Print ISSN : 2454-9967
Online ISSN : 2349-5359
Frequency : Quarterly

Impact Factor: 2.75

i The impact factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years (Google Citations).

CiteScore: 1.03

i CiteScore measures the average citations received per peer-reviewed document published in this title. CiteScore values are based on citation counts in a range of four years (e.g. 2017-2020) to peer-reviewed documents (articles, reviews, conference papers, data papers, and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2017 – 2020).
Editor-in-Chief

Dr. V. Aroulmoji

About the journal

As the very name indicates, International Journal of Advanced Science and Engineering is a journal across the world. The main intention behind the journal is to cater to the specific needs of industrial professionals, academicians and researchers in the fields of Science and Technology. IJASE publishes articles, reviews and letters to the editors pertaining to the fields of Science, Engineering and Technology   Find out more

Publication Ethics

All manuscripts are subject to peer review and are expected to meet the stipulated standards of academic excellence. Once approved by the editor, the manuscripts will be sent to peer-reviewers, and the identity of the peer viewers remains confidential. If necessary our research integrity team will resort to the reviewers outside our panel.

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Why to publish with us...

IJASE is a reputed journal across the world and it is dedicated to publish genuine and original scientific research articles, review papers and short communications. To screen un-ethical practices involved in the paper the journal has a top rated Editorial Board Members and top-notched review team. The review process is unbelievably short ...

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Articles in Press

Implementation of Fuzzy Clustering and Fuzzy Neural Network in Edge-Based Server Environments for Enhanced Secured Cloud Services

Efficient DG Placement and Sizing for Enhanced Distribution Network Performance

CervNet: A Novel Multimodal Neural Network to Diagnose Cervical Spondylosis from X-Ray Images

A Modified Squirrel Search Algorithm for Successive Transaction Based Frequent Pattern Mining from Streaming Data

Assessment of Flood Risk Map using Remote Sensing Data: A Case Study of Eastern Iraq

Evaluation of Secondary Metabolites in Soursop (Annona muricata Lin) Leaves and Fruits: A Comparative Analysis of Solvent Extracts

Artificial Intelligence and Machine Learning Driven Landslide Analysis: Scar Segmentation, Susceptibility and Sensitivity Analysis using Naive Bayes and K-nearest neighbor in Nainital district, Uttarakhand

Proteomics Approach Revealing Molecular Mechanism behind the Antibacterial Activity of Terminalia chebulain Staphylococcus aureus

The Impact of Brain Break Classroom Media-Based Physical and Psychological Health on Children Behaviour: A Study

Analysis of Drug Tolerance in Ocular Pseudomonas aeruginosa Isolates

A Brain Tumor Classification of Feature Extraction Using Hybrid Dictionary Learning Algorithm and Spider Optimization Neural Network

Analysis and Control of Thermal Effect of Switching Devices in Heat Sink Environment

Development of Database for Drying Parameters of Some Fruit Crops in South-East Nigeria

Current Issue

Volume -12, Issue - 1,  September 2025

CervNet: A Novel Multimodal Neural Network to Diagnose Cervical Spondylosis from X-Ray Images
Authors : Srivatsav   Kannan, Valliappan   Raman, Kalaivani   Krishna Kumar, Prabhavathy   Mohanraj,

Cervical spondylosis is a degenerative condition of the cervical spine that affects over 85% of individuals above 60 and nearly 25% under 40. Although X-rays are the most accessible imaging modality, manual interpretation achieves only 68.3% accuracy, often requiring costly CT or MRI scans for confirmation. To address this limitation, we developed CervNet, a multimodal deep learning model that... Read More

Hyper Responsive Artificial Intelligent based Hybrid Cloud Load Balancer
Authors : Ananya   Saha, S.K.   Manju Bargavi ,

Hybrid cloud environments often face challenges in balancing workloads, managing resources, and ensuring resilience, which can lead to performance bottlenecks and higher costs. To address this, the Hyper Responsive Artificial Intelligent based Hybrid Cloud Load Balancer (HRAIHCLB) is proposed as an AI-driven system that integrates three key modules: the AI Driven Load Prediction Distributor... Read More

