Results 121 to 130 of about 242,922 (315)

Merlin: A Language for Provisioning Network Resources [PDF]

, 2014
This paper presents Merlin, a new framework for managing resources in software-defined networks. With Merlin, administrators express high-level policies using programs in a declarative language.
Emin Gün, I Fern, O Pedone, Parisa Jalili Mar, Robert Kleinberg, Robert Soulé, Shrutarshi Basu, Sirer Nate Foster   +7 more
core   +5 more sources

Non‐Invasive Brain Stimulation in Chronic Pain: Current Evidence, Network Perspectives and Paths to Personalization

Sensory Neuroscience, EarlyView.
Chronic pain reflects maladaptive network interactions across sensory, salience/affective, and descending modulatory pathways. We review evidence for non‐invasive brain stimulation—rTMS, tES, and low‐intensity focused ultrasound—highlighting modest, variable, and often short‐lived analgesic effects under conventional protocols.
Fabian Broecker, Sven Vanneste
wiley   +1 more source

NASH BARGAINING BASED BANDWIDTH ALLOCATION IN COGNITIVE RADIO FOR DELAY CRITICAL APPLICATIONS [PDF]

ICTACT Journal on Communication Technology, 2015
In order to effectively regulate the existing resources, dynamic spectrum access in cognitive radio needs to adopt the effective resource allocation strategies.
Kalyani Kulkarni, Bharat S. Chaudhari
doaj  

Position Transmission Control in Tendon–Sheath Mechanisms: A Critical Review and a Promising Solution

SmartBot, EarlyView.
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

Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review

SmartBot, EarlyView.
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, Yixin Zhu, Mingxia Bao, Ting Zhang, Jun Wu, Jingbin Hao, Dezheng Hua, Xinhua Liu   +7 more
wiley   +1 more source

Renovating Neural Networks With Viral‐Mediated Gene Transfer From A Tissue Contacting Matrix Mimic

Small, EarlyView.
Fmoc‐DDIKVAV self‐assembling peptidemediated delivery of AAV‐BDNF significantly enhances neuroprotection in the striatum of a mouse model compared with AAV‐BDNF injection alone. This synergistic integration of biomaterial scaffolding and gene therapy holds substantial promise for slowing the progression of neurodegenerative diseases such as Huntington ...
Shiva Soltani Dehnavi, Negar Mahmoudi, Yi Wang, Samuel Cheeseman, Rita Ferreira, Ross D. Hannan, Leszek Lisowski, Vincent S. J. Craig, Niamh Moriarty, Clare L. Parish, Richard J. Williams, David R. Nisbet   +11 more
wiley   +1 more source

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

Systems Research and Behavioral Science, EarlyView.
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

Simulations of Grant Allocation in NG-PON2 Networks Using OPNET Modeler

Journal of Communications Software and Systems, 2018
Passive optical networks are the most promising networks for the future. In 1998, the first standard of PONs was developed. Since that time, quality of optical transmissions and technologies has been massively improved and today's standards are capable ...
Tomas Horvath, Patrik Cymorek, Petr Munster, Vaclav Oujezsky, Josef Vojtech   +4 more
doaj  

Optimizing Weighted Fair Queuing with Deep Reinforcement Learning for Dynamic Bandwidth Allocation

Telecom
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

Information Dynamics and Learning in Complex Adaptive Systems: Toward a Transdisciplinary Framework

Systems Research and Behavioral Science, EarlyView.
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