Academic Articles & Research Papers

From ELIZA to Conversational AI: Can a Chatbot Develop Emotions? Her as a Case Study

The rapid evolution of conversational artificial intelligence (AI) has sparked an ongoing debate regarding its ability to replicate, or even experience, human emotions. While early conversational chatbots such as Joseph Weizenbaum’s ELIZA (...

A Decision Support Model for Hotel Recommendation Based on the Online Consumer Reviews Using Logarithmic Spherical Hesitant Fuzzy Information

Spherical hesitant fuzzy sets have recently become more popular in various fields. It was proposed as a generalization of picture hesitant fuzzy sets and Pythagorean hesitant fuzzy sets in order to deal with uncertainty and fuzziness inform...

Cognitive biases in nursing students' clinical decision-making: insights from high-fidelity simulation using think-aloud and observational methods

BackgroundCognitive biases are systematic errors in human reasoning that can compromise clinical decision-making (CDM) in healthcare. While extensively studied in medicine, nursing research on cognitive biases in CDM remains limited.AimThis...

Application of the convolutional neural network in partial discharge spectrum recognition of power apparatus

Abstract Partial discharge (PD) detection is used to evaluate the insulation status of high‐voltage equipment. The most challenging aspect of traditional PD recognition is extracting features from the discharge signal. Accordingly, this stu...

A Coarse-to-Fine Approach for Rectifying Distorted Latent Fingerprints From Crime Scenes

With the widely used fingerprints to identify criminals, the influence of fingerprint deformation arouses attention in forensic science. To date, many approaches have been proposed to rectify distorted fingerprints. However, the performance...

Introduction to Mathematical Morphology

For the purposes of image analysis and pattern recognition, one often transforms an image into another better represented form. Image-processing techniques have been developed tremendously during the past ve decades and mathematical morphol...

Case-based medical informatics

BACKGROUND: The "applied" nature distinguishes applied sciences from theoretical sciences. To emphasize this distinction, we begin with a general, meta-level overview of the scientific endeavor. We introduce the knowledge spectrum and four ...

Handbook of Medical Informatics

Data Processing.- Database Management.- Telecommunication, Networking, and Integration.- Coding and Classification.- The Patient Record.- Biosignal Analysis.- Medical Imaging.- Image Processing and Analysis.- Primary Care.- Clinical Departm...

Robot Vision

From the Publisher: This book presents a coherent approach to the fast-moving field of computer vision, using a consistent notation based on a detailed understanding of the image formation process. It covers even the most recent research a...

Computing metasurfaces for all-optical image processing: a brief review

Computing metasurfaces are two-dimensional artificial nanostructures capable of performing mathematical operations on the input electromagnetic field, including its amplitude, phase, polarization, and frequency distributions. Rapid progress...

Natural Language Processing

B eyond pattern recognition of individual alphanumeric characters , whether they be of fixed font or handwritten, lies the problem of understanding strings of characters that form words, sentences, or larger assemblages of text in a “natura...

Neural Networks in Structural Engineering

In the past few years literature on computational civil engineering has concentrated primarily on artificial intelligence (Al) applications involving expert system technology. This article discusses a different Al approach involving neural ...

Pattern Recognition with Neural Networks in C++

From the Publisher: The addition of artificial neural network computing to traditionalpattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical gui...

Pointwise Convolutional Neural Networks

Deep learning with 3D data such as reconstructed point clouds and CAD models has received great research interests recently. However, the capability of using point clouds with convolutional neural network has been so far not fully explored....

Neural Networks in Clinical Medicine

Neural networks are parallel, distributed, adaptive information-processing systems that develop their functionality in response to exposure to information. This paper is a tutorial for researchers intending to use neural nets for medical de...

Neural networks in process fault diagnosis

Fault detection and diagnosis is an important problem in process automation. Both model-based methods and expert systems have been suggested to solve the problem, along with the pattern recognition approach. A number of possible neural netw...

Recent advances in convolutional neural networks

Neural Networks and Pattern Recognition

Pattern Recognition and Neural Networks

Understanding of a convolutional neural network

The term Deep Learning or Deep Neural Network refers to Artificial Neural Networks (ANN) with multi layers. Over the last few decades, it has been considered to be one of the most powerful tools, and has become very popular in the literatur...