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An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, c...

Point cloud is an important type of geometric data structure. Due to its irregular format, most researchers transform such data to regular 3D voxel grids or collections of images. This, however, renders data unnecessaril...

From the Publisher: Using a practical approach, it discusses two-level factorial and fractional factorial designs, several aspects of empirical modeling with regression techniques, focusing on response surface methodolog...

We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution f...

Designing complex, dynamic yet multi-functional materials and devices is challenging because the design spaces for these materials have numerous interdependent and often conflicting constraints. Taking inspiration from a...

A general formula ( α ) of which a special case is the Kuder-Richardson coefficient of equivalence is shown to be the mean of all split-half coefficients resulting from different splittings of a test. α is therefore an...

We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation. Using our efficient model in a data collection loop, we built the largest segmentation dataset to date (by far), with...

Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result repor...

From the Publisher: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition,this text ...

Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can be a problem for parameter estimation bec...

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit p...

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex dev...

The main purpose of this project is to develop mathematical competences through interactive educational environments of multi-device access in the ninth grade students of the Institution Educativa Villa Estadio. The Mood...

Materias / palabras clave: math learning design, mathematics education, ethnomathematics, mathematics learning theory, mathematics learning evaluation; Education; Science: Mathematics

Materias / palabras clave: mathematics education, mathematical learning media, ethnomathematics, math learning design; Science: Mathematics

Materias / palabras clave: artificial intelligence, machine learning and deep learning, materials discovery and design, drug discovery and design, energy science, computational chemistry; Science: Chemistry; Science: Mathematics: Instruments and m...

Materias / palabras clave: mathematics in open learning, mathematics ability, model and media in mathematics learning, digital technologies or ict in mathematics learning, design/development research in mathematics education; Science: Mathematics

Materias / palabras clave: mathematics education, mathematical thinking and learning, design and development research in mathematics education, mathematical literacy, curriculum integration in mathematics, pure mathematics; Education: Special aspe...

Materias / palabras clave: model based learning, software engineering, artificial intelligence, machine learning, data science, computer science; Technology: Engineering (General). Civil engineering (General): Systems engineering; Technology: Engi...

Materias / palabras clave: artificial intelligence, cloud computing, data analysis, decision systems, learning management systems, software design engineering; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materias / palabras clave: artificial intelligence and machine learning, big data processing and analysis, wireless networks and communication systems, robotics and mechatronics, industrial design, bioengineering; Science: Science (General): Cyber...