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Browsing Interdisciplinary & Smart Design by Publication Date 
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  • Browsing Interdisciplinary & Smart Design by Publication Date
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    Browsing Interdisciplinary & Smart Design by Publication Date

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        The similarity-aware relational intersect database operator 

        Al Marri, Wadha J.; Malluhi, Qutaibah; Ouzzani, Mourad; Tang, Mingjie; Aref, Walid G. ( Springer International Publishing , 2014 , Conference)
        Identifying similarities in large datasets is an essential operation in many applications such as bioinformatics, pattern recognition, and data integration. To make the underlying database system similarity-aware, the core ...
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        Using the Sadakane compressed suffix tree to solve the all-pairs suffix-prefix problem 

        Rachid, Maan Haj; Malluhi, Qutaibah; Abouelhoda, Mohamed ( Hindawi , 2014 , Article)
        The all-pairs suffix-prefix matching problem is a basic problem in string processing. It has an application in the de novo genome assembly task, which is one of the major bioinformatics problems. Due to the large size of ...
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        A Practical and Scalable Tool to Find Overlaps between Sequences 

        Rachid, Maan Haj; Malluhi, Qutaibah ( Hindawi , 2015 , Article)
        The evolution of the next generation sequencing technology increases the demand for efficient solutions, in terms of space and time, for several bioinformatics problems. This paper presents a practical and easy-to-implement ...
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        Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors 

        Abbas, Mostafa M.; Mohie-Eldin, Mostafa M.; El-Manzalawy, Yasser ( Public Library of Science , 2015 , Article)
        As the number of sequenced bacterial genomes increases, the need for rapid and reliable tools for the annotation of functional elements (e.g., transcriptional regulatory elements) becomes more desirable. Promoters are the ...
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        A scalable solution for finding overlaps between sequences using map-reduce 

        Haj Rachid, Maan; Malluhi, Qutaibah M. ( 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 ...
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        Privacy preserving computation in cloud using noise-free fully homomorphic encryption (FHE) schemes 

        Wang, Yongge; Malluhi, Qutaibah M. ( Springer Verlag , 2016 , Conference)
        With the wide adoption of cloud computing paradigm, it is important to develop appropriate techniques to protect client data privacy in the cloud. Encryption is one of the major techniques that could be used to achieve ...
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        Skyline Discovery and Composition of Multi-Cloud Mashup Services 

        Zhang, Fan; Hwang, Kai; Khan, Samee U.; Malluhi, Qutaibah M. ( Institute of Electrical and Electronics Engineers , 2016 , Article)
        A cloud mashup is composed of multiple services with shared datasets and integrated functionalities. For example, the elastic compute cloud (EC2) provided by Amazon Web Service (AWS), the authentication and authorization ...
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        Similarity Group-by Operators for Multi-Dimensional Relational Data 

        Tang, Mingjie; Tahboub, Ruby Y.; Aref, Walid G.; Atallah, Mikhail J.; Malluhi, Qutaibah M.; Ouzzani, Mourad; Silva, Yasin N.... more authors ... less authors ( IEEE Computer Society , 2016 , Conference)
        The SQL group-by operator plays an important role in summarizing and aggregating large datasets in a data analytics stack. While the standard group-by operator, which is based on equality, is useful in several applications, ...
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        FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface Residues 

        EL-Manzalawy, Yasser; Abbas, Mostafa; Malluhi, Qutaibah; Honavar, Vasant ( Public Library of Science (PLoS) , 2016 , Article)
        A wide range of biological processes, including regulation of gene expression, protein synthesis, and replication and assembly of many viruses are mediated by RNA-protein interactions. However, experimental determination ...
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        Using Sparse Matrices to Prevent Information Leakage in Cloud Computing 

        Khan K.; Shaheen M.; Wang Y. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference)
        Cloud computing represents the promise of outsourcing of scientific computing such as matrix multiplication. However, this can introduce new vulnerabilities such as information leakage. Cloud server intentionally or ...
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        Adopting formal verification and model-based testing techniques for validating a blockchain-based healthcare records sharing system 

