KINDI Center for Computing Research: Recent submissions
Now showing items 61-80 of 178
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An enhanced ensemble deep random vector functional link network for driver fatigue recognition
( Elsevier , 2023 , Article)This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL ... -
A Domain Specific Language for Secure Outsourcing of Computation to the Cloud
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Secure outsourcing of computation has gained importance with the proliferation of cloud services. However, existing outsourcing protocol specification languages are mainly suitable for secure multi-party computation. They ... -
A model driven framework for secure outsourcing of computation to the cloud
( IEEE Computer Society , 2014 , Conference Paper)This paper presents a model driven approach to define then coordinate the execution of protocols for secure outsourcing of computation of large datasets in cloud computing environments. First we present our Outsourcing ... -
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. ... -
Reasoning about security policies of services using answer set programming
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, we propose a formal framework for checking the consistency of security policies of services using Answer Set Programming (ASP). We illustrate that the formalisation of security policies of the service providers ... -
Automatic generation of optimized workflow for distributed computations on large-scale matrices
( Springer Verlag , 2014 , Conference Paper)Efficient evaluation of distributed computation on large-scale data is prominent in modern scientific computation; especially analysis of big data, image processing and data mining applications. This problem is particularly ... -
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 ... -
Automatic variable reduction
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ... -
An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Real-life problems can be expressed as optimization problems. These problems pose a challenge for researchers to design efficient algorithms that are capable of finding optimal solutions with the least budget. Stochastic ... -
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Reservoir Computing (RC) is well-suited for simpler sequential tasks which require inexpensive, rapid training, and the Echo State Network (ESN) plays a significant role in RC. In this article, we proposed variations of ... -
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Since situation awareness (SA) plays an important role in many fields, the measure of SA is one of the most concerning problems. Using physiological signals to evaluate SA is becoming a popular research topic because of ... -
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
( National Science Foundation , 2022 , Article Review)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 ... -
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Effective constraint handling techniques (CHTs) are of great significance for evolutionary algorithms (EAs) dealing with constrained optimization problems (COPs). To date, many CHTs, such as penalty function, superiority ... -
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Deep learning for electroencephalogram-based classification is confronted with data scarcity, due to the time-consuming and expensive data collection procedure. Data augmentation has been shown as an effective way to improve ... -
Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The collaboration of drones and trucks for last-mile delivery has attracted much attention. In this paper, we address a collaborative routing problem of the truck-drone system, in which a truck collaborates with multiple ... -
Wireless Network Slice Assignment with Incremental Random Vector Functional Link Network
( IEEE Computer Society , 2022 , Article)This paper presents an artificial intelligence-assisted network slice prediction method, which utilizes a novel incremental random vector functional link (IRVFL) network to deal with the wireless network slice assignment ... -
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 ... -
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Time series forecasting remains a challenging task in data science while it is of great relevance to decision-making in various industries such as transportation, finance, electricity resource management, meteorology. ... -
Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering
( Elsevier Ltd , 2022 , Article)Random Vector Functional Link (RVFL) Networks have received a lot of attention due to the fast training speed as the non-iterative solution characteristic. Currently, the main research direction of RVFLs has supervised ... -
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. ...
