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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

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

Green Synthesis and Application of Nickel and Nickel–Lithium Oxide Nanocomposite as Cathodic Materials for Lithium-Ion Batteries

Characterization and Molecular docking study of Biodegradable Thin Films Synthesized from Basil and Fenugreek Seeds Mucilage for Anti-diabetic Activity

Exploration and Validation of Antimicrobial Phytocompounds for Multi-Drug Resistance from Eclipta alba through In Vitro and In Silico Approaches

Green Nanoparticles from Solanumnigrum: Proteomic Analysis of Their Effects on Human Gastric Cancer Cells

Influence of Heater Length and Positions on Buoyant Convection of Micropolar Fluid in an Enclosure

Deep Learning Approach for conversion of Sign Language to Speech: Enhancing Communication for the Deaf and Dumb

Natural Fibers Reinforced Polymer Composite: Focus on Mechanical, Tribological and Biodegradable Properties

Developments in Natural Sand Replacement with Alternative Materials-A Review

Integrating Artificial Intelligence into Modern Water Management Frameworks: Review

Coupled Common Fixed-Point Theorems for Single-Valued Mapping via Generalized Coincidence Property in Fuzzy Metric Space

Effects of Injection Timing and EGR on performance of CRDI diesel engine fueled with Ceiba Pentandra Oil Methyl Ester (CPOME), 2-ethylhexyl nitrate and Diesel blend

In Silico Analysis of Phytocompounds Extracted from Curcuma amada Roxb to Explore Thrombolytic Activity

Fault Diagnosis in Analog Circuits Using an Integrated Swarm Optimization Framework

Enhancing Biological Activities of Chitosan/PVP Crosslinked Hydrogel Cube in Aqueous Solution

Analysis of Drug Tolerance in Ocular Pseudomonas aeruginosa Isolates

Innovative use of Fermented Mosambi Peel Liquid as a Sustainable Larvicide against Culex quinquefasciatus and Growth Promoter for Flora and Fauna

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

Analyzing M/M/1 Working Vacation Model with Dual Server Breakdowns, Retrial Queue, and Interruptions: A Study on Classical Retrial Policies

Green Synthesis and Characterization of Copper Oxide Nanoparticles using Cassia auriculata and their Antioxidant and Antibacterial Properties

Accurate Breast Cancer Diagnosis using Machine Learning

Acute and Sub-Acute Toxicological Study of Short Chain Fatty Acids (SCFAs) in Rats

Bioethanol Production-Optimization of Consolidated Bioprocessing by Fungi and Yeast and its Biomedical Applications

Analyzing M/M/1 Working Vacation Model with Dual Server Breakdowns, Retrial Queue, and Interruptions: A Study on Classical Retrial Policies

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 (In Progress)

Volume -11, Issue - 4,  June 2025

 Green Synthesis and Characterization of Copper Oxide Nanoparticles using Cassia auriculata and their Antioxidant and Antibacterial Properties
Authors : Magesh   Mohan, Sudharsan   Peroumal, Gokul Raj   Gopinath, Deepika   Devaraj, Chinnasamy   Ragavendran,

Green nanotechnology has become more popular in recent years to produce metallic nanoparticles since it is inexpensive, requires few preparatory processes, and is sustainable. The current work used Cassia auriculata L. leaf extract to effectively green-synthesize copper nanoparticles (CuO NPs). The generated CuO nanoparticles were properly characterized through UV-Vis, FT-IR, FE-SEM, and EDX... Read More

A Brain Tumor Classification of Feature Extraction Using Hybrid Dictionary Learning Algorithm and Spider Optimization Neural Network
Authors : D.   Sivakumar, P.   Ramkumar, M.   Selvi, T.   Auntin Jose, S.   Rajeshwari,

Brain tumors are a group of tissues formed by the continuous collection of irregular cells, and it is important to classify brain tumors for magnetic resonance imaging (MRI) treatment. Human examination is the standard for MRI detection of brain tumors and tumor tissue. Visualized image organizes the magnetic resonance image of the brain and provides various mechanisms depending on the body... Read More

Acute and Sub-Acute Toxicological Study of Short Chain  Fatty Acids (SCFAs) in Rats
Authors : P.   Rajyalakshmi Devi, Mote   Srinath, Talla   Venu, Vinod Kumar   Nelson, M.   Vinyas,

The gut microbiota ferments undigested fiber to produce short-chain fatty acids (SCFAs) such as butyrate, acetate, and propionate. These play a crucial role in metabolic regulation, especially in obesity and diabetes. This study aimed to evaluate the potential toxic effects of SCFAs and LD50 following the IAEC 420 guidelines. Eighteen rats (150–250 g) were divided into three groups and... Read More

