Browsing KINDI Center for Computing Research by Title
Now showing items 1-20 of 272
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3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)This paper proposes a novel hybridization of two metaheuristic algorithms to solve the real-parameter single objective numerical optimization problems. The proposed Three-stage Cyclic Hybrid SFS and L-SHADE (3-sCHSL) ... -
A Blockchain-Based Security Scheme for Vehicular Ad Hoc Networks in Smart Cities
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)The development of Vehicular Ad Hoc Networks (VANET) has brought many advantages to facilitate the deployment of the Intelligent Transportation System (ITS). However, without proper protection, VANETs can be vulnerable to ... -
A cultural evolution with a modified selection function and adaptive α-cognition procedure for numerical optimization
( Elsevier , 2023 , Article)In recent years, several population-based evolutionary and swarm algorithms have been developed and used in the literature. This work introduces an improved Cultural Algorithm with a modified selection function and a dynamic ... -
A Domain Specific Language for Secure Outsourcing of Computation to the Cloud
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)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 Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The flowshop sequence-dependent group scheduling problem (FSDGSP) with the production efficiency measures has been extensively studied due to its wide industrial applications. However, energy efficiency indicators are often ... -
A model driven framework for secure outsourcing of computation to the cloud
( IEEE Computer Society , 2014 , Conference)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 ... -
A new technique for compacting secret key in attribute-based broadcast encryption
( Springer Verlag , 2016 , Conference)Public-key encryption has been generalized to adapt to more and more practical applications. Broadcast encryption, introduced by Fiat and Naor in 1993, aims for applications in pay-TV or satellite transmission and allows ... -
A novel multi-hop body-To-body routing protocol for disaster and emergency networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)In this paper, a new multi-hop routing protocol (called ORACE-Net) for disaster and emergency networks is proposed. The proposed hierarchical protocol creates an ad-hoc network through body-To-body (B2B) communication ... -
A Practical Universal Consortium Blockchain Paradigm for Patient Data Portability on the Cloud Utilizing Delegated Identity Management
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)This paper presents a blockchain system that exploits the base modular features of the Hyperledger Fabric framework to allow for a new, patient-centric, practical data portability paradigm. The system empowers patients by ... -
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption
( Elsevier , 2023 , Article)A distributed permutation flowshop scheduling problem (DPFSP) with peak power consumption is addressed in this work. The instantaneous energy consumption of each factory cannot exceed a threshold. First, a mathematical ... -
A Reconfigurable Multipurpose SoC Mobile Platform for metal detection
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference)Background and Objectives One of the key problems in mobile robotics is the ability to understand and analyze the surrounding environment in a useful way. This is especially important in dangerous applications where human ... -
A resource provisioning framework for bioinformatics applications in multi-cloud environments
( Elsevier , 2018 , Article)The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of several gigabytes of raw data in a single sequencing run. This amount of raw data introduces new scalability challenges in ... -
A scalable solution for finding overlaps between sequences using map-reduce
( The International Society for Computers and Their Applications (ISCA) , 2016 , Conference)The overlap stage of a string graph-based assembler is considered one of the most time- and space-consuming stages in any de novo overlap-based assembler. This is due to the huge output of the next-generation sequencing ... -
A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)This paper presents a Sensing-as-a-Service run-time Service Oriented Architecture (SOA), called 3SOA, for the development of Internet of Things (IoT) applications. 3SOA aims to allow interoperability among various IoT ... -
A spectral-ensemble deep random vector functional link network for passive brain-computer interface
( Elsevier , 2023 , Article)Randomized neural networks (RNNs) have shown outstanding performance in many different fields. The superiority of having fewer training parameters and closed-form solutions makes them popular in small datasets analysis. ... -
A Two-Stage Evolutionary Framework for Multi-Objective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)In the field of evolutionary multi-objective optimization, the approximation of the Pareto front (PF) is achieved by utilizing a collection of representative candidate solutions that exhibit desirable convergence and ... -
Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm
( Elsevier , 2024 , Article)The determination of photovoltaic (PV) model parameters has essential theoretical and practical significance for the performance evaluation, power monitoring, and power generation efficiency calculation of PV systems. In ... -
Active Computing Toward 5G Internet of Things
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The Internet of Things (IoT) contains enormous computing resources. How to fully and efficiently use computing power is a very important research issue. This article proposes an active computing (AC) concept toward IoT. ... -
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)This paper focuses on a significant yet challenging task: out-of-distribution detection (OOD detection), which aims to distinguish and reject test samples with semantic shifts, so as to prevent models trained on in-distribution ... -
Adaptive Scaling for U-Net in Time Series Classification
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)Convolutional Neural Networks such as U-Net are recently getting popular among researchers in many applications, such as Biomedical Image Segmentation. U-Net is one of the popular deep Convolutional Neural Networks which ...
