Multi-period supply chain optimization with contango and backwardation effects using an improved hybrid genetic algorithm by Mudassar Rauf, Muhammad Imran, Jabir Mumtaz, Saima Javed, Ayesha Saeed

“…The results highlight optimal supplier selection and order allocations for each period, and performance comparisons reveal that the IHGA outperforms traditional algorithms in terms of cost efficiency, computational time, and convergence behavior.…”
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FBG-Based Weak Coherent State and Entanglement-Assisted Multidimensional QKD by Ivan B. Djordjevic

“…The proposed FBG-based protocols are capable of simultaneously achieving unprecedented spectral efficiency and secret-key rates in long-distance quantum communication. …”
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Transfer Reinforcement Learning-Based Power Control for Anti-Jamming in Underwater Acoustic Communication Networks by Liejun Yang, Yi Chen, Hui Wang

“…Simulation results demonstrated that the proposed method significantly enhanced the anti-jamming performance and communication efficiency of underwater acoustic communication even in complex interference scenarios.…”
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Agricultural plant jiaosu: valorization of organic wastes for sustainable agriculture by Yumeng Wang, Jianxun Li, Xin Li, Shankai Wu, Wenjun Song, Ping Li

“…However, further investigation and study are necessary due to the complex composition of APJ.…”
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Leveraging machine learning to proactively identify phishing campaigns before they strike by Kun Zhang, Haifeng Wang, Meiyi Chen, Xianglin Chen, Long Liu, Qiang Geng, Yu Zhou

“…These algorithms were chosen for their strong global search capabilities and adaptability to complex datasets, ensuring optimal parameter selection for improved model performance. …”
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Achievements and prospects of applying high-throughput sequencing techniques to potato genetics and breeding by I. V. Bykova, N. A. Shmakov, D. A. Afonnikov, A. V. Kochetov, E. K. Khlestkina

“…In recent years, marker-assisted selection (MAS) has been intensively used to increase potato breeding efficiency. …”
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ECONOMIC AND MANAGEMENT ISSUES CONCERNING ARCHAEOLOGICAL SITES: COST ANALYSIS, STUDY OF TOURIST FLOWS AND SUSTAINABILITY PERSPECTIVES FOR THE ARCHAEOLOGICAL PARK OF POMPEII by Gabriel Zuchtriegel, Luigi Petti, Antonio Nesticò, Gabriella Maselli, Vincenzo Calvanese, Anna Onesti, Arianna Spinosa

“…The efficient allocation of the resources available to an archaeological park is particularly important in relation to excavation, restoration and conservation activities. …”
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Density estimation via binless multidimensional integration by Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo

“…We introduce the binless multidimensional thermodynamic integration (BMTI) method for nonparametric, robust, and data-efficient density estimation. BMTI estimates the logarithm of the density by initially computing log-density differences between neighbouring data points. …”
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Hybrid Optimization Method for Social Internet of Things Service Provision Based on Community Detection by Bahar Allakaram Tawfeeq, Amir Masoud Rahmani, Abbas Koochari, Nima Jafari Navimipour

“…The average response time of IGBSA‐CD presents that it is efficient in all three tasks is 0.04 s. It also has a consistently lower response time, even when the task is complex. …”
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Papillary thyroid carcinoma whole-slide images as a basis for deep learning by M. V. Fridman, A. A. Kosareva, E. V. Snezhko, P. V. Kamlach, V. A. Kovalev

“…To choose the optimal representative size of the fragment the problem of classification was solved using the pre-study neural network EfficientNetB0.Results. A methodology for preparing a database of histopathological images of papillary thyroid cancer was proposed. …”
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Comparative Analysis of ARIMA, Prophet, and Glmnet for Long Term Evolution (LTE) Base Station Traffic Forecasting by Tutun Juhana, Hajiar Yuliana, . Hendrawan, . Iskandar, Yasuo Musashi

“…The findings reveal that Glmnet consistently outperforms ARIMA and Prophet across all categories of traffic forecasting on the selected performance metrics. Its ability to handle complex data structures, manage multicollinearity, and deliver robust and accurate predictions makes it the preferred choice for forecasting cellular network traffic in the telecommunications domain.   …”
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TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification by Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo

“…By combining symbolic algorithms with graph-based models, this hybrid approach offers a more interpretable, efficient, and high-performing solution for complex NLP tasks.…”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…The proposed approach achieves high-quality and efficient target allocation, jamming mode selection, and power control. …”
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Detect+Track: robust and flexible software tools for improved tracking and behavioural analysis of fish by Abhishek Dutta, Natalia Pérez-Campanero, Graham K. Taylor, Andrew Zisserman, Cait Newport

“…The modular workflow is adaptable to new experimental designs, supports manual correction and retraining for new object classes and allows efficient large-scale batch processing. By addressing key limitations of existing tracking tools, Detect+Track provides a flexible and generalizable solution for researchers studying movement and decision-making in complex environments. …”
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Advancing Credit Rating Prediction: The Role of Machine Learning in Corporate Credit Rating Assessment by Nazário Augusto de Oliveira, Leonardo Fernando Cruz Basso

“…The study evaluated multiple ML models, including Logistic Regression, Support Vector Machines, Decision Trees, Random Forest, Gradient Boosting (GB), and Neural Networks, using rigorous data pre-processing, feature selection, and validation techniques. Results indicate that Artificial Neural Networks (ANN) and GB consistently outperform traditional models, particularly in capturing non-linear relationships and complex interactions among predictive factors. …”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…The main aim of our work was to develop an efficient scheme of automatic counting cell nuclei based on advanced image processing methods: directional filtering, adaptive image binarization and mathematical morphology. …”
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MG6D: A Deep Fusion Approach for 6D Pose Estimation With Mamba and Graph Convolution Network by Jiaqi Zhu, Bin Li, Xinhua Zhao

“…Accurate and efficient 6D pose estimation is a fundamental technology in many industrial applications. …”
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A systematic review of factors influencing green public procurement in higher education institutions by Santosh Bhandari, Myriam Lopes, Sara Moreno Pires

“…Influencing factors related to the organization were the most complex. Furthermore, HEIs should prioritize GPP-related knowledge. …”
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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The proposed method ultimately provides a computationally efficient and robust intelligent monitoring solution for agricultural mechanization, facilitating the transition from conventional agricultural practices toward sustainable, low-carbon production paradigms through algorithmic optimization.…”
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Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms by Faten Aljalaud, Yousef Alohali

“…These findings establish a novel and impactful benchmark for comparing global and local optimization strategies in multi-UAV tasks, offering researchers and practitioners critical insights for selecting efficient and sustainable approaches to UAV operations in complex inspection environments.…”
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