As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …

In recent years, with the gradual depletion of shallow mineral resources, the exploitation of
deep mineral resources has become an inevitable trend. Microseismic monitoring is one of …

Hyperparameter optimization (HPO) and neural architecture search (NAS) of machine
learning (ML) models are in the core implementation steps of AI-enabled systems. With multi …

Inverse kinematics is the basis for controlling the motion of robotic manipulators. It defines
the required joint variables for the robotic end-effector accurately reach the desired location …

Handwritten characters recognition is a challenging research topic. A lot of works have been
present to recognize letters of different languages. The availability of Arabic handwritten …

To more efficiently diagnose secondary pulmonary tuberculosis, we build an improved
convolutional neural network (ICNN) based on recent deep learning technologies. First, a 12 …

The weak classifier ensemble algorithms based on the decision tree model, mainly include
bagging (eg, fandom forest-RF) and boosting (eg, gradient boosting decision tree, eXtreme …

Nonlinear vibration isolators (NVIs) are beneficial to isolate or suppress the adverse effects
caused by harmful vibration. To a large extent, the isolation capacity of NVIs depends on the …

Over a six-year period, employees and managers at Wells Fargo created 3.5 million false
deposit and credit card accounts resulting in $4.8 billion in fines. Following this incident …

Fluid-conveying pipeline structure is essential component in aircraft engine. The ratcheting
failure of pipe is inevitably accompanied by oil leakage and catastrophic accidents …