Volume 14 Number 22 - 5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024)

Volume 14, Number 22, November 2024

5^th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024), November 16 ~ 17, 2024, Zurich, Switzerland

Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds)
ISBN : 978-1-923107-43-4

Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts

Naseela Pervez¹ and Alexander J. Titus^1,2, ¹University of Southern California, USA, ²In Vivo Group, USA

Identifying Students at Risk From Online Clickstream Data using Machine Learning

Hadeel Alhabdan and Ala Alluhaidan, Princess Nourah bint Abdulrahman University, Saudi Arabia

Systematic Overview of Machine Learning Applied for Propaganda Social Impact Research

Darius Plikynas, Vilnius University, Lithuania

Smishing Detection Application by using AI

Hanan Alossimi, Nouraalotaibi, Alhnouf alsubaie and Hanan Aljuaid, Princess Nourah Bint Abdul Rahman University, Saudi Arabia

A Survey of Evaluating Question Answering Techniques in the Era of Large Language Model LLM

Jassir Altheyabi, Khaled Almuteb and Bader Alshemaimry, King Saud University, Saudi Arabia

Unsupervised Learning of Shape Segment Point Distribution Models with the EM algorithm

Abdullah A. AlShaher, Public Authority for Applied Education and Training, Kuwait

Security Assurance and Repudiation Threats

Srinivas Rao Doddi¹ and Akshay Krishna Kotamraju², ¹University of Los Angeles, USA, ²Founder Non-profit, USA

The Gambit of De-Dollarization: Unveiling New Currency Frontiers through NLP

Vineeth Kumar Reddy Anumula and Niskhep A Kulli, Sacred Heart University, USA

Video Anomaly Detection for Industrial Equipment with Multi-Pattern Repetition

Kasahara¹, Takayuki Kajiwara² and Hidetaka Nambo², ¹Industrial Research Institute of Ishikawa, Japan, ²Kanazawa University, Japan

Holistic Integration of Zigbee Technology for Optimized Sensor Calibration in Wireless Sensor Networks

Igor Medenica^1,3, Milos Jovanovic^1,2, Jelena Vasiljevic¹, Dragan Lazic² and Dhinaharan Nagamalai⁴, ¹University Union, Serbia, ²Ministry of Defense Republic of Serbia, Serbia, ³Electric Power Distribution of Serbia, Serbia, ⁴Wireilla, Australia

An Empirical Study of Prompt-Based Non-Functional Requirements Classification

Xia Li, Kennesaw State University, USA

Comparative Analysis of Mel-Frequency Cepstralcoefficients Andwavelet based Audio Signal Processing for Emotion Detection Andmental Health Assessmentin Spoken Speech

Idoko Agbo, Hoda El-Sayed and M.D Kamruzzan Sarker, Bowie State University, United States

CS&IT Conference Proceedings

5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024), November 16 ~ 17, 2024, Zurich, Switzerland

Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds) ISBN : 978-1-923107-43-4

Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts

Identifying Students at Risk From Online Clickstream Data using Machine Learning

Systematic Overview of Machine Learning Applied for Propaganda Social Impact Research

Smishing Detection Application by using AI

A Survey of Evaluating Question Answering Techniques in the Era of Large Language Model LLM

An HFB Interface for the Adoption of Blockchain in Data Spaces

Distributed Blockchain-Based Firmware Update Architecture for IoT Environments

XAI for All: Can Large Language Models Simplify Explainable AI?

JCHAOSINDEX: Measuring and Benchmarking Dispersion in Randomized Data

Emulating a Computing Grid in a Local Environment for Feature Evaluation

Optimization of Solar Energy Integration in Smart Grid Solutions

Unsupervised Learning of Shape Segment Point Distribution Models with the EM algorithm

Security Assurance and Repudiation Threats

The Gambit of De-Dollarization: Unveiling New Currency Frontiers through NLP

Video Anomaly Detection for Industrial Equipment with Multi-Pattern Repetition

Holistic Integration of Zigbee Technology for Optimized Sensor Calibration in Wireless Sensor Networks

An Empirical Study of Prompt-Based Non-Functional Requirements Classification

Comparative Analysis of Mel-Frequency Cepstralcoefficients Andwavelet based Audio Signal Processing for Emotion Detection Andmental Health Assessmentin Spoken Speech

5^th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024), November 16 ~ 17, 2024, Zurich, Switzerland

Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds)
ISBN : 978-1-923107-43-4