The Potential, Applications, and Challenges of Internet of Things (IoT) Technologies From the Perspectives of Clinicians. [PDF]
Alanazi A.
europepmc +1 more source
Integrated Edge Deployable Fault Diagnostic Algorithm for the Internet of Things (IoT): A Methane Sensing Application. [PDF]
Kumar SV, Mary GAA, Mahdal M.
europepmc +1 more source
The Critical Application of Internet of Things (IoT) in the Overall Development of Education
S.M.S. Chahal
openalex +2 more sources
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
In-Memory Shellcode Runner Detection in Internet of Things (IoT) Networks: A Lightweight Behavioral and Semantic Analysis Framework. [PDF]
Dora JR, Hluchý L, Staňo M.
europepmc +1 more source
Internet of things (IoT) for smart agriculture: Assembling and assessment of a low-cost IoT system for polytunnels. [PDF]
Jaliyagoda N +6 more
europepmc +1 more source
This review systematically analyzes deformable drones, including extendable, foldable, and tilting configurations, along with nature‐inspired flapping rotorcraft. By classifying deformation principles and structural mechanisms, design trade‐offs, functional capabilities, and future development potential are highlighted.
Ju‐Hee Lee +9 more
wiley +1 more source
Machine learning for Internet of Things (IoT) device identification: a comparative study. [PDF]
Tahaei H +7 more
europepmc +1 more source
Retracted: Design and Implementation of Intelligent Monitoring System for Head and Neck Surgery Care Based on Internet of Things (IoT). [PDF]
Healthcare Engineering JO.
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
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

