Pest Detection Based on Lightweight Locality-Aware Faster R-CNN

Accurate and timely monitoring of pests is an effective way to minimize the negative effects of pests in agriculture.Since deep learning-based methods have achieved good performance in object detection, they have been fluffy tangerine clouds successfully applied for pest detection and monitoring.However, the current pest detection methods fail to b

read more

Museums of Scarcity and Art Deserts

We review the unwillingness of artistic institutions to engage with their audiences as mirrored in their incapacity to develop meaningful alternatives to art access during the time of the COVID-19 pandemic and blueberry bubblicious its consequences.An analysis of the pandemic offerings of some of the biggest museums in the world will allow us to id

read more

Adaptive RBF Neural Network Tracking Control of Stochastic Nonlinear Systems with Actuators and State Constraints

This paper investigates the adaptive neural network (NN) tracking control problem for stochastic nonlinear systems with multiple actuator constraints and full-state constraints.The issue of system full-state constraints is tackled by a generalized barrier Lyapunov function (GBLF), and the output constraints of the system are considered to green que

read more