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
0.6

i SCOPUS INDEXED



Editor-in-Chief

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

Assessment of Air Quality and Evaluation of ANN-Based Prediction Model in Non-Attainment Cities of Madhya Pradesh

Design and Analysis of Hybrid Natural Fiber Composites: A Combined FEA and Experimental Approach

Comparative Evaluation of Machine Learning Algorithms for IoT-Based Human Activity Recognition

Comparative Evaluation of Growth, Survival and Biochemical composition of the Whiteleg Shrimp (PENAEUS VANNAMEI) Cultured under Low Saline and Saline Pond Conditions

Mathematical Modeling of Glioma Virotherapy with Immune Response using Homotopy Perturbation Method

An Explainable Generative AI Framework for Multi-Model Data-Driven Drug Discovery Using Deep Learning and Multi-Objective Optimization

Phytochemical Analysis of the Ethanolic Seed Extract of Strychnos potatorum: Identification of Bioactive Compounds and their Potential Pharmacological Significance

Deep Transfer Learning-Based Lung Cancer Classification using VGG16 Architecture

A Comparative Study of Hardness and Impact Strength of Chicken-Eggshell Powder-Reinforced Aluminum Composites

Current Issue (In Progress)

Volume -12, Issue - 3,  March 2026

Privacy Preserving on Screen Activity Classification using Stacking Ensemble Federated Learning
Authors : N.   Vaishnavi, A.   Devi,

Online learning environments are dynamic and scattered, making user activity evaluation difficult for e-learning systems. This study proposes an autonomous and intelligent evaluator utilizing Stacking Ensemble Federated Learning (SEFL). First, each compute node trains locally on its dataset using eight CNN architectures (DenseNet169, MobileNetV2, Xception, VGG16, ResNet50, DenseNet121, and... Read More

Resilience Paradigms Enabled Internet of Things (IoT) Framework to Magnify an Uninterrupted Solar  PV Monitoring System
Authors : Kavitha   Veluchamy, V.   Malathi, J.   Rajalakshmi,

This research explores a smart, wireless, Internet of Things (IoT)-based system to monitor a 125-watt photovoltaic (PV) module. The proposed system continuously monitors current, voltage, irradiance, and temperature, addressing challenges posed by fluctuating solar output due to environmental conditions, panel status, and dirt accumulation. A Wi-Fi-enabled microcontroller ensures the persistent... Read More

Transparent PMMA–ZnO Nanocomposite Films: Antibacterial Performance, Optical Response, and Crystallinity
Authors : M.   Sujatha, K.   Thanigai Arul, E.   Manikandan,

Wet-chemical process to prepare the ZnO nanoparticles, and this were then incorporated in different proportions of weight to a poly (methyl methacrylate) (PMMA) matrix. Bulk ZnO particles were also embedded in PMMA for comparison. The structural and vibrational properties of the composites were investigated using X-ray diffraction (XRD), Fingerprint Raman spectroscopy (RS), and high-resolution... Read More

Validation and Performance Analysis of Machine Learning Algorithms for Mental Workload Estimation Using NASA-TLX
Authors : Zafar   Khan, Sapna   Prabhu,

This study evaluated the performance of machine learning algorithms in classifying mental workload among 74 undergraduate students (aged 19–22) during a controlled multitasking experiment conducted on the LabintheWild platform. Immediately following the task, participants self-reported their perceived workload using the NASA Task Load Index (NASA-TLX), rating six dimensions-Mental Demand,... Read More

Optimizing Carbon Nanotube Addition for Enhanced Performance and Emission Control in CI Engines Fueled with Hevea Brasiliensis Biodiesel
Authors : Ganesan   Saravanan, Rajasekar   Rajendran, Sabarish   Rajagopalan, Shenbhagaraman   Ramalingam,

Biodiesel obtained from renewable sources is an auspicious alternative to regular diesel due to its sustainability and low environmental impact. This study examines the influence of carbon nanotube (CNT) additives on the operation and emission features of a compression ignition engine using Hevea Brasiliensis biodiesel (HBBD20) fuel along with CNT mixed blends (HBBD20 CNT 30 ppm, HBBD20 CNT 60... Read More

Formulation and Evaluation of Tridax Procumbens Herbal Gel to Treat Periodontitis on Animal Model
Authors : C.   Keerthana, G.   Kokila, R.   Renuka Devi, C.   Nitya, T.   Vignesh ,

Herbal alternatives are increasingly explored in periodontal therapy to minimize the adverse effects associated with conventional antimicrobials. This animal study evaluated the efficacy of 15% Tridax procumbens gel (Group A) in experimentally induced periodontitis using a split-mouth design in four male rabbits, with 2% chlorhexidine gel (Group B) as the control. Periodontitis was induced using... Read More

Feasibility Study on the Innovative Use of Electronic Waste for Sustainable Green Concrete
Authors : N.   Ramya, T.   Mahadevaiah, S. A.   Sharada, S.   Pradeepa,

This study explores the potential of using electronic waste (e-waste) as an alternative to traditional coarse aggregates (CA) in concrete production to address the growing concerns of e-waste accumulation and the depletion of natural resources in the construction industry. The research evaluates the sustainability, durability, and structural performance of concrete mixtures with e-waste... Read More

