Interdisciplinary & Smart Design: Recent submissions
Now showing items 21-40 of 45
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High frequency volatility forecasting and risk assessment using neural networks-based heteroscedasticity model
( Elsevier , 2025 , Article)High frequency volatility forecasting is essential for timely risk management and informed decision-making in dynamic financial markets. However, accurate forecasting is challenging due to the rapid nature of market movements ... -
Differential evolution-based mixture distribution models for wind energy potential assessment: A comparative study for coastal regions of China
( Elsevier , 2025 , Article)Mixture distributions generally have higher flexibility than single distributions in describing wind speeds. However, the determination of their components is critical. This work evaluates suitable distributions for the ... -
A Reinforced Neighborhood Search Method Combined With Genetic Algorithm for Multi-Objective Multi-Robot Transportation System
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)With the rapid advancement of artificial intelligence, autonomous multi-robot systems have been successfully applied to various domains. Therefore, developing intelligent routing and scheduling systems to efficiently ... -
An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems
( Elsevier , 2025 , Article)Large-scale constrained multiobjective optimization problems (LSCMOPs) refer to constrained multiobjective optimization problems (CMOPs) with large-scale decision variables. When using evolutionary algorithms to solve ... -
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 ... -
Your data is not perfect: Towards cross-domain out-of-distribution detection in class-imbalanced data
( Elsevier , 2024 , Article)Out-of-distribution detection (OOD detection) aims to detect test samples drawn from a distribution that is different from the training distribution, in order to prevent models trained on in-distribution (ID) data from ... -
A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework
( Elsevier , 2025 , Article)In recent years, multi-objective optimization has garnered significant attention from researchers. Evolutionary algorithms are proven to be highly effective in solving complex optimization problems in plenty of cases. ... -
Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier
( Elsevier , 2025 , Article)Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that involves gradual memory loss and eventually leads to severe cognitive decline at the final stage. Advanced neuroimaging modalities, including magnetic ... -
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation
( Elsevier , 2025 , Article)Wave energy, a promising renewable energy source, has the potential to diversify the global energy mix significantly. Accurate forecasting of significant wave height (SWH) is crucial for enhancing the efficiency and ... -
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)Underwater acoustic signal (UAS) denoising is crucial for enhancing the reliability of underwater communication and monitoring systems by mitigating the effects of noise and improving signal clarity. The complex and dynamic ... -
Smoking induced salivary microbiome dysbiosis and is correlated with lipid biomarkers
( Springer Nature , 2024 , Article)Background: The oral microbiome plays an essential role in maintaining oral homeostasis and health; smoking significantly affects it, leading to microbial dysbiosis. The study aims to investigate changes in the oral ... -
Bringing Coordination Languages Back to the Future Using Blockchain Smart Contracts
( 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 ... -
Towards robust autonomous driving systems through adversarial test set generation
( 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 ... -
Adopting formal verification and model-based testing techniques for validating a blockchain-based healthcare records sharing system
( 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 ... -
Virtual reality for ambulance simulation environment
( 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. ... -
Skyline Discovery and Composition of Multi-Cloud Mashup Services
( 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 ... -
Privacy preserving computation in cloud using noise-free fully homomorphic encryption (FHE) schemes
( 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 ... -
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 ... -
Similarity Group-by Operators for Multi-Dimensional Relational Data
( 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, ... -
Using Sparse Matrices to Prevent Information Leakage in Cloud Computing
( 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 ...
