View: List Claim type Research area Organism Taxon as written Decade Paper Method / resource observed original result negative measured Claim · model-written summary
Attention based models reduced classification speed .
classification speed e0 Not reported Comparator Value
Verbatim
e0 “While attention-based models improved accuracy, they also caused reduced classification speed . ”
✓ located verbatim in the source · abstract, characters 1939–2033 Other claims from this paper (8) Method / resource observed original result positive measured Claim · model-written summary
Clustering increased classification speed .
speed with which classification operation is performed e0 Not reported Comparator
Verbatim
e0 “Clustering operation increases the speed with which classification operation is performed ”
✓ located verbatim in the source · abstract, characters 708–797 t0 “Fruit Disease Detection ”
✓ located verbatim in the source · title, characters 0–23 Other claims from this paper (3) Method / resource observed original result positive measured Claim · model-written summary
The system outperformed traditional CNN classification systems in speed and reliability.
speed and reliability e0 traditional CNN classification systems e0 Verbatim
e0 “outperforming traditional CNN classification systems in speed and reliability ”
✓ located verbatim in the source · abstract, characters 750–827 t0 “Coffee Beans ”
✓ located verbatim in the source · title, characters 50–62 Other claims from this paper (2) Method / resource observed original result positive measured Claim · model-written summary
The MobileNet-based model excelled in classification speed (2556 seconds) for rice grains.
speed of classification e2 Verbatim
t0 “rice grain classification ”
✓ located verbatim in the source · title, characters 72–97 e2 “the MobileNet-based model excelled in the speed of classification (2556 seconds) ”
✓ located verbatim in the source · abstract, characters 1125–1205 Other claims from this paper (2) Method / resource observed original result positive measured Claim · model-written summary
Multi-feature fusion classification was relatively higher in speed and accuracy than single-feature classification .
speed and accuracy e0 relatively high e0 single feature classification e0 Verbatim
e0 “Compared with the single feature classification , it is found that the multi-feature fusion classification is relatively high in speed and accuracy ”
✓ located verbatim in the source · abstract, characters 1023–1169 t0 “Tomato ”
✓ located verbatim in the source · title, characters 0–6 Other claims from this paper (3) Method / resource author interpretation original result positive measured Claim · model-written summary
The methods were judged competitive in computational speed and classification accuracy.
computational speed and classification accuracy e0 highly competitive e0 Not reported Comparator Value
Verbatim
e0 “the new methods are highly competitive in terms of computational speed and classification accuracy of future observation. ”
✓ located verbatim in the source · abstract, characters 814–935 Other claims from this paper (3) Method / resource observed original result positive measured Claim · model-written summary
Mean spectra classification outperformed textural features except for three-class classification at higher speed .
Pickling Cucumbers t0 except in the three-class classification for the higher conveyor speed e0 textural feature-based classification e0 Verbatim
e0 “The mean spectra-based classification achieved better results than the textural feature-based classification except in the three-class classification for the higher conveyor speed ”
✓ located verbatim in the source · abstract, characters 1811–1990 t0 “Pickling Cucumbers ”
✓ located verbatim in the source · title, characters 100–118 Other claims from this paper (7) Method / resource observed original result positive measured Claim · model-written summary
The classifier reached a maximum speed of 97fps for tomato ripeness classification .
computation speed e0 Verbatim
e0 “The ripeness classification was performed was performed at a maximum computation speed of 97fps ”
✓ located verbatim in the source · abstract, characters 656–751 t0 “Tomato Ripeness ”
✓ located verbatim in the source · title, characters 10–25 Other claims from this paper (2) Method / resource observed original result positive measured Claim · model-written summary
Classification accuracy was slightly higher at low than high conveyor speed .
Pickling Cucumbers t0 overall classification accuracies e0 slightly higher e0 higher conveyor speed e0 Verbatim
e0 “The overall classification accuracies for all selected waveband ratios at the low conveyor speed were slightly higher than those at the higher conveyor speed ”
✓ located verbatim in the source · abstract, characters 1992–2149 t0 “Pickling Cucumbers ”
✓ located verbatim in the source · title, characters 100–118 Other claims from this paper (7) Intervention effect observed original result no effect measured Claim · model-written summary
Thickness classification did not affect seed vigor and viability after sowing across speed variation.
seeds classification e0 seed vigor and viability e0 does not affect e0 Not reported Comparator
Verbatim
t0 “sunflower ”
✓ located verbatim in the source · title, characters 11–20 e0 “seeds classification does not affect seed vigor and viability after sowing under speed variation ”
✓ located verbatim in the source · abstract, characters 828–924 Other claims from this paper (4) Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.
Oryza sativa
Solanum lycopersicum
Helianthus annuus