Aditya Birla (India)

Experimental and statistical investigation of MgO ‐assisted microalgae biodiesel–hydrogen dual‐fuel combustion in an RCCI engine

Abstract In Reactivity‐Controlled Compression Ignition (RCCI) operation, hydrogen was inducted through the intake manifold as a low‐reactivity fuel (LRF), whereas microalgae biodiesel‐diesel blends enriched with magnesium oxide (MgO) nanoparticles were directly injected into the...

Edge‐Based Information‐Centric Networking for Enhanced Message Discrimination in Vehicular Ad‐Hoc Networks

ABSTRACT Vehicular Ad Hoc Networks (VANETs) are central to Intelligent Transportation Systems (ITS), but practical deployment remains constrained by communication latency, scalability, and privacy requirements. This study develops an edge‐based Information‐Centric Networking (ICN...

Evolution of Battery Thermal Management Systems in Electric Vehicles: Advancements in Technologies, Models, and Future Perspectives

Abstract Batteries, especially lithium-ion, are rated best for the storage of energy for commercial electric vehicles (EVs) because of their higher energy density, life cycle, and quick charging features. These benefits are excellent candidates for satisfying the modern energy re...

Development of multi-criteria optimisation framework for blended concrete systems: experimental study and global sensitivity analysis

Global warming and climate change have increased the demand for low carbon dioxide construction materials, as cement production accounts for nearly 8% of global carbon dioxide emissions. Supplementary cementitious materials (SCMs) provide a sustainable solution by reducing cement...

Response surface methodology–machine learning optimization of Ziziphus mauritiana biodiesel over UiO‐66/SO 3 H MOF catalyst with CI engine assessment

Abstract Biodiesel derived from non‐edible feedstocks via heterogeneous catalysis offers a sustainable pathway to displace petroleum diesel in compression ignition engines. This study reports, for the first time, the application of a sulfonated zirconium metal–organic framework (...

Leakage-aware hybrid tabular deep learning with target-provenance auditing for calorie-expenditure prediction and constrained exercise food recommendation

Abstract Personalised exercise planning depends on calorie expenditure estimates derived from valid predictors. Published tabular recommenders rarely scrutinise the provenance of their outcome variable. We propose a leakage-aware, audit-first framework that combines hybrid tabula...

Comparative evaluation of ZnCl₂, KOH, and H₃PO₄ activated rice husk–neem leaf adsorbents for phenol adsorption

In the present study, the adsorption capacity of Rice Husk and Neem Leaf Powder (RHNL) activated using three chemical agents, ZnCl₂, KOH and H₃PO₄ with a 1:3-chemical to biomass ratio has been investigated to make biomass-derived activated adsorbents for phenol removal. Adsorptio...

Thermophysical properties, combustion, performance, and emission analysis of ZnO, TiO₂, and GNP-enhanced WCOME–diesel–DGM triple fuel blends in a CRDI diesel engine

The continuous utilization of non-renewable/conventional fuels for different fields of applications creates intense demand, increasing costs, and hazardous exhaust gases, which cause depletion of these products from the Earth’s source. This scenario urges researchers to find alte...

Blue carbon ecosystems under pollution stress: Impacts and integrated carbon‐pollution monitoring

Abstract Coastal blue carbon ecosystems, including mangroves, seagrass meadows, and salt marshes, are globally important carbon sinks because they store organic carbon in vegetation biomass and waterlogged sediments over long timescales. However, nutrient enrichment, heavy metals...

Generative artificial intelligence for nanomaterial discovery and nanoengineering: From data-driven design to autonomous laboratories

From conventional trial-and-error experimentation, nanomaterials research is moving toward data-centric and autonomous discovery paradigms that couple nanotechnology with artificial intelligence (AI). In this review, we critically examine how generative artificial intelligence, i...

Improved deep joint segmentation and deep hybrid architecture for breast cancer diagnosis with improved pattern extractors

Cancer remains one of the primary contributors to illness and mortality among women globally. One in five new cases of cancer in the world occurs in the breast. The use of mammography as a radiological diagnostic tool for breast abnormalities resulted in a notable reduction in br...

Industrial waste valorization for sustainable self-healing epoxy vitrimer hybrid composites: Taguchi optimization and machine learning-based performance prediction

This study investigates the development of sustainable self-healing vitrimer composites reinforced with recycled carbon fibers (rCF), waste cotton textile fibers (WCTF), and graphene nanoplatelets (GNP). The rCF, WCTF and GNP were in the range of 20–30%, 10–20%, and 0.5–1%, respe...

Optimization of paper mill sludge ash in sustainable concrete mixes for enhanced strength and durability performance

This research studies the feasibility of paper mill sludge ash (PMSA) as a sustainable alternative to conventional cementitious materials to alleviate the environmental and economic issues due to the production of regular cement. The study was done with M30 concrete with water to...

Comparative Finite Element Modal Analysis of Reinforced Concrete Cantilever Beams with Four- and Six-Bar Longitudinal Reinforcement Layouts

This study compares the elastic modal characteristics of reinforced-concrete cantilever beams containing four and six 12 mm longitudinal reinforcing bars using three-dimensional finite element analysis (FEA) and an exploratory machine learning (ML) exercise. Beam geometry, materi...

Comparative Performance Analysis of Multi-Barrier GaN HEMTs with β-Ga2O3 Buffer and InGaN Back-Barrier Layers

A TCAD-based comparative study of AlGaN, InAlN, and quaternary InAlGaN barrier GaN HEMTs integrated with an InGaN back-barrier and β-Ga2O3 buffer layer on a SiC substrate is presented. The influence of barrier composition on carrier confinement, electrostatic behavior, and high-f...

A wideband high-isolation four-port MIMO antenna with orthogonal diversity and DGS for 5G sub-6 GHz applications

Abstract The 5G NR sub-6 GHz bands n77 (3.3–4.2 GHz) and n78 (3.3–3.8 GHz) are widely used for modern 5G communication systems due to their balanced coverage and capacity. This work presents a compact wideband four-port MIMO antenna employing orthogonal diversity and defected gro...

A hybrid deep reinforcement learning framework for proactive cloud network intrusion detection using spatiotemporal feature learning

Traditional signature-based and static machine-learning-based intrusion detection systems (IDSs) have limited ability to adapt to changing traffic characteristics, and dynamic cloud-based infrastructures are increasingly vulnerable to new and zero-day attacks. Given this drawback...

Four-port triple notched wide-band MIMO antenna and verification by theory of characteristics mode for multiple applications

Abstract This paper presents a compact four-port multiple-input-multiple-output (MIMO) antenna featuring a triple notched-band characteristic for wideband, multiple applications. The single-element antenna is systematically developed and analyzed using the Theory of Characteristi...

Hydrogen-assisted combustion of GQD–DEE-enhanced WCO biodiesel in a dual-fuel CI engine

Abstract The relatively low performance and elevated nitrogen oxide (NOx) emissions associated with biodiesel-fueled compression ignition (CI) engines continue to limit their widespread application. To address these challenges, the present study investigates the combined influenc...