-
Engineering -
Life Sciences -
Health Sciences -
Physical & Chemical Sciences -
Social Sciences & Humanities
- Multidisciplinary
- Engineering
- Life Sciences
- Health Sciences
- Physical Sciences
- Chemical Sciences
- Social Sciences & Humanities
Past Issues
- 2025 Past Issues
- 2024 Past Issues
- 2023 Past Issues
- 2022 Past Issues
- 2021 Past Issues
- 2020 Past Issues
- 2019 Past Issues
- 2018 Past Issues
-
Call for Papers Feb-2026
Paper Submission: 25-Feb-2026
Publication: 28-Feb-2026
Volume 8 ---> Issue 12
Volume 8 ---> Issue 11
Volume 8 ---> Issue 10
Volume 8 ---> Issue 9
Volume 8 ---> Issue 8
Volume 8 ---> Issue 7
Volume 8 ---> Issue 6
Volume 8 ---> Issue 5
Volume 8 ---> Issue 4
Volume 8 ---> Issue 3
Volume 8 ---> Issue 2
Volume 8 ---> Issue 1
Volume 3 ---> Issue 5
Volume 8 ---> Issue 11
Volume 8 ---> Issue 10
Volume 8 ---> Issue 9
Volume 8 ---> Issue 8
Volume 8 ---> Issue 7
Volume 8 ---> Issue 6
Volume 8 ---> Issue 5
Volume 8 ---> Issue 4
Volume 8 ---> Issue 3
Volume 8 ---> Issue 2
Volume 8 ---> Issue 1
Volume 3 ---> Issue 5
Volume 8 ---> Issue 3
Volume 7 ---> Issue 12
Volume 7 ---> Issue 11
Volume 7 ---> Issue 10
Volume 7 ---> Issue 9
Volume 7 ---> Issue 8
Volume 7 ---> Issue 7
Volume 7 ---> Issue 6
Volume 7 ---> Issue 5
Volume 7 ---> Issue 4
Volume 7 ---> Issue 3
Volume 7 ---> Issue 2
Volume 7 ---> Issue 1
Volume 6 ---> Issue 9
Volume 6 ---> Issue 8
Volume 6 ---> Issue 7
Volume 6 ---> Issue 4
Volume 6 ---> Issue 3
Volume 3 ---> Issue 12
Volume 2 ---> Issue 3
Volume 7 ---> Issue 12
Volume 7 ---> Issue 11
Volume 7 ---> Issue 10
Volume 7 ---> Issue 9
Volume 7 ---> Issue 8
Volume 7 ---> Issue 7
Volume 7 ---> Issue 6
Volume 7 ---> Issue 5
Volume 7 ---> Issue 4
Volume 7 ---> Issue 3
Volume 7 ---> Issue 2
Volume 7 ---> Issue 1
Volume 6 ---> Issue 9
Volume 6 ---> Issue 8
Volume 6 ---> Issue 7
Volume 6 ---> Issue 4
Volume 6 ---> Issue 3
Volume 3 ---> Issue 12
Volume 2 ---> Issue 3
Volume 6 ---> Issue 12
Volume 6 ---> Issue 11
Volume 6 ---> Issue 10
Volume 6 ---> Issue 9
Volume 6 ---> Issue 8
Volume 6 ---> Issue 7
Volume 6 ---> Issue 6
Volume 6 ---> Issue 5
Volume 6 ---> Issue 4
Volume 6 ---> Issue 3
Volume 6 ---> Issue 2
Volume 6 ---> Issue 1
Volume 5 ---> Issue 6
Volume 5 ---> Issue 5
Volume 5 ---> Issue 1
Volume 4 ---> Issue 10
Volume 4 ---> Issue 3
Volume 4 ---> Issue 1
Volume 3 ---> Issue 12
Volume 3 ---> Issue 10
Volume 3 ---> Issue 8
Volume 3 ---> Issue 6
Volume 2 ---> Issue 7
Volume 2 ---> Issue 4
Volume 1 ---> Issue 5
Volume 1 ---> Issue 4
Volume 1 ---> Issue 3
Volume 6 ---> Issue 11
Volume 6 ---> Issue 10
Volume 6 ---> Issue 9
Volume 6 ---> Issue 8
Volume 6 ---> Issue 7
Volume 6 ---> Issue 6
Volume 6 ---> Issue 5
Volume 6 ---> Issue 4
Volume 6 ---> Issue 3
Volume 6 ---> Issue 2
Volume 6 ---> Issue 1
Volume 5 ---> Issue 6
Volume 5 ---> Issue 5
Volume 5 ---> Issue 1
Volume 4 ---> Issue 10
Volume 4 ---> Issue 3
Volume 4 ---> Issue 1
Volume 3 ---> Issue 12
Volume 3 ---> Issue 10
Volume 3 ---> Issue 8
Volume 3 ---> Issue 6
Volume 2 ---> Issue 7