        Jabbar, Rateb; Krichen, Moez; Fetais, Noora; Barkaoui, Kamel ( SciTePress , 2020 , Conference)
        The Electronic Health Records (EHR) sharing system is the modern tool for delivering efficient healthcare to patients. Its functions include tracking of therapies, monitoring of the treatment effectiveness, prediction of ...
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        Bringing Coordination Languages Back to the Future Using Blockchain Smart Contracts 

        Hammoudeh, Mohammad; Adebisi, Bamidele; Unal, Devrim; Laouid, Abdelkader ( Association for Computing Machinery , 2021 , Conference)
        This paper presents a blockchain extension of the run-time Sensing as a Service SOA (3SOA) approach presented in [5]. 3SOA defines a practical approach for implementing service-oriented Internet of Things (IoT) using ...
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        Virtual reality for ambulance simulation environment 

        Halabi, O.; Salahuddin, T.; Karkar, A.G.; Alinier, G. ( Springer , 2022 , Article)
        Simulations are beneficial in evaluating clinicians' empirical competencies through practical skills, prioritizing, and decision-making as part of patient care scenarios generally run in a full-scale physical context. ...
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        Towards robust autonomous driving systems through adversarial test set generation 

        Unal, Devrim; Catak, Ferhat Ozgur; Houkan, Mohammad Talal; Mudassir, Mohammed; Hammoudeh, Mohammad ( ISA - Instrumentation, Systems, and Automation Society , 2023 , Article)
        Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ...
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        Class-incremental Learning for Time Series: Benchmark and Evaluation 

        Qiao, Zhongzheng; Pham, Quang; Cao, Zhen; Le, Hoang H.; Suganthan, P. N.; Jiang, Xudong; Ramasamy, Savitha... more authors ... less authors ( Association for Computing Machinery (ACM) , 2024 , Conference Proceedings)
        Real-world environments are inherently non-stationary, frequently introducing new classes over time. This is especially common in time series classification, such as the emergence of new disease classification in healthcare ...
      • Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics 

        Hui, Yu; Gao, Kaizhou; Li, Zhiwu; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)
        This study addresses energy-efficient multi-objective distributed assembly permutation flowshop scheduling problems with minimisation of maximum completion time, mean of earliness and tardiness, and total carbon emission ...
      • Constrained large-scale multiobjective optimization based on a competitive and cooperative swarm optimizer 

        Jinlong, Zhou; Zhang, Yinggui; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)
        Many engineering application problems can be modeled as constrained multiobjective optimization problems (CMOPs), which have attracted much attention. In solving CMOPs, existing algorithms encounter difficulties in balancing ...
      • A staged fuzzy evolutionary algorithm for constrained large-scale multiobjective optimization 

        Jinlong, Zhou; Zhang, Yinggui; Yu, Fan; Yang, Xu; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)
        Constrained multiobjective optimization problems (CMOPs) are prevalent in practical applications, where constraints play a significant role. Building on techniques from constrained single-objective optimization, classical ...
      • An archive-assisted multi-modal multi-objective evolutionary algorithm 

        Peng, Chen; Li, Zhimeng; Qiao, Kangjia; Suganthan, P.N.; Ban, Xuanxuan; Yu, Kunjie; Yue, Caitong; Liang, Jing... more authors ... less authors ( Elsevier , 2024 , Article)
        The multi-modal multi-objective optimization problems (MMOPs) pertain to characteristic of the decision space that exhibit multiple sets of Pareto optimal solutions that are either identical or similar. The resolution of ...
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        Vanilla Gradient Descent for Oblique Decision Trees 

        Panda, Subrat Prasad; Genest, Blaise; Easwaran, Arvind; Suganthan, Ponnuthurai Nagaratnam ( IOS Press , 2024 , Conference)
        Decision Trees (DTs) constitute one of the major highly non-linear AI models, valued, e.g., for their efficiency on tabular data. Learning accurate DTs is, however, complicated, especially for oblique DTs, and does take a ...

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