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Published in 2025 at "AIP Advances"
DOI: 10.1063/5.0302000
Abstract: Multiple factors influence carbon emission factors, resulting in high-dimensional data characteristics. Simultaneously, real-world data often contain noise that complicates data processing. To address these challenges, a multi-constraint control algorithm incorporating nonlinear causal inference and knowledge…
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Keywords:
carbon;
constraint control;
multi constraint;
emission ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3589363
Abstract: Electric vehicles (EVs) have become essential tools in the worldwide shift to sustainable transportation, driven by advances in battery technology, charging infrastructure, and routing algorithms. This paper presents a comprehensive investigation of the emerging EV…
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Keywords:
integration;
infrastructure;
vehicle;
multi constraint ... See more keywords
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Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3240253
Abstract: Clustering cells into subgroups plays a critical role in single cell-based analyses, which facilitates to reveal cell heterogeneity and diversity. Due to the ever-increasing scRNA-seq data and low RNA capture rate, it has become challenging…
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Keywords:
seq data;
cell;
single cell;
constraint ... See more keywords
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Published in 2025 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2025.3575271
Abstract: Advancements in Vehicular Ad-Hoc Networks (VANETs) are crucial for the next generation of intelligent transportation systems. Addressing the complexities of routing and clustering in these networks, our research introduces the Multi-constraint Routing Mechanism using Hybridization…
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Keywords:
constraint;
vehicular hoc;
hoc networks;
multi constraint ... See more keywords
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Published in 2019 at "Journal of Telecommunications and Information Technology"
DOI: 10.26636/jtit.2019.127818
Abstract: This paper presents a fuzzy logic-based, service differentiated, QoS aware routing protocol (FMSR) offering multipath routing for WSNs, with the purpose of providing a service differentiated path meant for communication between nodes, based on actual…
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Keywords:
fuzzy clustering;
clustering multi;
multi constraint;
constraint qos ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14135730
Abstract: The three-dimension (3D) inversion of magnetic data is an effective method of recovering underground magnetic susceptibility distributions using magnetic anomaly data. The conventional regularization inversion method has good data fitting; however, its inversion model has…
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Keywords:
deep learning;
method;
multi constraint;
model ... See more keywords