Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Abdul Joseph Fofanah"'
Publikováno v:
International journal of health sciences. :12264-12290
In this paper we present a cardiovascular diseases prediction which is referred to as heart diseases. A detail review and application of genetic algorithms in healthcare systems including machine learning algorithms were evaluated. The cardiovascular
Autor:
null Abdul Joseph Fofanah, null Habibu Rasin Bundu, null Jonathan Gibrill Kargbo, null Ahmed Fofana
Publikováno v:
International Journal of Scientific Research in Science and Technology. :324-342
The advancement of emerging technological tools in software engineering is an important element in the design and development of software systems. In this paper, we present an analysis of theory and practice including methodology of software products
Publikováno v:
International Journal of Scientific Research in Science and Technology. :10-48
Investors and other business persons have a desire to know about the future market price because, if the investors know about the future price of a certain commodity or stock it will help them to make appropriate business decisions and they can also
Publikováno v:
International Journal of Scientific and Research Publications (IJSRP). 11:139-151
Publikováno v:
International Journal of Scientific and Research Publications (IJSRP). 11:516-531
Publikováno v:
International Journal of Scientific & Engineering Research. 12:1142-1150
A theoretical concept of the GMDH technique using a non-linear regression model, multilayered neural nets, model assessment, and selection to determine the prediction error versus selection model complexity was reviewed and evaluated. The model selec
Publikováno v:
Multimedia tools and applications. 81(8)
To protect the information integrity of the medical images, this paper proposes a secure lossless recovery scheme for medical images based on image block compression and permutation ordered binary (POB) number system, which includes two parts: share
Adaptive Neuro-Fuzzy Inference System with Non-Linear Regression Model for Online Learning Framework
Publikováno v:
International Journal of Scientific & Engineering Research. 11
Autor:
Abdul Joseph Fofanah, Tiegang Gao
Publikováno v:
ICIAI
In this paper, we presents two watermarking schemes namely: Scheme I present an hybrid of discrete cosine transform (DCT) and discrete wavelet transform (DWT) watermarking technique while Scheme II presents a genetic programming (GP) based technique.