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Automated Estrus Detection for Dairy Cattle through Neural Networks and Bounding Box Corner Analysis

Nilo M. Arago, Chris I., Angelita G., Charl G., Nicole E., Rodney Rafael, Timothy M., Romeo Jr., August C., Jessica S., Lean Karlo
2020 International Journal of Advanced Computer Science and Applications  
Through the TensorFlow Object Detection API, the proponents trained two custom neural network models capable of visualizing bounding boxes of the predicted cow objects on image frames.  ...  The system observed 17 cows, a carabao, and a bull through the cameras installed atop of a cowshed, and detects the estrus events with an efficiency of 50%.  ...  Services (URDS) of the Technological University of the Philippines, Ermita, Manila for the project funding.  ... 
doi:10.14569/ijacsa.2020.0110935 fatcat:mj27vent3jhbpcjigl4nlhpnju

Data mining and decision support systems for efficient dairy production

Sunesh Balhara, Rishi Pal Singh, A. P. Ruhil
2021 Veterinary World  
Along with artificial intelligence techniques, data mining has opened new avenues for achieving high resource utilization efficiency and sustainable profitability in livestock production systems.  ...  The whole concept of economic farming thus requires identification of "elite" animals, meeting above criteria as base population for the farm enterprise.  ...  Dairy Production Expert Systems Based on Artificial Neural Network (ANN) and Fuzzy Logic Statistical analysis of the historical animal production data and subsequently its data mining applications gave  ... 
doi:10.14202/vetworld.2021.1258-1262 fatcat:mnbzbnokafcbxaro7g5fq5j5g4

Harnessing cytoplasmic particles movement of the human early embryo analysed by advanced imaging and artificial intelligence to predict development to blastocyst stage [article]

Giovanni Coticchio, Giulia Fiorentino, Giovanna Nicora, Raffaella Sciajno, Federica Cavalera, Riccardo Bellazzi, Silvia Garagna, Andrea Borini, Maurizio Zuccotti
2020 bioRxiv   pre-print
Design: In a proof-of principle study, an artificial neural network (ANN) approach was undertaken to assess retrospectively 230 human preimplantation embryos.  ...  Research Question: Progress in artificial intelligence (AI) and advanced image analysis offers unique opportunities to develop novel embryo assessment approaches.  ...  The resulting data were 77 elaborated by neural network-based artificial intelligence (AI).  ... 
doi:10.1101/2020.11.26.399832 fatcat:b3k2jsobwzejzn3fygeulasote

Strategic marketing plans and collaborative networks

Marcos Fava Neves
2007 Marketing Intelligence & Planning  
It also casts light on networks and working relationships from an unusual angle, which may be transferable to other contexts.  ...  Originality/value -The proposed model differs from other marketing planning frameworks in treating the company to which it is applied as member of a network, not an individual.  ...  Only 5 per cent of market uses artificial insemination Marketing intelligence Still very preliminary; reluctant to establish information systems From industry association.  ... 
doi:10.1108/02634500710737951 fatcat:ecxtkg2k6vainngnqi6toosqfi

Modelling of Livestock Systems to Enhance Efficiency

2019 Animal Frontiers  
Neural networks, or artificial neural networks, are actually a combination of many algorithms in a network, where layers of nodes, representing algorithms, feed outputs from the previous layer of nodes  ...  Artificial intelligence comprises different highly sophisticated, data-driven technologies that are based on neural network programming.  ...  He obtained the diploma "Ingénieur Agronome" from Institut National Agronomique (Paris) followed by MSc and PhD from the University of Paris-Sorbonne.  ... 
doi:10.1093/af/vfz023 pmid:32055429 pmcid:PMC7009596 fatcat:54nbp4e2b5hn5k7mkix25p4vfe

Genetic Programming III - Darwinian Invention and Problem Solving

Peter Nordin
1999 Evolutionary Computation  
Acknowledgments We would like to acknowledge the help of our editor, Denise Penrose, and that of Edward Wade and Emilia Thiuri, at Morgan Kaufmann Publishers.  ...  Finally, we thank our families for their patience for yet another project that took Dad away for significant periods of time.  ...  Chapter 9, Applications, reviews a few of the applications of particle swarm optimization. The use of particle swarm optimization to evolve artificial neural networks is presented first.  ... 
doi:10.1162/evco.1999.7.4.451 fatcat:27732t6mfvgt7mzpbvkrv6wcqm

Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise Filtering

Dae-Hyun Jung, Na Yeon Kim, Sang Ho Moon, Changho Jhin, Hak-Jin Kim, Jung-Seok Yang, Hyoung Seok Kim, Taek Sung Lee, Ju Young Lee, Soo Hyun Park
2021 Animals  
In this study, we developed a web-based monitoring and recording system based on artificial intelligence analysis for the classification of cattle sounds.  ...  The deep learning classification model of the system is a convolutional neural network (CNN) model that takes voice information converted to Mel-frequency cepstral coefficients (MFCCs) as input.  ...  Environmental sound recognition is an important pattern recognition problem because artificial intelligence is becoming widely adopted for protecting biodiversity and conservation [22] .  ... 
doi:10.3390/ani11020357 pmid:33535390 pmcid:PMC7911430 fatcat:5kqo7owefbgfjb3ffpejqjudma

MindFluctuations: Poetic, Aesthetic and Technical Considerations of a Dance Spectacle Exploring Neural Connections

