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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	November 2022
Genre:	Naturwissensch., Medizin, Technik
	ArtificialIntelligence / Biostatistics / computationalandsystemsbiology / Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften / ComputerNetworks / computersystems / Computervision / correlationanalysis / Data Mining / datamining / Digitale Signalverarbeitung (DSP) / Education / Elektronik / imageanalysis / imageprocessing / imagesegmentation / Learning / machinelearning / Maschinelles Lernen / Netzwerk-Hardware / neuralnetworks / patternrecognition / signalprocessing / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783031208362
EAN-Code:	9783031208362
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 15 mm
Gewicht:	417 gr
Seiten:	272
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Chemical Neural Networks and Synthetic Cell Biotechnology: Preludes to Chemical AI.- Development of Bayesian network for multiple sclerosis risk factor interaction analysis.- Real-Time Automatic Plankton Detection, Tracking and Classification on Raw Hologram.- The first in-silico model of leg movement activity during sleep.- Transfer learning and magnetic resonance imaging techniques for deep neural network-based diagnosis of early cognitive decline and dementia.- Improving bacterial sRNA identification by combining genomic context and sequence-derived features.- High-dimensional multi-trait GWAS by reverse prediction of genotypes using machine learning methods.- A Non-Negative Matrix Tri-Factorization based Method for Predicting Antitumor Drug Sensitivity.- A Rule-based Approach for Generating Synthetic Biological Pathways.- Machine Learning Classifiers based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimer's Disease using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data.- Text Mining Enhancements for Image Recognition of Gene Names and Gene Relations.- Sentence Classification to Detect Tables for Helping Extraction of Regulatory Interactions in Bacteria.- RF-Isolation: a Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification.- Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models.- Explainable AI Models for COVID-19 Diagnosis using CT-Scan Images and Clinical Data.- The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions.- Deep Recurrent Neural Networks for the Generation of Synthetic Coronavirus Spike Protein Sequences.- Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data.- Soft brain ageing indicators based on light-weight LeNet-like neural networks and localized 2D brain age biomarkers.