Bennett University

Unveiling the Role of Mo in MnCoMo Oxide for Efficient Hydrogen Production via Alkaline Seawater Electrolysis

Abstract Direct seawater electrolysis is a promising strategy for large-scale green hydrogen production, yet it remains hindered by the poor selectivity and durability of earth-abundant electrocatalysts under chloride-rich conditions. Here, we report a systematic investigation of...

Discovery and Modulation of an Unusual Terminal Mismatch Bypass Activity Involving 3′-Phosphorothioated Primers and Commercial Strand Displacement DNA Polymerases

Abstract Phosphorothioated (PST) oligonucleotides are extensively used in RNA therapeutics and biosensing applications. PST-modified linkages remain part of 13 approved oligonucleotide drug backbones (out of 23 total approved drugs). Despite the widespread utilization of PST link...

An integrated scientometric and BERTopic-based analysis on examining the role of artificial intelligence in achieving Sustainable Development Goals (SDGs)

This study investigates the role of Artificial Intelligence (AI) in achieving the United Nations Sustainable Development Goals (SDGs) through a comprehensive scientometric analysis. It explores the evolution of scholarly research, identifies leading contributors, maps thematic tr...

Optimized AI‐Driven Intelligent Transportation Systems for Secure Communication and Traffic Management in Post‐5G Networks

ABSTRACT After 5G vehicular networks, an intelligent transportation system with an AI‐based framework encompasses the real‐time traffic management, security, and quality of service for safer communication. This paper proposes a new comprehensive framework for improving vehicular...

AdaGraph-HATE for real-time gendered hate speech detection in multilingual social media

Social networking sites process millions of messages daily, yet detecting implicit misogyny remains challenging due to sarcasm, cultural variation, and language-dependent expressions. Existing approaches demonstrate promising results but suffer from limited language adaptation an...

A spatiotemporal deep learning framework for detecting unusual human activity in surveillance videos

With smart gadgets and computers everywhere, real-time video monitoring is now necessary to keep people secure and lower the chance of unexpected human actions. However, current surveillance systems have a lot of trouble effectively spotting unusual actions in real life. Most of...

Self-supervised knowledge distillation for few-shot single-stage 3D object detection

Conventional deep learning models for 3D object detection require a large number of annotated bounding boxes and substantial computational resources, which limit their applicability in data- and resource-constrained autonomous driving scenarios. To address this challenge, this pa...

A PSO-Optimized stacked ensemble learning approach for accurate melanoma detection with deep transfer learning and explainability

Abstract Accurate melanoma detection is essential for early-stage dermatological diagnosis, as it significantly improves treatment outcomes and patient survival rates. This study proposes a robust stacked ensemble framework that combines transfer learning (TL) with particle swarm...

From Noise to Knowledge: Distill Social Media Opinions on Rumor Detection Exploiting LLMs

The majority of social media research relies on datasets gathered from social media websites such as Reddit and Twitter. However, their intrinsic high noisy content reduces the performance of data-driven models. This restriction of noisy data has made data preparation techniques...

IHFD: an improved heartbeat-based failure detector of $$\Diamond \,P$$ class for partially synchronous hierarchical distributed systems

Fundamentally, failure detectors are important for failure detection in distributed systems, particularly in partially synchronous environments, where message delays and process failures are unavoidable. This paper proposed an Improved Heartbeat-based Failure Detector (IHFD) for...

Developing a library-led research intelligence dashboard for institutional research visibility and analytics

Academic libraries are increasingly supporting institutional research visibility through research intelligence and bibliometric services. This study presents the design, implementation, and preliminary operational evaluation of a library-led research intelligence dashboard that i...