Attention-aware upsampling-downsampling network for autonomous vehicle vision-based multitask perception by Chongjun Liu, Haobo Zuo, Jianjun Yao, Yuchen Li, Frank Jiang

“…However, the traditional unidirectional feature flow in many perception networks often leads to inadequate information propagation, which hinders the system’s ability to comprehensively perceive complex driving environments. …”
Get full text

GPS/VIO integrated navigation system based on factor graph and fuzzy logic by M. M. Karimi, M. R. Mosavi

“…Additionally, it proposes a novel technique for motion estimation and feature extraction, called Adaptive Feature-Flow Fusion, which facilitates robust performance in environments with both high- and low-feature content. …”
Get full text

YOLO-AMM: A Real-Time Classroom Behavior Detection Algorithm Based on Multi-Dimensional Feature Optimization by Yi Cao, Qian Cao, Chengshan Qian, Deji Chen

“…Then, we designed a Multi-dimensional Feature Flow Network (MFFN), which fuses multi-dimensional features and enhances the correlation information between features through the multi-scale feature aggregation module and contextual information diffusion mechanism. …”
Get full text

Effects of Fiber Arrangement on Flow Characteristics Along a Four-Fiber Element of Fiber Extractors by Oluwaseyi O. Ayeni, Holly A. Stretz, Ahmad Vasel-Be-Hagh

“…Following previous modeling featuring flow around only one fiber, the goal was to understand how variations in inter-fiber distances affect the phase structures of a corn oil/water mixture, the steady-state interfacial surface area per unit of fluid volume, and the pressure drop along the flow direction. …”
Get full text

Handling Heterogeneous Traffic  for Software Defined Data-Center Network Using Spike Neural Network by Sanarya Jamal AL-Azawee, Nadia Adnan Shiltagh Al-Jamali

“…The classifier approach uses three features: flow time, byte rate, and packet rate. The SSNN is then taught to categorize the traffic into two classes. …”
Get full text