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Results: 152
Forecasting of Electricity Demand by Hybrid ANN-PSO Models
Developing economies need to invest in energy projects. Because the gestation period of the electric projects is high, it is of paramount importance to accurately forecast the energy requirements. In the present paper, the...
Published by: IGI Global
Feasibility of Hybrid PSO-ANN Model for Identifying Soybean Diseases
Soybean disease has become one of vital factors restricting the sustainable development of high-yield and high-quality soybean industry. A hybrid artificial neural network (ANN) model optimized via particle swarm optimization...
Published by: IGI Global
Does the Technological Diversification and R&D Internationalization of eMNCs Promote Enterprise Innovation?
Jing Li, Jun Wang
Sep 01, 2021
Under the background of digital economy, technological diversification and R&D internationalization are important strategic choices for eMNCs, represented by China, to seek advanced technological resources and create competitive...
Published by: IGI Global
Novel 2-D Histogram-Based Soft Thresholding for Brain Tumor Detection and Image Compression
The objective of image compression is to extract meaningful clusters in a given image. Significant groups are possible with absolute threshold values. 1-D histogram-based multilevel thresholding is computationally complex and...
Published by: IGI Global
Futuristic Prediction of Missing Value Imputation Methods Using Extended ANN
Missing data is universal complexity for most part of the research fields which introduces the part of uncertainty into data analysis. We can take place due to many types of motives such as samples mishandling, unable to collect...
Published by: IGI Global
A Dual-Stage SEM-ANN Analysis to Explore Consumer Adoption of Smart Wearable Healthcare Devices
Advances in information technology have included the development of smart wearable healthcare (SWH) devices that have potential benefits for consumer health. The adoption of SWH devices is limited, however, compared with other...
Published by: IGI Global
Effects of Frequent Interaction with Non-Native Speakers on English Dialect
Keiko Hirano
Nov 19, 2013
/T,d/ deletion was chosen as a speech token to test modifications to usage by native speakers of English due to frequent interactions with non-native anglophones in Japan. Approximately 250 tokens per each of thirty-nine...
Vocal Acoustic Analysis
Vocal acoustic analysis is becoming a useful tool for the classification and recognition of laryngological pathologies. This technique enables a non-invasive and low-cost assessment of voice disorders, allowing a more efficient...
Published by: IGI Global
Predicting Estimated Blood Loss and Transfusions in Gynecologic Surgery Using Artificial Neural Networks
This chapter explores valuating the efficacy of using artificial neural networks (ANNs) for predicting the estimated blood loss (EBL) and also transfusion requirements of myomectomy patients. All 146 myomectomy surgeries...
Published by: IGI Global
An Improved Firefly Algorithm-Based 2-D Image Thresholding for Brain Image Fusion
In this article, an attempt is made to diagnose brain diseases like neoplastic, cerebrovascular, Alzheimer's, and sarcomas by the effective fusion of two images. The two images are fused in three steps. Step 1. Segmentation: The...
Published by: IGI Global
An Improved Firefly Algorithm-Based 2-D Image Thresholding for Brain Image Fusion
In this article, an attempt is made to diagnose brain diseases like neoplastic, cerebrovascular, Alzheimer's, and sarcomas by the effective fusion of two images. The two images are fused in three steps. Step 1. Segmentation: The...
Published by: IGI Global
Predicting Estimated Blood Loss and Transfusions in Gynecologic Surgery Using Artificial Neural Networks
This chapter explores valuating the efficacy of using artificial neural networks (ANNs) for predicting the estimated blood loss (EBL) and also transfusion requirements of myomectomy patients. All 146 myomectomy surgeries...
Published by: IGI Global
Transfer Learning-Based Artificial Neural Network for Forward Kinematic Estimation of 6-DOF Robot
Transfer Learning (TL) can significantly lower training time and reduce dependency on a large number of target domain datasets. Such an approach is still not exploited for robotic prediction tasks. Currently, a TL based...
Published by: IGI Global
Melanoma Detection From Lesion Images Using Optimized Features Selected by Metaheuristic Algorithms
This paper deals with a simple but efficient method for detection of deadly malignant melanoma with optimized hand-crafted feature sets selected by three alternative metaheuristic algorithms, namely Particle Swarm Optimization...
Published by: IGI Global
Oct 05, 2013
Dans cet article, nous discutons de l’interaction apprenant-tâche-dictionnaire à l’ordinateur. Nous faisons un survol de la littérature en lexicographie pédagogique dédiée...
Deaf Culture in Inclusive Schools
Carrie Woods
Jan 07, 2022
The purpose of this chapter is to examine the culture of students who are d/Deaf and hard of hearing within the broader context of inclusive schools, specifically as demonstrated though their learning experiences, socialization...
Published by: IGI Global
Dual-Population Co-Evolution Multi-Objective Optimization Algorithm and Its Application
Yu Bo, Fahui Gu
Jan 01, 2022
In the multi-objective optimization algorithm, the parameter strategy has a huge impact on the performance of the algorithm, and it is difficult to set a set of parameters with excellent distribution and convergence performance...
Published by: IGI Global
Effective Implementation of Knowledge Management Systems (KMS) in Government Schemes/Programs of Selected Sectors Using Soft Computing
Soft Computing (SC) technique consisting of several fields of Artificial Intelligence namely, Artificial Neural Networks (ANNs), Fuzzy Logic (FL), Genetic Algorithms (GA), Machine Learning (ML) and Probabilistic Reasoning (PR)...
Published by: IGI Global
Rainfall-Runoff Modeling of Sutlej River Basin (India) Using Soft Computing Techniques
The prediction of the runoff generated within a watershed is an important input in the design and management of water resources projects. Due to the tremendous spatial and temporal variability in precipitation, rainfall-runoff...
Published by: IGI Global
Open Innovation in R&D
Breakthrough innovations are crucial drivers of economic progress, often depending on external knowledge sources to complement internal knowledge. Co-patenting is one way to achieve this by implementing open innovation within...
Published by: IGI Global
Epidemic Healthcare Kiosk
One of the most difficult tasks for the physicians is to analyze, manage, and plan suitable diagnoses and treatments for society, especially in an epidemic situation like Corona virus disease (COVID-19). Hence, the mortality...
Published by: IGI Global
Automated Classification of Sleep Stages Using Single-Channel EEG
The main contribution of this paper is to present a novel approach for classifying the sleep stages based on optimal feature selection with ensemble learning stacking model using single-channel EEG signals.To find the suitable...
Published by: IGI Global

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