Thapar Institute of Engineering & Technology

A robust optimization framework for energy management in smart EV parking lots

The increasing penetration of electric vehicles (EVs), renewable energy sources, and uncertain electricity market conditions has created significant challenges for efficient energy management in smart EV parking lots. This paper proposes a hybrid multi-objective optimization fram...

When Headlines Harm: Deconstructing “Queer Danger” in Online News Headlines on the Queer Community in India

Since 2018, adults in India have been able to engage in same-sex intimacy legally following the decriminalization of homosexual acts. Yet legal decriminalization alone does not determine how the press covers queerness in India, or what that coverage reveals about the cultural con...

Comparative Analysis of Runoff–Sediment Dynamics in Controlled and Uncontrolled Micro-Watershed

This study investigates the runoff-sediment dynamics across three controlled micro-watersheds, with an uncontrolled micro-watershed serving as a reference. The event-based analysis was based on 9 years of monitoring data. The statistical and hydrological regime classification res...

Surrogate-Driven Multi-Objective SMEPO Framework for Optimal EEG Channel and Feature Selection in Motor Imagery BCI

Abstract Brain-computer interfaces (BCIs) hold significant potential in communication, mechatronic control, and rehabilitation. However, existing BCI systems are often expensive, and require laborious preparation. A major challenge in motor imagery (MI)-based BCIs is the effectiv...

Hierarchical CNT-Cu hybrid coatings for enhanced and durable pool boiling heat transfer: Mechanistic insights and CHF modelling

Enhancing boiling heat transfer through scalable and sustainable surface engineering is critical for high heat-flux thermal management systems. This study investigates pool boiling performance on copper substrates functionalized with hierarchical carbon nanotube (CNT) and CNT-Cu...

Impact of Indian Accounting Standards on Expense‐Revenue Matching Quality: An Industry‐Level Analysis

ABSTRACT The study examines the industry‐level impact of Indian Accounting Standards (Ind‐AS), largely converged with International Financial Reporting Standards (IFRS), on the matching quality of expenses with revenues. Using matching‐quality attributes, the study employs both a...

Predicting academic success: The roles of emotions, stress and prior grades

BACKGROUND AND OBJECTIVE: Emotional regulation, anxiety, perceived academic stress and prior grades each predict academic success, but existing research treats them as independent predictors rather than testing whether their effects converge through a shared emotional pathway, a...

High-performance next-generation screening technology system using teaching–learning-based optimization for cancer detection

Abstract Early and accurate detection of breast cancer remains challenging due to high-dimensional clinical data, feature redundancy, and limitations of existing diagnostic decision systems. To address these issues, this study proposes a hybrid feature selection and classificatio...

TRUST-SC: truthful multi-task double auction for quality-aware spatial crowdsourcing in strategic environment

Spatial crowdsourcing (SC) enables the assignment of location-based tasks to mobile users who must travel to specific locations to perform sensing or service activities. However, SC systems often operate in strategic environments where both task requesters and task executors poss...

Carbon Quantum Dot-Modifiedg-C3N5 and g-C3N4 Nanocompositesfor Sunlight-Driven Wastewater Remediation

Abstract Carbon quantum dot (CQD)-modified carbon nitride nanocomposites have emerged as promising sunlight photocatalysts for wastewater remediation owing to their tunable electronic structures and efficient charge-transfer properties. Herein, CQD-modified g-C3N4 (N4Q) and g-C3N...

XP-IDS: an explainable hybrid CNN–XGBoost framework for IoT intrusion detection

Abstract The rapid growth of IoT-enabled technologies and interconnected smart devices has significantly increased security risks associated with poorly protected and resource-constrained IoT environments. Efficient anomaly detection mechanisms can help mitigate these threats by...

Floral biomass as a platform for next-generation nanostructured materials: A review

Floral biomass, an underutilized and seasonally abundant biowaste, has recently emerged as a promising sustainable precursor for the synthesis of nanostructured materials. Rich in carbonaceous compounds, natural pigments, and heteroatom-containing biomolecules, floral residues en...