Enhancing Biological Activities of Chitosan/PVP Crosslinked Hydrogel Cube in Aqueous Solution
Authors : Madhumitha   Kannan, Mohana   Priya, H.   Premkumar, Deepak   Sharma, Arockia   Alex, Vinay   Kumar,

Hydrogel cubes are now considered essential instruments in medication delivery and release applications because of their distinct characteristics and adaptable capabilities. These polymer networks have a three-dimensional structure and are hydrophilic. They are very compatible with living organisms, allowing for controlled and continuous drug release, which is important for sustaining treatment... Read More

Innovative use of Fermented Mosambi Peel Liquid as a Sustainable Larvicide against Culex quinquefasciatus and Growth Promoter for Flora and Fauna
Authors : Shanmugavadivel   Sangeetha, Mani   Poonkothai ,

This study explores the sustainable production of mosambi peel liquid (MPL) through fermentation, emphasizing its larvicidal and growth-promoting potential. Physico-chemical characterization revealed its acidic nature, with quantification of acetic, citric, and tartaric acids. A larvicidal assay using MPL at 0.5%, 1%, 1.5%, and 2% concentrations against third instar larvae of Culex... Read More

Larvicidal Activity of Medicinal Plant Extracts against Dengue Vector Aedes aegypti
Authors : M.   Maghimaa, Rajabalaji   Vasudevan, B.   Giridhar Aravind, M.   Gayathri,

The global incidence of dengue fever, transmitted primarily by the mosquito Aedes aegypti, continues to rise, prompting the urgent need for effective and sustainable vector control strategies. This study investigates the potential of potent phytomedicines derived from five medicinal plants Melia dubia, Azadirachta indica (neem), Adhatoda vasica (vasaka), Solanum nigrum (black night shade) and... Read More

Analysis of Drug Tolerance in Ocular Pseudomonas aeruginosa Isolates
Authors : Vidyarani   Mohankumar, Sangeetha   Ramalingam, Lalitha   Prajna,

Corneal infections caused by Pseudomonas aeruginosa result in severe visual disability, where the drug-sensitive isolates are often associated with worse clinical outcomes. We aimed to analyze the drug tolerance pattern among corneal P. aeruginosa isolates to fluoroquinolone and aminoglycoside antibiotics. Ten antibiotic-sensitive P. aeruginosa keratitis isolates were exposed to 100 µg/ml... Read More

Accurate Breast Cancer Diagnosis using Machine Learning
Authors : G.   Meenalochini, D.   Amuthaguka,

In today’s fast-paced world, lifestyle choices have substantially changed, influencing overall health. Among the various methods available for breast cancer screening, mammography remains the most widely used technique. Recent advancements have introduced computer-aided diagnostic systems that improve mammogram quality and assist in detecting suspicious regions. This paper aims to detect the... Read More

 Analyzing M/M/1 Working Vacation Model with Dual Server Breakdowns, Retrial Queue, and Interruptions: A Study on Classical Retrial Policies
Authors : M.   Shanmugavalli, K.   Majella Jenvi Ignatia, N.   Vijaya, Gowri   Senthil, S.   Thalapathiraj, M.   Helda Mercy,

This article examines two variants of the Working Vacation framework that are controlled by a Classical Retrial Policy. These variants include dual server failures and a retrial queue with disruptions during operational breaks .The long-run client distribution in a M/M/1 queue during operational breaks is determined using the matrix geometric method. Failures may arise in both the server's active... Read More

Fault Diagnosis in Analog Circuits Using an Integrated Swarm Optimization Framework
Authors : G.   Puvaneswari,

Effective fault diagnosis is essential in sensitive applications like communication systems, medical devices, and aviation electronics. Traditional methods face limitations such as sensitivity to local minima, high complexity, and suboptimal test node selection. To overcome these, this research proposes a novel approach—Multi-Strategy Fault Diagnosis using Integrated Swarm Optimization... Read More

Effects of Composition on the Structural and Thermal Properties of PVC/PVDF-HFP Blends
Authors : Shivangi   Shukla, Swarnim   Patel, Purvee   Bhardwaj,

In this work, pure PVC films and PVC-PVDF-HFP mix films were made utilizing the solution casting process with variable wt% of PVC to PVDF-HFP. FTIR, XRD, and DSC techniques were used to evaluate the structural, morphological, and miscibility properties of the films. FTIR and XRD data verified molecular interactions between the two polymers, highlighting the occurrence of the α-phase of PVDF-HFP... Read More

Bioethanol Production-Optimization of Consolidated Bioprocessing by Fungi and Yeast and its  Biomedical Applications
Authors : K.   Sukirtha, Rajabalaji   Vasudevan, M.   Maghimaa, Karthikeyan   Murugesan, Lali   Growther,

