Analysis of temperature variability utilising Mann–Kendall and Sen's slope estimator tests in the Accra and Kumasi Metropolises in Ghana

BF Frimpong, A Koranteng, F Molkenthin - Environmental Systems …, 2022 - Springer
Temperature variability may have direct and indirect impacts on the environments of the
Accra and Kumasi Metropolises in Ghana. This study analysed temperature and trends in …

[PDF][PDF] Data mining techniques for weather prediction: A review

D Chauhan, J Thakur - … Journal on Recent and Innovation Trends in …, 2014 - academia.edu
Data mining is the computer assisted process of digging through and analysing enormous
sets of data and then extracting the meaningful data. Data mining tools predicts behaviours …

Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model

ZU Khan, M Hayat, MA Khan - Journal of theoretical biology, 2015 - Elsevier
Enzyme catalysis is one of the most essential and striking processes among of all the
complex processes that have evolved in living organisms. Enzymes are biological catalysts …

Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC

S Ahmad, M Kabir, M Hayat - Computer methods and programs in …, 2015 - Elsevier
Abstract Heat Shock Proteins (HSPs) are the substantial ingredients for cell growth and
viability, which are found in all living organisms. HSPs manage the process of folding and …

[HTML][HTML] iNR-2L: A two-level sequence-based predictor developed via Chou's 5-steps rule and general PseAAC for identifying nuclear receptors and their families

M Kabir, S Ahmad, M Iqbal, M Hayat - Genomics, 2020 - Elsevier
Nuclear receptor proteins (NRPs) perform a vital role in regulating gene expression. With the
rapidity growth of NRPs in post-genomic era, it is highly recommendable to identify NRPs …

Intelligent computational method for discrimination of anticancer peptides by incorporating sequential and evolutionary profiles information

M Kabir, M Arif, S Ahmad, Z Ali, ZNK Swati… - … and Intelligent Laboratory …, 2018 - Elsevier
Cancer is one of the prominent threats to human life worldwide. Traditional therapeutic
mechanisms like chemotherapy, radiation and surgical operations are exploited for its …

Rainfall prediction using machine learning

AVS Kumar, SA Roshan, A Dutta, S Ray… - … in Climate and Smart …, 2024 - igi-global.com
Rainfall prediction is a crucial aspect of weather forecasting and plays a significant role in
various fields, including agriculture, water resource management, and disaster …

Machine learning approaches for discrimination of Extracellular Matrix proteins using hybrid feature space

F Ali, M Hayat - Journal of theoretical biology, 2016 - Elsevier
Extracellular Matrix (ECM) proteins are the vital type of proteins that are secreted by resident
cells. ECM proteins perform several significant functions including adhesion, differentiation …

Short time air temperature prediction using pattern approximate matching

Y Wang, Y Bai, L Yang, H Li - Energy and Buildings, 2021 - Elsevier
Accurate prediction of outdoor air temperature is of great significance to improve the energy
efficiency of HVAC system and even the whole building. The aim of this paper is to present …

[HTML][HTML] Bagging machine learning algorithms: A generic computing framework based on machine-learning methods for regional rainfall forecasting in upstate New …

N Yu, T Haskins - Informatics, 2021 - mdpi.com
Regional rainfall forecasting is an important issue in hydrology and meteorology. Machine
learning algorithms especially deep learning methods have emerged as a part of prediction …