Research Article

Deep Learning for Plant Disease Detection: A Practical Framework for Image-Based Crop Diagnosis

Deep Learning for Plant Disease Detection: A Practical Framework for Image-Based Crop Diagnosis Read More »

Deep Learning for Skin Cancer Detection: A Practical Framework for Automated Skin Lesion Classification

This research note presents a practical deep learning framework for automated skin lesion classification, showing how AI can support skin cancer detection workflows through image-based analysis.

Deep Learning for Skin Cancer Detection: A Practical Framework for Automated Skin Lesion Classification Read More »

An End-to-End Data Quality Management Framework for Banking Systems with Generative AI Integration

This research note presents an end-to-end data quality management framework for banking systems, showing how generative AI can support profiling, validation, anomaly detection, root-cause analysis, and governance.

An End-to-End Data Quality Management Framework for Banking Systems with Generative AI Integration Read More »

AI-Assisted Protein Analysis: From Sequence Representation to Drug-Binding Hypothesis Generation

This research note explores how AI can support protein analysis, from sequence representation and structural interpretation to drug-binding hypothesis generation for early-stage drug discovery.

AI-Assisted Protein Analysis: From Sequence Representation to Drug-Binding Hypothesis Generation Read More »

Building a Persona-Driven Survey Engine Using AI for Synthetic User Modeling and Decision Simulation

This research note explores how an AI-powered persona-driven survey engine can simulate user responses, model synthetic personas, and support structured decision-making through feedback analysis.

Building a Persona-Driven Survey Engine Using AI for Synthetic User Modeling and Decision Simulation Read More »

Evolving Reasoning in Large Language Models: From Linear Chain-of-Thought to Graph-Based Diagram-of-Thought Frameworks

This research note explores how reasoning in large language models is evolving from linear chain-of-thought prompting to graph-based Diagram-of-Thought frameworks that support more structured, multi-path reasoning.

Evolving Reasoning in Large Language Models: From Linear Chain-of-Thought to Graph-Based Diagram-of-Thought Frameworks Read More »

From Simulation to Prediction: Data-Driven Modeling of Fluid Dynamics Using Artificial Intelligence

Can artificial intelligence learn the behaviour of fluid dynamics from simulation data? This research note explores how AI can support prediction of Rayleigh-Bénard convection using WALRUS and scientific machine learning.

From Simulation to Prediction: Data-Driven Modeling of Fluid Dynamics Using Artificial Intelligence Read More »

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