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Subjects / keywords: computing and artificial intelligence, energy science and technology, materials science and engineering, applied biosciences and bioengineering, environmental sciences, mechanical engineering; Technology: Engineering (Ge...

Subjects / keywords: Artificial intelligence; Law and legislation; Quantum computing

During the late 1990s, Huang introduced the algorithm called Empirical Mode Decomposition, which is widely used today to recursively decompose a signal into different modes of unknown but separate spectral bands. EMD is ...

Subjects / keywords: education, artificial intelligence, learning systems, machine learning, computer aided instruction, education computing; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: applied science, information technology, computing, machine learning, artificial intelligence, interdisciplinary research; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: computer networks and security, soft computing, machine learning, data science, signals and systems, artificial intelligence; Science: Mathematics: Instruments and machines: Electronic computers. Computer science; Langua...

Subjects / keywords: artificial intelligence and machine learning in systems, big data and analytics, quantum computing and emerging systems, distributed and cloud computing, cybersecurity and cryptography, blockchain and decentralized syste...

Subjects / keywords: artificial intelligence, robotics, data science, machine intelligence, computing, computational intelligence; Science: Science (General): Cybernetics; Science: Mathematics: Instruments and machines: Electronic computers....

Subjects / keywords: artificial intelligence, internet of things, social informatics, service computing; Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software; Technology: Technology (Gener...

Subjects / keywords: intelligent computing, machine intelligence, artificial intelligence; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: cognitive computing, artificial intelligence, big data, machine learning, internet of things, data science; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: social computing, artificial intelligence, computer science, human-computer interaction, computational social science, complex social systems; Science: Mathematics: Instruments and machines: Electronic computers. Compute...

Subjects / keywords: databases, data science, big data, business intelligence, artificial intelligence, cloud computing; Technology: Technology (General); Science: Mathematics: Instruments and machines: Electronic computers. Computer science...

Subjects / keywords: computer theory and algorithm, artificial intelligence and pattern recognition, computer architecture and high performance computing, computer network, software engineering, database and knowledge-based systems; Science:...

Subjects / keywords: artificial intelligence, business intelligence, cloud & grid computing, data analytics, decision support system, information retrieval; Science: Mathematics: Instruments and machines: Electronic computers. Computer scien...

Subjects / keywords: algorithms and complexity theory, computing and computer architecture, computer networks, artificial intelligence, security and encryption, performance evaluation of computer systems and queuing systems; Science: Mathema...

Abstract Together with ‘On Computable Numbers’, ‘Computing Machinery and Intelligence’ forms Turing’s best-known work. This elegant and sometimes amusing essay was originally published in 1950 in the leading ph...

Subjects / keywords: Workflow; Cloud computing; Transparency (behavior); Computer science; Big data; Productivity; Data science; Deep learning; Artificial intelligence; Process (computing); Precision medicine; Risk analysis (engineering)

UNLABELLED: RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies with maximum likelihood (ML). Low-level technical...

In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as across a spectrum of different model sizes. We...

BACKGROUND: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insuff...

When making sampling distribution inferences about the parameter of the data, θ, it is appropriate to ignore the process that causes missing data if the missing data are ‘missing at random’ and the observed data are...

This article described three heuristics that are employed in making judgments under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A ...

Sensemaking involves turning circumstances into a situation that is comprehended explicitly in words and that serves as a springboard into action. In this paper we take the position that the concept of sensemaking fills ...