Sökning: "langage"

Visar resultat 1 - 5 av 23 uppsatser innehållade ordet langage.

1. 1. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Ivan Baheux; [2023]
   Nyckelord :Android Application Security; Vulnerability Detection; Context-Awareness; Model-Based Security Testing; Domain Specific Language; Sécurité des Applications Android; Détection de Vulnérabilités; Sensibilité au Contexte; Tests de Sécurité Basés sur les Modèles; Langage Dédiés; Android-applikationssäkerhet; Upptäckt av sårbarheter; Kontextmedvetenhet; Modellbaserad säkerhetstestning; Domänspecifikt språk;

   Sammanfattning : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. LÄS MER

3. 2. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Thomas Bouquet; [2023]
   Nyckelord :Natural Language Processing; Transformers; Deep Learning; Cost Prediction; Traitement Automatique du Langage; Transformers; Apprentissage Profond; Prédiction de coûts; Behandling av naturligt språk; Transformers; Djupinlärning; Kostnadsförutsägelser;

   Sammanfattning : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. LÄS MER

4. 3. Certaines différences de langages dans les conversations réelles " : élèves-élèves" versus "élèves-chatbot"

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för språk (SPR)

   Författare :Eirini SILKEJ; [2022]
   Nyckelord :Français langue étrangère FLE ; Traitement du langage naturel; Intelligence artificielle IA; Linguistique et IA; Messagerie texte; Messagerie instantanée IM; Chatbot; Logiciel Discord; Communication médiatisée par ordinateur CMO.;

   Sammanfattning : Cette étude examine comment les élèves communiquent par écrit lorsqu'ils savent que leur interlocuteur est un autre élève humain par rapport à la façon dont ils communiquent lorsqu'ils savent que leur partenaire est un « chatbot », un agent conversationnel artificiel qui communique par écrit en utilisant le langage naturel. Les participants sont des lycéens d’un cours de français langue étrangère (FLE) en Suède. LÄS MER

5. 4. Finding duplicate offers in the online marketplace catalogue using transformer based methods : An exploration of transformer based methods for the task of entity resolution

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Robert-Andrei Damian; [2022]
   Nyckelord :Transformers; Language Models; Deep Neural Networks; Entity Resolution; Duplicate Detection; Entity Matching; Record Linkage; Contrastive Learning; e-commerce; Transformers; Modèles de langage; Apprentisage en profondeur; Résolution d’entité; Détection de doublons; Apprentisage contrastif; commerce électronique; Transformers; Språkmodeller; Djupinlärning; Entitetserkännande; Dubblettdetektering; Entitetsmatchning; Rekordkoppling; e-handel;

   Sammanfattning : The amount of data available on the web is constantly growing, and e-commerce websites are no exception. Considering the abundance of available information, finding offers for the same product in the catalogue of different retailers represents a challenge. This problem is an interesting one and addresses the needs of multiple actors. LÄS MER

7. 5. An Initial Investigation of Neural Decompilation for WebAssembly

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Adam Benali; [2022]
   Nyckelord :Decompilation; WebAssembly; Reverse Engineering; Neural Machine Translation; Décompilation; WebAssembly; Rétro-Ingénierie; Traduction Automatique Neuronale; Dekompilering; WebAssembly; Reverse Engineering; Neural Maskinöversättning;

   Sammanfattning : WebAssembly is a new standard of the World Wide Web that is used as a compilation target and which is meant to enable high-performance applications. As it becomes more popular, the need for corresponding decompilers increases, for security reasons for instance. LÄS MER