This study primarily focuses on the technical and financial aspects of using acid pretreatment in bioethanol production from corn stover. The corn stover was treated with 2% diluted sulfuric acid and inoculated with Fusarium oxysporum to enhance saccharification efficiency. Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) were used to examine the corn... Read More

Energy Efficient Wireless Sensor Network with Hybrid Mutation Albatross Optimization Algorithm Based            Cluster Head Selection
Authors : Amsaveni   Manigandan, M.   Saranya,

The efficient management of energy resources remains a critical challenge in the operation of Wireless Sensor Networks (WSNs), where clustering is widely adopted to reduce energy consumption and extend network lifetime. A key factor in clustering efficacy is the optimal selection of cluster heads (CHs), as poor selection leads to excessive energy consumption due to disproportionate data... Read More

Effects of Injection Timing and EGR on Performance of CRDI Diesel Engine Fueled with Ceiba Pentandra Oil Methyl Ester (CPOME), 2-ethylhexyl nitrate and Diesel Blend
Authors : B.   Karthikeyan, I.   Maximas, S.   Sathiya Narayanan ,

Diesel engines are highly fuel efficient compared to gasoline engines but due to environmental concerns and the depleting amount of petroleum reserves, the need of biofuel is unavoidable in present world. Biodiesel can be easily prepared by renewable stocks and non-toxic as well as it can be used in pure state or by blending with diesel in a conventional diesel engine without any major engine... Read More

Coupled Common Fixed-Point Theorems for Single-Valued Mapping via Generalized Coincidence Property in  Fuzzy Metric Space
Authors : Sushma   Yadav, Kamal   Wadhwa, Rashmi   Tiwari,

The fixed-point theorem gives the conditions under which maps (single or multi-valued) have solutions. Fixed point theory itself is a mixture of analysis that is pure and applied, topology, and geometry. In the past 50 years, the theory of fixed points has come to show something that had been hidden as a very powerful and important tool in the study of non-linear phenomena. In fixed points in... Read More

Green Synthesis and Application of Nickel and Nickel–Lithium Oxide Nanocomposite as Cathodic Materials for  Lithium-Ion Batteries
Authors : M.   Radhamani, V.   Aroulmoji, S.   Poongodi, M.   Mohan, V.   Hariharan,

The present study reports the successful green synthesis of Nickel (Ni) and Nickel–Lithium Oxide (Ni–Li₂O) composite nanoparticles. Powder X-ray diffraction (XRD) analysis confirmed the formation of both Ni and Ni–Li₂O composite nanoparticles with a Face-Centered Cubic (FCC) crystal structure. The average crystallite size of the Nickel nanoparticles was found to be 37.97 nm, while that... Read More

Natural Fibers Reinforced Polymer Composite: Focus on Mechanical, Tribological and Biodegradable Properties
Authors : Mr.   Govinda, Chingakham   Chinglenthoiba, Jitendra Kumar   Katiyar,

Interest in creating sustainable materials, such as natural fiber-reinforced polymer composites, for various industrial applications has increased due to the depletion of petroleum resources and environmental concerns. Natural fibers are strong and enhance the mechanical strength of polymer matrices through their inherent strength, adhesion to polymers, effective load transfer, damping... Read More

Characterization and Molecular Docking Study of Biodegradable Thin Films Synthesized from Basil and Fenugreek Seeds Mucilage for Anti-diabetic Activity
Authors : Vanitha   Arumugam, Mani   Mohan, Vennila   Raj, S.   Gracelin Juliana, Rekha   Pachaiappan,

Recent year’s research works have shown improvement in the development of biodegradable films from greens. They are helpful in the production of edible products related to human health and food packaging applications. Herbal drugs, products, and remedies have been valued for their medicinal qualities that are useful in several biomedical applications. Research community aims to develop the... Read More

 Exploration and Validation of Antimicrobial Phytocompounds for Multi-Drug Resistance from Eclipta alba through                   In Vitro and In Silico Approaches
Authors : Suresh Thanjavur   Mani, Subramanian   Ammashi, R.   Thirumalaisamy, S.   Parvathy, M.   Abareethan, P.   Vadivel, K.S.   Shalini, T.   Selvankumar,

Plant derived compounds show promise in addressing multi-drug resistance (MDR) in pathogens. This study evaluates Eclipta alba ethanolic extract for anti-MDR activity through integrated in vitro and in silico approaches. Phytochemical screening revealed abundant alkaloids, flavonoids, saponins, terpenoids, phenols, coumarins, and steroids, with quantified flavonoids (8.21 ± 0.53 mg QE/g) and... Read More

