Vellore Institute of Technology University

Applications of double bond indices: Quantitative characterization of properties of benzenoid hydrocarbons

Topological indices (TIs) are widely used descriptors in QSAR/QSPR modeling, but conventional degree-based TIs neglect bond multiplicity, potentially limiting structural resolution. Thirteen extended double-bond-corrected TIs were derived via a Kekuúlé-structure-based edge classi...

Predictive Modeling of Urban Heat Stress Using Machine Learning: A 2050 UTCI-Based Assessment

Urban heat islands and increasingly severe thermal stress pose critical challenges to sustainable urban development, yet physics-based simulation tools remain computationally expensive and ill-suited to early-stage climate-responsive design. This study applies machine learning to...

Anisotropic photonic crystals for angle-independent light manipulation: fundamentals, design and practical implementation

One-dimensional photonic crystals (1D PhCs) are among the most fundamental building blocks of modern photonic devices owing to their simple, lithography-free architecture, ease of fabrication, and versatile optical properties. Their optical response can be reconfigured through ex...

Biointerfacial Multilayered Au-n-HAP/Polycaprolactone/Graphene Oxide Ti-Bone Implant: Electrochemical Stability, Interfacial Passivation Dynamics for Long-Term Corrosion Mitigation, and Accelerated Osteogenesis

Abstract Developing multifunctional biomaterials requires balancing mechanical strength and biological activity, leading to the exploration of multilayer coatings and interfacial properties to improve clinical effectiveness. The main goal is to develop Au-n-HAP/polycaprolactone (...

Stock market prediction with machine learning and deep learning models: task design, model alignment, and theory integration

Recent advances in machine learning (ML), deep learning (DL), and hybrid models have accelerated research on stock market prediction. However, existing reviews largely compare algorithms while giving limited attention to alignment among prediction tasks, data, models, evaluation,...

A thermodynamic interaction intelligence framework for advanced exergy‐based assessment of waste heat‐driven ORC – ERC and ORC – VCR systems

Abstract Integration of organic Rankine cycle (ORC) systems with refrigeration technologies offers a viable solution to recover low‐grade waste heat, while supporting cooling, heating and power generation. The article provides a comparative thermodynamic evaluation of waste‐heat...

Comparative assessment of energy recovery from landfill gas and incineration for municipal solid waste management in Chennai, India: a case study using the IPCC default method and first-order decay model

This case study attempts to assess the suitability of landfill gas-to-energy (LFGE) and waste-to-energy (WtE) through incineration systems to manage municipal solid waste (MSW) in Chennai, India. The estimation of methane emissions from two primary dumpsites of Chennai (Kodungaiy...

On solute dispersion by electroosmotic flow through a rectangular micro-channel subject to wall absorption

This paper investigates the all-time development of hydrodynamic solute dispersion in a two-dimensional electroosmotic flow through a three-dimensional rectangular microchannel with walls that absorb solute at a constant rate. The solute transport problem is solved by extending t...

A comparative investigation on molten salt hot corrosion of GTA and SMA-welded super-heater pipes of 70 MW CFBC boilers

Abstract The tubular SA 335 P91 joints are generally used as super-heater pipes in CFBC boilers. This research work presents hot corrosion studies on similar SA 335 P91 joints using ErNiCrMo-3 and E9018 B9 fillers via GTAW and SMAW. The HTC studies were conducted at 770 ± 1˚C emp...

Does geopolitical risk affect FDI? The conditioning role of institutional quality in emerging markets

The study examines the effect of geopolitical risk on FDI, with particular attention to how institutional quality moderates this relationship in emerging markets. The research employs a sample of 18 emerging market nations from 2003 to 2023. Using an unbalanced panel of 365 count...

Selective wake-up based partial networking for battery life extension in two-wheeler ECU architectures

Modern two-wheeled vehicles increasingly integrate multiple Electronic Control Units (ECUs) for both critical safety functions and non-critical comfort features. In traditional Controller Area Network (CAN) bus architectures, any message transmission wakes up all connected ECUs r...

A dual-functional antiviral and anticancer peptide to target intricate host-pathogen interacting proteins of human papillomavirus associated with head and neck cancer

Head and neck squamous cell carcinoma is increasingly being reported worldwide, and a major contributing factor is the incidence of human papillomavirus infections. The viral infection activates proto-oncogenes and signalling mechanisms aiding in tumorigenesis. An efficient way t...

Engineering metal‐organic framework‐based smart porous nanoplatforms for targeted therapy and theranostic applications

Abstract Metal‐organic frameworks (MOFs) are materials that have recently emerged with the potential for various biomedical applications. Through engineering MOFs to contain various components and functionalities, they have progressed from porous materials to “smart” MOFs that ca...

Multimodal deep learning architecture for gym exercise recognition and real-time posture error detection using LSTM and RAG-based expert chatbot

The growing popularity of home fitness has led to an increase in home-based fitness training. Still, the lack of supervision by a trained professional has resulted in improper form, thereby increasing the risk of injury during exercise. Automated computer vision systems have also...

A review on the recent trends in solar-biomass hybrid drying of agro and marine products in the context of sustainable development goals

Post-harvest losses remain a critical challenge in global food systems, pressing the need for efficient and sustainable drying technologies to ensure food preservation and food loss reduction. The primary objective of this review is to study solar hybrid drying (SHD) systems with...

Techno-economic optimization and hybrid deep learning-based net-load forecasting for intelligent microgrid energy management using HOMER Pro

Abstract The integration of renewable energy resources into electrical grids has increased the need for replicable and cost-effective microgrid design and operation strategies. This paper presents a microgrid planning and energy management framework that combines HOMER Pro-based...

The History of Gene Editing: From Classical Genetics to Modern Genome Engineering

This study traces the history of gene editing from classical genetics to modern genome engineering. It examines the progression from Mendelian genetics and the identification of DNA as genetic material to recombinant DNA technologies, programmable nucleases, and CRISPR–Cas system...

Thickness-Dependent Spintronic Terahertz Emission in Molecular Beam Epitaxy-Grown PtTe2: From Semiconductor to Type-II Dirac Semimetal

Abstract Spintronic THz emitters are the most practical broadband sources, but their performance is constrained by the spin Hall conductivity of the conversion layer. We show that PtTe2, a type II Dirac semimetal, overcomes this limitation through thickness-driven electronic phas...

Numerical simulation of nonlinear wave propagation under Type-1 and Type-2 fuzzy scenarios

Purpose This research aims to create and evaluate fuzzy numerical methods to solve the coupled Whitham–Broer–Kaup equations (cWBKEs). These equations are used to study nonlinear wave movement through shallow water waves (SSW) and related models. This research aims to improve unce...

A single-parameter sufficiency principle for machine learning-based agricultural quality prediction

Abstract Accurate pre-processing prediction of sugar yield from sugarcane is critical for reducing economic losses in India’s jaggery industry, where inadequate quality assessment results in estimated annual losses of approximately INR (Indian Rupee) 1000 crores nationally. Exist...