Results 121 to 130 of about 96,189 (287)
Optimizing Weighted Fair Queuing with Deep Reinforcement Learning for Dynamic Bandwidth Allocation
The rapid growth of high-quality telecommunications demands enhanced queueing system performance. Traditional bandwidth distribution often struggles to adapt to dynamic changes, network conditions, and erratic traffic patterns.
Mays A. Mawlood, Dhari Ali Mahmood
doaj +1 more source
Fair Markets and Resilient Supply Chains: Designing Sustainable Intermediation for Rural Communities
ABSTRACT Agriculture in Ecuador's communes faces significant economic, social, and environmental challenges, intensified by supply chains dominated by traditional intermediaries. The lack of context‐specific sustainability studies further increases the vulnerability of smallholders.
Jacqueline del Rocío Bacilio Bejeguen +3 more
wiley +1 more source
Tendon‐sheath mechanisms are widely used in various robotic systems for remote position transmission, including aerospace vehicles, flexible rescue robots, dexterous robotic hands, exoskeleton robots, soft wearable devices, industrial robots, and flexible surgical robots.
Jiaqi Li, Qian Gao
wiley +1 more source
Upstream traffic capacity of a WDM EPON under online GATE-driven scheduling
Passive optical networks are increasingly used for access to the Internet and it is important to understand the performance of future long-reach, multi-channel variants.
Antunes, Nelson +3 more
core +1 more source
Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review
Small‐body sampling robots are exploration systems that perform contact, sampling, and stable operations on microgravity bodies such as asteroids and comets. The authors review representative robot architectures and key technologies, focusing on the mechanisms, evolution, and coupling of sampling, mobility, and anchoring.
Yurui Shen +7 more
wiley +1 more source
Lifecycle‐Based Governance to Build Reliable Ethical AI Systems
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley +1 more source
Information Dynamics and Learning in Complex Adaptive Systems: Toward a Transdisciplinary Framework
ABSTRACT This article develops a framework for understanding learning and adaptation in complex adaptive systems. Drawing from neuroscience, systems theory, information theory and quantum field theory, it examines how information processing, plasticity and systemic coherence emerge from distributed, nonlinear and feedback‐driven interactions. It argues
Anderson de Souza Sant'Anna
wiley +1 more source
Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen +6 more
wiley +1 more source
ABSTRACT Digital Engineering (DE) transformation represents a paradigm shift in systems engineering (SE), aiming to integrate heterogeneous analytical models and digital artifacts into an authoritative source of truth to improve traceability and lifecycle management.
Md Doulotuzzaman Xames, Taylan G. Topcu
wiley +1 more source
Demand-based dynamic bandwidth allocation in multi-beam satellites using machine learning concepts
In the realm of satellite communication, where the importance of efficient spectrum utilization is growing day by day due to the increasing significance of this technology, dynamic resource management has emerged as a pivotal consideration in the design ...
Shwet Kashyap, Nisha Gupta
doaj +1 more source

