The perception and appreciation of food flavor depends on many interacting chemical
compounds and external factors, and therefore proves challenging to understand and …

Simulation-based performance prediction is cumbersome and time-consuming. An
alternative approach is to consider supervised learning as a means of predicting the …

Machine translation quality estimation (QE) predicts human judgements of a translation
hypothesis without seeing the reference. State-of-the-art QE systems based on pretrained …

Choosing the most suitable algorithm to perform a machine learning task for a new problem
is a recurrent and complex task. In multi-target regression tasks, when problem …

Objective. Voxel-wise visual encoding models based on convolutional neural networks
(CNNs) have emerged as one of the prominent predictive tools of human brain activity via …

Accurate pre-harvest crop yield estimation is vital for agricultural sustainability and economic
stability. The existing yield estimating models exhibit deficiencies in insufficient examination …

Considerable effort is directed toward controlling the physicochemical structure of graphene
and graphene oxide, but complex structure/property relationships are difficult to identify and …

The construction of intercity highways by the United Kingdom (UK) government has resulted
in a progressive increase in vehicle emissions and pollution from noise, dust, and vibrations …

Traffic-related air pollution (TRAP) remains one of the main contributors to urban pollution
and its impact on climate change cannot be overemphasised. Experts in developed …

The growing amount of geo-referenced Earth observation data enables new research
directions in ecology. Due to its volume and complexity, it introduces new methodological …