Volume 2 ---> Issue 4
Volume 1 ---> Issue 5
Volume 1 ---> Issue 4
Volume 1 ---> Issue 3
Volume 5 ---> Issue 12
Volume 5 ---> Issue 10
Volume 5 ---> Issue 9
Volume 5 ---> Issue 8
Volume 5 ---> Issue 7
Volume 5 ---> Issue 6
Volume 5 ---> Issue 5
Volume 5 ---> Issue 4
Volume 5 ---> Issue 3
Volume 5 ---> Issue 2
Volume 5 ---> Issue 1
Volume 3 ---> Issue 11
Volume 3 ---> Issue 9
Volume 3 ---> Issue 3
Volume 2 ---> Issue 12
Volume 2 ---> Issue 4
Volume 1 ---> Issue 10
Volume 1 ---> Issue 8
Volume 1 ---> Issue 5
Volume 2 ---> Issue 1
Volume 5 ---> Issue 10
Volume 5 ---> Issue 9
Volume 5 ---> Issue 8
Volume 5 ---> Issue 7
Volume 5 ---> Issue 6
Volume 5 ---> Issue 5
Volume 5 ---> Issue 4
Volume 5 ---> Issue 3
Volume 5 ---> Issue 2
Volume 5 ---> Issue 1
Volume 3 ---> Issue 11
Volume 3 ---> Issue 9
Volume 3 ---> Issue 3
Volume 2 ---> Issue 12
Volume 2 ---> Issue 4
Volume 1 ---> Issue 10
Volume 1 ---> Issue 8
Volume 1 ---> Issue 5
Volume 2 ---> Issue 1
Volume 4 ---> Issue 12
Volume 4 ---> Issue 11
Volume 4 ---> Issue 10
Volume 4 ---> Issue 9
Volume 4 ---> Issue 8
Volume 4 ---> Issue 7
Volume 4 ---> Issue 6
Volume 4 ---> Issue 5
Volume 4 ---> Issue 4
Volume 4 ---> Issue 3
Volume 4 ---> Issue 2
Volume 4 ---> Issue 1
Volume 3 ---> Issue 12
Volume 3 ---> Issue 10
Volume 3 ---> Issue 6
Volume 3 ---> Issue 3
Volume 3 ---> Issue 1
Volume 2 ---> Issue 6
Volume 2 ---> Issue 5
Volume 2 ---> Issue 3
Volume 2 ---> Issue 2
Volume 1 ---> Issue 10
Volume 1 ---> Issue 8
Volume 1 ---> Issue 4
Volume 2 ---> Issue 1
Volume 4 ---> Issue 11
Volume 4 ---> Issue 10
Volume 4 ---> Issue 9
Volume 4 ---> Issue 8
Volume 4 ---> Issue 7
Volume 4 ---> Issue 6
Volume 4 ---> Issue 5
Volume 4 ---> Issue 4
Volume 4 ---> Issue 3
Volume 4 ---> Issue 2
Volume 4 ---> Issue 1
Volume 3 ---> Issue 12
Volume 3 ---> Issue 10
Volume 3 ---> Issue 6
Volume 3 ---> Issue 3
Volume 3 ---> Issue 1
Volume 2 ---> Issue 6
Volume 2 ---> Issue 5
Volume 2 ---> Issue 3
Volume 2 ---> Issue 2
Volume 1 ---> Issue 10
Volume 1 ---> Issue 8
Volume 1 ---> Issue 4
Volume 2 ---> Issue 1
Volume 3 ---> Issue 12
Volume 3 ---> Issue 11
Volume 3 ---> Issue 10
Volume 3 ---> Issue 9
Volume 3 ---> Issue 8
Volume 3 ---> Issue 7
Volume 3 ---> Issue 6
Volume 3 ---> Issue 5
Volume 3 ---> Issue 4
Volume 3 ---> Issue 2
Volume 3 ---> Issue 1
Volume 2 ---> Issue 11
Volume 2 ---> Issue 2
Volume 1 ---> Issue 10
Volume 1 ---> Issue 9
Volume 1 ---> Issue 3
Volume 3 ---> Issue 11
Volume 3 ---> Issue 10
Volume 3 ---> Issue 9
Volume 3 ---> Issue 8
Volume 3 ---> Issue 7
Volume 3 ---> Issue 6
Volume 3 ---> Issue 5
Volume 3 ---> Issue 4
Volume 3 ---> Issue 2
Volume 3 ---> Issue 1
Volume 2 ---> Issue 11
Volume 2 ---> Issue 2
Volume 1 ---> Issue 10
Volume 1 ---> Issue 9
Volume 1 ---> Issue 3
Volume 2 ---> Issue 12
Volume 2 ---> Issue 11
Volume 2 ---> Issue 10
Volume 2 ---> Issue 9
Volume 2 ---> Issue 6
Volume 2 ---> Issue 5
Volume 2 ---> Issue 4
Volume 2 ---> Issue 3
Volume 2 ---> Issue 2
Volume 2 ---> Issue 8
Volume 2 ---> Issue 1
Volume 2 ---> Issue 11
