Volume 14 Number 2 - 4th International Conference on AI, Machine Learning and Applications (AIMLA 2024)

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Volume 14, Number 2, January 2024

4^th International Conference on AI, Machine Learning and Applications (AIMLA 2024), January 27 ~ 28, 2024, Copenhagen, Denmark

Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds)
ISBN : 978-1-923107-17-5

Building a Robust Federated Learning based Intrusion Detection System in Internet of Things

Afrooz Rahmati, Afra Mashhadi, and Geethapriya Thamilarasu, University of Washington Bothell, USA

Improving Salience-Based Multi-Document Summarization Performance using a Hybrid Sentence Similarity Measure

Kamal Sarkar¹ and Sohini Roy Chowdhury², ¹Jadavpur University, India, ²RCC Institute Of Information Technology, India

An Energy-Based Comparative Analysis of Common Approaches to Text Classification in the Legal Domain

Sinan Gultekin, Achille Globo, Andrea Zugarini, Marco Ernandes and Leonardo Rigutini, expert.ai, Italy

Using Latent Dirichlet Allocation to Explore the Dimensionality of the U.S. Practice of Law

Patrick H. Gaughan, En Cheng, Taylor C. Burgess and Aine C. Bolton, University of Akron, USA

Unmasking Honey Adulteration: A Breakthrough in Quality Assurance through Cutting-Edge Convolutional Neural Network Analysis of Thermal Images

Ilias Boulbarj¹, Bouklouze Abdelaziz², Yousra El Alami², Douzi Samira² and Douzi Hassan¹, ¹Ibn Zohr University's -Agadir, Morocco, ²Mohammed V University in Rabat, Morocco

A Novel Machine Learning-Based Heart Murmur Detection and Classification using Sound Feature Analysis

Ram Sivaraman¹ and Joe Xiao², ¹Liberal Arts and Science Academy, USA, ²Optum/United Health Care, USA

Prior-Information Enhanced Reinforcement Learning for Energy Management Systems

Theo Zangato, Aomar Osmani and Pegah Alizadeh, Universite Paris Sorbonne Nord, France

Reviewing Fid and Sid Metrics on Generative Adversarial Networks

Ricardo de Deijn, Aishwarya Batra, Brandon Koch, Naseef Mansoor and Hema Makkena, Minnesota State University, United States of America

Neuralsentinel: Safeguarding Neural Network Reliability and Trustworthiness

Xabier Echeberria-Barrio, Mikel Gorricho, Selene Valencia and Francesco Zola, Basque Research and Technology Alliance (BRTA), Spain

Unsupervised Anomaly Detection

Suliman Alnutefy and Ali Alsuwayh, Marymount University, United States

Integrative Sentiment Analysis: Leveraging Audio, Visual, and Textual Data

Jason S. Chu¹ and Sindhu Ghanta², ¹USA, ²AIClub, USA

COVBERT: Enhancing Sentiment Analysis Accuracy in COVID-19 X Data through Customized BERT

Vanshaj Gupta¹, Jaydeep Patel¹, Safa Shubbar¹, and Kambiz Ghazinour², ¹Kent State University, USA, ²State University of New York, USA

Data Management for Trading, Risk and Regulatory Compliance in Investment Banking

Hemendra Vyas, New York University, New York

An Improved mT5 Model for Chinese Text Summary Generation

Fuping Ren², Jian Chen¹, and Defu Zhang¹, ¹Xiamen University, China, ²Shenzhen Comtech Technology Co. Ltd, China