Indraprastha Institute of Information Technology Delhi

Model-based pupil deconvolution reveals latent attentional dynamics

Changes in pupil size have been widely used as an indirect measure of attention. However, attention engages on a faster timescale than the pupillary response. Therefore, the slow time course of the pupil response makes it difficult to distinguish attentional responses to stimuli...

Functionalized WS2 Electronic Nose for Volatile Organic Compound Mixture Recognition via Chemically Informed Transformer Learning

Abstract Accurate detection and discrimination of volatile organic compounds (VOCs) in complex environments using chemiresistive sensors remains a major challenge, mainly due to overlapping responses (cross-sensitivity) and environmental interferences. In this study, we have deve...

Novel HEP-FIB score combined with machine learning models for non-invasive prediction of significant hepatic fibrosis in chronic hepatitis B patients: a single-center, internally validated study

Chronic hepatitis B (CHB) remains a major global health burden. Assessment of hepatic fibrosis is important for risk stratification and guiding treatment in CHB. Liver biopsy, the reference standard for fibrosis staging, is invasive, and fraught with potential complications, crea...

Scalable molecular representations enabled by multimodal fusion and sequence distillation

Molecular prediction depends on how chemical structures are represented, yet descriptors capture only partial aspects of chemical information. Here, we show that the Chemical Dice Integrator combines six complementary molecular views spanning physicochemical properties, molecular...

Harnessing WiFi Sensing for Video-less Assessment of Participants’ Engagement during Online Synchronous Meetings

We propose a multi-modal, non-intrusive, and privacy-preserving system WiFiTuned for assessing a behavioral proxy of engagement of users during synchronous online meetings. It uses two sensing modalities, i.e., WiFi Channel State Information (CSI) and audio, captured over the mee...

Tight (Double) Exponential Bounds for Identification Problems: Locating-Dominating Set and Test Cover

Abstract. We investigate fine-grained algorithmic aspects for classical identification problems in graphs, namely, Locating-Dominating Set, and in set systems, namely, Test Cover. In the first problem, an input is a graph [Formula: see text] on [Formula: see text] vertices and an...

Scaling limit of a drainage network model on a perturbed lattice

Abstract The study of random networks generally requires that vertices be independently and uniformly distributed over disjoint regions such as a Poisson point process. In this work, we venture beyond this standard paradigm and investigate a stochastic forest obtained from a drai...

On weak bounded negativity conjecture

In the first part of this article, we give bounds on self-intersections C2 of integral curves C on blow-ups BlnX of surfaces X with the anti-canonical divisor −KX effective. In the last part, we prove the weak bounded negativity for self-intersections C2 of integral curves C in a...