{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:04:06Z","timestamp":1760231046775,"version":"build-2065373602"},"reference-count":13,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T00:00:00Z","timestamp":1661472000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The trending techniques for managing indoor and outdoor intelligent environments rely heavily on data acquisition through a diversity of heterogeneous Internet of Things (IoT) devices and sensors [...]<\/jats:p>","DOI":"10.3390\/s22176427","type":"journal-article","created":{"date-parts":[[2022,8,30]],"date-time":"2022-08-30T01:37:55Z","timestamp":1661823475000},"page":"6427","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Emerging Sensors Techniques and Technologies for Intelligent Environments"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6166-5266","authenticated-orcid":false,"given":"Ionut","family":"Anghel","sequence":"first","affiliation":[{"name":"Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tudor","family":"Cioara","sequence":"additional","affiliation":[{"name":"Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Pop, C.D., Antal, M., Cioara, T., Anghel, I., and Salomie, I. (2020). Blockchain and Demand Response: Zero-Knowledge Proofs for Energy Transactions Privacy. Sensors, 20.","DOI":"10.3390\/s20195678"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Jurj, D.I., Czumbil, L., B\u00e2rg\u0103uan, B., Ceclan, A., Polycarpou, A., and Micu, D.D. (2021). Custom Outlier Detection for Electrical Energy Consumption Data Applied in Case of Demand Response in Block of Buildings. Sensors, 21.","DOI":"10.3390\/s21092946"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Acosta, C.E., Gil-Casti\u00f1eira, F., Costa-Montenegro, E., and Silva, J.S. (2021). Reliable Link Level Routing Algorithm in Pipeline Monitoring Using Implicit Acknowledgements. Sensors, 21.","DOI":"10.3390\/s21030968"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Stoica, A., Kadar, T., Lemnaru, C., Potolea, R., and D\u00een\u015foreanu, M. (2021). Intent Detection and Slot Filling with Capsule Net Architectures for a Romanian Home Assistant. Sensors, 21.","DOI":"10.3390\/s21041230"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Chifu, V.R., Pop, C.B., Demjen, D., Socaci, R., Todea, D., Antal, M., Cioara, T., Anghel, I., and Antal, C. (2022). Identifying and Monitoring the Daily Routine of Seniors Living at Home. Sensors, 22.","DOI":"10.3390\/s22030992"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Park, S., Jung, S., Lee, H., Kim, J., and Kim, J.-H. (2021). Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data. Sensors, 21.","DOI":"10.3390\/s21041462"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Antal, M., Cristea, A.-A., P\u0103durean, V.-A., Cioara, T., Anghel, I., Antal, C., Salomie, I., and Saintherant, N. (2021). Heating Homes with Servers: Workload Scheduling for Heat Reuse in Distributed Data Centers. Sensors, 21.","DOI":"10.3390\/s21082879"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Popa, C.L., Dobrescu, T.G., Silvestru, C.-I., Firulescu, A.-C., Popescu, C.A., and Cotet, C.E. (2021). Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities. Sensors, 21.","DOI":"10.3390\/s21217329"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ripoll, N.G., Aguilera, L.E.G., Belenguer, F.M., Salcedo, A.M., and Ballester Merelo, F.J. (2021). Design, Implementation, and Configuration of Laser Systems for Vehicle Detection and Classification in Real Time. Sensors, 21.","DOI":"10.3390\/s21062082"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez Gonz\u00e1lez, A.B., Vinagre D\u00edaz, J.J., Wilby, M.R., and Fern\u00e1ndez Pozo, R. (2022). Data-Driven Performance Evaluation Framework for Multi-Modal Public Transport Systems. Sensors, 22.","DOI":"10.3390\/s22010017"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Lee, Y., and Lee, G.Y. (2021). Security Management Suitable for Lifecycle of Personal Information in Multi-User IoT Environment. Sensors, 21.","DOI":"10.3390\/s21227592"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Cruz, M., Mafra, S., Teixeira, E., and Figueiredo, F. (2022). Smart Strawberry Farming Using Edge Computing and IoT. Sensors, 22.","DOI":"10.3390\/s22155866"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Terentev, A., Dolzhenko, V., Fedotov, A., and Eremenko, D. (2022). Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review. Sensors, 22.","DOI":"10.3390\/s22030757"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/17\/6427\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:15:40Z","timestamp":1760141740000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/17\/6427"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,26]]},"references-count":13,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["s22176427"],"URL":"https:\/\/doi.org\/10.3390\/s22176427","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2022,8,26]]}}}