Items where Author is "Capela, N"

Journal article

HALL, H., BENCSIK, M., CAPELA, N., SOUSA, J.P. and DE GRAAF, D.C., 2025. Remote and automated detection of Asian hornets (Vespa velutina nigrithorax) at an apiary, using spectral features of their hovering flight sounds. Computers and Electronics in Agriculture, 235: 110307. ISSN 0168-1699

LEFEBRE, R., DE SMET, L., TEHEL, A., PAXTON, R.J., BOSSUYT, E., VERBEKE, W., VAN DOOREMALEN, C., ULGEZEN, Z.N., VAN DEN BOSCH, T., SCHAAFSMA, F., VALKENBURG, D.-J., DALL’OLIO, R., ALAUX, C., DEZMIREAN, D.S., GIURGIU, A.I., CAPELA, N., SIMÕES, S., SOUSA, J.P., BENCSIK, M., MCVEIGH, A., RAMSEY, M.T., AHMAD, S., KUMAR, T., SCHÄFER, M.O., BEAUREPAIRE, A.L., MORO, A., FLENER, C.J., MATTHIJS, S. and DE GRAAF, D.C., 2024. Allele frequencies of genetic variants associated with varroa drone brood resistance (DBR) in Apis mellifera subspecies across the European continent. Insects, 15 (6): 419. ISSN 2075-4450

BENCSIK, M., MCVEIGH, A., CLAEYS BOUUAERT, D., CAPELA, N., PENNY, F., NEWTON, M.I., SOUSA, J.P. and DE GRAAF, D.C., 2024. Quantitative assessments of honeybee colony’s response to an artificial vibrational pulse resulting in non-invasive measurements of colony’s overall mobility and restfulness. Scientific Reports, 14: 3827. ISSN 2045-2322

VAN DOOREMALEN, C., ULGEZEN, Z.N., DALL’OLIO, R., GODEAU, U., DUAN, X., SOUSA, J.P., SCHÄFER, M.O., BEAUREPAIRE, A., VAN GENNIP, P., SCHOONMAN, M., FLENER, C., MATTHIJS, S., CLAEYS BOÚÚAERT, D., VERBEKE, W., FRESHLEY, D., VALKENBURG, D.-J., VAN DEN BOSCH, T., SCHAAFSMA, F., PETERS, J., XU, M., LE CONTE, Y., ALAUX, C., DALMON, A., PAXTON, R.J., TEHEL, A., STREICHER, T., DEZMIREAN, D.S., GIURGIU, A.I., TOPPING, C.J., WILLIAMS, J.H., CAPELA, N., LOPES, S., ALVES, F., ALVES, J., BICA, J., SIMÕES, S., ALVES DA SILVA, A., CASTRO, S., LOUREIRO, J., HORČIČKOVÁ, E., BENCSIK, M., MCVEIGH, A., KUMAR, T., MORO, A., VAN DELDEN, A., ZIÓŁKOWSKA, E., FILIPIAK, M., MIKOŁAJCZYK, Ł., LEUFGEN, K., DE SMET, L. and DE GRAAF, D.C., 2024. Bridging the gap between field experiments and machine learning: the EC H2020 B-GOOD project as a case study towards automated predictive health monitoring of honey bee colonies. Insects, 15 (1): 76. ISSN 2075-4450