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کلمات کلیدی: Few


موارد یافت شده: 19

1 - Deep Learning-based Classification for QoT Estimation in SMF and FMF Links (چکیده)
2 - Deep learning and deep transfer learning-based OPM for FMF systems (چکیده)
3 - Active learning for OPM in FMF systems (چکیده)
4 - Improving MDM–WDM optical network performance via optimized power allocation using Gaussian noise model (چکیده)
5 - Deep Neural Network-Based QoT Estimation for SMF and FMF Links (چکیده)
6 - End-to-end deep learning for joint geometric-probabilistic constellation shaping in FMF system (چکیده)
7 - Optimal power allocation in nonlinear MDM‐WDM systems using Gaussian noise model (چکیده)
8 - Joint Power and Gain Allocation in MDM-WDM Optical Communication Networks Based on Enhanced Gaussian Noise Model (چکیده)
9 - Detection of Genetic Diversity and Phylogenetic Relationship of Tanacetum parthenium L. Germplasm: Implications for Conservation and Breeding (چکیده)
10 - Effects of zinc oxide nanoelicitors on yield, secondary metabolites, zinc and iron absorption of Feverfew (Tanacetum parthenium (L.) Schultz Bip.) (چکیده)
11 - Photoelectrochemical water splitting by engineered multilayer TiO2/GQDs photoanode with cascade charge transfer structure (چکیده)
12 - Comprehensive Assessment of Phytochemical Potential ofTanacetum parthenium(L.): Phenolic Compounds, Antioxidant Activity, Essential Oil and Parthenolide (چکیده)
13 - Understanding the effects of different social data on selecting priority conservation areas (چکیده)
14 - Comparative assessment of on-farm greenhouse gas (GHG) emissions from male-headed and female-headed rice farms in Mazandaran Province, Iran (چکیده)
15 - Facile, environmentally friendly, cost effective and scalable production of few-layered graphene (چکیده)
16 - Graphene nanosheets as efficient adsorbent for an azo dye removal: kinetic and thermodynamic studies (چکیده)
17 - One-pot solvent free synthesis of someindolylmethane amine derivativesbyFe(HSO4)3 as a recycable catalyst (چکیده)
18 - Preparation and Characterization of Graphene Nanosheets (چکیده)
19 - Heuristic algorithms for permutation flow shop scheduling problem with deteriorating jobs (چکیده)