تصفح Interdisciplinary & Smart Design حسب العنوان
السجلات المعروضة 1 -- 20 من 45
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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 ... -
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 ... -
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 ... -
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 ... -
An archive-assisted multi-modal multi-objective evolutionary algorithm
( 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 ... -
Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors
( 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 ... -
Auxiliary population-assisted differential evolution for multi-area economic dispatch considering valve point effects
( Elsevier , 2025 , Article)Multi-area economic dispatch (MAED) is an indispensable task in the power system's operation. Nevertheless, the valve point effects of generating units make the problem highly nonlinear and non-convex. In this paper, a ... -
Beyond a single solution: Liquefied natural gas process optimization using niching-enhanced meta-heuristics
( Elsevier , 2025 , Article)The escalating global energy demand and the imperative to mitigate climate change necessitate optimizing the natural gas liquefaction process to enhance energy efficiency, reduce costs, and improve sustainability. Traditional ... -
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 ... -
Class-incremental Learning for Time Series: Benchmark and Evaluation
( Association for Computing Machinery (ACM) , 2024 , Conference)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 ... -
Constrained large-scale multiobjective optimization based on a competitive and cooperative swarm optimizer
( 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 Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile Systems
( Institute of Electrical and Electronics Engineers (IEEE) , 2024 , Conference)With the exponential growth of mobile applications, Android systems have become a significant source of big data which provides both vast opportunities and substantial privacy challenges. This makes it essential to adopt ... -
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 ... -
Drone on-demand delivery routing problem considering order splitting and battery swapping
( Elsevier , 2025 , Article)The use of drone delivery has catalyzed technological innovation within the logistics industry. This delivery mode can reduce on-demand delivery times by up to 50 %, while also significantly lowering labor costs and ... -
Dynamic economic dispatch of multi-area wind-solar-thermal power systems with fractional order comprehensive learning differential evolution
( Elsevier , 2025 , Article)The significance of multi-area dynamic economic dispatch (MADED) is amplified by the integration of wind and solar energy sources which introduces considerable fluctuations. In this work, a MADED model incorporating wind ... -
Economic emission dispatch of power systems considering uncertainty of wind-solar-hydro with fractional order multi-objective differential evolution
( Elsevier , 2025 , Article)The integration of renewable energy brings significant uncertainty to the operation of power systems. Multi-objective economic emission dispatch (MOEED) becomes an important way to reduce operating costs and emissions under ... -
Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics
( 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 ... -
Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)As the global economy develops and people's awareness of environmental protection increases, the efficient scheduling of production lines in workshops has received more and more attention. However, there is very little ... -
Ensemble deep learning for Alzheimer’s disease characterization and estimation
( Springer Nature , 2024 , Article)Alzheimer’s disease, which is characterized by a continual deterioration of cognitive abilities in older people, is the most common form of dementia. Neuroimaging data, for example, from magnetic resonance imaging and ... -
FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface Residues
( 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 ...
