International Journal of Machine Learning and Cybernetics, Год журнала: 2025, Номер unknown
Опубликована: Март 4, 2025
Язык: Английский
International Journal of Machine Learning and Cybernetics, Год журнала: 2025, Номер unknown
Опубликована: Март 4, 2025
Язык: Английский
Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 129, С. 107581 - 107581
Опубликована: Дек. 12, 2023
Язык: Английский
Процитировано
46Applied Physics A, Год журнала: 2025, Номер 131(3)
Опубликована: Фев. 24, 2025
Язык: Английский
Процитировано
4NeuroImage, Год журнала: 2024, Номер 297, С. 120740 - 120740
Опубликована: Июль 23, 2024
Modular dynamic graph theory metrics effectively capture the patterns of information interaction during human brain development. While existing research has employed modular algorithms to examine overall impact changes in community structure throughout development, there is a notable gap understanding cross-community within different functional networks early childhood and their potential contributions efficiency transmission. This study seeks address this by tracing trajectories structural modeling transmission efficiency. We analyzed 194 imaging scans from 83 children aged 2 8 years, who participated passive viewing magnetic resonance sessions. Utilizing sliding windows algorithms, we evaluated three spatiotemporal metrics-temporal flexibility, diversity, within-community diversity-and four centrality metrics: degree centrality, eigenvector between-community centrality. Mixed-effects linear models revealed significant age-related increases temporal flexibility default mode network (DMN), executive control (ECN), salience (SN), indicating frequent adjustments these childhood. Additionally, diversity SN also displayed increases, highlighting its broad pattern interactions. Conversely, language exhibited decreases, reflecting network's gradual specialization. Furthermore, our findings indicated across DMN, ECN, SN, network, dorsal attention while increased significantly for SN. However, remained stable all These results suggest that interactions communities remains stable. Finally, mediation analysis was conducted explore relationships between age, metrics, both global local based on structure. The primarily mediated relationship age decrease efficiency, those increase suggests developmental trajectory integration segregation, with playing pivotal role transformation. provides novel insights into mechanisms which development impacts through networks.
Язык: Английский
Процитировано
12Cyborg and Bionic Systems, Год журнала: 2024, Номер 5
Опубликована: Янв. 1, 2024
Over time, the utilization of Underwater Vehicle-Manipulator System (UVMS) has steadily increased in exploring and harnessing marine resources. However, underwater environment poses big challenges for controlling, navigating, communicating with UVMS. These have not only spurred continuous advancement related technologies, but also made development UVMS even more captivating. This article firstly provides a review status discusses current limitations future directions, then reviews detail dynamic hydrodynamic modeling methods, analyzes principles, advantages, disadvantages various approaches. Then, we try to 2 key technologies operation control including positioning navigation vehicle-manipulator coordinated Finally, reasonable prospect is given.
Язык: Английский
Процитировано
10Brain Research, Год журнала: 2024, Номер 1845, С. 149202 - 149202
Опубликована: Авг. 30, 2024
Язык: Английский
Процитировано
10Industrial Crops and Products, Год журнала: 2025, Номер 225, С. 120503 - 120503
Опубликована: Янв. 21, 2025
Язык: Английский
Процитировано
2Neuroscience, Год журнала: 2025, Номер unknown
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
2Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 152, С. 110749 - 110749
Опубликована: Апрель 15, 2025
Язык: Английский
Процитировано
2MRS Bulletin, Год журнала: 2024, Номер 49(2), С. 115 - 124
Опубликована: Фев. 1, 2024
Abstract The advent of small-scale robots holds immense potential for revolutionizing various industries, particularly in the domains surgery and operations within confined spaces that are currently inaccessible to conventional tools. However, their tethered nature dependence on external power sources impede progress. To surmount these challenges, integration batteries into diminutive emerges as a promising solution. This article explores robots, focusing “hard” “soft” approaches. challenges integrating rigid microrobots discussed. Various battery materials suitable microfabrication explored, along with creating three-dimensional structures optimize performance limited space. emphasizes need flexible deformable technologies seamlessly integrate soft robotic systems. Challenges related flexibility, stretchability, biocompatibility addressed. concept distributed mobile energy units, where smaller assemble larger bank, is proposed scalability adaptability. Extracting from environment, inspired by fuel cells, reduces reliance traditional batteries. offers valuable insights propelling advancements autonomous versatile By overcoming current limitations, integrated will unlock full across industries. Graphical abstract
Язык: Английский
Процитировано
9Ain Shams Engineering Journal, Год журнала: 2024, Номер 15(10), С. 102941 - 102941
Опубликована: Июль 8, 2024
A new paradigm for supporting medical services, especially beneficial metropolitan regions and individuals experiencing homelessness who use technological communications, is fog-based healthcare service management integrated with the Internet of Things (IoT). This allows flexible transformation health data into personalized, meaningful knowledge, potentially having a significant impact on practices in communities where departments are not actively engaged. Fog computing IoT crucial components today's system, facilitating vast amounts big disease prediction diagnosis. However, there risk incorrect diagnosis when patient has multiple illnesses. paper aims to develop model cardiovascular diseases diabetes using combination AI approaches. The proposed encompasses collection, preprocessing, classification, parameter setting. Wearables sensors, which part IoT, facilitate easy while artificial intelligence methods this detection. As an example intelligent systems, approach employs Smart Healthcare-Crow Search Optimization (SH-CSO) algorithm diagnose diseases. By adjusting "weight" "bias" parameters systems model, CSO enhances classification data. application significantly improves diagnostic outcomes model. efficacy SH-CSO was validated records. Results demonstrated that could maximum accuracy 97.26% heart 96.16%.
Язык: Английский
Процитировано
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