Essays about: "manual processing problems"

Showing result 1 - 5 of 18 essays containing the words manual processing problems.

1. 1. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

   University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

   Author : Marko Plavetic; [2023-06-26]
   Keywords : benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

   Abstract : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. READ MORE

3. 2. Prompt-learning and Zero-shot Text Classification with Domain-specific Textual Data

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Hengyu Luo; [2023]
   Keywords : prompt-learning; zero-shot; few-shot; text classification; domain-specific; retail sector domain; customer-agent interaction; transformer; large language models; ChatGPT; natural language processing; machine learning; deep learning;

   Abstract : The rapid growth of textual data in the digital age presents unique challenges in domain-specific text classification, particularly the scarcity of labeled data for many applications, due to expensive cost of manual labeling work. In this thesis, we explore the applicability of prompt-learning method, which is well-known for being suitable in few-shot scenarios and much less data-consuming, as an emerging alternative to traditional fine-tuning methods, for domain-specific text classification in the context of customer-agent interactions in the retail sector. READ MORE

4. 3. Static Analysis Of Client-Side JavaScript Code To Detect Server-Side Business Logic Vulnerabilities

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Frederick van der Windt; [2023]
   Keywords : JavaScript; Static Analysis; Business Logic Vulnerabilities; Client-side; Fuzzing; Black-box; JavaScript; statisk analys; sårbarheter i affärslogiken; klientsidan; Fuzzing; Black-box;

   Abstract : In the real world, web applications are crucial in various domains, from e-commerce to finance and healthcare. However, these applications are not immune to vulnerabilities, particularly in business logic. Detecting such vulnerabilities can be challenging due to the complexity and diversity of application functionality. READ MORE

5. 4. Can Commercially available AI services reduce costs within the media analysis industry? : A case study

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Natasha Donner; Axel Stemme; [2023]
   Keywords : Artificial Intelligence; Automation; ChatGPT; Customer Support; GPT3; Artificiell intelligens; Automatisering; ChatGPT; Kundtjänst; GPT3;

   Abstract : This bachelor thesis examines the potential advantages of implementing artificial intelligence (AI) services in the context of customer support. With the rise of chatbots utilizing Natural Language Processing (NLP), AI has recently become a widely debated topic. READ MORE

6. 5. Root Cause Analysis and Classification for Firewall Log Events Using NLP Methods

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Tongxin Wang; [2022]
   Keywords : Log Analysis; BERT; Natural Language Processing; Log Classification; Transformers; Log Analysis; BERT; Naturligt språk-behandling; Log-Klassificering; Transformers;

   Abstract : Network log records are robust evidence for enterprises to make error diagnoses. The current method of Ericsson’s Networks team for troubleshooting is mainly by manual observation. However, as the system is getting vast and complex, the log messages show a growth trend. READ MORE