Results 101 to 110 of about 6,773 (260)
A routing algorithm for mobile ad-hoc networks using fuzzy logic and hierarchical tree creation
Egyptian Informatics JournalMobile Ad hoc Networks) MANETs) have their limitations because of their dynamic topology, absence of fixed infrastructure, and restricted energy resources.
ZhiYuan Shen, HaoDe Shen, WeiFeng Wu
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T‐800: An 800 Hz Data Glove for Precise Hand Gesture Tracking
SmartBot, EarlyView.Hand motion capture provides critical insights into human dexterity and facilitates advancements in robotic manipulation, yet existing systems are limited by a trade‐off between temporal resolution and visual occlusion. Here, the authors present T‐800, a high‐bandwidth data glove achieving synchronized full‐hand motion capturing at 800 Hz.
Haoyang Luo +7 more
wiley +1 more source
On Topology of Fuzzy Strong b-Metric Spaces
Journal of New Theory, 2018 In this study, we introduce and investigate the concept of fuzzy strong b-metric space such that is a fuzzy analogy of strong b-metric spaces. By using the open balls, we define a topology on these spaces which is Hausdor® and first countable. Later
Tarkan Oner
doaj
Systems Research and Behavioral Science, EarlyView.ABSTRACT Recurring conflict in healthcare teams frequently persists despite well‐intended interventions (Page et al. 2024; Mazzei et al. 2024). Dynamic systems theory helps to map how such recurrences reflect systemic feedback loops linking individual experience, behaviour, shared beliefs and organisational structures, supporting intervention design at
Dominik Havsteen‐Franklin
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Recent Advances in Photocatalyst‐Driven Protein Labeling and Proximity Mapping
The Chemical Record, EarlyView.Photocatalyst‐driven protein labeling and proximity mapping have rapidly advanced as powerful strategies for spatiotemporal control in complex biological environments. This review integrates recent developments across single‐electron transfer and energy transfer‐based mechanisms and highlights how catalyst design, reactive intermediates, and diffusion ...
Shinichi Sato +3 more
wiley +1 more source
AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang +6 more
wiley +1 more source
Application of Intelligent Systems in CO2 Management: State of the Art and Future Prospects
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Machine learning (ML) integration is becoming increasingly popular in advancing the 4th industrial revolution, known as Industry 4.0. This review paper examines ML applications in CO2 management stages: emission, capture, and conversion. ML models, including multiple linear regression (MLR), multiple nonlinear regression (MNLR), and artificial
Muhammad Zulkefal +7 more
wiley +1 more source
Journal of New Theory, 2019 Every year different type of topological spaces are introduced by many topologist. Now a days available topologies are supra topology, ideal topology, bitopology, fuzzy topology, Fine topology, nano topology and so on.
Sakkraiveeranan Chandrasekar
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A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
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