A Passive Radar System for Monitoring of Coastal Areas Ship Traffic Using Satellite Illumination Signals by Nguyen Van Quan

“…During development and implementation of the systems, there are a number of problems related to the search of highly efficient processing algorithms, to the optimization of structure and functioning modes when the system is a part of a complex multi-position monitoring system in coastal areas. …”
Get full text

Association between dyslipidemia and glycated hemoglobin in diabetic patients from Zakho General Hospital, Iraq by Lina N. Adam

“…Abstract Background Diabetes mellitus (DM) is a global health challenge, requiring efficient management strategies. Monitoring biochemical markers such as lipid profiles and glycated hemoglobin (HbA1c) is critical in assessing disease progression and guiding treatment. …”
Get full text

Grid-Connected Harmonic Suppression Strategy Considering Phase-Locked Loop Phase-Locking Error Under Asymmetrical Faults by Yanjiu Zhang, Shuxin Tian

“…The significance of this research is reflected in the improved power quality of offshore wind power grid integration, the provision of technical solutions supporting efficient clean energy utilization in alignment with “Dual Carbon” objectives, and the introduction of innovative approaches to harmonic suppression in complex grid environments. …”
Get full text

Numerical Analysis of the Characteristic Chemical Timescale of a C₂H₄/O₂ Non-Premixed Rotating Detonation Engine by Mohammed Niyasdeen Nejaamtheen, Bu-Kyeng Sung, Jeong-Yeol Choi

“…Overall, the induction timescale is generally 2–3 times longer than its respective chemical reaction timescale, while the equilibrium timescale spans a broad range, reflecting the complex, rapid dynamics inherent in these chemical processes. …”
Get full text

Adaptive Congestion Detection and Traffic Control in Software-Defined Networks via Data-Driven Multi-Agent Reinforcement Learning by Kaoutar Boussaoud, Abdeslam En-Nouaary, Meryeme Ayache

“…Efficient congestion management in Software-Defined Networks (SDNs) remains a significant challenge due to dynamic traffic patterns and complex topologies. …”
Get full text

Heating Load Prediction with Meta-Heuristic ‎Algorithms and Adaptive Neuro-Fuzzy ‎Inference System Integration by Seyed Hadi Seyed Hatami, Reza Seifi Majdar

“…Heating load systems present a complex landscape where energy optimization challenges require in-depth investigation and innovative problem-solving. …”
Get full text

Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…Consequently, the SFLRNMTF approach becomes more robust in capturing data patterns and achieving high-quality clustering results in complex datasets. We also propose an efficient alternating iterative update algorithm to optimize the proposed model and provide a theoretical analysis of its performance. …”
Get full text

ForestAlign: Automatic forest structure-based alignment for multi-view TLS and ALS point clouds by Juan Castorena, L. Turin Dickman, Adam J. Killebrew, James R. Gattiker, Rod Linn, E. Louise Loudermilk

“…However, effective integration of these LiDAR sources relies heavily on efficient multi-scale, multi-view co-registration or point-cloud alignment methods. …”
Get full text

Experimental Optimization of the Energy Characteristics of a Ground Penetrating Radar with Continuous Linear-Frequency-Modulated Radiation by I. Yu. Malevich, A. S. Lopatchenko

“…The key prerequisites for the creation of such systems are the complex consideration of the operating conditions of the radio channel in the near field, including the features associated with multichannel leakage of the probing signal components into the reception path, the presence of multipath reflections from the covering surface, the variable speed of the electromagnetic wave, and the provision of linear processing of a continuous group broadband radio signal with large dynamic range. …”
Get full text

A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting by Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park, Kihyeon Kwon

“…The primary objective is to enhance the efficiency and reliability of the renewable energy system through predictive modeling and advanced fault detection techniques. …”
Get full text

Enhancing biometric identification using 12-lead ECG signals and graph convolutional networks by Maram Al Alfi, Pedro Peris-Lopez, Carmen Camara

