Computational trajectory inference enables the reconstruction of cell state dynamics from
single-cell RNA sequencing experiments. However, trajectory inference requires that the …

Causal graph, as an effective and powerful tool for causal modeling, is usually assumed as
a Directed Acyclic Graph (DAG). However, recommender systems usually involve feedback …

Supplemental lighting is an effective means for increasing greenhouse productivity.
Recently, the use of light-emitting diodes (LEDs), capable of precise and quick dimmability …

Pigeon pea is an underutilized crop in Nigeria and particularly in Oyo State in terms of
research, production and utilization despite its economic and nutrition importance. It is …

Understanding how cells change their identity and behaviour in living systems is an
important question in many fields of biology. The problem of inferring cell trajectories from …

With the growing demand for offshore wind energy and the continued drive for reduced
levelised cost of energy, it is necessary to make operation and maintenance activities more …

Abnormal behavioral changes in the regular daily mobility routine of a pregnant dairy cow
can be an indicator or early sign to recognize when a calving event is imminent. Image …

Markov chain model is a stochastic process to determine the transition probability of a state
space based on a previous state. We can use a stationary distribution of first order-Markov …

Currently all producing meet to with face to big problems as the determining production
volumes because they have a problem related to predicting the consumer prices in the …

Recent critiques of Artificial-intelligence (AI)-generated visual content highlight concerns
about the erosion of artistic originality, as these systems often replicate patterns from their …