International Institute of Information Technology

AVMD-ST: attention-variational mode decomposition based spectrogram transformer for differential diagnosis of asthma and COPD

Lung auscultation analysis is a fundamental and mostly used clinical method for diagnosing pulmonary disorders; however, distinguishing between chronic obstructive pulmonary disease (COPD) and Asthma remains difficult because of the overlap in physiological and structural charact...

Machine learning-based pre-print build adhesion prediction in FDM using STL geometric features

Build adhesion failure is one of the major causes of defects and print loss in fused deposition modelling (FDM). This study proposes an automated framework to extract layer-wise geometric features from STL models and predict build adhesion requirements before printing begins. A P...

A drift-aware explainable artificial intelligence framework for dynamic construction risk governance using multi-domain fuzzy inference and Bayesian updating

Purpose Construction projects operate in highly dynamic environments where project risks evolve continuously as new information becomes available. Conventional risk assessment approaches are predominantly static and provide limited capability to adapt to temporal changes or gener...

Emerging materials and technologies for next-generation sensors in smart IoT systems: a comprehensive review

As the Internet of Things (IoT) continues to advance at an unprecedented rate, there is a growing need for intelligent, adaptable, low-power and sustainable sensing platforms that can operate autonomously over long periods. This paper examines the technological advances in IoT se...

Deep learning-based multi-modal imaging for early detection of brain tumour

Early and accurate discovery of brain tumours is crucial for timely diagnosis and effective treatment planning. In this work, we put forward an explainable multimodal CNN–Transformer framework, kind of merges MRI and CT cues in a complementary way, using attention-guided multimod...

Electroosmotic-peristaltic flow of a couple stress fluid: a hybrid analytical-numerical analysis of critical reflux and flow reversal

Purpose Electroosmotic and peristaltic mechanisms play an important role in controlling fluid transport in microfluidic and physiological systems. The combined effects of arbitrary Reynolds number, electrokinetic forcing and couple-stress rheology strongly influence microscale tr...

Swin-DAFU: denoising-augmented feature fusion unit for breast lesion segmentation and classification in 2D mammograms

Breast lesion segmentation and benign/malignant classification from 2D mammographic images remain challenging because lesion boundaries are often subtle, irregular, and affected by variations in breast density, image contrast, and acquisition conditions. This study presents Swin-...