… Owing to the defects of the aforementioned methods, this study uses four optimization
algorithms (firefly algorithm, genetic algorithm, ant colony algorithm. And cuckoo search algorithm) …

… In this study, we developed a deep-learning-based artificial intelligence algorithm, DAHF,
for predicting the mortality of patients with AHF using two hospital datasets and validated …

… 2 we describe deep learning and other artificial intelligence algorithms. In Sec. 3 we
describe the data source and the data characteristics and propose the criteria for evaluating the …

… Intelligent Machine Age is upon us, and we are at a reflection point. We are already surrounded
by artificial intelligence (… Whether intelligent machines will learn from the darkest parts of …

… By “artificial intelligence,” we limit our scope to the most recent forms of machine learning,
which train models to learn from data. These include a range of methods (eg, neural networks, …

… The artificial intelligence algorithms (AIAs) playing this Bertrand pricing game use a reinforcement
learning algorithm.The AIAs in this paper do not value the future (that is, they only …

… neural network algorithm, this paper proposes a new convolutional neural network algorithm.
… Experimental results show that the convolutional neural network algorithm proposed in this …

… camera are compared using artificial intelligence (AI) algorithm for determining the accuracy
… For this purpose, we train a deterministic AI algorithm based on malignancy recognition by …

… The AI algorithm we use to play the Bertrand pricing game is a reinforcement learning
algorithm.In a reinforcement learning algorithm the coder defines a goal for the algorithm (eg, …

… Afterward, we use de-identified data to develop the AI algorithm. Several machine learning
… based algorithm was adopted for our AI algorithm development due to best performance. …