“…This index is used to construct a graph representation, where nodes correspond to ECG features and edges reflect their relationships based on MI values. The GCN model is trained on this graph, enabling it to learn complex patterns for user identification efficiently.ResultsExperimental results demonstrate that the proposed GCN-MI model achieves 100% accuracy with a 5-layer architecture at a k-fold of 75, outperforming conventional approaches that require less training data.DiscussionThis work introduces several innovations: the integration of MI indices enhances feature selection, improving model robustness and efficiency; the graph-based learning framework effectively captures both spatial and statistical relationships within ECG data, leading to higher classification accuracy; the proposed approach offers a scalable and real-time biometric authentication system suitable for applications in finance, healthcare, and personal device access. …”
Get full text

Exploring the Determinants of Operational Performance in the Water Supply Sector: A PCA Analysis of Networks, Meters, Raw Water and Operating Costs by Octavia Moise, George Banghiore, Mari-Isabella Stan

“…The water sector is essential for sustainable development, but faces complex challenges arising from climate change, accelerated urbanization, and increasingly stringent economic and environmental demands. …”
Get full text

Quality balanced scorecard for the outpatient clinic by O. A. Latukha, I. M. Son, Yu. I. Bravve, A. V. Kalinichenko, E. A. Pushkareva, K. S. Tolstova

“…Patients were interviewed and quality criteria important for the patients' parents were determined. The complexity, multi-stage nature and short time frame for providing medical services determined the criteria for the economic efficiency. …”
Get full text

GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions by Haixiong Ye, Wei Wang, Xiliang Zhang

“…In complex marine environments, intelligent vessels require a high level of dynamic perception to process multiple types of information for mitigating collision risks. …”
Get full text

Analytical Pricing of Commodity Futures with Correlated Jumps and Seasonal Effects: An Empirical Study of Thailand’s Natural Rubber Market by Athinan Sutchada, Sanae Rujivan, Boualem Djehiche

“…This solution is validated against Monte Carlo simulations, demonstrating high accuracy and computational efficiency. The model is empirically applied to historical futures prices of natural rubber from the Thailand Futures Exchange. …”
Get full text

Metadisciplinary strategy in students’ ecological competence forming by Elena N. Chekanushkina, Elena N. Ryabinova

“…The formation and development of students’ environmental competence is also significant as it is a metadisciplinary concept and suggests acquiring common educational activities aimed at mastering the basic educational programs, realizing the internal potential and producing an educational result for solving complex professional problems, increasing efficiency own professional activity and importance for others. …”
Get full text

Developing a multidimensional scale for presenteeism: A study on measurement and implications by S. Mumlu-Karanfil, A. Doğan, S. Bozkurt

“…The paper’s primary purpose is to develop a comprehensive measurement tool suitable for the individual and organizational multi-factor structure of presenteeism that accurately reflects the complex nature of today’s business world. …”
Get full text

Strategizing AI in Healthcare: A Multidimensional Blueprint for Transformative Decision-Making in Clinical Settings by Simon Martina, Kamin Stefan, Hamper Andreas, Wittenberg Thomas, Schmitt-Rüth Stephanie

“…This multidimensional system offers a blueprint for healthcare entities to strategically navigate the AI landscape, enabling them to make informed decisions about technology adoption and change management processes, ultimately leading to improved patient care and operational efficiency.…”
Get full text

The Level of Cybersecurity of the BRICS Member Countries in International Ratings: Prospects for Cooperation by O. Ovchinnikova, N. K. Upadhyay

“…Based on the ITU rating, we assess the cybersecurity efficiency of the BRICS member countries versus other countries. …”
Get full text

Assessing the e-commerce last-mile logistics’ hidden risk hurdles by Rohit Raj, Arpit Singh, Vimal Kumar, Tanmoy De, Shalini Singh

“…Due to increasing last-mile logistics complexity, the e-commerce business's last-mile delivery has emerged as an imperative issue that impedes the advancement of contemporary last-mile logistics practices. …”
Get full text