Essays about: "logistic network"
Showing result 1 - 5 of 116 essays containing the words logistic network.
-
1. Android Malware Detection Using Machine Learning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. READ MORE
-
2. Political Participation of non-EU immigrants : Decoding Immigrants’ Electoral Involvement in Sweden
University essay from Högskolan Dalarna/Institutionen för kultur och samhälleAbstract : This paper studies the political participation (electoral) among non-EU immigrants in Sweden, via various socio-demographic, motivational, and relational factors. The theoretical frame is based on Verba et al.'s Civic Voluntarism model and previous research. READ MORE
-
3. Detection of insurance fraud using NLP and ML
University essay from Lunds universitet/Matematisk statistikAbstract : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. READ MORE
-
4. Demand Forecasting of Outbound Logistics Using Neural Networks
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. READ MORE
-
5. Comparison of deep learning and model-based approaches for spatial profiling of the immune tumor environment on multiplex image data
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The demographics of the tumor microenvironment (TME) impact the Immunotherapy responses for lung cancer patients. Given the heterogeneity of immune cells present within TME, the distribution patterns of different subpopulations of T-cells can be exploited to predict short-term or long-term survival of lung cancer patients. READ MORE