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Artificial Intelligence‐Driven Traffic Flow Forecasting and Spatial Road Operation Risk Assessment

Applied Research, Volume 5, Issue 5, October 2026.
The AGWN TF framework integrates adaptive graph‐based spatiotemporal forecasting with explicit temporal feature fusion for multistep traffic flow prediction and spatial road operation assessment. The framework improves forecasting performance, particularly at middle and longer prediction horizons, while the proposed Road Operation Risk Index converts ...
Yifei Zhu, Tongyao Jin, Hanzheng Sun
wiley   +1 more source

Robust and Efficient Dual-Strategy Switch Migration for Failure Recovery in Software-Defined Satellite Networks. [PDF]

Sensors (Basel)
Xu S, Yin Z, Huang M, Xing L.
europepmc   +1 more source

Bayesian convolutional front-end based uncertainty-aware hybrid quantum-classical image classification. [PDF]

Sci Rep
Wang C, Huang C, Fan Y, Fan X, Ma H.
europepmc   +1 more source

TOMOC: a topology-driven multi-objective evolutionary framework for robust overlapping protein complex detection in noisy PPI networks. [PDF]

BMC Bioinformatics
Abbas M, Broneske D, Saake G.
europepmc   +1 more source

Bio-Inspired Energy-Efficient Routing for Wireless Sensor Networks Based on Honeybee Foraging Behavior and MDP-Driven Adaptive Scheduling. [PDF]

Biomimetics (Basel)
Chen F, Wu X, Qi W, Wang Z, Wang Z, Li P.   +5 more
europepmc   +1 more source

The two dragons of cognition: recursive condensation for predictive processing. [PDF]

Front Comput Neurosci
Li X.
europepmc   +1 more source

A Risk-Reduction Approach to Roadway Infrastructure Adaptation Prioritization for Improved Public Protection. [PDF]

Risk Anal
Zare A, Miller-Hooks E.
europepmc   +1 more source

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Topology optimization based deterministic lateral displacement array design for cell separation

Journal of Chromatography A, 2022
Circulating tumor cell (CTC) can be used to guide cancer theranostics. How to isolate efficiently CTCs from blood owns great clinical requirement. Deterministic lateral displacement (DLD) is a pillar-array-based effective passive microfluidic method to separate cells based on their sizes. DLD is a potential CTC isolation tool.
Jiaqi Niu, Daxiang Cui
exaly   +4 more sources

A Comparison of Deterministic, Reliability-Based Topology Optimization under Uncertainties

Acta Mechanica Solida Sinica, 2016
Reliability and optimization are two key elements for structural design. The reliability-based topology optimization (RBTO) is a powerful and promising methodology for finding the optimum topologies with the uncertainties being explicitly considered, typically manifested by the use of reliability constraints.
Qinghai Zhao, Zhengdong Ma, Xiaokai Chen   +2 more
exaly   +3 more sources

Deterministic versus reliability-based topology optimization of aeronautical structures

Structural and Multidisciplinary Optimization, 2015
Aircraft design is a challenging process which is constantly looking for developing new and lighter structural components. The application of topology optimization techniques is growing widespread in the aeronautical industry as it has proven to be highly useful for saving important weight amounts in recent aircraft designs.
Aitor Baldomir, Santiago Hernández, Carlos Lopez   +2 more
exaly   +3 more sources