Game-based resource allocation in heterogeneous downlink CR-NOMA network without subchannel sharing by Deepa Das, Rajendra Kumar Khadanga, Deepak Kumar Rout, Md. Minarul Islam, Taha Selim Ustun

“…Our approach introduces a new SU clustering method based on fuzzy logic, paired with a hierarchical learning method inspired by the well-known UCB1 algorithm to allocate power effectively to these clusters. …”
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Enhanced epilepsy detection using discrete wavelet transform and bandpass filtering on EEG data: integration of ART-based and LVQ models by Seyed Matin Malakouti

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A mathematical model for hybrid-electric propulsion system for regional propeller-driven aircraft by Giuseppe Grazioso, Mario Di Stasio, Fabrizio Nicolosi, Salvatore Trepiccione

“…Case studies validate the model’s effectiveness in meeting diverse power requirements while maintaining a consistent solution. Ultimately, this study provides innovative analytical method for early-stage exploration and optimization of complex propulsion systems, contributing to a more sustainable aviation sector.…”
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Solution Algorithms for the Capacitated Location Tree Problem with Interconnections by Nidia Mendoza-Andrade, Efrain Ruiz-y-Ruiz, Suemi Rodriguez-Romo

“…This paper addresses the Capacitated Location Tree Problem with Interconnections, a new combinatorial optimization problem with applications in network design. …”
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The Influence of Activity-Based Costing and Just-in-Time on Efficiency Cost Production with Company Size as a Moderation Variable by Fri Medistya Anke Priyono

“…In competition, an increasingly growing industry, strict efficiency cost production has become important in increasing the Power competitiveness and profitability of companies. The ABC method is used for allocate cost based on actual activity​ consume source power, while JIT focuses on reducing waste and optimization production through management proper stock​ time.  …”
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Distance Estimation with a Stereo Camera and Accuracy Determination by Arnold Zaremba, Szymon Nitkiewicz

“…These results provide valuable information on the capabilities and limitations of the measurement system used, while pointing out directions for its further optimization.…”
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Intelligent Transaction Scheduling to Enhance Concurrency in High-Contention Workloads by Shuhan Chen, Congqi Shen, Chunming Wu

“…DCoS integrates a deep reinforcement learning (DRL)-based executor to schedule high-contention transactions while preserving dependency correctness. DCoS employs a one-shot execution model that enables fine-grained scheduling in high-contention scenarios, while retaining lightweight in-partition execution under low-contention conditions. …”
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A Deep Learning Framework for Healthy Lifestyle Monitoring and Outdoor Localization by Mehrab Rafiq, Naif S. Alshammari, Haifa F. Alhasson, Dina Abdulaziz Alhammadi, Mohammed Alshehri, Ahmad Jalal, Hui Liu

“…The proposed system achieved an overall classification accuracy of 88.4% on the Extrasensory dataset and 86.4% on the Domino dataset, outperforming several existing state-of-the-art methods. These results highlight the effectiveness of the preprocessing pipeline and feature optimization techniques in enhancing recognition and localization performance. …”
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Genetic and transcriptomic analyses of early-onset colon cancer (EOCC): a post hoc analysis of 2973 patients from two adjuvant randomized trials by A. Gandini, C. Gallois, H. Blons, C. Mulot, N. Agueeff, C. Lepage, R. Guimbaud, L. Mineur, J. Desramé, B. Chibaudel, A. de Reyniès, T. André, P. Laurent-Puig, J. Taieb

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A review of state-of-the-art resolution improvement techniques in SPECT imaging by Zhibiao Cheng, Ping Chen, Jianhua Yan

“…The present review provides an overview of state-of-the-art methods for improving spatial resolution in clinical and pre-clinical SPECT systems. …”
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Calibration and establishment for the discrete element simulation parameters of pepper stem during harvest period by Jiaxuan Yang, Jin Lei, Xinyan Qin, Zhi Wang, Jianglong Zhang, Lijian Lu

“…This research presents a parameter calibration and optimization approach using both Hertz-Mindlin and Hertz-Mindlin with bonding methods. …”
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A Comprehensive Review of Voltage Source Converters-Based FACTS Controllers in Hybrid Microgrids by Maloth Hussen, Thirumalaivasan Rajaram

“…The focus is on acknowledging the development of voltage source controllers, starting from conventional control techniques to the integration of more advanced methods like optimization strategies, adaptive control, and machine learning-based approaches. …”
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Future strategies of thermal power enterprises: What new chapter will be unveiled by the joint mechanism of energy rights and renewable energy certificates? by Yan Li, Tian-tian Feng, Xiao-qi Sun, Li-li Liu, Cheng Zhong

“…This study constructs a four-party evolutionary game model incorporating prospect theory and multi-objective optimization methods to systematically investigate the combined effects of policy synergy mechanisms and market incentive designs on the development of Energy-consuming Rights Trading (ERT). …”
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Effect of Gold Nanoparticles on Luminescence Enhancement in Antibodies for TORCH Detection by Cuimei Chen, Ping Ding

“…Purposes: To explore the optimization method and application of Au-NP-enhanced luminol––H₂O₂ luminescence system in TORCH (TOX, RV, CMV, HSVI, and HSVII) detection. …”
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Fast Visibility Restoration Using a Single Degradation Image in Scattering Media by Yingbo Wang, Jie Cao, Chengqiang Xu, Saad Rizvi, Kun Li, Qun Hao

“…The proposed method uses the quadtree theory (for region segmentation) to estimate the global atmospheric light, while the transmission in the media is estimated by coefficient modification for the dark channel. …”
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Reinforcement Learning With Selective Exploration for Interference Management in mmWave Networks by Son Dinh-van, van-Linh Nguyen, Berna Bulut Cebecioglu, Antonino Masaracchia, Matthew D. Higgins

“…Additionally, our algorithms significantly outperform existing methods by 50% in terms of per-user spectral effciency and achieve 90% of the per-user spectral efficiency of the exhaustive search approach while requiring only 0.1% of its computational runtime.…”
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A hybrid approach to advanced NER techniques for AI-driven water and agricultural resource management by Dong Yan, Ming Lei, Yingying Shi

“…It includes two core components: the Adaptive Representation Neural Framework (ARNF) for multiscale semantic feature encoding, and the Adaptive Task Optimization Strategy (ATOS), which dynamically balances learning priorities to enhance multitask performance in heterogeneous and resource-constrained environments.ResultsExperimental results on several benchmark datasets demonstrate that our method significantly outperforms state-of-the-art models. …”
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A Distributional Regression Network With Data Transformation for Calibrating Rainfall Forecasts by Zeqing Huang, Andrew Schepen, James C. Bennett, David E. Robertson, Tongtiegang Zhao, Eun‐Soon Im, Quan J. Wang

“…A unified loss function is formulated based on the negative log‐likelihood function for parameter optimization. To test the role of data transformation, we conduct five calibration experiments: one that does not use transformation at all (the baseline) while the others use the log‐sinh transformation in different ways. …”
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Spatial and Temporal Variation of GPP and Its Response to Urban Environmental Changes in Beijing by Le Chen, Simin Yu, Shi Shen, You Wan, Changqing Song

“…For example, effective vegetation management methods can enhance vegetation Gross Primary Productivity, while emissions of air pollutants like O₃, CO, NO₂, and PM2.5 can suppress it. …”
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Real-time urban regional route planning model for connected vehicles based on V2X communication by Pangwei Wang, Hui Deng, Juan Zhang, Mingfang Zhang

“…Third, the predicted travel time of each alternative route is calculated, while the predicted route with the least travel time is selected as the optimal route. …”
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