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20232026
most citedStrategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production

10 citations · 17 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

DCM-SAM: Defect-Conditioned Mixture of LoRA Experts for NPU-Deployed AM Defect Segmentation

Md Mushfiqur Rahaman, Md Mahedi Hasan, Imtiaz Ahmed +1

Metal additive manufacturing parts are inspected by X-ray computed tomography, where labelled data is scarce, the pores and inclusions that matter span a few pixels, and inspection…

cs.CV2026

Unsupervised Keypoints for Real-Time Fall Detection: Comparative Analysis Under Real-world Conditions with Predictive Bandwidth Reduction

Tasmiah Haque, Jacob Kosinski, Sumit Mohan +2

Falls among older adults are a major safety and health-systems challenge, yet continuous in-person monitoring is difficult to sustain across home and clinical care settings. Video-…

cs.CV2026

XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation

Md Mahedi Hasan, Md Mushfiqur Rahaman, Alan Pachkovskiy +3

Defect segmentation in additive manufacturing (AM) X-ray computed tomography (XCT) images remains challenging due to severe class imbalance and large distribution shifts across sca…

cs.LG2026

MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs

Shubhadip Nag, Srinjoy Das, Agniva Saha +5

LLMs can be conveniently adapted to a diverse set of tasks, e.g, prediction, question-answering tasks, etc, using appropriate prompts with few-shot examples. Biased or harmful conc…

astro-ph.HE2026

Multimodal Transformer Based Generic Mixture Density Network for Scattering Timescale Estimation of Fast Radio Bursts

Bikash Kharel, Emmanuel Fonseca, Srinjoy Das +5

The discovery rate of fast radio bursts (FRBs) continues to increase with the advent of new radio facilities and yet extracting their astrophysical parameters such as scattering ti…