Browsing KINDI Center for Computing Research by Title
Now showing items 85-104 of 178
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Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
( Elsevier , 2021 , Article)Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ... -
Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a classification method is presented using an Fuzzy Inference Engine to detect the incidences of pre-seizures in real/raw Epilepsy data. The system distinguishes between 'Normal', 'Pre-Seizure' and 'Seizure' ... -
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
( National Science Foundation , 2022 , Other)Artificial Intelligence (Al) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as Al is used increasingly in real world use cases, the importance of the ... -
Intrusion Detection System for Healthcare Systems Using Medical and Network Data: A Comparison Study
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Introducing IoT systems to healthcare applications has made it possible to remotely monitor patients' information and provide proper diagnostics whenever needed. However, providing high-security features that guarantee the ... -
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization
( Elsevier Inc. , 2023 , Article)Many real-life problems can be formulated as numerical optimization problems. Such problems pose a challenge for researchers when designing efficient techniques that are capable of finding the desired solution without ... -
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
( Elsevier Ltd , 2022 , Article)Randomized neural networks have become more and more attractive recently since they use closed-form solutions for parameter training instead of gradient-based approaches. Among them, the random vector functional link network ... -
Lightweight KPABE Architecture Enabled in Mesh Networked Resource-Constrained IoT Devices
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) environments are widely employed in industrial applications including intelligent transportation systems, healthcare systems, and building energy management systems. For such environments of highly ... -
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
( Frontiers Media S.A. , 2020 , Article)Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. In this paper, we present ... -
Machine learning for the security of healthcare systems based on Internet of Things and edge computing
( Elsevier , 2022 , Book chapter)Using the Internet of Medical Things (IoMT) for treatment and diagnosis has exponentially grown due to its diverse use cases and efficient planning with defined resources. IoMT in the e-healthcare system enables continuous ... -
Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
( Elsevier , 2024 , Article)Mobile devices have become an essential element in our day-to-day lives. The chances of mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting vulnerabilities from devices as well as ... -
Minimizing energy consumption of IoT devices for O-RAN based IoT systems
( Elsevier , 2023 , Article)The implementation of Open Radio Access Network (O-RAN) architecture in Internet of Things (IoT) systems has garnered significant attention as a means to fulfill the stringent requirements of ultra-low latency and ultra-low ... -
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)A teacher in a school plays significant role in classroom while teaching the students. Similarly, learning via privileged information (LUPI) gives extra information generated by a teacher to 'teach' the learning algorithm ... -
MLP Neural Network Based Gas Classification System on Zynq SoC
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Systems based on wireless gas sensor networks offer a powerful tool to observe and analyze data in complex environments over long monitoring periods. Since the reliability of sensors is very important in those systems, gas ... -
Monitoring DVT cuffs for long-term operation: A fuzzy approach
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Stroke patients, as well as all those patients who are bed-bound for a long period of time are highly susceptible to deep vein thrombosis (DVT) as secondary complexity. DVT poses more dangers of a loose blood clot obstructing ... -
Multi-moth flame optimization for solving the link prediction problem in complex networks
( Springer Verlag , 2019 , Article)Providing a solution for the link prediction problem attracts several computer science fields and becomes a popular challenge in researches. This challenge is presented by introducing several approaches keen to provide the ... -
Multi-Objective Security Hardening Optimisation for Dynamic Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Hardening the dynamic networks is a very challenging task due to their complexity and dynamicity. Moreover, there may be multi-objectives to satisfy, while containing the solutions within the constraints (e.g., fixed budget, ... -
Oblique and rotation double random forest
( Elsevier Ltd , 2022 , Article)Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among them are the ensemble models’ core strength. ... -
Optimal sizing of a stand-alone hybrid PV-WT-BT system using artificial intelligence based technique
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Nowadays, conventional energy system is being replaced by renewable energy system. Especially, PV systems and wind energy systems are gaining much attention due to their future sustainability and eco-friendly nature. ... -
Optimizing Energy-Distortion Trade-off for Vital Signs Delivery in Mobile Health Applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Healthcare is considered a top priority worldwide, considering the swift increase in the number of chronic patients who require continuous monitoring. This motivates the researchers to develop scalable remote health ... -
Paillier's encryption: Implementation and cloud applications
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Paillier's additive homomorphic encryption is increasingly used in recent research in the field of cloud secure outsourcing and privacy-preserving computation in addition to other cryptographic tools such as garbled circuits. ...