Search Results - (( its application using algorithms ) OR ( iot applications learning algorithm ))

Botnet Detection in IoT Devices Using Random Forest Classifier with Independent Component Analysis by Akash, Nazmus Sakib, Rouf, Shakir, Jahan, Sigma, Chowdhury, Amlan, Uddin, Jia

Get full text
Get full text

IOT-based fertigation system / Mohamad Amir Furqan Darus by Darus, Mohamad Amir Furqan

“…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

Home intruder detection system using machine learning and IoT by Sahlan, Fadhluddin, Feizal, Faeez Zimam, Mansor, Hafizah

“…HIDES successfully achieves its objective in detecting persons precisely and alerting the detection to users through mobile application remotely. …”
Get full text
Get full text
Get full text

'Chapter 10: 5G-enabled IoT applications in healthcare: Transforming the Industry 5.0 healthcare landscape' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 T... by Mohamad Nazim, Jambli, Mohamad Zul Haziq, Mohd Fadzli, Sinarwati, Mohamad Suhaili, Nur Haryani, Zakaria

“…Practical insights are offered alongside cutting-edge applications, such as blockchain, the Internet of Things (IoT), QR code, and augmented reality (AR), as well as the consideration of privacy, trust, and authentication through digital signatures. …”
Get full text
Get full text
Get full text

Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment by Ahmed Hamza, Manar, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, S. Alotaibi, Saud, Mahgoub, Hany, S. Mehanna, Amal, Motwakel, Abdelwahed

“…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

Trust-aware authentication and authorization for IoT: a federated machine learning approach by Ahmed, Kazi Istiaque, Tahir, Mohammad, Lau, Sian Lun, Habaebi, Mohamed Hadi, Ahad, Abdul, Mughees, Amna

Get full text
Get full text
Get full text
Get full text

Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning by Abuzaraida, Mustafa Ali, A. L. gaud, Sarah, Abrahim Hneish, Hamza, Attarbashi, Zainab

Get full text
Get full text
Get full text

Fog-cloud scheduling simulator for reinforcement learning algorithms by Al-Hashimi, Mustafa Ahmed Adnan, Rahiman, Amir Rizaan, Muhammed, Abdullah, Hamid, Nor Asilah Wati

“…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

'Chapter 7: Smartphone penetration test: Securing Industry 5.0 mobile applications' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 Technology, Tools, and Al... by Eka Wahyu, Aditya, Nur Haryani, Zakaria, Fazli, Azzali, Mohamad Nazim, Jambli

“…Practical insights are offered alongside cutting-edge applications, such as blockchain, the Internet of Things (IoT), QR code, and augmented reality (AR), as well as the consideration of privacy, trust, and authentication through digital signatures. …”
Get full text
Get full text
Get full text

Securing IoT networks using machine learning-resistant physical unclonable functions (PUFs) on edge devices by Sheikh, Abdul Manan, Islam, Md. Rafiqul, Habaebi, Mohamed Hadi, Zabidi, Suriza Ahmad, Najeeb, Athaur Rahman, Baloch, Mazhar

Get full text
Get full text
Get full text

Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

“…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

Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

“…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

Software agent as an effective tool for managing the Internet of thing data complexity by Mustafa, M.B., Yusoof, M.A.M.

Get full text
Get full text

Dynamic user preference parameters selection and energy consumption optimization for smart homes using deep extreme learning machine and bat algorithm by Shah, Abdul Salam, Mohamad Nasir, Haidawati, Fayaz, Muhammad, Lajis, Adidah, Ullah, Israr, Shah, Asadullah

Get full text
Get full text
Get full text

Smart attendance system with Iot based face recognition using deep learning approach by Seah, You

Get full text
Get full text

A case study of unmanned aerial vehicle (drone) technology and its applications in the COVID-19 pandemic by Aabid, Abdul, Perveez, Bisma, Perveen, Nagma, Khan, Sher Afghan, Shabbir, Omar

“…On the other hand, a soft computing approach such as artificial intelligence (A.I.), the internet of things (IoT), neural network, fuzzy logic, genetic algorithm, and machine learning has become crucial in the design and application of UAVs. …”
Get full text
Get full text
Get full text

Intelligent decision support systems: transforming smart cities management by Ahmed, Zeinab E., Hassan Abdalla Hashim, Aisha, Mokhtar, Rania A., Saeed, Mamoon M.

Get full text
Get full text
Get full text
Get full text

Design and implementation of a deep learning based hand gesture recognition system for Rehabilitation Internet-Of-Things (RIOT) environments using MediaPipe by Mohd Dhuzuki, Nurul Hanis, Zainuddin, Ahmad Anwar, Kamarul Zaman, Nur Anis Sofea, Ahmad Razmi, Alin Nur Maisarah, Kaitane, Wonderful Shammah, Ahmad Puzi, Asmarani, Johar, Mohd Naqiuddin, Yazid, Maslina, Mohd Nordin, Nor Azlin, Sidek, Shahrul Naim, Mohd Zaki, Hasan Firdaus

Get full text
Get full text
Get full text

Detection of DDoS attacks in IoT networks using machine learning algorithms by Abdulrahman Alwan, Alwan Ahmed, Shah, Asadullah, Abdulrahman Alwan, Alwan Abdullah, Laghari, Shams Ul Arfeen

Get full text
Get full text
Get full text
Get full text

A Review on Attack Graph Analysis for IoT Vulnerability Assessment: Challenges, Open Issues, and Future Directions by Almazrouei O.S.M.B.H., Magalingam P., Hasan M.K., Shanmugam M.

“…In this review, core modeling techniques for IoT vulnerability assessment are highlighted, such as Markov Decision Processes (MDP), Feature Pyramid Networks (FPN), K-means clustering, and logistic regression models, along with other techniques involving genetic algorithms like fast-forward (FF), contingent fast-forwards (CFF), advanced reinforcement-learning algorithms, and HARMs models. …”