Enhancing Security Using Deep Learning Based Capsule Neural Networks (CAPSNETS) with Enhanced Animal Migration Algorithm (EAMO) In Wireless Sensor Network
Authors : S.   Vishalini, A.   Kavitha,

Wireless Sensor Networks (WSNs) are widely used in mission-critical domains such as environmental monitoring, industrial automation, and defense. However, they face two major challenges: vulnerability to malicious node attacks and high energy consumption, both of which degrade network performance and shorten operational lifespan. This study aims to develop a unified framework that simultaneously... Read More

High-Precision Magnetization Control Using a Phase-Modulated Circularly Polarized Doughnut Gaussian Beam
Authors : M.   Udhayakumar, K.   Prabakaran, V.   Arulmoji, K.   Sangeetha, S.   Vijayanath, S.   Ramachandran, K.B.   Rajesh,

We propose a novel technique for high-density, all-optical magnetic recording based on vector diffraction theory. Our results demonstrate that a doughnut-shaped Gaussian beam with circular polarization (CPDGB), when tightly focused through a high numerical aperture (NA) lens, can generate nanoscale magnetization domains via the Inverse Faraday Effect. For NA = 0.85, the focused beam produces a... Read More

Evaluation of Secondary Metabolites in Soursop  (Annona muricata Lin.) Leaves and Fruits: A Comparative Analysis of Solvent Extracts
Authors : R.   Malarkodi, A.   Gokulakrishnan, S.   Visnu, Jamith Basha   Abdul Wahid, Dharamalingam   Kirubakaran, Mukesh Kumar   Dharmalingam Jothinathan,

Annona muricata leaves and fruits are known to possess notable pharmacological properties; however, a comprehensive analysis of their secondary metabolites remains limited. This study aimed to quantify the secondary metabolites present in various solvent extracts of A. muricata leaves and fruits. Among the solvents tested, ethanol extracts exhibited the highest concentrations of phenolic acids... Read More

 Unveiling the Bioactive Potential of Sargassum wightii Greville: An Integrated Pharmacognostic and Phytochemical Study
Authors : R.   Vijaya Gandhi, M.   Senthilkumar, Joseline Sofia   Sharon, Dharamalingam   Kirubakaran, Mukesh Kumar   Dharmalingam Jothinathan,

Sargassum wightii, marine seaweed from the family Sargassaceae, is renowned for its diverse biological activities, including antibacterial, antitoxic, antidiabetic, and anti-inflammatory properties. These effects are attributed to the phytoconstituents present in the seaweed. In this study, we aimed to evaluate the pharmacognostic, phytochemical, and physicochemical profiles of S. wightii.... Read More

Influence of Soil Physico-Mineralogical Characteristics on Hydrological Processes in a Semi-Arid Hard Rock Terrain from Bennihalla Basin-Karnataka
Authors : K.   Sujay, V.S.   Hegde, Rajatkumar   Vaidya,

Water availability underpins both socioeconomic development and ecosystem sustainability. This study investigated the surface hydrological characteristics of the Bennihalla Basin, spanning Dharwad and Gadag districts in a hard rock terrain dominated by Archaean meta sedimentary rocks (Meta Greywackes and Granitoids). Thirty-seven soil samples were analyzed for moisture content, organic matter,... Read More

Optimizing Mental Workload Prediction with Machine Learning: A NASA-TLX-Based Analysis
Authors : P.   Krishnamoorthy, Rahul   Kundiya, G.   Deepalakshmi, Ketan   Kundiya, Kanchan   Talekar, Ashwini   Pawar, GSV.   Seshu Kumar, Gajanan   Khapre,

To evaluate machine learning algorithms' mental workload estimation using NASA-TLX subjective evaluations in undergraduate students during multitasking. The study includes 74 students taking the Labin the Wild multitasking tests and NASA-TLX self-assessment. Participants rated six workload factors. KNN, Naive Bayes, and Extra Trees were tested using stratified k-fold cross-validation.... Read More

