Preparing multi-modal data for natural language processing Provider: Videolectures.NET Language: en
Relationship between microbial communities and mercury species in the seawater of the Central Adriatic Sea Provider: Videolectures.NET Language: en
Connecting Professional Skill Demand with Supply Provider: Videolectures.NET Language: en
IOT Middleware for water management Provider: Videolectures.NET Language: en
Crop classification using PerceptiveSentinel Provider: Videolectures.NET Language: en
Identifikacija in upravljanje podatkov Provider: Videolectures.NET Language: sl
La contaminación atmosférica de origen atropogénico Provider: UNIVERSITAT POLITÈCNICA DE VALÈNCIA Language: es
Integración en un contexto global de los estudios de contaminación atmosférica. Provider: UNIVERSITAT POLITÈCNICA DE VALÈNCIA Language: es
Humanoidni roboti: zakaj jih potrebujemo in kdaj bodo postali uporabni Provider: Videolectures.NET Language: en
B3.2 Air pollution – Tracking down technology (worksheet) Provider: The Siemens Stiftung Media Portal Language: en
Making dirt in the air visible Provider: The Siemens Stiftung Media Portal Language: en
Link list for the "Air, wind, and weather" interactive whiteboard content Provider: The Siemens Stiftung Media Portal Language: en
Towards Social Media Mining: Twitterobservatory Provider: Videolectures.NET Language: en
Comparison of Arugula (Eruca sativa Mill.) and Escarole (Cichorium endivia L.) Interactions with Foliar- and Root-Applied Platinum Nanoparticles Provider: Videolectures.NET Language: en
Equilibrio energético en la atmósfera para estudios de contaminación atmosférica. Provider: UNIVERSITAT POLITÈCNICA DE VALÈNCIA Language: es
B3.2 Verschmutzung der Luft – Der Technik auf der Spur (Lösungsblatt) Provider: The Siemens Stiftung Media Portal Language: de
Wellenlängenbestimmung im Natrium-Spektrum Provider: TIB AV-Portal Language: de
Robotsko učenje senzomotoričnih veščin Provider: Videolectures.NET Language: sl
Clustering Trees with Instance Level Constraints Provider: Videolectures.NET Language: en
Learning from Labeled and Unlabelled Data: When the Smoothness Assumption Holds Provider: Videolectures.NET Language: en