Academic Articles & Research Papers

Machine learning in acoustics: Theory and applications

Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. We survey the recent advances and transformative potential of machine learning (ML), including deep lear...

Applications of machine learning and rule induction

M achine learning is the study of computational methods for improving performance by mechanizing the acquisition of knowledge from experience. Expert performance requires much domain-specific knowledge, and knowledge engineering has produce...

A Numerical-Based Attention Method for Stock Market Prediction With Dual Information

Stock market prediction is of great importance for financial analysis. Traditionally, many studies only use the news or numerical data for the stock market prediction. In the recent years, in order to explore their complementary, some studi...

Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks

This work investigates the application of artificial neural network (ANN)-based regression models to predict the static and dynamic characteristics of GaN impact avalanche transit time (IMPATT) sources in the terahertz (THz) frequency regim...

Machine learning for composite materials

Perspectives in machine learning for wildlife conservation

Inexpensive and accessible sensors are accelerating data acquisition in animal ecology. These technologies hold great potential for large-scale ecological understanding, but are limited by current processing approaches which inefficiently d...

High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli

Understanding evolutionary constraints in antibiotic resistance is crucial for prediction and control. Here, the authors use high-throughput laboratory evolution of Escherichia coli alongside machine learning to identify trade-off relations...

The limits of Antarctic conservation governance.

Unveiling hidden air pollution exposure and impacts with low-cost sensor network-based frameworks.

Bifidobacterium animalis subsp. lactis BL-99 ameliorates age-related intestinal hypomotility in older adults: a randomized controlled trial.

Midbrain endocannabinoids actuate dopamine-based action selection

Summary: Quickly adapting behavior to changing environments is key for survival. Brain dopamine signals reinforce actions that procure rewards and avoid adverse outcomes. However, the molecular mechanisms within the circuits that actuate th...

A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks

Abstract Vehicular Ad Hoc Networks (VANETs) are wireless networks established between vehicles and their surrounding infrastructure, enabling the exchange of information. Consequently, many applications that can enhance passengers’ safety a...

Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space

Optimising antibody properties such as affinity can be detrimental to other key properties. Here the authors use machine learning to simplify the identification of antibodies with co-optimal levels of affinity and specificity for a clinical...

Plasma radicals control synthesis of platinum supported on nitrogen-doped graphitic carbon for ambient-pressure ammonia synthesis.

Community-centric modeling of citation dynamics explains collective citation patterns across different knowledge systems.

Systematic screen of RNA binding proteins that enhance circular RNA translation.

The WorkReach model for urban work location choices through economic complexity and informality.

High-resolution binding data of TFIID and cofactors show promoter-specific differences.

A selectivity filter in Tim17 mediates intramitochondrial protein sorting.

High potential contribution of intercropping to soybean and maize self-sufficiency in Europe.