Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

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On the Design of Super Constellations by Thrassos K. Oikonomou, Dimitrios Tyrovolas, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Panagiotis Sarigiannidis, George K. Karagiannidis

“…By utilizing the decision regions formulated by GPD-D, a tight closed-form approximation for the symbol error probability (SEP) of SAPSK constellations is derived, while a detection algorithm with <inline-formula> <tex-math notation="LaTeX">$\mathcal {O}(1)$ </tex-math></inline-formula> time complexity is developed to ensure fast and efficient SAPSK symbol detection. …”
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Towards precision agriculture: metaheuristic model compression for enhanced pest recognition by Sana Parez, Norah Saleh Alghamdi, Tahir Mahmood, Waseem Ullah, Muhammad Attique Khan, Taha Houda, Naqqash Dilshad

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Electrochemical Microneedles for Real-Time Monitoring in Interstitial Fluid: Emerging Technologies and Future Directions by Suhyeon Cha, Min Yu Choi, Min Jung Kim, Sang Baek Sim, Izzati Haizan, Jin-Ha Choi

“…Conventional blood-based detection methods for biomarkers and analytes face significant limitations, including complex processing, variability in blood components, and the inability to provide continuous monitoring. …”
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Inversion and Validation of Ocean Surface Bio-optical Parameters Using Multiplatform Ocean LiDAR by Fan YANG, Hongwei ZHANG, Ziwang LI, Peizhi ZHU, Fanqian MENG, Junwu TANG, Bingyi LIU, Songhua WU

“…This result provides an effective method for improving the reliability of profile inversion of bio-optical parameters in complex waters and performing error analysis.…”
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MalGEA: A malware analysis framework via matrix factorization based node embedding and graph external attention by Ruisheng Li, Qilong Zhang, Huimin Shen

“…Experimental results demonstrate that our method significantly outperforms existing node embedding approaches in terms of computational efficiency, while also achieving high accuracy in malware detection and family classification tasks.…”
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Robust development of data-driven models for methane and hydrogen mixture solubility in brine by Kashif Saleem, Abhinav Kumar, K. D. V. Prasad, Ahmad Alkhayyat, T. Ramachandran, Protyay Dey, Navdeep Kaur, R. Sivaranjani, I. B. Sapaev, Mehrdad Mottaghi

“…These models attain the greatest determination coefficient (R2) and the lowest error metrics (MSE and AARE%), underscoring their remarkable capability to identify complex patterns and provide accurate predictions for estimating hydrogen/methane solubility in brine. …”
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Assessment of the visual aesthetic quality of the urban landscape in the Tabriz metropolis by Sonia Sarafraz Asbagh, Hassan Mahmoudzadeh, Asa Ode Sang

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Steel Wire Rope Damage Width Identification Method Based on Residual Networks and Multi-Channel Feature Fusion by Yan Peng, Junde Liu, Junjie He, Yongjun Qiu, Xie Liu, Le Chen, Fengfeng Yang, Bulong Chen, Bin Tang, Yuhan Wang

“…In order to ensure the safety of steel wire rope in various application scenarios, it is particularly important to quantitatively detect the defects of wire rope. Complex detection conditions affect the detection efficiency of wire rope. …”
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Intelligent identification of Cenozoic spore and pollen fossils in Bohai Sea area by Leilei SHUI, Kunqi QIU, Huan WAN, Shengli GONG, Wenkai LU, Wenyan WEI, Yonghao WANG, Yongzhao YU

“…By utilizing techniques such as deep learning for object detection and label smoothing, the efficiency of fossil screening and spore and pollen fossil classification was significantly enhanced. …”
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Multi-Source, Fault-Tolerant, and Robust Navigation Method for Tightly Coupled GNSS/5G/IMU System by Zhongliang Deng, Zhichao Zhang, Zhenke Ding, Bingxun Liu

“…However, frequent multi-sensor faults, including missing alarm thresholds, uncontrolled error accumulation, and delayed warnings, hinder the adaptability of navigation systems to the dynamic multi-source information of complex scenarios. This study introduces an advanced, tightly coupled GNSS/5G/IMU integration framework designed for distributed PNT systems, providing all-source fault detection with weighted, robust adaptive filtering. …”
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Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-... by Daoqi Han, Honghui Li, Xueliang Fu

“…However, traditional intrusion detection methods encounter several issues such as low detection efficiency and prolonged detection time when dealing with massive and high-dimensional data. …”
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CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

“…In this paper, we introduce CAFiKS (Communication-Aware Federated Intrusion Detection System with Knowledge Sharing), a novel FL method designed to address the challenges of data heterogeneity, model complexity, and convergence rates. …”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…To address the challenges in multi-robot collaborative SLAM, including excessive redundant computations and low processing efficiency in candidate loop closure selection during front-end loop detection, as well as high computational complexity and long iteration times due to global pose optimization in the back-end, this paper introduces several key improvements. …”
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Models, systems, networks in economics, engineering, nature and society by V.V. Khryashchev, A.L. Priorov, N.V. Kotov, K.I. Malygin

“…The considered algorithms will serve as the basis for developing a hardware and software complex with an algorithmic module for detecting pathologies in colonoscopic images. …”

A comparative study evaluating three line immunoassays available for serodiagnosis of equine Lyme borreliosis: Detection of Borrelia burgdorferi sensu lato-specific antibodies in s... by Cornelia V Broeckl, Stephanie Hiereth, Reinhard K Straubinger

“…Agreements of the diagnostic results among the LIAs were calculated for overall test results and single antigen-antibody-complex signal results. They are presented as inter-rater agreement and statistic reliability, represented by the Fleiss' kappa coefficient. …”
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A robust deep learning framework for multiclass skin cancer classification by Burhanettin Ozdemir, Ishak Pacal

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Thermo-Optic Nanomaterial Fiber Hydrogen Sensor by Xuhui Zhang, Liang Guo, Xinran Wei, Qiang Liu, Yuzhang Liang, Junsheng Wang, Wei Peng

“…However, the widespread use of hydrogen is also accompanied by safety hazards, and how to detect hydrogen safely and efficiently has become a research focus. …”
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EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning, and Explainable AI by Md. Ehsanul Haque, Mahe Zabin, Jia Uddin

“…As electric vehicles (EVs) are growing, the fault diagnosis in their drive motor becomes more important to have optimal performance and safety. Traditional fault detection methods suffer mainly from high false positive and false negative rates, computational complexity, and lack of transparency in decision-making methods. …”
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Exploring the Impact of Image-Based Audio Representations in Classification Tasks Using Vision Transformers and Explainable AI Techniques by Sari Masri, Ahmad Hasasneh, Mohammad Tami, Chakib Tadj

“…We used our vision transformer (ViT) model, which is less complex but more effective than the proposed audio spectrogram transformer (AST). …”
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