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D. Kiplangat

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Open access Oct 2026

PREDICTING CLOSING STOCK RETURNS USING SEQUENTIAL ARTIFICIAL NEURAL NETWORK

Financial time series exhibit complex characteristics, including volatility, nonlinearity, and temporal dependencies, which make accurate forecasting challenging. This study investigated the use of a dynamic Long Short-Term Memory (LSTM) neural network to forecast stock prices and market direction. Augmented Dickey-Ful...

James Asumbo Otieno, D. Kiplangat, S. Mundia · 0 citations
Open access Jul 2026

Agronomic evaluation of WonderGro soil conditioner on maize productivity in Kenya

Despite maize being a staple food crop in Kenya, its productivity remains low, mainly due to inappropriate soil fertility management. The use of balanced and adequate fertilizers, while improving other soil conditions, is a prerequisite for increasing fertilizer use efficiency and maize production. This study asses...

Dishon Ogutu, Ruth Njoroge, A. Otinga et al. · 0 citations

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