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Benjamin Bett Cheruiyot
Pág. 88 - 97
The focus of this study was to investigate the influence of training strategies on employee performance in public university campuses in Kericho County, Kenya. The study was motivated by concerns on employee performance in public university campuses desp...
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Yeon Moon Choo, Deok Jun Jo, Gwan Seon Yun and Eui Hoon Lee
Frequent localized torrential rains, excessive population density in urban areas, and increased impervious areas have led to massive flood damage that has been causing overloading of drainage systems (watersheds, reservoirs, drainage pump sites, etc.). F...
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Fhrizz S. De Jesus, Lyka Mae L. Fajardo
Pág. 13 - 32
AbstractEmployee development and training programs are critical to the global success of firms. Not only do these programs enable employees to develop new abilities, but they also enable businesses to increase employee productivity and improve company cu...
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Wesang?ula Salome Nang?oni, Appolonius Shitiabai Kembu
Pág. 46 - 55
AbstractKenya?s social-economic development blueprint as anchored by vision 2030 envisages growth in the public sector as the hub to its realization. The sector?s infrastructure industry is to quadruple its contribution to GDP. In line with this concern,...
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Lei Li, Xiaobao Zeng, Xinpeng Pan, Ling Peng, Yuyang Tan and Jianxin Liu
Microseismic monitoring plays an essential role for reservoir characterization and earthquake disaster monitoring and early warning. The accuracy of the subsurface velocity model directly affects the precision of event localization and subsequent process...
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Guizhi Tian and Liming Zhu
Characterized by soil moisture content and plant growth, agricultural drought occurs when the soil moisture content is lower than the water requirement of plants. Microwave remote sensing observation has the advantages of all-weather application and sens...
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Peranut Nimitsurachat and Peter Washington
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m...
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Sara Rajaram and Cassie S. Mitchell
The ability to translate Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) into different modalities and data types is essential to improve Deep Learning (DL) for predictive medicine. This work presents DACMVA, a novel framework ...
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Chenglin Yang, Dongliang Xu and Xiao Ma
Due to the increasing severity of network security issues, training corresponding detection models requires large datasets. In this work, we propose a novel method based on generative adversarial networks to synthesize network data traffic. We introduced...
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Mikael Sabuhi, Petr Musilek and Cor-Paul Bezemer
As the number of machine learning applications increases, growing concerns about data privacy expose the limitations of traditional cloud-based machine learning methods that rely on centralized data collection and processing. Federated learning emerges a...
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