Tania Fraga
2018 Tecno Lógicas  
In the discussion of this hypothesis through the case study of the spectacle MindFluctuations— an experimental artwork exploring neural connections—we are looking for ways to develop them from conception  ...  This artwork uses a customized Java application, NumericVariations, to explore the quoted neural connections for spectacles, performances and site-specific installations.  ...  There are complete arrays of sub systems such as packages for geometries, autonomous artificial intelligence and artificial life behaviors, animations, materials, lights (illuminations), camera movements  ... 
doi:10.22430/22565337.728 fatcat:vtre6nqu2nekphvrijvfefwtvm

D1.4 First set of practice abstracts [article]

Bacco Manlio, Brunori Gianluca, Van Der Velden Daniel, Koltsida Panagiota, Quiédeville Sylvain, Hardy Claire, Rendl Clemens, Delgado Serrano Maria Del Mar, Sancho Javier, Nieto Enrique, Berzina Inga, Ortolani Livia (+8 others)
2020 Zenodo  
The table presented therein summarizes the key elements useful to provide an overview of each digital tool from both technological and socio-economic aspects.  ...  Both aspects build upon the use of the toolkit proposed in D1.3, and comprising the identification of the function of the digital tool, the reference application scenario, the high-level description of  ...  Application scenario Monitoring of forest status and preservation. Digital technologies Artificial intelligence, satellite imagery, neural networks and (cloud) computing power.  ... 
doi:10.5281/zenodo.4556857 fatcat:wes4hg5w6rdf7n52yvimokhhky

International Conference Cybernetic Modelling of Biological Systems MCSB 2015

2015 Bio-Algorithms and Med-Systems  
, in particular because of their ability to transfer information from a related protein.  ...  Answering the issue of 'Cybernetics Modelling of Biological Systems' covers a large spectrum of dimensions, starting from the molecular level up to the population level.  ...  Practical application of SVM requires from the user specification of several options/ parameters, for example type of the kernel and the regularization parameter C (penalty factor in the minimized quadratic  ... 
doi:10.1515/bams-2015-0011 fatcat:a4qiow5ozvcy5jzc6lbe47y5sa

An IoT-Based Solution for Intelligent Farming

Luís Nóbrega, Pedro Gonçalves, Paulo Pedreiras, José Pereira
2019 Sensors  
Intelligent farming is one of the vast range of applications covered by the Internet of Things concept.  ...  Consequently, a customized communication stack has been developed, that intends to meet the project requirements, from the physical to the Application Layers.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19030603 fatcat:xfluvhezcvemnkuifaagv4ddve

A Long Shadow over the Soul: Molecular and Quantum Approaches to Psychopathology. An Interdisciplinary Dialog with Psychiatrists. Fano – Italy, March 2012

Fano Italy
2012 NeuroQuantology  
From 29th to 31st March 2012, will be held in Fano, in the meeting room of the Pastoral Center, Via Roma, 118-Fano, Italy, a major conference on the theme: A Long Shadow over the Soul.  ...  The conference is also an extraordinary opportunity to bring together most of the members of the Quantum Paradigms of Psychopathology (QPP) group.  ...  Craddock (Univ. of Alberta), S.R. Hameroff (Univ. of Arizona), N. Woolf (UCLA), R. Tanzi (Harvard Univ.) and A. Priel (Israel Inst. of Advanced Studies). This research was supported by NSERC (Canada)  ... 
doi:10.14704/nq.2012.10.2.584 fatcat:kte2vxrjwrfi5ligqm65zzmalq

Challenges for Experimentation on Living Beings at the Dawn of the 21st Century [chapter]

Pierre V. Vignais, Paulette M. Vignais
2010 Discovering Life, Manufacturing Life  
The need to organize these data in such a way as to draw from them an explanatory coherence has become an imperative that requires high-performance computing facilities.  ...  Under pressure from the media and from a strong political current that leads to financial support being given to applications of so-called "high-visibility" fundamental research, society waits impatiently  ...  They have set themselves the goal of producing an artificial intelligence, using ultrarapid computers as well as software that is able to model the operation of neural networks and to come close to the  ... 
doi:10.1007/978-90-481-3767-1_5 fatcat:o2ns7d3hsbffllocrvhv77y52i

The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping

Berit D. Brouer, Jakob Dirksen, David Pisinger, Christian E.M. Plum, Bo Vaaben
2013 European Journal of Operational Research  
predict the optimum time of van deliveries.Factors influencing the delivery process are depicted from various researches.Prediction is modeled as an artificial neural network using Back Propagation.The  ...  The paper will also evaluate the several possible market configurations, measuring the performance of the system from an operator, client and society perspective, finding the most balanced solution in  ...  EURO 25 -Vilnius 2012 -Short-term forecasting of light rail passenger demand by artificial neural networks -Optimizing the Backpropagation Algorithm for Training Artificial Neural Networks TC-45  ... 
doi:10.1016/j.ejor.2012.08.016 fatcat:c27kagfnxnhjfbil2rydhjhomm

SIENNA D2.4: Ethical Analysis of Human Genetics and Genomics

Alexandra Soulier, Emilia Niemiec, Heidi Carmen Howard
2019 Zenodo  
Secondly, we provide an extensive ethical analysis of human genomics .  ...  The aim of the report is not to make recommendations or present solutions, but only to identify and present ELSI pertaining to genomic technologies within their context of application.  ...  We also would like to thank, for their contributions to this report, experts of genomics and/or ELSI of genomics who accepted interviews and took part in our survey and workshops.  ... 
doi:10.5281/zenodo.4068015 fatcat:c2xwv5h6jje4piilvj6rv6uajm
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