Dense Neural Network Classification Model for Software Defined Network for Fine Grained Traffic Routing and Flow Analysis by Dr. Khaliq Ahmed, Maheen Danish, Asif Raza

“…The DDNN model handles diverse types of traffic with a lot of efficiency through extracting deep features from complex datasets, hence increasing the capability of SDN to meet the ever-evolving demands in networks. …”
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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. …”
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Addressing data scarcity in speech emotion recognition: A comprehensive review by Samuel Kakuba, Dong Seog Han

“…These signals encode complex relationships between features at multiple time scales, effectively reflecting a speaker’s emotional state. …”
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Impact of wind shear on aerosol–cloud interactions and convective precipitation by Mathis Tonn, Christian Barthlott, Michael Kunz, Corinna Hoose

“…However, this is not necessarily reflected in the amount of precipitation, which shows no systematic dependency on the wind shear for the days analyzed. …”
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Wayfinding in historical urban landscapes: unraveling the spatial-behavioral dynamics in Eskisehir’s Odunpazari by Elif Celik, Ozge Ceylin Yildirim

“…Notably, all participants show a reliance on landmarks, with visibility and spatial complexity impacting navigation efficiency across groups. …”
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Application of Ultra Wideband Signal with High Repetition Rate in Forward Scatter Multi-Static Radar System by E. A. Kolokoltsev, A. V. Myakinkov

“…The existing methods of ground target detection cannot simultaneously provide high efficiency in conditions of clutter and required resolution. …”
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Influence of System Parameters on Nonlinear Dynamic Characteristics of the Herringbone Gear Transmission Under Different Coincidence Degrees by Wang Ji, Li Zhibin, Wang Sanmin, Wang Chunling

“…The analysis of the influence of system parameters on system vibration characteristics under different coincidence degrees is of great significance for optimizing the transmission system performance, improving work efficiency and reducing fault risk. Combining meshing performance and dynamic characteristics of gear teeth, firstly, stiffness excitation and meshing impact excitation of the herringbone gear system are determined, and the lumped parameter method is used to establish the nonlinear dynamic model of the bending-torsion-shaft coupling of herringbone gear pairs under complex excitation source. …”
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Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery by Changning Sun, Yonggang Ma, Heng Pan, Qingxue Wang, Jiali Guo, Na Li, Hong Ran

“…Nonetheless, higher scene complexity and image entropy reduce the applicability of precise FVC extraction methods. …”
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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. …”
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PAB-Mamba-YOLO: VSSM assists in YOLO for aggressive behavior detection among weaned piglets by Xue Xia, Ning Zhang, Zhibin Guan, Xin Chai, Shixin Ma, Xiujuan Chai, Tan Sun

“…The model achieved a detection speed FPS of 69 f/s, with model complexity measured by 7.2 G floating-point operations (GFLOPs) and parameters (Params) of 2.63 million. …”
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Internal audit in customs administrations by G. V. Glazkova

“…The article reflects the author’s attempt to combine the possibilities of using digital technologies that increase the efficiency of the provision of this type of the service and create an effective management system within the customs service.…”
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UAV Path Planning: A Dual-Population Cooperative Honey Badger Algorithm for Staged Fusion of Multiple Differential Evolutionary Strategies by Xiaojie Tang, Chengfen Jia, Zhengyang He

“…To address the challenges of low optimization efficiency and premature convergence in existing algorithms for unmanned aerial vehicle (UAV) 3D path planning under complex operational constraints, this study proposes an enhanced honey badger algorithm (LRMHBA). …”
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Designing a Business Model in the Tourism Industry of Iran by Amirhossein Samadian, Saeid Ehdaie, kamyar Raissifar

“…Abstract The competitive environment of business is becoming more complex day by day and every business needs basic methods in creating, presenting and acquiring value in order to continue its activity, growth and development in this field. …”
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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. …”
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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 paper presents a novel multivariate mean-reverting jump-diffusion model that incorporates correlated jumps and seasonal effects to capture the complex dynamics of commodity prices. The model also accounts for the interplay between price volatility and convenience yield, offering a comprehensive framework for commodity futures pricing. …”
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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. …”
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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. …”
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Prediction of Enthalpy of Mixing of Binary Alloys Based on Machine Learning and CALPHAD Assessments by Shuangying Huang, Guangyu Wang, Zhanmin Cao

“…The enthalpy of mixing, a critical thermodynamic property in the liquid phase reflecting element interaction strength and pivotal for studying phase equilibria, can now be predicted efficiently using machine learning. …”
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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

“…By creating a comprehensive categorization system, we attempt to navigate the complex array of possible AI applications within the field of healthcare, hence enabling the identification, selection, and advancement of AIdriven initiatives. …”
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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. …”
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