scholarly journals Adversarial Media-fusion Approach to Strain Prediction for Bridges

2019 ◽  
Author(s):  
Takaya Kawakatsu ◽  
Kenro Aihara ◽  
Atsuhiro Takasu ◽  
Jun Adachi
Keyword(s):  
Fusion Approach

Procuring cooperative intelligence in autonomous vehicles for object detection through data fusion approach

2020 ◽  
Vol 14 (11) ◽  
pp. 1410-1417 ◽  
Author(s):  
Alfred Daniel ◽  
Karthik Subburathinam ◽  
Bala Anand Muthu ◽  
Newlin Rajkumar ◽  
Seifedine Kadry ◽  
...  
Keyword(s):  
Data Fusion ◽  
Object Detection ◽  
Autonomous Vehicles ◽  
Fusion Approach

A multi-source data fusion approach to assess spatial-temporal variability and delineate homogeneous zones: A use case in a table grape vineyard in Greece

2019 ◽  
Vol 684 ◽  
pp. 155-163 ◽  
Author(s):  
Evangelos Anastasiou ◽  
Annamaria Castrignanò ◽  
Konstantinos Arvanitis ◽  
Spyros Fountas
Keyword(s):  
Data Fusion ◽  
Temporal Variability ◽  
Table Grape ◽  
Use Case ◽  
Source Data ◽  
Fusion Approach

scholarly journals A Wavelet-CNN Feature Fusion Approach for Detecting COVID-19 from Chest Radiographs

2020 ◽  
Author(s):  
Md. Latifur Rahman ◽  
Nusrat Binta Nizam ◽  
Prasun Datta ◽  
Md. Moynul Hasan ◽  
Taufiq Hasan ◽  
...  
Keyword(s):  
Feature Fusion ◽  
Chest Radiographs ◽  
Fusion Approach

scholarly journals Manufacture of all-wood sawdust-based particle board using ionic liquid-facilitated fusion process

2021 ◽  
Vol 55 (2) ◽  
pp. 331-349
Author(s):  
Hannes Orelma ◽  
Atsushi Tanaka ◽  
Maija Vuoriluoto ◽  
Alexey Khakalo ◽  
Antti Korpela
Keyword(s):  
Tensile Strength ◽  
Ionic Liquid ◽  
Raw Materials ◽  
Weight Ratio ◽  
Fusion Process ◽  
The Novel ◽  
Particle Board ◽  
Microscopy Technique ◽  
Twin Screw ◽  
Fusion Approach

AbstractTraditional particle board can generate harmful indoor air emissions due to the volatile resin-based compounds present. This study investigated the preparation of sawdust particle board using the novel ionic liquid based fusion approach with [EMIM]OAc. The dissolution parameters were investigated using the thermal optical microscopy technique. The particle board sheets were prepared by hot pressing sawdust in the presence of ionic liquid (IL) ([EMIM]OAc) and subsequently purifying the fusion sawdust matrix from the IL with methanol. The fusion process of the sawdust particles was analysed with SEM and mechanical testing. The raw materials and the produced materials were investigated with elemental analysis, FTIR, and 13C-SS-NMR. IL fusion of the sawdust required a temperature above 150 °C, similar to the glass transition temperature (tg) of lignin. At lower temperatures, strong particle fusion was not obtained. It was observed that the sawdust/IL weight ratio was an important parameter of the fusion process, and a 1:3 weight ratio resulted in the strongest particle boards with a tensile strength of up to 10 MPa, similar to commercial particle boards. The particle fusion process was also studied with a twin-screw extruder. The extrusion enhanced the fusion of the sawdust particles by increasing dissolution of the sawdust particles, which was subsequently seen in elevated tensile strength (20 MPa). The study provides a practical view of how sawdust-based particle board can be manufactured using ionic liquid-based fusion.

scholarly journals A tongue features fusion approach to predicting prediabetes and diabetes with machine learning

2021 ◽  
Vol 115 ◽  
pp. 103693
Author(s):  
Jun Li ◽  
Pei Yuan ◽  
Xiaojuan Hu ◽  
Jingbin Huang ◽  
Longtao Cui ◽  
...  
Keyword(s):  
Machine Learning ◽  
Features Fusion ◽  
Fusion Approach
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