Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
Advanced Intelligent Systems, EarlyView.This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin +9 more
wiley +1 more source
A feasibility study for the provision of electronic healthcare tools and services in areas of Greece, Cyprus and Italy [PDF]
, 2011 Background: Through this paper, we present the initial steps for the creation of an integrated platform for the provision of a series of eHealth tools and services to both citizens and travelers in isolated areas of thesoutheast Mediterranean, and on ...
Androulidakis, Aggelos +10 more
core +7 more sources
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Concentrated Ground Plane Booster Antenna Technology for Multiband Operation in Handset Devices [PDF]
, 2014 The current demand in the handset antenna field requires multiband antennas due to the existence of multiple communication standards and the emergence of new ones.
Andujar, A. +4 more
core +2 more sources
Harnessing the Power of 2D Materials for Flexible Energy Harvesting Applications
Carbon Energy, EarlyView.Ambient energy harvesting offers transformative potential for sustainable energy solutions, with 2D materials emerging as a game‐changing platform due to their atomic‐scale thickness, tunable properties, and versatility. This review explores the mechanisms, advantages, and challenges of 2D material–based energy harvesting technologies, emphasizing ...
Muhammad Zubair +2 more
wiley +1 more source
Digital Rights Activism in Multilevel Governance
European Policy Analysis, EarlyView.ABSTRACT Multilevel governance (MLG) without a clear hierarchical structure can create power imbalances among various actors, particularly in settings with overlapping jurisdictions and policy areas. This dynamic is especially pronounced in Internet governance, which faces a complex interplay of domestic laws, state interdependence, and heightened ...
Alison Harcourt
wiley +1 more source
An investigation into advance time division multiple access based personal communication networks : this thesis is presented in partial fulfilment of the requirements for the degree of Master of Technology in Production Technology at Massey University [PDF]
, 1997 This thesis examines and simulates a statistically multiplexed multiple access technique known as Advanced Time Division Multiple Access (ATDMA). The simulations were carried out in a multimedia traffic environment.
Lokuge, Chaturanga Pilane
core
Conformal shape‐adaptive wireless charging supercapacitors for wearable devices
FlexMat, EarlyView.This article presents a conformal shape‐adaptive MXene‐printed flexible supercapacitor that maintains outstanding electrochemical performance on curved surfaces, thereby enabling simultaneous wireless energy harvesting and storage for advanced wearable electronics.
Yihang Cao +10 more
wiley +1 more source
Flexible organic crystals: From rational design to applications
FlexMat, EarlyView.Abstract Flexible organic crystals (FOCs) represent an innovative category of organic crystalline materials distinguished by their remarkable ability to undergo elastic deformation or bending when subjected to external forces, all while maintaining the integrity of their crystalline order.
Cheng‐Fang Liu +4 more
wiley +1 more source
Reinforcement Learning Enabled Nanophotonic Devices
Laser &Photonics Reviews, EarlyView.A reinforcement learning algorithm is used to design photonic devices. The method creates metagratings and grating couplers that efficiently control both the direction and polarization of light. Further, a reinforcement learning approach is used to design in‐plane integrated photonic devices. This approach paves the way for advanced photonic components
Zi Wang +4 more
wiley +1 more source