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Results: 56
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
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
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
Smart Glasses Implementation in Hospitals
Wearable Smart Glasses visualises information projected onto the lens, col-lects data over a wireless network, and uses a program to convert it into text or images to be transmitted to the display. This study discovers the usage...
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...
Medical, Healthcare, and Life Sciences Medical Diagnosis and Practice Sexual, Reproductive, & Maternal Health Social Sciences and Humanities Government and Law
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
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...
Environmental Technologies Environmental, Agricultural, and Physical Sciences Environmental Science and Technologies
Published by: IGI Global
Education for Justice-Oriented and Participatory Citizenship in a Politicized Era in Hong Kong
This chapter aims at introducing issues of citizenship education arising from the social, historical, and political context of Hong Kong before and after its handover from Britain to the People's Republic of China in 1997. It...
Civic Engagement & Social Justice Education Curriculum Development and Instructional Design Social Sciences and Humanities
Published by: IGI Global
Linking Human Resource Management Practices and Firms' Performance Using Neural Networks
Shedrack Mutua
Jan 01, 2022
This paper investigates relationship between human resource management practices (HRM) and performance. This paper demonstrates how analysis to reveal relationship among dependent and independent variables in HRM-performance...
Published by: IGI Global
Technology Leadership in Malaysian Schools
Education 4.0 is the answer to the global needs for the advanced integration of humans and technology. Leading school’s technology utilization can be the way forward to support education 4.0 realization. This study aims to...
Published by: IGI Global
Short-Term Load Forecasting for a Captive Power Plant Using Artificial Neural Network
The irregularity of Indian grid system increases, with increase in the power demand. The quality of power supplied by the power grid is also poor due to continuous variation in frequency and voltage. To overcome this problem of...
Published by: IGI Global
Forecasting Preliminary Order Cost to Increase Order Management Performance
In this study, the cost estimation to be used in the optimization of proposed order price offer is made by artificial neural network (ANN) method. A case study is performed by the real data of a company, and the forecast results...
Published by: IGI Global
An Integrated Process for Verifying Deep Learning Classifiers Using Dataset Dissimilarity Measures
The specification and verification of algorithms is vital for safety-critical autonomous systems which incorporate deep learning elements. We propose an integrated process for verifying artificial neural network (ANN)...
Published by: IGI Global
Stock Market Index Prediction Using Artificial Neural Network
Falah Al-Akashi
Jan 01, 2022
Often, nonlinearity exists in the financial markets while Artificial Neural Network (ANN) could be used to expect equity market returns for the next years. ANN has been improved its ability to forecast the daily stock exchange...
Published by: IGI Global
Prediction of Photovoltaic Panels Output Performance Using Artificial Neural Network
Abdelouadoud Loukriz, Djamel Saigaa, Abdelhammid Kherbachi, Mustapha Koriker, Ahmed Bendib, Mahmoud Drif
Apr 01, 2022
To ensure the safe and stable operation of solar photovoltaic system-based power systems, it is essential to predict the PV module output performance under varying operating conditions. In this paper, the interest is to develop...
Published by: IGI Global
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