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1. Training Deep Learning Models with Hybrid Datasets for Robust Automatic Target Detection on real SAR images

2. Robust SAR ATR on MSTAR with Deep Learning Models trained on Full Synthetic MOCEM data

5. Plan Ecophyto : tout comprendre aux annonces du gouvernement

6. Evaluation of two indicators according to the objectives of the Sustainable Use of pesticides Directive (SUD). A French case study

15. Urbanization, land tenure security and vector-borne Chagas disease

18. Residual infestation and recolonization during urban Triatoma infestans bug control campaign, Peru

19. Landscape drivers of pests and pathogens abundance in arable crops

21. QUANTIFICATION DE L'EFFICACITE DES PRATIQUES DE CONTROLE DES MALADIES DES GRANDES CULTURES EN FRANCE

23. Analyse des Variations Interannuelles des ventes de produits phytosanitaires et de l’indicateur NODU: Rapport du Projet AVI NODU

24. Improvement of SAR/ISAR simulation in MOCEM V4.5 by computation of the ship's Bow wave

25. Aménagement de paysages pour la santé des plantes basé sur des modèles

29. Regards croisés sur l'effet des espaces semi-naturels et de l'assolement sur les bio-agresseurs de grandes cultures

30. CRITICAL VIEWS ON THE EFFECT OF SEMI-NATURAL SPACES AND CULTIVATED AREAS ON BIO-AGGRESSORS OF GRAIN CROPS

35. Multi-scale studies of the relationships between cropping structure and pest and disease regulation services

36. Limited genetic structure and demographic expansion of the Brassicogethes aeneus populations in France and in Europe.

38. MOCEM V4 - radar simulation of ship at sea for SAR and ISAR applications

39. Coral reef fish populations can persist without immigration

42. Two‐scale dispersal estimation for biological invasions via synthetic likelihood.

44. Dynamique de population et contrôle des vecteurs non domiciliés de la maladie de Chagas

45. Population dynamics and control of non domiciliated vectors of Chagas disease

47. Residual Infestation and Recolonization during UrbanTriatoma infestansBug Control Campaign, Peru1

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