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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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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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Aden Iftin Janjane,Jackson Ndolo Muthini
Pág. 105 - 112
The logistics service industry has evolved quickly to deliver a variety of services including frequently outsourced warehousing, logistics, and freight forwarding, as well as value-added services which include; order management and fulfillment as well as...
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Evans Vidija Sagwa, Appolonius Shitiabai Kembu
Pág. 29 - 36
AbstractThe Savings and Credit Cooperative Societies (Saccos) in Kenya have made a tremendous contribution to national development which is responsible for about 45% of Gross Domestic Product and 31% of national savings and deposits. Deposit Taking Sacco...
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Andrea Momblanch, Ian P. Holman and Sanjay K. Jain
Global change is expected to have a strong impact in the Himalayan region. The climatic and orographic conditions result in unique modelling challenges and requirements. This paper critically appraises recent hydrological modelling applications in Himala...
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Katarina Njegic, Ines Djokic, Vesna Milanovic
Research Question: This paper investigates whether the Narver and Slater?s market orientation scale (MKTOR scale) is reliable, valid and applicable in the Serbian exporters? context. Motivation: Previous studies that examined the applicability of the MKT...
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Sungil Byun and Dongik Lee
This paper presents a phased fault tree analysis (phased-FTA)-based approach to evaluate the performability of Autonomous Underwater Vehicles (AUVs) in real time. AUVs carry out a wide range of missions, including surveying the marine environment, search...
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Diya Wang, Yonglin Zhang, Lixin Wu, Yupeng Tai, Haibin Wang, Jun Wang, Fabrice Meriaudeau and Fan Yang
In recent years, the study of deep learning techniques for underwater acoustic channel estimation has gained widespread attention. However, existing neural network channel estimation methods often overfit to training dataset noise levels, leading to dimi...
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Woo-Hyun Choi and Jung-Ho Lewe
This study proposes a deep learning model utilizing the BACnet (Building Automation and Control Network) protocol for the real-time detection of mechanical faults and security vulnerabilities in building automation systems. Integrating various machine le...
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Haneul Lee and Seokheon Yun
Accurately predicting construction costs during the initial planning stages is crucial for the successful completion of construction projects. Recent advancements have introduced various machine learning-based methods to enhance cost estimation precision...
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