Essays about: "e-mails"
Showing result 1 - 5 of 36 essays containing the word e-mails.
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1. An inventory optimization toolbox in SMEs
University essay from Göteborgs universitet/Graduate SchoolAbstract : Introduction - The globalization of e-commerce and the emergence of supply chains have allowed SMEs to join in shaping the global economy. Although SMEs contribute a lot to global development, they usually experience a number of challenges in their daily operations affecting their profitability and performance. READ MORE
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2. Intrusion Detection systems : A comparison in configuration and implementation between OSSEC and Snort
University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Abstract : Hackare fortsätter att bli bättre på att få otillåten tillgång till våra datorer och kan undvika de mest grundläggande intrångsskyddade system och brandväggar på en standarddator. Då numren av intrång växer varje år och kostar företag miljoner av dollar, så verkar gapet mellan attackerare och försvarare att bli större. READ MORE
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3. Phishing : A qualitative study of users' e-mail classification process, and how it is influenced by the subjective knowledge
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. E-mail phishing is a type of social engineering where the threat actor sends e-mails with the intention to, for example, gain sensitive information or gain access to sensitive assets. READ MORE
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4. Categorization of Swedish e-mails using Supervised Machine Learning
University essay from KTH/Hälsoinformatik och logistikAbstract : Society today is becoming more digitalized, and a common way of communication is to send e-mails. Currently, the company Auranest has a filtering method for categorizing e-mails, but the method is a few years old. The filter provides a classification of valuable e-mails for jobseekers, where employers can make contact. READ MORE
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5. Predicting average response sentiments to mass sent emails using RNN
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study is concerned with using the popular Recurrent Neural Network (RNN) model, and its variants Gated Recurrent Unit (GRU) and Long-Short Term Memory (LSTM), on the novel problem of Sentiment Forecasting (SF). The goal of SF is to predict what the sentiment of a response will be in a conversation, using only the previous utterance. READ MORE