Results 41 to 50 of about 5,924 (195)
An Ecosystem to Develop Multi‐Agent Systems in Real‐World IoT Applications
ABSTRACT Software agents and multi‐agent systems are critical components in the development of distributed autonomous systems, as they exhibit a wide range of “intelligence,” from reactive behaviors to advanced reasoning and planning. Integrating these capabilities into multi‐agent systems enables distributed artificial intelligence, a programming ...
Davide Carnemolla +3 more
wiley +1 more source
Rancang Bangun Otomatisasi Rumah Berbasis Wireless Sensor Network Menggunakan Protokol Komunikasi Message Queuing Telemetry Transport [PDF]
Home electronic devices, such as lights, fans, and etcetera are now an inseparable part from the daily life of current society. However, these devices are often used in a wasteful manner. A room light, for example, is often still lit even though it is no
Halomoan, J. (Junartho) +2 more
core
Maritime Data Transfer Protocol (MDTP): A Proposal for a Data Transmission Protocol in Resource-Constrained Underwater Environments Involving Cyber-Physical Systems [PDF]
The utilization of autonomous maritime vehicles is becoming widespread in operations that are deemed too hazardous for humans to be directly involved in them.
Bilbao, Sonia +3 more
core +3 more sources
An Overview of Deep Learning Techniques for Big Data IoT Applications
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
Penelitian ini bertujuan untuk memberikan rasa kenyamanan, keamanan dan efisiensi bagi user atau pemilik rumah dalam mengendalikan dan memonitoring peralatan elektronik yang digunakan dirumah dengan pemanfaatan teknologi smartphone dan koneksi internet ...
Yohanes Bowo Widodo +2 more
doaj +1 more source
IOT future in Edge Computing [PDF]
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
This review proposes using machine learning (ML) and large language models (LLMs) to circumvent performance variabilities in chemical vapour deposition graphene coatings for corrosion resistance. ML optimises synthesis parameters, predicting quality metrics, for example, defect density and layer count, and LLMs structure complex literature data via a ...
Pragyan Goswami +2 more
wiley +1 more source
This paper presents a comprehensive review of Internet of Things (IoT)‐deep reinforcement learning (DRL) integration for smart building energy management, with an emphasis on addressing renewable energy variability, real‐time decision‐making and interoperability challenges.
Tehseen Mazhar +2 more
wiley +1 more source
Arm Mbed – AWS IoT System Integration [Open access] [PDF]
This project explores the different Internet of Things (IoT) architectures and the available platforms to define a general IoT Architecture to connect Arm microcontrollers to Amazon Web Services.
Cochran, Sandy +3 more
core
Internet of Things Cloud: Architecture and Implementation
The Internet of Things (IoT), which enables common objects to be intelligent and interactive, is considered the next evolution of the Internet. Its pervasiveness and abilities to collect and analyze data which can be converted into information have ...
Chatzimisios, Periklis +6 more
core +1 more source

