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Algebraic Structures and Graph Theory
| Algebraic Structures and Graph Theory |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (280 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
addition signed Cayley graph \({Σ_{n}^{∧}}\)
automata automata theory binary linear block codes BL-algebra BL-code BL-function brauer configuration algebra bubble-sort graphs cayley graphs characteristic chromatic number coding theory commutative rings configuration connected components crossing number cycle derived categories diameter differential graded algebras distance Laplacian matrix dot total graph enumerative combinatorics equivalent hyperpaths extendability finite groups finitely generated groups fundamental relation Galois extensions generalized reciprocal distance matrix geometric space graph graph energy graph theory hypercontinuity hyperfield hypergraph hypergroup hypergroups hyperpath hypertree ideal-based join product knot lattice path models left tri-ideal M-left-tri-basis M-right-tri-basis magma magnifying elements n/a order parity properties partial order path path algebra poset positive cone quantum groups at roots of unity quasi-automata quasi-multiautomata quasi-order reciprocal distance signless Laplacian matrix regular elements right tri-ideal semiautomata social systems spectral radius star graphs state machines subgraph t-graph tensor product decomposition trace norm transformation semigroups transposition trees wild representation type zero-divisor graph zero-divisors |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743272403321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electronics, Close-Range Sensors and Artificial Intelligence in Forestry
| Electronics, Close-Range Sensors and Artificial Intelligence in Forestry |
| Autore | Borz Stelian Alexandru |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
| Soggetto non controllato |
forest fire detection
deep learning ensemble learning Yolov5 EfficientDet EfficientNet big data automation artificial intelligence multi-modality acceleration classification events performance motor-manual felling willow Romania region detection of forest fire grading of forest fire weakly supervised loss fine segmentation region-refining segmentation lightweight Faster R-CNN ultrasound sensors road scanner terrestrial laser scanning TLS forest road maintenance forest road monitoring crowned road surface digital twinning climate smart LiDAR digitalization forest loss land-cover change machine learning spatial heterogeneity random forest model geographically weighted regression aboveground biomass estimation remote sensing Sentinel-2 Iran multiple regression artificial neural network k-nearest neighbor random forest canopy drone leaf leaves foliar samples sampling Aerial robotics UAS UAV IoT forest ecology accessibility wood diameter length close-range sensing Augmented Reality comparison accuracy effectiveness potential forestry 4.0 wood technology sawmilling productivity prediction long-term tree ring forestry detection resistance sensor micro-drilling resistance method signal processing Signal-to-Noise Ratio (SNR) |
| ISBN | 3-0365-6171-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639985003321 |
Borz Stelian Alexandru
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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