Results 41 to 50 of about 6,098 (219)
Internet of Things (IoT) Platform for Multi-Topic Messaging
Energies, 2020 IoT-based applications operate in a client–server architecture, which requires a specific communication protocol. This protocol is used to establish the client–server communication model, allowing all clients of the system to perform specific tasks ...
Mahmoud Hussein +3 more
doaj +1 more source
Electrosense: Open and Big Spectrum Data [PDF]
, 2018 While the radio spectrum allocation is well regulated, there is little knowledge about its actual utilization over time and space. This limitation hinders taking effective actions in various applications including cognitive radios, electrosmog monitoring,
Bergh, Bertold Van den +7 more
core +2 more sources
CAAI Transactions on Intelligence Technology, EarlyView.Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source
Challenges and Optimization of Message Queuing Telemetry Transport-Resource Discovery Operation
Engineering ProceedingsWith the rapid development of the Internet of Things (IoT) applications, the ability to automatically discover and retrieve resource information has become increasingly enhanced.
An-Tong Shih +2 more
doaj +1 more source
Pervasive brain monitoring and data sharing based on multi-tier distributed computing and linked data technology [PDF]
, 2014 EEG-based Brain-computer interfaces (BCI) are facing grant challenges in their real-world applications. The technical difficulties in developing truly wearable multi-modal BCI systems that are capable of making reliable real-time prediction of users ...
Ce-Kuen Shieh +12 more
core +2 more sources
eFood, Volume 7, Issue 3, June 2026.This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar +9 more
wiley +1 more source
, 2020 The implementation of connected and automated vehicle (CAV) technologies enables a novel computational framework for real-time control aimed at optimizing energy consumption with associated benefits.
Jade, Shyam +4 more
core +1 more source
Perspectives On Machine Learning Inference Serving in Real‐World Settings
Software: Practice and Experience, Volume 56, Issue 6, Page 734-757, June 2026.ABSTRACT Introduction As machine learning (ML)‐enabled systems become increasingly prevalent across industries, the engineering challenges of deploying and maintaining them in production have emerged as critical. The existing engineering knowledge base often derives from conceptual frameworks or case studies conducted by large technology companies ...
Dennis Muiruri +3 more
wiley +1 more source
IOT future in Edge Computing [PDF]
, 2016 With the advent of Internet of Things (IoT) and data convergence using rich cloud services, data computing has been pushed to new horizons. However, much of the data generated at the edge of the network leading to the requirement of high response time. A
Chikkamannur, A. A. (Ajeet) +1 more
core +1 more source
A Blockchain‐Less Traceability System for Agriculture Using DAG, IPFS, and Serverless Deployments
International Journal of Network Management, Volume 36, Issue 3, May/June 2026.ABSTRACT Ensuring transparency and integrity in agricultural data management is a critical challenge as the sector increasingly relies on advanced technologies. The primary problem is maintaining data traceability and security throughout the supply chain.
Antonio Villafranca +6 more
wiley +1 more source