The evolution of industries has introduced versatile technologies, motivating limitless
possibilities of tackling pivotal global predicaments in the arenas of medicine, environment …

Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …

Recognition of lying is a more complex cognitive process than truth-telling because of the
presence of involuntary cognitive cues that are useful to lie recognition. Researchers have …

The existing multimodal biometric fingerprint and vein deep learning features were found
effective for biometric recognition. However, the current performance of the deep learning …

Introduction Precision monitoring maturity in climacteric fruits like tomato is crucial for
minimising losses within the food supply chain and enhancing pre-and post-harvest …

Multi-modal biometric schemes, which leverage more than one sensor, offer significant
advantages over uni-modal schemes in terms of accuracy and robustness against attacks. In …

Deep learning has evolved dramatically in recent years, resulting in a wide range of useful
applications in various fields, such as computer vision, natural language processing …

This research proposes a methodology for identifying nonlinear systems using input/output
data and deep learning generative models. Our framework integrates Variational …

With the continuous development of network technology, online education has become an
important form of education. However, in the online education model, it is difficult for …

Introduction Since the reform and opening up, the social economy has developed rapidly.
The competition in the employer market is fierce, which leads leaders to have strict …