Multiscale Behavior of Fibre-Reinforced Concrete for Tunnel Lining Applications: Properties, Performance, and Design Considerations –A Review
Authors : Vikas   Sharma, Raman   Nateriya,

This review systematically evaluates the multiscale behavior, mechanical performance, and durability of various fibre-reinforced concrete (FRC) systems tailored for tunnel lining applications. Traditional tunnel linings often suffer from limited post-cracking ductility and inadequate crack control under complex loading, leading to durability concerns and increased maintenance costs. By... Read More

Computational Optimization of Flow Control over Aircraft Wing Section using Vortex Generators
Authors : Navin Kumar   Balasubramanian, Karthik   Jayanarasimhan, M.   Nagaraj, M.   Sivasankari,

This study investigates passive flow control mechanisms to delay flow separation and enhance aerodynamic performance on wing surfaces. The NACA 2412 airfoil is selected for its high lift characteristics at low angles of attack. A flow velocity of 12 m/s is maintained, aligning with the rated wind speed of the subsonic wind tunnel and relevant non-dimensional parameters. The wing surface... Read More

Investigating the Moisture Absorption Characteristics of a Composite Material Produced from Waste Plastic Filled with Pineapple Fibre Reinforcement
Authors : M.   Babu, R.   Elayaraja, S.   Suresh, V.   Sugan,

: This study focuses on addressing the issue of moisture ingress in polymer composites, a factor that often compromises structural performance and limits service life, especially in humid or outdoor conditions. A hybrid composite was fabricated using pineapple fibre as reinforcement and waste plastic particles as filler, aiming to improve resistance to water absorption. Composites with varying... Read More

Probing Molecular Properties and Molecular Docking of  2-Amino-5-Bromo Benzaldehyde (2A5BB) through Quantum Chemical Studies
Authors : V.   Abirami, S.   Pari, Visnu   Sasithra, R.   Subaranjani, S.   Arunpandiyan, L.   Antony Selvam, M.   Victor Antony Raj, T.   Selvankumar,

In this research, the properties of the 2-Amino-5-Bromo Benzaldehyde (2A5BB) molecule are studied using the Gaussian 16W software package, employing the B3LYP method with the 6-311++G(d,p) basis set. Mulliken charge analysis shows that the most significant value of charge for C5 is due to the polar bond of the COH aldehyde, and the atoms constituting the nitrogen bond possess the smallest... Read More

Artificial Intelligence and Machine Learning Driven Landslide Analysis: Scar Segmentation, Susceptibility and Sensitivity Analysis using Naive Bayes and K-nearest neighbor in Nainital District, Uttarakhand
Authors : Harish   Khali, Rajat Subhra   Chatterjee, Kishan Singh   Rawat, Harsh   Kumar, Sandeep   Kunwar, Akash   Deep,

Landslides represent a recurrent hazard in mountainous regions, notably in the geologically fragile Nainital district of Uttarakhand, India. This study develops a data-driven landslide susceptibility model using k-Nearest Neighbors (KNN) and Naive Bayes (NB) classifiers, integrating 273 inventoried landslide scars and eight geo-environmental conditioning factors. The dataset was partitioned into... Read More

Integration and Analysis of Solar Vertical Axis Wind Hybrid Energy System using Modified Zeta Converter
Authors : K.   Karthikeyan, P.   Umasankar, P.   Parathraju, M.   Prabha, Padmaja   Pulivarthy,

Nowadays, renewable energy sources are a good alternative to conventional energy sources like coal and fossil fuels, which pollute the environment, as they provide clean, sustainable, and eco-friendly power while reducing greenhouse gas emissions. Finding sustainable solutions for the rapidly increasing global energy consumption has become one of the major challenges of the modern world, which... Read More

Targeting Bacterial Biofilms: A Nanotechnological Perspective
Authors : Shilpa Ann   Chandy, V.   Rithvika, R.   Ranjithkumar, Tha.   Thayumanavan, B.S.   Harish, R.   Subashkumar,

