Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.

pig weight --- body size --- estimation --- deep learning --- convolutional neural network --- pig identification --- mask scoring R-CNN --- soft-NMS --- group-housed pigs --- audio --- dairy cow --- mastication --- jaw movement --- forage management --- precision livestock management --- equine behavior --- wearable sensor --- intermodality interaction --- class-balanced focal loss --- absorbing Markov chain --- cow behavior analysis --- prediction of calving time --- cow identification --- EfficientDet --- YOLACT++ --- cascaded model --- instance segmentation --- generative adversarial network --- machine learning --- automated medical image processing --- deep neural network --- animal science --- CT scans --- computer vision --- cow --- extensive livestock --- sensorized wearable device --- monitoring --- parturition prediction --- radar sensors --- radar signal processing --- animal farming --- computational ethology --- signal classification --- wavelet analysis --- dairy welfare --- hierarchical clustering --- mutual information --- precision livestock farming --- time budgets --- unsupervised machine learning --- wearables design --- animal-centered design --- animal telemetry --- modularity --- smart collar --- design contributions --- additive manufacturing --- low-frequency tracking --- commercial aviary --- laying hens --- false registrations --- tree-based classifier --- animal behaviour

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses. The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.

fault diagnosis --- empirical mode decomposition --- auditory attention --- Dempster-Shafer evidence theory --- simulation --- uncertainty of basic probability assignment --- center of pressure displacement --- particle size distribution --- multivariate analysis --- symbolic analysis --- permutation entropy --- short time records --- co-evolution --- plausibility transformation --- experiment of design --- cross-entropy method --- weighted Hartley entropy --- firefly algorithm --- embedded dimension --- entropy measure --- effective transfer entropy --- treadmill walking --- ordinal patterns --- complex fuzzy set --- entropy visualization --- belief entropy --- signal classification --- machine learning evaluation --- novelty detection --- selfsimilar measure --- Permutation entropy --- automatic learning --- cross wavelet transform --- cross-visibility graphs --- Kolmogorov-Sinai entropy --- distance --- Shannon-type relations --- Tsallis entropy --- market crash --- support vector machine (SVM) --- conditional entropy of ordinal patterns --- sample entropy --- learning --- electroencephalography (EEG) --- meta-heuristic --- entropy --- data transformation --- information entropy --- signal analysis --- synchronization analysis --- similarity indices --- data analysis --- geodesic distance --- auditory attention classifier --- entropy measures --- distance induced vague entropy --- analog circuit --- vague entropy --- complex vague soft set --- entropy balance equation --- parametric t-distributed stochastic neighbor embedding --- global optimization --- learning systems --- image entropy --- algorithmic complexity --- support vector machine --- system coupling --- relevance analysis --- Chinese stock sectors --- Shannon entropy --- linear discriminant analysis (LDA) --- information --- information transfer --- dual-tasking --- non-probabilistic entropy