An Explainable Generative AI Framework for Multi-Model Data-Driven Drug Discovery  using Deep Learning and Multi-Objective Optimization
Authors : Srigiri S   Venumadhav, Cuddapah   Anitha,

Drug discovery has traditionally been constrained by time-intensive and cost-prohibitive experimental screening. The proposed study introduces an Explainable Generative Multi-Objective Framework (EGMOF) for end-to-end drug discovery. The framework combines four major modules: (1) Data Preprocessing and Representation using MolFormer for molecular embeddings and ProtT5 for protein sequence... Read More

Sustainable Biodegradation of Recalcitrant HDPE Plastics using Bacillus pseudomycoides: A Microbial Approach  towards Plastic Waste Mitigation
Authors : R.   Lathika, Gayathri Devi   Sundaramurthy, Nithya   Elango, Velvizhi   Selvaraj, Prakash   Balu, Uun   Yanuhar,

: High Density Polyethylene (HDPE) plastic is one of the most resistant manmade polymers, posing significant environmental challenges. In this study, microbes capable of growing on this recalcitrant plastic were isolated from soil samples collected from plastic contaminated areas. The isolated Bacillus pseudomycoides utilized High-Density Polyethylene (HDPE) of 75 microns as the sole carbon... Read More

Focal Structure of Azimuthally Polarized Bessel-Modulated Gaussian Vortex Beams in High-Numerical-Aperture  Focusing Systems
Authors : M.   Udhayakumar, M.   Kumara Dhas, S.   Ramachandran, K.   Sangeetha, K.   Prabakaran, V.   Aroulmoji, K. B.   Rajesh,

The focusing behavior of an azimuthally polarized, axisymmetric Bessel-modulated Gaussian (QBG) beam through dielectric interface using vector diffraction theory in a high-numerical-aperture system. The results indicate that the intensity pattern in the focal region can be significantly controlled by the beam parameter ????. In contrast, the parameter ???? strongly affects the axial intensity... Read More

Phytochemical Analysis of the Ethanolic Seed Extract of Strychnos potatorum: Identification of Bioactive Compounds and their Potential Pharmacological Significance
Authors : Monisha   Prasad, Dinesh Kumar   Venkatachalam, A.   Shalini, S.   Manoj Kumar, Malarveni Damodaran   Lakshmi Priya,

The plants have been known to synthesize bioactive compounds that can be used to treat diseases. Phytochemicals in seeds, including alkaloids, flavonoids, and polyphenols, possess anti-inflammatory, antioxidant, and antidiabetic activity. The clearing-nut tree (Strychnos potatorum Linn.) has been traditionally used in Ayurveda and traditional medicine to treat diseases of the eye, liver and... Read More

Deep Transfer Learning-Based Lung Cancer Classification using VGG16 Architecture
Authors : C.   Vijaya Lakshmi, Y.   Dileep Kumar ,

Lung cancer is one of the leading causes of cancer-related deaths worldwide, making early and accurate detection essential. This study presents a CNN-based framework using the pre-trained VGG16 model for automated lung cancer classification from chest CT scans. The approach performs both binary (cancerous vs. non-cancerous) and multi-class classification of four subtypes: Adenocarcinoma, Large... Read More

Impact of Lead Rubber Bearings on Plan-Irregular Reinforced Concrete Buildings under Low and High PGA/PGV Earthquake Ground Motions
Authors : Mr.   Akash, Ajay Kumar   Sinha,

Hybrid isolation–damping systems improve structural resilience under near-fault ground motions, yet their application to plan-irregular buildings with strong torsional effects remains limited. This research investigates the seismic resilience of reinforced concrete (RC) frame buildings having plan irregularities. Fixed-base and lead rubber bearing (LRB) isolated models were developed employing... Read More

Assessment of Air Quality and Evaluation of ANN-Based Prediction Model in Non-Attainment Cities of Madhya Pradesh
Authors : Vineet   Kushwaha, Anil Kumar   Sharma,

Air pollution has now become one of the major ecological problems in the Indian cities that has several negative effects on human health and environment. This study developed and tested an Artificial Neural Network (ANN) to predict multi-pollutants in five cities of Madhya Pradesh, i.e. Bhopal, Dewas, Indore, Jabalpur and Ujjain, to examine the city-specific pollutant concentration and... Read More

Effect of Caffeic acid from Vietnamese Perilla frutescens (L.) Britt. leaves in Zymosan-induced inflammation on Macrophages
Authors : Trinh Tat   Cuong, Duong Duc   Thien, Pham Doan   Kien, Nguyen Ngoc   Quan, Khuat Quang   Nhat, Nguyen Nam   Khanh, Pham Gia   Khang, Truong Mai   Chi, Do Nguyen   Minh Anh,

Perilla frutescens (L.) Britt. leaves contain many published bioactive compounds. In this study, caffeic acid (CA) was isolated from Perilla frutescens (L.) Britt. leaves were demonstrated to have anti-inflammatory properties through zymosan in Raw 264.7. CA was evaluated by HPLC. TNF-α, IL-6, IL-1β, and IL-10 stimulated by zymosan were significantly inhibited by pretreatment with CA (40... Read More


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