The extracellular polymeric compounds found in bacterial biofilms make them highly resistant to traditional antibiotics, posing a serious threat to industrial systems, medical equipment, and human health. The inability of conventional therapies to break through biofilms frequently results in chronic infections, higher mortality rates, and financial losses. By utilizing the unique properties... Read More

A Modified Squirrel Search Algorithm for Successive Transaction Based Frequent Pattern Mining from  Streaming Data
Authors : J.   Gayathri, D.   Napoleon,

Frequent Pattern Mining (FPM) from streaming data poses significant challenges due to the need for real-time processing, limited memory availability, and handling the evolving nature of data. Existing algorithms often fall short in adapting to successive transactional updates, leading to reduced accuracy, inefficient memory usage, and poor scalability. To address these challenges, this study... Read More

A Secured and an Improved Feature Weighted Fuzzy Clustering and Hybrid Classification Model for the Detection of Agricultural Pests
Authors : P.   Bharathi, K.   Dhanalakshmi,

: A stable agricultural economy, food security, and quality of life largely depend on efficient plant Pest Detection (PD). Rapid insect and pest infestations severely affect annual crop yields, and existing detection methods often face security and performance limitations. Globally, researchers are exploring scientific approaches that leverage Cloud Computing (CC) systems for pest detection. To... Read More

Improving Intelligent and Real-Time Parking System in Urban Areas Using Internet of Things
Authors : S.   Raju, R.   Jayakumar, D.   Sindhuja, M.   Arul Sankar,

: Parking has become a significant issue in urban areas, especially as the majority of people in metro regions increasingly rely on private vehicles. With the growing popularity of Smart Parking (SP) systems based on the Internet of Things (IoT) and recent technological advancements, addressing parking challenges has become crucial. This research focuses on alleviating traffic congestion caused... Read More

Influence of Anaemia and Gestational Diabetes Co-Related with Behavioural Changes for Quality of Life during Pregnancy: Holistic Integration of Clinical and Psychological Interventions for Better Pregnancy Outcomes
Authors : Varaganti Sai Chitra   Prathyusha, Fatima   Grace Xavier, Narayanaswamy   Harikrishnan, Evelyn Sharon   Sukumaran, S.   Prema,

Anaemia and gestational diabetes mellitus (GDM) are prevalent comorbid conditions during pregnancy that significantly affect maternal health and fetal development. This study investigates the interrelationship between anaemia and GDM, their individual and synergistic influence on behavioural alterations, and the consequent implications for quality of life (QoL) among pregnant women. Conducted at... Read More

Soil Infiltration Dynamics and Hydro-Physical Properties of Black Cotton Soils in a Semi-Arid Hard Rock Terrain: A Case Study from Bennihalla Basin
Authors : K.   Sujay, V.S.   Hegde, Rajatkumar   Vaidya,

Understanding soil infiltration characteristics is vital for effective water resource management, especially in semi-arid regions with complex geological settings. This study investigates the infiltration dynamics of different soil types in the semi-arid hard rock terrain of the Bennihalla Basin, with a focus on identifying potential sites for artificial groundwater recharge. In contrast, red... Read More

Biomedical Applications of Moringa oleifera Leaf Extract-Mediated Synthesized Silver Nanoparticles
Authors : M.   Vanaja, M.   Sivakavinesan, Satheesha   Subbabhat, S.   Rajeshkumar, G.   Annadurai, T.   Selvankumar,

This study presents a green, rapid, and eco-friendly method for synthesizing silver nanoparticles (AgNPs) using Moringa oleifera leaf extract as a natural reducing and stabilizing agent. A visible color change from whitish-yellow to dark brown indicated nanoparticle formation, which was further, validated by surface plasmon resonance (SPR) peaks that lies at 460 nm in the UV–vis spectral... Read More

Efficient DG Placement and Sizing for Enhanced Distribution Network Performance
Authors : Vijaykumar   Kamble, Bhushankumar   Shinde, Sarika   Jagtap, Ashwini   Patil,

