Efficiency validation for application of medical and psychological rehabilitation and digitalpsychophysiological therapy in regulation of atherosclerosis development at the level o... by A. V. Gertsev, Yu. N. Zakrevskii, V. N. Ischuk

“…Scientific medical literature has accumulated a lot of data suggesting most important components of coronary heart disease pathogenesis and hypertension to be complex triggering processes of neuro-immune and neuro-endocrine interactions. …”
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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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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

“…AI-powered automated reporting improves efficiency and minimizes errors, while AI-based decision support systems deliver real-time insights and detect complex patterns, resulting in more effective strategic decisions. …”
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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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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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HFC-YOLO11: A Lightweight Model for the Accurate Recognition of Tiny Remote Sensing Targets by Jinyin Bai, Wei Zhu, Zongzhe Nie, Xin Yang, Qinglin Xu, Dong Li

“…Ablation studies validate the balanced performance of the hierarchical feature compensation strategy in the preservation of resolution and computational efficiency. Visualization results confirm an enhanced robustness against complex background interference. …”
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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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Optimized Flare Performance Analysis Through Multi-Modal Machine Learning and Temporal Standard Deviation Enhancements by Said Boumaraf, Pengfei Li, Muaz Al Radi, Fares Oussama Abdelhafez, Abderaouf Behouch, Khalid Yousef Al Awadhi, Hamad Karki, Sajid Javed, Jorge Dias, Naoufel Werghi

“…Current solutions for monitoring flare efficiency are often complex or expensive, limiting their widespread adoption. …”
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Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits by Antonina Kashtalian, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk

“…New mathematical models were developed for the criteria for operational efficiency, stability, integrity and security in relation to the system center, which, unlike the known mathematical models for evaluating system centers for selecting the next options for centralization, are presented in analytical expressions that take into account the features of the types of centralization in the system architecture, indicators of operational efficiency, stability, integrity and security in relation to the system center and allow forming on their basis an objective function for evaluating options for centralization in systems, the feature of which is the hiding of components with the system center from detection by attackers. …”
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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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DEVELOPMENT OF THE STATE SUPPORT FORMS PROJECTS IN INDUSTRIAL BUILDING by I. M. Meilanov, A. M. Esetova

“…In the course of the research the system, subject-functional and structural approaches were implemented to solve the problems set widening the scope of the complex approach to assessment of the current operating mechanism of the state financial support of the projects and financial volume; to criteria stipulation of the most effective projects contest selection: to the search of the investment resources accumulation instrument into industrial building.Results. …”
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DCGOFTracker: Dual-Cue Guidance and Occlusion-Friendly for Multiobject Tracking in Remote Sensing Videos by Bei Cheng, Bo Wang, Qingwang Wang, Wenhao Chen, Tao Shen, Zhengzhou Li

“…Mainstream multiobject tracking algorithms typically employ a joint detection and association approach. However, in remote sensing videos characterized by crowded scenes with numerous small objects and complex backgrounds, existing trackers often suffer from high rates of missed and false detections. …”
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Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks by Haitao Liu, Yunfan Xu, Yuefeng Qi, Haosong Yang, Weihong Bi

“…Distributed Acoustic Sensing (DAS) systems face increasing challenges in massive data processing and real-time fault diagnosis due to the growing complexity of industrial environments and data volume. …”
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A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features by Nurhan Gürsel Özmen, Neslihan Baki

“…Therefore, in this study, an efficient PD detection method from EEG data by using a new set of features is searched. …”
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Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

“…Next, the features are extracted using the Dilated Convolution Block Attention Module with EfficientNet (DCBAM-EfficientNet) module, which derives the intrinsic and complex features. …”
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GS-LinYOLOv10: A drone-based model for real-time construction site safety monitoring by Yang Song, ZhenLin Chen, Hua Yang, Jifei Liao

“…The model integrates IoT sensor data for real-time feedback, incorporates the GSConv module for lightweight feature extraction, and utilizes a Linformer-based attention mechanism to efficiently capture global context. These innovations reduce computational complexity while significantly improving detection accuracy. …”
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The radical innovation design comparator to evaluate the effectiveness of design solutions according to usage contexts by Bernard Yannou, Robin Lecomte, François Cluzel

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Vehicle-to-Infrastructure Multi-Sensor Fusion (V2I-MSF) With Reinforcement Learning Framework for Enhancing Autonomous Vehicle Perception by Daud Khan, Sawera Aslam, Kyunghi Chang

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