Query-guided expansion and contraction of document sets
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Towards smart water monitoring: IoT-driven LSTM modelling for multi-step-ahead forecasting of river salinity dynamics
Optimizing Plant Production Through Drone-Based Remote Sensing and Label-Free Instance Segmentation for Individual Plant Phenotyping
Digital Model-Driven Cell & Gene Therapy Process Development
AniDomNet: A sequential pairwise model for inferring dynamic animal dominance hierarchies
Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking
Dynamic Multi-Behaviour, Orientation-Invariant Re-Identification of Holstein-Friesian Cattle
Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion
A deep learning approach to perform defect classification of freeze-dried product
Evaluating the effect of anomalous images on computer vision-based wood identification models
A multitask modelling framework for tablet manufacturability and quality attributes in direct compression using knowledge-guided neural networks
Explainable AI for aquatic environmental intelligence : a SHAP-enhanced LSTM approach using high-frequency water quality data in a river system
Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networks
Automated particle inspection of continuously freeze-dried products using computer vision
Cage enrichment to minimize aggression in part-time group-housed female breeding rabbits
Towards good modelling practice for parallel hybrid models for wastewater treatment processes
Bayesian cell therapy process optimization
Data-driven prediction of dairy cattle lifetime production and its use as a guideline to select surplus youngstock
Quantifying agonistic interactions between group-housed animals to derive social hierarchies using computer vision: a case study with commercially group-housed rabbits
Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata
Exploring image processing tools to unravel complex 1H-13C heteronuclear single-quantum correlation nuclear magnetic resonance spectra : a demonstration for pyrolysis liquids
SmartWoodID : an image collection of large end-grain surfaces to support wood identification systems
Quantifying the hydrodynamic stress for bioprocesses
Comparing a product-specific versus a general emoji list to measure consumers’ emotional associations with chocolate and predict food choice
Predicting the hydrodynamic properties of a bioreactor: Conditional density estimation as a surrogate model for CFD simulations
Uncovering new insights and misconceptions on the effectiveness of phosphate solubilizing rhizobacteria in plants: a meta-analysis
Improved Wood Species Identification Based On Multi-View Imagery of The Three Anatomical Planes
Innovative rhizosphere-based enrichment under P-limitation selects for bacterial isolates with high-performance P-solubilizing traits
Multiscale analysis of monoglyceride oleogels during storage
Shifts in the rhizobiome during consecutive in planta enrichment for phosphate-solubilizing bacteria differentially affect maize P status
Comparison of the antifungal effect of undissociated lactic and acetic acid in sourdough bread and in chemically acidified wheat bread
Development of a land use regression model for black carbon using mobile monitoring data and its application to pollution-avoiding routing
A combined RNA preservation and extraction protocol for gene expression studies in cacao beans
Respiratory CO2 combined with a blend of volatiles emitted by endophytic Serendipita strains strongly stimulate growth of Arabidopsis implicating auxin and cytokinin signaling
Predicting children's food choice using check-all-that-apply questions
Comparing a standardized to a product-specific emoji list for evaluating food products by children
Integrating expert and novice evaluations for augmenting ordinal regression models
Green leaf volatile production by plants : a meta-analysis
Species prevalence and disease progression studies demonstrate a seasonal shift in the Alternaria population composition on potato
Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment
The influence of natural oils of blackcurrant, black cumin seed, thyme and wheat germ on dough and bread technological and microbiological quality
Emoji as a tool for measuring children's emotions when tasting food
The digitization of a food package’s life cycle : existing and emerging computer systems in the pre-logistics phase
The digitization of a food package’s life cycle : existing and emerging computer systems in the logistics and post-logistics phase
Congolese rhizospheric soils as a rich source of new plant growth-promoting endophytic Piriformospora isolates
Accounting for image uncertainty in SAR-based flood mapping
Mobile monitoring for mapping spatial variation in urban air quality: development and validation of a methodology based on an extensive dataset
A decoy-free approach to the identification of peptides
Milk fatty acids as possible biomarkers to diagnose hyperketonemia in early lactation
A search grid for parameter optimization as a byproduct of model sensitivity analysis
An interval estimator for the unmixing of mixtures with set-based source descriptions
Predicting consumer acceptance of packaged meat using L1-regularized ordinal regression
Milk fatty acids as possible biomarkers to early diagnose elevated concentrations of blood plasma nonesterified fatty acids in dairy cows
Countering the negative search bias of Ant Colony Optimization in subset selection problems
Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models
Learning partial ordinal class memberships with kernel-based proportional odds models
Modeling the photocatalytic degradation of moxifloxacin by means of a stochastic cellular automaton
Supervised learning algorithms for multi-class classification problems with partial class memberships
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