Abstract Choosing which recipe to eat and avoid isn’t that simple for anyone. It takes strenuous efforts a lot of time people calculate the number calories P.H level dish. In this paper, we propose an ensemble neural network architecture suggests recipes based on taste person, calorie content recipes. We also bi-directional LSTMs-based variational autoencoder generating new have ensembled three...

Recently, research on the methods that use images captured during day and night times has been actively conducted in field of person re-identification (ReID). In particular, ReID increasingly performed using infrared (IR) at red-green-blue (RGB) images, addition to ReID, which only uses RGB daytime. However, insufficient IR because their color texture information cannot be identified easily. Th...

Ensemble classification is an emerging approach to land cover mapping whereby the final classification output is a result of a ‘consensus’ of classifiers. Intuitively, an ensemble system should consist of base classifiers which are diverse i.e. classifiers whose decision boundaries err differently. In this paper ensemble feature selection is used to impose diversity in ensembles. The features o...

The equilibrium climate sensitivity (ECS) of the two perturbed physics ensembles (PPE) generated using structurally different GCMs, MIROC3.2 and HadSM3, is investigated. We develop a method to quantify the SW cloud feedback by clouds with different cloud top pressure. We find that the difference in the ensemble means of the ECS between the two ensembles is mainly caused by differences in the SW...

Although since 1921 (Vinson, 1921) severe obstruction of the oesophagus has been known to follow vomiting in pregnancy, little is known about the subject, and the significance of a history of vomiting in pregnancy is not always recognized. We record five patients with severe oesophageal obstruction thought to be caused by hyperemesis gravidarum. The poor outlook for spontaneous and complete cur...

Background: Breast cancer is the second leading cause of cancer death in women, after lung cancer. Due to the importance of predicting this disease, the use of data mining methods in medical research is more significant than before. Data mining algorithms can be a great help in preventing the development of lymphedema in patients. The aim Of this study was to create a diagnosis system that can ...

Many writers who entertain the use of subjective probability or credal probability for, among other things, the evaluation of expected values of options in decision problems insist that such credal probability judgments should be determined by the agent’s “available evidence” or “available knowledge”. Notable 20 century examples are H. Jeffreys (1921, 1951), J.M. Keynes (1921), R. Carnap (1950,...

3Mortimer, J. Amer. Chem. Soc., 44, 1416 (1922); 45, 633 (1923). 4 Hildebrand, J. H., and Jenks, C. A., Ibid., 42, 2180 (1920); 43, 2172 (1921); cf. also Ref. 2, p. 148. 5 Dorfman, M., and Hildebrand, J. H., Ibid., 49, 729 (1927). 6 Cf. Hildebrand, J. H., and Glasscock, B. L., Ibid., 31, 26 (1909). 7 Porter, A. W., Trans. Faraday Soc., 16, 336 (1921). 8 Cf. Ref. 2, p. 48. 9 Taylor, N. W., J. Am...

New records of four species (Lema lacertosa Lacordaire, 1845, Lema diversipes Pic, 1921, Lema cyanella (Linnaeus, 1758), Lema trivittata trivittata Say, 1824 and additional information on one recently recorded species (Lema solani Fabricius, 1798) are reported for Taiwan. Lema diversipes Pic, 1921 is removed from synonymy with Lema lacertosa Lacordaire, 1845; both species are redescribed. A lec...