The growing complexity of modern power distribution systems, coupled with increasing electricity demand, necessitates innovative solutions to minimize losses and enhance system efficiency. This paper focuses on the strategic placement and sizing of Distributed Generation (DG) units within a distribution network to achieve these objectives. Utilizing a hybrid analytical approach combining the... Read More

Enzyme Treated Cellulosic Polymer of Psyllium husk for the Preparation of Yoghurt and Dessert Production by using Lactobacillus sp.
Authors : J.   Mahalakshmi, Raghuraman   Tarunprasad, M.   Maghimaa, N.   Pandeeswari, K.   Elanchezhyan, Sivakumar   Krishnamoorthy,

This study focuses on the standardization of technology for producing prebiotic and probiotic yogurt and dessert utilizing enzyme-treated cellulosic polymer (CP) of psyllium husk and Lactobacillus sp. The research involved optimizing the xylanase enzyme procedure for partial hydrolysis of CP psyllium husk. Xylanase enzyme concentrations of 25, 30, and 35 units per gram were applied to the... Read More

Implementation of Fuzzy Clustering and Fuzzy Neural Network in Edge-Based Server Environments for Enhanced Secured Cloud Services
Authors : V.   Selvakkumaran, R.   Anandan,

The increasing complexity of cyber threats in edge–cloud integrated infrastructures necessitates adaptive and intelligent security mechanisms that transcend the limitations of traditional machine learning approaches. This paper presents a novel hybrid security architecture that combines fuzzy clustering and fuzzy neural networks (FNN) to enhance intrusion detection in distributed edge... Read More

Cashew Nutshell Liquid-Derived Cyclohexene: a Novel Versatile Bio-Based Monomer
Authors : Joseph   Mauck, Hong   Xu, Matt   Varallo, Pietro   Campaner, Anbu   Natesh,

Cardanol (3-pentadecenyl-phenol), a well-known non-edible natural oil obtained as a by-product of the Cashew Industry, represents a valid alternative to petro-based derivatives, thanks to its peculiar chemical structure. When selected as raw material in the synthesis of epoxy curing agents or polyols and diols for polyurethane applications, cardanol can impart unique benefits, like chemical... Read More

Chitosan Assisted Centella asiatica Phytocompounds for Novel  Sustainable Food Packaging Applications
Authors : C.   Santhini, T.A.   Hema,

The present study evaluated the potential of chitosan-assisted phytocompounds from Centella asiatica for antibacterial food packaging application. Chitosan, a natural polymer, is widely explored for its biocompatibility, biodegradability, and inherent antibacterial qualities, making it suitable for developing delivery systems that enhance plant-derived compound stability, bioavailability, and... Read More

Sustainable Mycelium-Based Leather: Conversion of Bread Waste into Fungal Biomaterial Using Vegetable Tannins
Authors : S.T.   Gopukumar, Nithya   Rathinam, N.   Prabha, V.   Ravikumar, A.   Ganesh Kumar, P.   Sankarganesh, G.   Manivannan, Jeniffa   Rajavedhanayagm,

The growing market need for sustainable cruelty-free materials enables research into fungal-based leather production as an animal leather substitution. The researchers studied fungal cultivation of Aspergillus niger on bread waste using solid-state fermentation to extract vegetable tannins from sawdust which became the base material for fungal leather production. Mycelial mats reaching high... Read More

Mild Solutions of Multipoint Boundary Conditions for Impulsive Fractional Integro-Differential Equations
Authors : K.   Venkatachalam, M.   Sathish Kumar, R.   Elayaraja, S.   Abhirami,

This study investigates the existence and uniqueness of mild solutions for impulsive fractional integro-differential equations (IFIDEs) in a Banach space, with particular emphasis on the Caputo–Katugampola fractional derivative. The analysis addresses the complexities introduced by impulsive effects and fractional-order dynamics using advanced mathematical tools. Specifically, the contraction... Read More

 Phosphorus Supplementation Alleviates Chromium Induced Toxicity in Solanum lycopersicum Plants by Antioxidant Defense System
Authors : M.   Lavanya, G.   Ramkumar, R.   Manikandan, R.   Kavitha,

