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[PDF] Top 20 Comparison of machine learning algorithms for detecting coral reef

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Comparison of machine learning algorithms for detecting coral reef

Comparison of machine learning algorithms for detecting coral reef

... de coral que clasifica entre dos clases: la clase que pertenece al coral y el plano de fondo que no pertenece al ...de coral con el AUV Coralbot mediante un simulador de robots marinos, denominado ... See full document

12

Online machine learning algorithms to predict link quality in community wireless mesh networks

Online machine learning algorithms to predict link quality in community wireless mesh networks

... predictions for links when it is their first day of activity or if they have been active for a very short time in the previous ...the comparison with online machine learning ... See full document

33

The use of machine learning algorithms for the study of business profitability : a new approach based on preferences

The use of machine learning algorithms for the study of business profitability : a new approach based on preferences

... use of an approach based on preferences has provided good results in other fields (see, ...1999, for an application to the modelling of consumers’ ...usefulness of this approach for ... See full document

26

Comparison of Classification Algorithms for File Type Detection A Digital Forensics Perspective

Comparison of Classification Algorithms for File Type Detection A Digital Forensics Perspective

... Environment for Knowledge Analysis (Weka) [16], an open source machine learning software developed at the University of Waikato, New Zealand was used for all the conducted ...number ... See full document

6

Coral reefs of Huatulco, West Mexico: reef development in upwelling Gulf of Tehuantepec

Coral reefs of Huatulco, West Mexico: reef development in upwelling Gulf of Tehuantepec

... light of the recent worldwide decline in coral reefs (Wilkinson 1993, Ginsburg 1994), it is urgent to locate and document the coudition of reefs that are not subject to direct anthropogenic ... See full document

15

Mid term coral algal dynamics and conservation status of a Gorgona Island (Tropical Eastern Pacific) coral reef

Mid term coral algal dynamics and conservation status of a Gorgona Island (Tropical Eastern Pacific) coral reef

... spite of a weak but significant year x site interaction in coral but not algal cover; Table 1) indicate that such differences must precede this study ...result of a factor that acts chronically to ... See full document

14

OPPOSITE LEARNING STRATEGIES FOR IMPROVING THE SEARCH PROCESS OF ANT-BASED ALGORITHMS

OPPOSITE LEARNING STRATEGIES FOR IMPROVING THE SEARCH PROCESS OF ANT-BASED ALGORITHMS

... cases, for the two target algorithms, the information provided by the three proposed methods was useful to improve their search ...sub-colonies of ants cooperate in the definition of an ... See full document

161

2ELDAS comparison of three different algorithms for soil moisture assimilation in the HIRLAM system

2ELDAS comparison of three different algorithms for soil moisture assimilation in the HIRLAM system

... computed for July 2000. It shows that, in general, for Southern areas the ELD algorithm provides more soil water content than the reference (REF), also for the North-Eastern ...computed for ... See full document

12

Machine Learning con TensorFlow

Machine Learning con TensorFlow

... Aunque, para muchas cuestiones, es difícil saber qué características son importantes y deben ser extraídas. Aquí aparece en escena la representación del aprendizaje, que consiste en usar técnicas de aprendizaje ... See full document

64

Machine learning en ciberseguridad

Machine learning en ciberseguridad

... Dentro del sistema bancario, las aplicaciones para evitar el fraude se han caracterizado por el uso de técnicas más simples basadas en reglas estáticas, capaces de analizar un menor número de datos y rentabilizar en ... See full document

50

Machine learning para comunicaciones

Machine learning para comunicaciones

... Some of them are the order of the cons- tellation, the number of layers of the system, the number of dimensions (axis) or the non-linearities applied to each ...convenient for ... See full document

75

Machine learning cuántico

Machine learning cuántico

... a Machine Learning: A partir de una formulación en for- ma matricial del problema de optimización para los SVM, podemos aplicar los algoritmos cuánticos para la resolución de matrices con un tiempo ... See full document

117

Statistical postprocessing of different variables for airports in Spain using machine learning

Statistical postprocessing of different variables for airports in Spain using machine learning

... the algorithms for all hours from H + 06 to H + ...algorithm for each time, taking into account the fact that the model degrades with the passing of ...stratification of the dataset (a ... See full document

15

Development of Mycofier - a new machine learning-based classifier for fungal ITS sequences

Development of Mycofier - a new machine learning-based classifier for fungal ITS sequences

... classification tool for large data from fungal ITS1 sequences.. It is independent of alignment, more 25.[r] ... See full document

21

Environmental education in Tobago’s primary school: A case study of coral reef education

Environmental education in Tobago’s primary school: A case study of coral reef education

... dumping of rubbish; sew- age pollution from households, resorts and yachts; destruction of wetlands for develop- ment; soil erosion from indiscriminate veg- etation removal; and loss of ... See full document

10

Patterns of sexual recruitment for acroporid coral populations on the West Fore Reef at Discovery Bay,
     Jamaica

Patterns of sexual recruitment for acroporid coral populations on the West Fore Reef at Discovery Bay, Jamaica

... Hard coral communities around the benthic settlement arrays were quantitatively sampled in May 2003 using the plotless Point-Centered Quarter or Point-Quarter method (POCQ) (Cox ...intersection of the ... See full document

8

Study and development of reinforcement learning multiagent collaborative algorithms for solving families of problems

Study and development of reinforcement learning multiagent collaborative algorithms for solving families of problems

... not for a single problem but for multiple related problems? In Chapter 3 we will formalize the concept of problem families and we will see that a new vector optimization problem ...policy of ... See full document

53

Service of machine learning in streaming: supervised learning – decision tree

Service of machine learning in streaming: supervised learning – decision tree

... el machine learning hacia los servicios (MLaaS), debido al gran despuente que ha tenido esta rama de la inteligencia artificial, sobre todo para crear soluciones de analítica de datos que generen valor, ... See full document

108

Supervised Machine Learning Techniques for Quality of Transmission Assessment in Optical Networks

Supervised Machine Learning Techniques for Quality of Transmission Assessment in Optical Networks

... proposed for the ML-based QoT estimators: the hybrid approach and the plain ...advantage of the fact that the total length of the lightpath has a decisive impact on QoT ...features of the ... See full document

5

Machine Learning +OC

Machine Learning +OC

... § Lab sessions: Under the instructor’s supervision, students, divided in small groups, will apply the concepts and techniques covered in the lectures and will become familiar with the practical application of the ... See full document

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