Manipal University Jaipur

Spectral collocation approach for fractional order 2D viscous flow through expanding and contracting porous wall model

Abstract In this paper, 2-D viscous fluid flow in a expanding or contracting wall has been studied by incorporating fractional order in the Caputo sense. The governing two dimensional equations are transformed to a highly nonlinear fractional differential equations with associate...

Empowering communities for environmental resilience through people centric strategies in natural resource management and sustainable rural development

Environmental degradation, accelerating climate change, persistent rural poverty, and biodiversity loss represent some of the most pressing challenges confronting the global community today. These intertwined crises have intensified the urgent need for sustainable natural resourc...

Twin perturbation parameter based flexible power point tracking technique for grid-connected PV systems

Abstract Photovoltaic (PV) systems are fundamentally designed in two main configurations: standalone and grid-tied architectures. Although Maximum Power Point Tracking (MPPT) is commonly implemented to optimize energy extraction from photovoltaic systems, it may jeopardize grid s...

Numerical and experimental investigation of a solar pump operated by photovoltaic modules

Abstract Background Traditionally, irrigation in agricultural fields relies on diesel-powered pumps, which are not only environmentally harmful but also impose a significant financial burden on farmers due to rising fuel costs. These elevated operational expenses often reduce pro...

A machine learning framework for uncertainty aware predictive optimization in smart environment and financial systems

This research presents a novel Machine Learning Driven Methodology for Predictive Optimization (ML-DMPO). The framework introduces a theoretically grounded integration of uncertainty-aware predictive analytics with constraint-aware prescriptive optimization through a differentiab...

Physics-guided explainable predictive maintenance framework for industrial IoT systems

Machine learning models are increasingly deployed in industrial systems for predictive maintenance, enabling failure detection before breakdowns occur. However, most existing approaches optimise solely for statistical performance and do not explicitly enforce consistency with est...

Demystifying consumers' climate change engagement: a knowledge–attitude–practice perspective

Purpose Despite growing interest in climate change engagement, its nature and dynamics remain poorly understood. Addressing this gap, we conceptualise consumers' climate change engagement (CCCE) and explore its role in enhancing sustainable consumption. Design/methodology/approac...

A Review on Nanomaterials for Improving the Electrochemical Performance of the Next-Generation Lithium-Ion Batteries

The rapid development of electric vehicles, portable electronics, and renewable energy storage has stimulated the demand for Lithium-Ion Batteries (LIBs) with higher energy density, better rate capabilities, enhanced cycling stability, improved safety, and fast-charging capabilit...

Empirical investigation of Industry 4.0 readiness of manufacturing organizations operating in India

Abstract In developing countries like India, the adoption of Industry 4.0 (I 4.0) technologies has the potential to improve resource efficiency, waste reduction, and support sustainable manufacturing practices. However, organizational and technological challenges limit its adopti...

Mechanical, durability, and microstructural performance of biochar-modified concrete using faecal sludge–derived biochar

Abstract This research explores the potentiality of biochar derived from faecal sludge collected at faecal sludge treatment plants (FSTP) by partially replacing cements used in concrete applications. These plants collect, treat, and manage human waste from septic tanks and sanita...

An Efficient Video Steganography Approach for Secure and Low-distortion Data Embedding and Extraction

Abstract The growing requirement for secure multimedia communication has tested typical video steganography methods, which often trade off embedding capacity, visual quality, and signal-processing robustness. This study proposes an adaptive Discrete Wavelet Transform (DWT)-based...

Design and development of sustainable sports shoes using recycled materials in compliance with testing standards

The growing environmental impact of conventional athletic footwear manufacturing necessitates sustainable design approaches that reduce carbon emissions while maintaining functional performance. This study presents the design, development and evaluation of a sustainable sports sh...

Miniaturized stacked ring Archimedean spiral antenna with a stable radiation pattern for electromagnetic signal monitoring

This manuscript reports the miniaturization of the Archimedean spiral antenna using a stacked ring over a reflector. The Stacked Ring Archimedean Spiral Antenna (SRASA) has been fabricated on a double-sided RO4725JXR dielectric material with a thickness of 0.780 mm. A copper ring...

Synergistic adsorption–photocatalysis in TiO₂/activated carbon composites: optimization of p-nitrophenol degradation and application to real textile wastewater treatment

The photocatalytic degradation of persistent nitro-aromatic pollutants is often limited by poor light utilization and fast electron-hole recombination in conventional TiO 2 systems. In this work, TiO 2 /carbon composites were prepared using activated carbon (AC) and biomass-deriv...

A hybrid CNN-BiLSTM edge-cloud intrusion detection system with online incremental learning and SHAP explainability for smart city IoT

Abstract Smart city IoT deployments interconnect safety-critical infrastructure across millions of heterogeneous devices, creating an attack surface that signature-based intrusion detection systems (IDS) cannot defend against zero-day exploits, polymorphic malware, or concept dri...

A novel optimized deep ensemble for monkeypox lesion detection using transfer learning and ABC algorithm

Monkeypox, a reemerging zoonotic disease, has become a serious global health concern that requires rapid and accurate diagnostic methods. The increasing prevalence of skin lesion images highlights the scope of automated deep learning solutions. However, current approaches face ch...

Provenance-preserved DL framework for intrinsically-isolated mm-wave CDRA MIMO

Abstract This paper presents a provenance-preserving deep-learning framework for computational design screening and full-wave validation of high-isolation millimeter-wave cylindrical dielectric resonator antennas in a two-port MIMO configuration. The framework integrates Ansys HF...

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...

Comparative evaluation of decision tree and random forest models for multi-class water quality classification of the Yamuna river

Monitoring the quality of water in rivers is important for environmental sustainability. This study presents a comparison of Decision Tree (DT) and Random Forest (RF) classifiers for multi-class classification of the water quality of the Yamuna River on the basis of temperature,...

A lightweight image encryption scheme using LFSR, logistic map, and cellular automata for resource-constrained devices

In the modern era, secure image transmission is crucial for digital communication. In particular, this communication is useful in resource-constrained devices, such as Internet of Things (IoT) mechanisms and embedded systems. Conventional encryption algorithms require greater com...