Advances in Forensic Genetics |
Autore | Morling Niels |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (516 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Genetics (non-medical) |
Soggetto non controllato |
TaqMan SNP genotyping
OpenArray™ system forensic DNA phenotyping forensic DNA typing animal forensics wildlife forensics cat STRs dog STRs cyt b COI biogeographic ancestry pigmentation skin color externally visible characteristics forensic genetics eye colour rs12913832 DNA phenotyping domestic dog (Canis familiaris) canine DNA phenotyping forensic proof of concept study evidence Y-STR mtDNA mitochondria bio-geographical ancestry massively parallel sequencing ancestry informative markers SNPs 1000 Genomes Human Origins SNP array FDP HIrisPlex-S DEPArray ancestry prediction phenotype prediction next-generation sequencing single-cell genomics single-cell sequencing mixture deconvolution low template DNA ltDNA probabilistic genotyping EuroForMix DNAStatistX STRmixTM DNA forensics DNA mixture mixture interpretation single-cell clustering algorithm number of contributors consensus profile cross-amplification microsatellites Strigiformes illegal trade kinship nocturnal raptors review body fluid organ tissue identification mRNA DNA methylation activity level massively parallel sequencing (MPS) next-generation sequencing (NGS) short tandem repeat (STR) sequence analysis software DNA transfer DNA persistence DNA prevalence DNA recovery activity level evaluation forensic science ethics ethics as lived practice decision-making genetic databasing forensic genealogy forensic epigenetics communication database SNP next generation sequencing hybridization capture bone transfer persistence activity Bayesian networks burglary CODIS touch DNA crime scene authorized sampling short tandem repeat forensic microbiology microbiome physical appearance human genome variation DNA-based prediction investigative leads forensic DNA intelligence forensic genomics degraded DNA mitochondrial DNA forensic DNA profiling ancient DNA human identification ancestry biostatistics clustering classification distance based likehood hypothesis tests DNA molecules decontamination cleaning strategies Romanov family next generation sequencing (NGS) heteroplasmy single nucleotide polymorphism (SNP) kinship analyses biological sexing DNA principles of interpretation investigative evaluative reporting LR propositions activity issues |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910585942303321 |
Morling Niels
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications |
Autore | Lytras Miltiadis |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (258 p.) |
Soggetto non controllato |
artificial neural network
home energy management systems conditional random fields LR ELR energy disaggregation artificial intelligence genetic algorithm decision tree static young’s modulus price scheduling self-adaptive differential evolution algorithm Marsh funnel energy yield point non-intrusive load monitoring mud rheology distributed genetic algorithm MCP39F511 Jetson TX2 sustainable development artificial neural networks transient signature load disaggregation smart villages ambient assisted living smart cities demand side management smart city CNN wireless sensor networks object detection drill-in fluid ERELM sandstone reservoirs RPN deep learning RELM smart grids multiple kernel learning load feature extraction NILM energy management energy efficient coverage insulator Faster R-CNN home energy management smart grid LSTM smart metering optimization algorithms forecasting plastic viscosity machine learning computational intelligence policy making support vector machine internet of things sensor network nonintrusive load monitoring demand response |
ISBN | 3-03928-890-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404078103321 |
Lytras Miltiadis
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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