Graphic Era University

A Promising Strain for Wheat Growth Promotion and Antifungal Activity Against Fungal Phytopathogens: Bacillus velezensis TRQ67

The rising global food demand requires boosting agricultural productivity without compromising environmental sustainability, especially in the face of intensive agrochemical use and soil degradation. Based on this, strain TRQ67 was isolated from wheat rhizosphere soil in the Yaqu...

A hybrid SHA-256 and variational quantum classifier framework for simulation-based intrusion detection in SDN-IoT networks

Abstract The convergence of Software-Defined Networking (SDN) with Internet of Things (IoT) introduces critical security vulnerabilities requiring adaptive detection mechanisms. This paper presents QEIDS, a quantum-enhanced intrusion detection system combining SHA-256 cryptograph...

Draft genome of Streptomyces species VRG-4 isolated from leaf cutter ants of Uttarakhand

ABSTRACT We describe the draft genome sequence of Streptomyces sp. VRG-4, isolated from leaf cutter ants (Uttarakhand, India). The genome (9.3 Mb) consists of 83 contigs with 72% GC content. Genome annotation identified 8,243 protein-coding genes and 69 tRNA genes, which can be f...

Does Financial Literacy Improve Farmer Resilience? The Role of Risk Perception and Credit Access Among Horticulturists

This article examines the relationship between financial literacy and financial resilience of horticultural farmers, and more specifically, the mediation of such a relationship through the perception of risk and by accessing credit. Data were collected from 500 horticultural farm...

ARIMA and LSTM based Prediction of Diffused Radiation

AbstractThis study demonstrates application of an autoregressive integrated moving average(ARIMA) and long short-term memory (LSTM) network based deep learning optimisers formultistep-ahead prediction of daily mean diffused radiation (DMDR). The DMDR data ofpast 30 years of New D...

Machine learning for mechanical property assessment and optimisation in hybrid natural fibre/epoxy composites

The development of sustainable engineering materials and rising environmental awareness has encouraged the development of research in high performance natural fibre reinforced polymer composites. This study aims to provide a comprehensive experimental and machine learning based s...

Beyond Statistical Similarity: A Multidimensional Framework for Evaluating Synthetic Tabular Data

This research examines the quality of synthetic tabular datasets generated by two deep generative models, CTGAN and TVAE. The evaluation uses three benchmark datasets representing different application areas: Adult Income, Bank Marketing, and German Credit. The study goes beyond...

Sonochemically manganese doped activated carbon from Bauhinia variegata for dual energy application

Activated carbon (AC) remains a foundational electrode material in electrochemical double-layer capacitors (EDLCs) owing to its high specific surface area, tunable pore structure, and robust charge–discharge cycling. The performance of EDLCs is closely linked to the physicochemic...

Toward smarter solar: IoT and fuzzy logic for real-time maximum power point tracking and monitoring of photovoltaic systems

Abstract Photovoltaic (PV) systems are extremely prone to wear and tear and physical damage due to large variation in environmental conditions. Integration of real-time monitoring systems with PV would be highly advantageous in detecting early faults and performance degradation c...

Valorization of slag and banana leaf ash in five natural fiber-reinforced sustainable cementitious composites: early age mechanical and microstructural insights

Portland cement is highly energy-consuming, and its CO 2 emissions raise environmental concerns in the construction sector. This has prompted the desire for sustainable additional cementitious materials, such as slag and banana leaf ash (BLA). Nevertheless, the current literature...

Data-driven decision support for inventory planning: A Lean, Agile, Resilient, and Green (LARG) perspective

This study proposes a data-driven decision support framework for Maintenance, Repair, and Operation (MRO) inventory planning from a Lean, Agile, Resilient, and Green (LARG) perspective. The first stage of the proposed framework involves demand forecasting, which is implemented us...