Search Results - (( iot applications learning algorithm ) OR ( based application using algorithm ))*
Search alternatives:
- applications learning »
- learning algorithm »
- based application »
- iot applications »
- using algorithm »
-
1
IOT-based fertigation system / Mohamad Amir Furqan Darus
Published 2024“…The Fertigation, the precise application of water and fertilizers in agriculture, has evolved with the integration of Internet of Things (IoT) technology. …”
Get full text
Get full text
Student Project -
2
-
3
Applications of deep learning algorithms for supervisory control and data acquisition intrusion detection system
Published 2022“…For each algorithm, prior works have been identified, examined, and described based on their conceptual similarities. …”
Get full text
Get full text
Get full text
Article -
4
Determination of suitable resource discovery tool and methodology for high-volume internet of things (IoT)
Published 2021“…Q-learning is one of the successful techniques available for the exploration of IoT nodes, but context based problems have already been established and simplified as issues of dedicated server management, IoT object data acquisition issues, and unique application requirements. …”
Get full text
Get full text
Conference or Workshop Item -
5
-
6
Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment
Published 2022“…Here, the novelty of the work is the application of MVO algorithm in fine-turning the hyperparameters involved in BiGRU model. …”
Get full text
Get full text
Get full text
Article -
7
A comprehensive survey of deep reinforcement learning in UAV-assisted IoT data collection
Published 2025“…Unmanned Aerial Vehicles (UAVs) play a critical role in data collection for a wide range of Internet of Things (IoT) applications across remote, urban, and marine environments. …”
Get full text
Get full text
Article -
8
Energy consumption optimization in the smart homes
Published 2021Get full text
Get full text
Get full text
Proceeding Paper -
9
Fog-cloud scheduling simulator for reinforcement learning algorithms
Published 2023“…Fog computing is a popular choice for Internet of Things (IoT) applications, such as electricity, health, transportation, smart cities, security, and more. …”
Get full text
Get full text
Article -
10
Deep reinforcement learning online offloading for SWIPT multiple access edge computing network
Published 2021“…Deep Q network (DQN) is used to learn the binary offloading decisions from the learning experience. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
11
-
12
Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017Get full text
Get full text
Conference or Workshop Item -
13
IoT alarm system: detecting & preventing microsleep events
Published 2024“…Node-RED, a powerful visual programming tool used for developing IoT applications, facilitated the creation of an intuitive and informative dashboard.…”
Get full text
Get full text
Book Section -
14
Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks
Published 2021“…This paper also presents a framework that maps the activities defined in rice smart farming, data used in data modelling and machine learning algorithms used for each activity defined in the production and post-production phases of paddy rice. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
15
-
16
Smart attendance system with Iot based face recognition using deep learning approach
Published 2023Get full text
Get full text
Final Year Project / Dissertation / Thesis -
17
Implementing server-side federated learning in an edge-cloud framework for precision aquaculture
Published 2025Get full text
Get full text
Final Year Project / Dissertation / Thesis -
18
Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
Get full text
Get full text
Article -
19
Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
Get full text
Get full text
Article -
20
