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Volume 12

December 2025, Volume 12, Number 4

About an Automating Annotation Method for Robot Markers
Wataru Uemura and Takeru Nagashima, Ryukoku University, Japan

September 2025, Volume 12, Number 3

Preserving Employees' Personal Knowledge During the Transition to Automated Production
Ekaterina Mashina, Germany

June 2025, Volume 12, Number 2

Comparing Classifiers in the Presence of Errors in True Label Assignment in Medical Datasets
Vishwa Vallabh Angampally and Eugene Pinsky, Metropolitan College Boston University, USA

March 2025, Volume 12, Number 1

Revolutionizing Big Data with AI-Driven Hybrid Soft Computing Techniques
Praveen Kumar Myakala, Anil Kumar Jonnalagadda and Prudhvi Naayini, Independent Researchers, USA
Understanding the Heterogeneous Impact of Remittances on Saving Behaviour in Uzbekistan: A Machine Learning Approach
Masuda Isaeva, Asakabank, Uzbekistan
Cluster-Specific Propensity Score Weighting To Stabilize Treatment Effect Estimation
Hardev Ranglani, EXL Service Inc, USA
Artificial Intelligence and Cloud Computing in Healthcare: Innovations and Impacts
Mohammad Amir Salari, Saint Louis University, USA
Artificial Intelligence Based Business Transformation Projects-the Role of Data Sciences in Mixed-Methods Patterns (RDSMMP)
Antoine Trad, IBISTM, France
Estimating the Accuracy of a Bagged Ensemble
Eugene Pinsky and Siddhant Shah, Boston University, USA
Analyzing Fashion Trends Using Hierarchical Clustering and Temporal Analysis
Shivani Parab and Eugene Pinsky, Boston University, USA
Quantile Regression with Q1/Q3 Anchoring: A Robust Alternative for Outlier-Resistant Modeling
Xiaoying Zeng and Eugene Pinsky, Boston University, USA
An Adaptive Hierarchical Tree-Based Clustering Approach to Outlier Detection in ETF-Focused Financial Time-Series
Shlok Mandloi, Aryaman Jalali, and Eugene Pinsky, Boston University, USA
Detection of Alzheimer’s Disease using Bidirectional LSTM and Attention Mechanisms
Mehdi Ghayoumi and Kambiz Ghazinour, SUNY, USA
Analysis of Unsupervised Clustering Algorithms and Impact of Dimensionality Reduction: A Data Driven Approach
Palak Narula, Adobe Inc., India