When every team can use data to make smarter decisions, the playing field is leveled and the door opens to a more innovative, ...

Abstract: Model-predictive control (MPC) is becoming increasingly popular in addressing the consensus problem of multiagent systems (MASs) due to its ability to manage constraints in a multivariable ...

This paper proposes a distributed model predictive control (DMPC) method for hybrid energy resources system of dynamic economic optimal dispatch with large-scale decomposition coordination approach.

Background The WHO recommends ≥150 min/week of moderate-to-vigorous physical activity (MVPA) for older adults, while the Japanese Ministry of Health, Labour and Welfare suggests ≥6000 steps/day.

The rapid evolution of power systems is driven by the integration of distributed generation, smart metering, energy storage, and electric vehicles (EVs).

When the COVID-19 pandemic accelerated in early 2020, people all over the globe were affected. In this disruption, ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, ...

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Somatic hypermutation (SHM) of immunoglobulin variable (V) regions modulates antibody-antigen affinity is initiated by activation-induced cytidine deaminase (AID) on single-stranded DNA (ssDNA).

Lightspeed-backed artificial intelligence (AI) startup Sarvam AI on May 7 released Bulbul V2, the latest version of its text-to-speech (TTS) model to deliver natural, human-like speech in 11 ...