000			01954nam a22002533i 4500
005			20250421080605.0
008			250305s2024 flua f b 000 0 eng d
020			_a9781032867984 (pbk)
020			_a1032867981 (pbk)
037			_bSBF2024
040			_dNNfCLS _dAE-ShU _cUKB
050		4	_aQ335 _b.A44 2024
245	0	0	_aAlgorithms in advanced artificial intelligence : _bICAAAI 2023 / _ceditors, R.N.V. Jagan Mohan, Vasamsetty Chandra Sekhar, V.M.N.S.S.V.K.R. Gupta.
260			_aBoca Raton, FL : _bCRC Press, _c2024.
300			_axxiii, 520 pages : _billustrations ; _c28 cm
504			_aIncludes bibliographical references.
520			_aThe most common form of severe dementia, Alzheimer's disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN's meticulous approach to Alzheimer's diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer's disease in its early stages using a big collection of pictures of facial expressions.
650		0	_aAlgorithms.
650		0	_aArtificial intelligence.
700	1		_aJagan Mohan, R. N. V., _eeditor.
700	1		_aChandra Sekhar, Vasamsetty, _eeditor.
700	1		_aGupta, V. M. N. S. S. V. K. R., _eeditor.
942			_cBKS
999			_c19261 _d19261