Emotion regulation is a critical transdiagnostic process that shapes vulnerability and resilience to psychopathology during adolescence, a developmental ...
This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...
When AI makes talent analytics more confident, it can make leaders more blind. Scorecard Blindness is the hidden cost of getting prediction exactly right.
A new risk prediction model shows good predictive value in identifying risk for neurogenic bladder (NB) after spinal cord injury (SCI) and guiding clinical interventions, according to a study ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Researchers at IIT Bombay have developed predictive models capable of calculating sintering-induced shrinkage in 3D printed ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
According to Brian Ferdinand, a portfolio manager at EverForward and Strategic Advisor to Helix Alpha Systems, predictive models are effective in a stable market, but they lose their accuracy in the ...
AXA Group senior leadership explain how the insurer is harnessing AI to transform the insurance model, moving from traditional risk pooling to proactive risk management ...
From predictive maintenance to training, digital twins are becoming a core platform for operational efficiency in these sectors.
Abstract: This study addresses the self-balancing control problem for a Reconfigurable Unmanned Ground Vehicle (RUGV) during high-precision docking process in complex environments. Constrained by ...
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