Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Artificial Intelligence and Robotics (34)
- Databases and Information Systems (25)
- Software Engineering (25)
- Data Science (3)
- Information Security (2)
-
- Social and Behavioral Sciences (2)
- Theory and Algorithms (2)
- Categorical Data Analysis (1)
- Cybersecurity (1)
- Education (1)
- Higher Education (1)
- Linguistics (1)
- Medical Specialties (1)
- Medicine and Health Sciences (1)
- Numerical Analysis and Scientific Computing (1)
- Other Statistics and Probability (1)
- Programming Languages and Compilers (1)
- Psychology (1)
- Radiology (1)
- Semantics and Pragmatics (1)
- Statistics and Probability (1)
- Systems Architecture (1)
- Institution
- Publication
- Publication Type
Articles 31 - 36 of 36
Full-Text Articles in Other Computer Sciences
Editorial Preview, Su-Cheng Haw
Editorial Preview, Su-Cheng Haw
Journal of Informatics and Web Engineering
This editorial highlights all 19 papers in the February issue that deal with the practical aspects of Machine Learning (ML), Artificial Intelligence (AI), Data Mining (DM), the Internet of Things (IoT), and other topics in Computer Science. This issue also includes suggestions for several worthwhile works that deserve further research. With effective from this volume, we will be publishing triannually in our February, June and October issues.
A Campus-Based Chatbot System Using Natural Language Processing And Neural Network, Tuan-Jun Goh, Lee-Ying Chong, Siew-Chin Chong, Pey-Yun Goh
A Campus-Based Chatbot System Using Natural Language Processing And Neural Network, Tuan-Jun Goh, Lee-Ying Chong, Siew-Chin Chong, Pey-Yun Goh
Journal of Informatics and Web Engineering
A chatbot is designed to simulate human conversation and provide instant responses to users. Chatbots have gained popularity in providing automated customer support and information retrieval among organisations. Besides, it also acts as a virtual assistant to communicate with users by delivering updated answers based on users' input. Most chatbots still use the traditional rule-based chatbot, which can only respond to pre-defined sentences, making the users unlikely to use the chatbot. This paper aims to design and build a campus chatbot for the Faculty of Information Science & Technology (FIST) of Multimedia University that facilitates the study life of FIST …
Using Ai For Qualitative Labeling: Consistency And Comparisons, James Mcintyre
Using Ai For Qualitative Labeling: Consistency And Comparisons, James Mcintyre
Honors Program Theses
This paper details a research study evaluating AI's ability to perform qualitative deductive coding. Multiple AI models were utilized and compared against three human coders and one expert coder. A series of 107 statements were sourced from a group discussion for a qualitative impact assessment of an organization. The AI models were provided these statements and directed to code them using the Community Capitals Framework. Two generations of AI models were evaluated. Overall, the AI achieved a fair level of agreement with the human annotators, but the alignment was far from perfect. Newer AI models did not increase agreement with …
Smart Homes And You: Iot Device Data Risks In An Ever-Changing World, Autumn Person
Smart Homes And You: Iot Device Data Risks In An Ever-Changing World, Autumn Person
Theses and Dissertations
Social media applications are increasingly seen as a national security threat and a cause for concern because they can be used to create user profiles on government personnel and on US citizens. These profiles could be used for big data and artificial intelligence purposes of interest to foreign governments. With the rise of big data and AI being used, foreign governments could use this data for a variety of purposes that can affect normal everyday citizens, not just high value personnel. IoT (Internet of Things) devices that the population uses everyday can also pose the same threat. These devices can …
Detecting Ai Generated Text Using Neural Networks, Jesus Guerrero
Detecting Ai Generated Text Using Neural Networks, Jesus Guerrero
Masters Theses (Archived)
For humans, distinguishing machine generated text from human written text is men- tally taxing and slow. NLP models have been created to do this more effectively and faster. But, what if some adversarial changes have been added to the machine generated text? This thesis discusses this issue and text detectors in general.
/="/">
/="/">The primary goal of this thesis is to describe the current state of text detectors in research and to discuss a key adversarial issue in modern NLP transformers. To describe the current state of text detectors a Systematic Literature Review was done on 50 relevant papers …
An Introduction To The Theory And Applications Of Bayesian Networks, Anant Jaitha
An Introduction To The Theory And Applications Of Bayesian Networks, Anant Jaitha
CMC Senior Theses
Bayesian networks are a means to study data. A Bayesian network gives structure to data by creating a graphical system to model the data. It then develops probability distributions over these variables. It explores variables in the problem space and examines the probability distributions related to those variables. It conducts statistical inference over those probability distributions to draw meaning from them. They are good means to explore a large set of data efficiently to make inferences. There are a number of real world applications that already exist and are being actively researched. This paper discusses the theory and applications of …