Chromium (Cr) has currently been classified as a hazardous heavy metal due to its toxic effects on both human health and plants growth. This study investigates the restorative effect of phosphorus (P) on Solanum lycopersicum under chromium-induced toxicity. Plant growth was reduced by the addition of 25 mg/L Cr treatment when compared with control, while it was improved by the addition of 13% of... Read More

Assessment of Flood Risk Map using Remote Sensing Data: A Case Study of Eastern Iraq
Authors : Luay Y.   Hussein, Lubna W.   Said, Nadia A.   Aziz,

Flood is a serious natural hazard, and assessing the risk is an efficient approach for proper planning. Flood studies require accurate data to cover areas of interest, which can be obtained using remote sensing images in a given region. In this study, flood risk mapping was assessed in Eastern Iraq, using GPM precipitation measurements and the STRM digital elevation model. Four criteria were... Read More

Real-Time Strength Assessment of Concrete Grades Using Concrete Maturity Meter Technology
Authors : Nandkishor   Chougule, Nandkumar   Patil,

Conventional concrete strength testing methods, such as cube compression, are destructive and time-consuming, and delaying critical construction decisions. This study aims to validate the Concrete Maturity Meter (CMM), a non-destructive, real-time monitoring tool based on the maturity method, for assessing compressive strength in M20, M25, and M30 concrete grades using OPC and PPC cement with... Read More

Structural Properties of Trees with respect to Fair Domination Subdivision Number
Authors : G.   Navamani, M.A.   Reena Mercy, M.   Siva Sankari,

We introduce and investigate the “fair domination subdivision number” of a graph, a new parameter that combines the concepts of fair domination and edge subdivision. A fair dominating set of a graph His a dominating setJ is a subset of V such that every vertex in V∖J is adjacent to the same number of vertices in J. The “fair domination number”, denotedγ_fd (H), is the minimum... Read More

Harnessing Nature: Biopolymer-Based Strategies for Probiotic Encapsulation: An overview
Authors : Nishaa   Surendran, S. S.   Prathambigai, Geethadevi   Chandrasekaran, Manivannan   Govindasamy, Usunomena   Usunobun, S. T.   Gopukumar, Ngozi Paulinaus   Okolie, A.   Ganesh Kumar, Ranjithkumar   Rajamani,

Interest and awareness of consumption of healthy foods and their benefits have attracted the consumer’s attention towards probiotics. Probiotics are found to afford a number of health benefits, like existence in extreme gastrointestinal environment and their viability during their transit from ingestion to intestine serves as a major challenge. This challenge is addressed by coating the... Read More

Screening and Validation of Bacopa monnieri Phytocompounds Against Breast Cancer Proteins Using Molecular Modeling Approach
Authors : K.S.   Shalini, R.   Thirumalaisamy, T.   Selvankumar,

The present study aimed to evaluate the anti-cancer potential of Bacopa monnieri phytocompounds against breast cancer using in silico validation. Thirteen phytocompounds from Bacopa monnieri, along with two conventional anti-cancer drugs, were selected for virtual screening to identify novel therapeutics. Drug-likeness, molecular docking, ADMET, and DFT analyses were performed. Among the... Read More

Current Advances in Pharmaceutical Analytical Methods for the Aminoglycoside Antibiotic: Gentamicin
Authors : Pokuri   Chiranjeevi, Gowri Sankara Rao   Burle, V.   Rithvika, Anoop   Bodapati, Kanaka   HariHaran, Kanamaneni Chinna   Kondanna, Gowravam   Akshaya, Venkatannagari   Bhanu Rekha, Jelly   Deepika, Vinod Kumar   Nelson,

Gentamicin, an aminoglycoside antibiotic, plays a vital role in treating serious Gram-negative infections. Due to its narrow therapeutic window and associated risks of nephrotoxicity and ototoxicity, precise therapeutic drug monitoring is essential to ensure patient safety. Various analytical methods have been developed for quantifying gentamicin in pharmaceutical formulations and biological... Read More


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