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This book highlights the fundamental association between aquaculture and engineering in classifying fish hunger behaviour by means of machine learning techniques. Understanding the underlying factors that affect fish growth is essential, since they have implications for higher productivity in fish farms. Computer vision and machine learning techniques make it possible to quantify the subjective perception of hunger behaviour and so allow food to be provided as necessary. The book analyses the conceptual framework of motion tracking, feeding schedule and prediction classifiers in order to classify the hunger state, and proposes a system comprising an automated feeder system, image-processing module, as well as machine learning classifiers. Furthermore, the system substitutes conventional, complex modelling techniques with a robust, artificial intelligence approach. The findings presented are of interest to researchers, fish farmers, and aquaculture technologist wanting to gain insights into the productivity of fish and fish behaviour.
Wildlife. --- Fish. --- Computational intelligence. --- Computer simulation. --- Signal processing. --- Image processing. --- Speech processing systems. --- Fish & Wildlife Biology & Management. --- Computational Intelligence. --- Simulation and Modeling. --- Signal, Image and Speech Processing. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Fish --- Pisces --- Aquatic animals --- Vertebrates --- Fisheries --- Fishing --- Ichthyology --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)
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This book highlights the fundamental association between aquaculture and engineering in classifying fish hunger behaviour by means of machine learning techniques. Understanding the underlying factors that affect fish growth is essential, since they have implications for higher productivity in fish farms. Computer vision and machine learning techniques make it possible to quantify the subjective perception of hunger behaviour and so allow food to be provided as necessary. The book analyses the conceptual framework of motion tracking, feeding schedule and prediction classifiers in order to classify the hunger state, and proposes a system comprising an automated feeder system, image-processing module, as well as machine learning classifiers. Furthermore, the system substitutes conventional, complex modelling techniques with a robust, artificial intelligence approach. The findings presented are of interest to researchers, fish farmers, and aquaculture technologist wanting to gain insights into the productivity of fish and fish behaviour.
Fauna. Zoological determination guides --- Fishes --- Electronics --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- DIP (documentimage processing) --- digitale signaalverwerking --- beeldverwerking --- fuzzy logic --- cybernetica --- spraaktechnologie --- signal processing --- mineralen (chemie) --- mijnbouw --- KI (kunstmatige intelligentie) --- dieren --- vissen (biologie) --- signaalprocessoren --- signaalverwerking --- AI (artificiële intelligentie)
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Fauna. Zoological determination guides --- Fishes --- Electronics --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- DIP (documentimage processing) --- digitale signaalverwerking --- beeldverwerking --- fuzzy logic --- cybernetica --- spraaktechnologie --- signal processing --- mineralen (chemie) --- mijnbouw --- KI (kunstmatige intelligentie) --- dieren --- vissen (biologie) --- signaalprocessoren --- signaalverwerking
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This book presents essentially a collection of proceedings that deliberate on the key challenges and recent trends on robotics, automation and data analytics which are the pillars of Industry 4.0. Solutions that are employed in the multitude spectra of innovative robotics & automation and data analytics are discussed. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from the book. This book consists of selected papers presented at the 2nd International Conference on Innovative Technology, Engineering and Sciences 2020 (iCITES) hosted virtually by Universiti Malaysia Pahang on 22nd December 2020. iCITES is a biennial conference, aimed at building a platform that allows relevant stakeholders to share and discuss their latest researches, ideas and survey reports from theoretical to a practical standpoint especially in the Innovative Robotics & Automation and Data Analytics tracks which was published in this book.
Electrical engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- mechatronica --- industriële robots --- automatisering --- KI (kunstmatige intelligentie) --- robots --- automatische regeltechniek --- AI (artificiële intelligentie)
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Electrical engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- mechatronica --- industriële robots --- automatisering --- KI (kunstmatige intelligentie) --- robots --- automatische regeltechniek
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On behalf of the Program Committee, a very warm welcome to the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020). This edition of the conference is held in Bologna and organised by the University of Bologna. The CLiC-it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after six years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges.
Linguistics --- Computational Linguistics --- Fine-grained sentiment analysis --- Distributional Semantics --- Quantitative Linguistic Investigations --- Gender Bias --- Depression from Social Media --- Online Hate Speech --- Automatic Sarcasm Detection --- TrAVaSI --- AriEmozione --- AEREST --- COVID-19 --- Linguistic Ostracism in Social Networks --- Multilingual NLU --- E3C Project --- DistilBERT --- Twitter during Pandemic --- COVID-1
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