Modeling the Effects of Ultra-Low Dose Hormone Therapy on Bone Health in Postmenopausal Women: A Mathematical Shock Model Based Analysis
Authors : M.   Shanmugavalli, K.   Majella Jenvi Ignatia, S.   Thanikaikarasan,

This study examines the effects of ultra-low-dose hormone therapy (Ultra-LD HT) on bone turnover in postmenopausal women through the lens of a mathematical shock model. In this framework, intermittent physiological stressors such as fluctuations in bone remodeling dynamics or estrogen depletion are conceptualized as mathematical shocks occurring in a Poisson pattern. These shocks model sudden,... Read More

Influence of Heater Length and Positions on Buoyant Convection of Micropolar Fluid in an Enclosure
Authors : C.   Manjula, V.   Sivakumar, S.   Sivasankaran,

This study analyzes the convection heat transfer to a micropolar fluid in an enclosure with varied heating lengths and locations. The left wall is heated to higher temperatures, either fully or partially, while the right wall remains cooler. The heater is placed at three different positions along the left wall, and insulation is applied to the non-active areas. Using the finite volume method,... Read More

Exploration and Validation of Thrombolytic Phytocompounds from Curcuma amada Roxb through In Vitro and        In Silico Approaches
Authors : Mariappan   Srilatha, Vincent   Aroulmoji, Thirumalaisamy   Rathinavel, C.   Roumana, Mohan   Hariharan, Meganathan   Bhuvaneswari, Subramanian   Ammashi, Ramalingam Karthik   Ramalingam Karthik Raja,

The present study aims to assess antioxidant and thrombolytic efficacy of Curcuma amada Roxb. (Mango ginger) rhizome extracts terpenoid and phenolic compounds as new therapeutic prospects to serve as fibrinolytic agents. Curcuma amada extract was fractioned with different solvents based on polarity by using pure methanol, ethanol, hydro ethanol, and water. Preliminary phytochemical analysis of... Read More

Green Nanoparticles from Solanum nigrum: Proteomic Analysis of Their Effects on Human Gastric Cancer Cells
Authors : Kaavya   Unni, S.   Antony,

Solanum nigrum, commonly known as black nightshade, is abundant in temperate and subtropical regions and is rich in bioactive compounds, including alkaloids, flavonoids, and saponins, which exhibit notable antimicrobial and anticancer properties. With advancements in nanotechnology, silver nanoparticles (AgNPs) have garnered significant attention due to their unique biological activities. In... Read More

Enhanced Low-resolution Face Recognition through Bidirectional GRU with Attentional Focus
Authors : Pranali   Dandekar, Shailendra S.   Aote, Abhijeet   Raipurkar,

Low-resolution face recognition (LRFR) remains a challenging task due to the loss of critical facial details and the domain gap between high-resolution (HR) and low-resolution (LR) images. In this paper, we propose a novel architecture based on a Bi-directional Gated Recurrent Neural Network with an Attention Mechanism (BiGRU-AM) to address these challenges. The model was trained and validated... Read More

IGDTMC- Information Gain Decision Tree Matrix Classifier for Software Metrics Evaluation in Open Source Software
Authors : T.   Arun Nehru, V.   Sangeetha,

This paper proposes an Information Gain (IG) -Decision Tree Matrix (DTM) Classifier (IG-DTMC) method for open-source code, which improves accuracy by optimizing the selection of software metrics. For the software metric subset selection, a subset of metrics is collected by the application of the IG model. Here, the relevant and irrelevant metrics are separated by the using those gathered subset... Read More

Proteomics Approach Revealing Molecular Mechanism behind the Antibacterial Activity of Terminalia chebula in Staphylococcus aureus
Authors : Neethu   Sudarsan, T.A.   Hema,

Patients with long-term diabetes often develop Diabetic Foot Ulcers (DFUs), which are prone to infections that can lead to severe complications, including antibiotic resistance. This study explores the antibacterial potential of Terminalia chebula fruit extracts against Staphylococcus aureus by comparing protein expression in treated and untreated bacterial cells. The analysis revealed... Read More

Integrating Artificial Intelligence into Modern Water Management Frameworks: Review
Authors : Naseera Kannanthodi   Pariyapurath, R.   Tarunprasad, M.   Maghimaa, Selvaraj   Jagannathan, Reshma   Muthuvel,

Water is essential for all forms of life and plays an important role in various aspects of human existence. Water management is essential for addressing water-related challenges, promoting sustainable development, protecting the environment, and ensuring the well-being of communities worldwide. Artificial Intelligence (AI) has become a revolutionary technology in the realm of water treatment,... Read More


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