Intelligent Algorithms And Software For Computer Aided Assessment In Mathematics
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Author | : Radek Silhavy |
Publisher | : Springer |
Total Pages | : 482 |
Release | : 2019-05-07 |
Genre | : Technology & Engineering |
ISBN | : 3030198073 |
This book presents software engineering methods in the context of the intelligent systems. It discusses real-world problems and exploratory research describing novel approaches and applications of software engineering, software design and algorithms. The book constitutes the refereed proceedings of the Software Engineering Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held on-line in April 2019.
Author | : Goncalo Marques |
Publisher | : Academic Press |
Total Pages | : 475 |
Release | : 2022-03-20 |
Genre | : Computers |
ISBN | : 0323855989 |
Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering
Author | : |
Publisher | : |
Total Pages | : 60 |
Release | : 1984 |
Genre | : Small business |
ISBN | : |
Author | : Yan Pei |
Publisher | : Springer Nature |
Total Pages | : 1324 |
Release | : 2022-10-14 |
Genre | : Computers |
ISBN | : 9811941327 |
This book comprises select proceedings of the 5th International Conference on Innovative Computing (IC 2022) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike.
Author | : National Institute of Standards and Technology (U.S.) |
Publisher | : |
Total Pages | : 1162 |
Release | : 1994 |
Genre | : |
ISBN | : |
Author | : Chris Sangwin |
Publisher | : OUP Oxford |
Total Pages | : 271 |
Release | : 2013-05-02 |
Genre | : Mathematics |
ISBN | : 0191635863 |
Assessment is a key driver in mathematics education. This book examines computer aided assessment (CAA) of mathematics in which computer algebra systems (CAS) are used to establish the mathematical properties of expressions provided by students in response to questions. In order to automate such assessment, the relevant criteria must be encoded and, in articulating precisely the desired criteria, the teacher needs to think very carefully about the goals of the task. Hence CAA acts as a vehicle to examine assessment and mathematics education in detail and from a fresh perspective. One example is how it is natural for busy teachers to set only those questions that can be marked by hand in a straightforward way, even though the constraints of paper-based formats restrict what they do and why. There are other kinds of questions, such as those with non-unique correct answers, or where assessing the properties requires the marker themselves to undertake a significant computation. It is simply not sensible for a person to set these to large groups of students when marking by hand. However, such questions have their place and value in provoking thought and learning. This book, aimed at teachers in both schools and universities, explores how, in certain cases, different question types can be automatically assessed. Case studies of existing systems have been included to illustrate this in a concrete and practical way.
Author | : Library of Congress |
Publisher | : |
Total Pages | : 1708 |
Release | : 2013 |
Genre | : Subject headings, Library of Congress |
ISBN | : |
Author | : Meri Yilan, Serpil |
Publisher | : IGI Global |
Total Pages | : 444 |
Release | : 2020-04-17 |
Genre | : Education |
ISBN | : 1799830640 |
The use of information and communication technologies (ICTs) in education has revolutionized learning. Shifting beyond traditional mode of education, the integration of ICTs has become an advantage for students at tertiary education when used for the right purpose to enhance learning. The use of technology brings forth a flexible and accessible mode of education and bridges the gap of learning across borders. This enables students at tertiary level to have access to other universities and academic resource materials globally, thereby expanding their knowledge. Thus, it is crucial to consider the development of technology in education as part of a comprehensive pedagogical framework and take into account new developments in ICTs. ICT-Based Assessment, Methods, and Programs in Tertiary Education is an essential research publication that provides relevant theoretical frameworks and recent empirical research findings on integrating ICTs in tertiary education to enhance learning and allow students to take more control of their learning. Highlighting topics such as assessment, language learning, and e-learning, this book is ideal for teachers, professionals, academicians, researchers, administrators, curriculum designers, instructional designers, and students.
Author | : D. Jude Hemanth |
Publisher | : Springer Nature |
Total Pages | : 1105 |
Release | : 2020-01-03 |
Genre | : Technology & Engineering |
ISBN | : 3030361780 |
This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics. Intended for scientists, experts, M.Sc. and Ph.D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.
Author | : R. N. V. Jagan Mohan |
Publisher | : CRC Press |
Total Pages | : 547 |
Release | : 2024-07-08 |
Genre | : Computers |
ISBN | : 104014537X |
The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.