تصفح Faculty Contributions حسب الموضوع "machine learning (ML)"
السجلات المعروضة 1 -- 11 من 11
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Budgeted online selection of candidate iot clients to participate in federated learning
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ... -
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Deep reinforcement learning (DRL) has numerous applications in the real world, thanks to its ability to achieve high performance in a range of environments with little manual oversight. Despite its great advantages, DRL ... -
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT network. For this purpose, numerous ... -
Custom Hardware Architectures for Deep Learning on Portable Devices: A Review
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The staggering innovations and emergence of numerous deep learning (DL) applications have forced researchers to reconsider hardware architecture to accommodate fast and efficient application-specific computations. Applications, ... -
Disaster and Pandemic Management Using Machine Learning: A Survey
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)This article provides a literature review of state-of-the-art machine learning (ML) algorithms for disaster and pandemic management. Most nations are concerned about disasters and pandemics, which, in general, are highly ... -
Machine Learning-Based Network Vulnerability Analysis of Industrial Internet of Things
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially devastating consequences in case of an attack. Machine learning (ML) and big data analytics are the two powerful leverages ... -
Machine-Learning-Based Efficient and Secure RSU Placement Mechanism for Software-Defined-IoV
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The massive increase in computing and network capabilities has resulted in a paradigm shift from vehicular networks to the Internet of Vehicles (IoV). Owing to the dynamic and heterogeneous nature of IoV, it requires ... -
Modelling fatigue uncertainty by means of nonconstant variance neural networks
( Wiley , 2022 , Article)The modelling of fatigue using machine learning (ML) has been gaining traction in the engineering community. Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for ... -
Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies
( Hindawi Limited , 2022 , Article)Background. Diabetic sensorimotor polyneuropathy (DSPN) is a major form of complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is very common ... -
Privacy-Preserving Support Vector Machine Training over Blockchain-Based Encrypted IoT Data in Smart Cities
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Machine learning (ML) techniques have been widely used in many smart city sectors, where a huge amount of data is gathered from various (IoT) devices. As a typical ML model, support vector machine (SVM) enables efficient ... -
A survey on federated learning: The journey from centralized to distributed on-site learning and beyond
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Driven by privacy concerns and the visions of deep learning, the last four years have witnessed a paradigm shift in the applicability mechanism of machine learning (ML). An emerging model, called federated learning (FL), ...
