procedure and restrictions on the resources of its hardware and software complex. …”
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Communication‐awareness adaptive resource scheduling strategy for multiple target tracking in a multiple radar system by Yang Su, Ziyang Cheng, Zishu He, Minglong Deng

“…The CARS strategy aims to maximise the tracking performance of MRS, whilst minimising the interference from MRS to communication systems (CSs), whose mechanism is to simultaneously control the revisit frame interval of each target and determine the activation of radar nodes, the radar‐target assignment and the allocation of transmitted power. Mathematically, the CARS strategy is formulated as an optimization problem, which contains both the continuous variable and the discrete (integer) variable. …”
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FEATURES OF FORMATION AND EXECUTION OF THE FEDERAL BUDGET IN THE MILITARY-INDUSTRIAL COMPLEX OF RUSSIA by Anzhela Z. Namitulina, Olga V. Kalashnikova

“…The implementation of sound financial and economic policy, improving financial support to enterprises of the military-industrial complex of the state, identifying ways to improve the financial sustainability in transformation of the market economy is an objective necessity.Conclusions and Relevance: The practical significance of the work lies in the orientation of the provisions of the conclusions and recommendations of the work on the widespread use in improving the mechanism for defense and security, and the proposals contained in the article (to improve the planning and use of funds allocated from the state budget on defense) may be used by the legislative and executive bodies the Russian Federation, including the Ministry of Defence, in the current activity.…”
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Energy Minimization for Federated Learning Based Radio Map Construction by Fahui Wu, Yunfei Gao, Lin Xiao, Dingcheng Yang, Jiangbin Lyu

“…We formulate an optimization problem by jointly considering user selection, wireless resource allocation, and UAV deployment, with the goal of minimizing the computation energy and wireless transmission energy. …”
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