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...
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...
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...
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...
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...
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...
/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 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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...