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Budgeted online selection of candidate iot clients to participate in federated learning
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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 ...
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...
Dental caries detection using a semi-supervised learning approach
(
Nature Research
, 2023 , Article)
Early diagnosis of dental caries progression can prevent invasive treatment and enable preventive treatment. In this regard, dental radiography is a widely used tool to capture dental visuals that are used for the detection ...
Jamming Detection in IoT Wireless Networks: An Edge-AI Based Approach
(
ACM Digital Library
, 2022 , Conference Paper)
Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. In the era of 5G and beyond, more technologies will be allowed to connect to mobile networks, enabling the Internet ...
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
(
IEEE Computer Society
, 2023 , Article)
In recent years, advancements in machine learning (ML) techniques, in particular, deep learning (DL) methods have gained a lot of momentum in solving inverse imaging problems, often surpassing the performance provided by ...
Privacy-preserving artificial intelligence in healthcare: Techniques and applications
(
Elsevier
, 2023 , Article Review)
There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial ...
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
(
Elsevier
, 2023 , Article)
The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of human beings from scheduling daily activities to personalized shopping recommendations. Since the success of AI is to be ...
Smart Cities from the Perspective of Systems
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MDPI
, 2022 , Article)
Modern cities are complex adaptive systems in which there is a lot of dependency and interaction between the various stakeholders, components, and subsystems. The use of digital Information and Communications Technology ...
Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation
(
MDPI
, 2023 , Article)
Brain tumors are among the deadliest forms of cancer, characterized by abnormal proliferation of brain cells. While early identification of brain tumors can greatly aid in their therapy, the process of manual segmentation ...
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ...