Essays about: "Waste classification"

Showing result 1 - 5 of 36 essays containing the words Waste classification.

1. 1. IMPROVING NONDISCRIMINATIVE CLASSIFIERS WITH THE HELP OF CLUSTERING : Enhancing Text Classification: Using Clustering For Improved Classifier Performance

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Martin Mickels; [2023]
   Keywords : classification; waste; Avfallsloggen; clustering; nondiscriminative;

   Abstract : A common classification task of today is classifying resources that consist of words. Nondiscriminative classifiers are a popular type of classifiers for such classification. This paper presents a study that determines whether a method of using clusters of words found in training data can be utilized for improved classifier performance. READ MORE

3. 2. Mapping and analysing the current waste paper recycling system in Europe for a new fiber-based packaging material

   University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

   Author : Hande Seker Cakal; [2023]
   Keywords : Separate waste collection; material recovery; material recycling; extended producer responsibility; fiber-based cushioning packaging; Separat avfallsinsamling; materialåtervinning; utökat producentansvar; fiberbaserad dämpningsförpackning;

   Abstract : Fiber-based packaging has emerged as an alternative to plastic packaging, driven by concerns regarding environmental impact and excessive usage of plastic. In response to market trends favouring circular packaging solutions, Stora Enso is preparing to introduce Papira, an innovative fiber-based cushioning packaging material, in Europe. READ MORE

4. 3. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning

   University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

   Author : David Rydgård; [2023]
   Keywords : Fiber networks; Paperboard mechanics; Deep learning; Tomography; Image analysis; Technology and Engineering;

   Abstract : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. READ MORE

5. 4. Reusage classification of damaged Paper Cores using Supervised Machine Learning

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Max Elofsson; Victor Larsson; [2023]
   Keywords : Machine Learning; Supervised Learning; classification; 3D sensor; TriSpector1008; SICK; paper core; paper mill; KNN; Support Vector Machine; Decision Trees; Random Forest; Maskininlärning; klassificering; papperskärna; pappersbruk;

   Abstract : This paper consists of a project exploring the possibility to assess paper code reusability by measuring chuck damages utilizing a 3D sensor and usingMachine Learning to classify reusage. The paper cores are part of a rolling/unrolling system at a paper mill whereas a chuck is used to slow and eventually stop the revolving paper core, which creates damages that at a certain point is too grave for reuse. READ MORE

6. 5. FoodTracker: Grow your own tree : Managing food waste using web technologies

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Alexandra Mitu; [2023]
   Keywords : web technologies; responsive web app; food waste; digital food inventory; visualization; virtual avatars; NodeJS; React; MongoDB;

   Abstract : Food waste has become a serious matter which negatively impacts the environment worldwide. This raises the issue of managing food waste more efficiently, which in many cases can be aided with technology, and there has been previous research suggesting possible solutions. READ MORE