Volume 2 ---> Issue 10
Volume 2 ---> Issue 9
Volume 2 ---> Issue 6
Volume 2 ---> Issue 5
Volume 2 ---> Issue 4
Volume 2 ---> Issue 3
Volume 2 ---> Issue 2
Volume 2 ---> Issue 8
Volume 2 ---> Issue 1
Call for Papers
Manual Article Submission
Email Us : editor@ijamsr.com
Track Your Article
Special Issue
Past Issues
Design and Implementation of a Deep Learning Framework for Fault Detection and Localization in Wireless Sensor Networks Using CNN in MATLAB Environment
Vaishali Chauhan, Dr. Sumit Kumar Gupta
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8411
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8411
Download PDF
Google Search
Abstract
This study presents a deep learning-based fault detection and localization framework for Wireless Sensor Networks (WSNs) employing Convolutional Neural Networks (CNN). Implemented within a MATLAB simulation environment featuring dynamic node deployment, fault injection, and an interactive GUI, the system effectively identifies faulty sensor nodes by analyzing environmental parameters like temperature and voltage. The CNN model demonstrated robust detection performance, achieving accuracies between 60% and 90% across various simulation scenarios.
Dynamic Analysis of Solar Cell Efficiency Considering Irradiance and Temperature Effects Using MATLAB Simulink
Prabhakar Kumar, Dr. Janardan Choudhary
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8412
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8412
Download PDF
Google Search
Abstract
This study presents the analysis and optimization of solar cell performance using the MATLAB Simulink model. The research focuses on understanding the electrical behaviour of photovoltaic (PV) systems under varying environmental conditions such as irradiance and temperature. A mathematical model was developed to simulate current–voltage (I–V) and power–voltage (P–V) characteristics, followed by implementation of Maximum Power Point Tracking (MPPT) algorithms including Perturb & Observe (P&O) and Incremental Conductance (IncCond).
Colonial Modernity and Its Influence on Women’s Cultural Roles in Bengal (1900–2020)
Arundhati Das, Dr. Kamlesh Kumar
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8413
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8413
Download PDF
Google Search
Abstract
This study examines the transformative influence of modernization on women’s roles in preserving cultural heritage in Bengal’s coastal region from 1900 to 2020. Historically regarded as custodians of oral traditions, rituals, and indigenous crafts, women have progressively incorporated modern economic activities and digital technologies into heritage preservation.
The Spatio-Temporal Behaviour of Groundwater in The West Singhbhum District, Jharkhand
Simion Soren
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8414
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8414
Download PDF
Google Search
Abstract
This study examines the spatio-temporal behaviour of groundwater in the West Singhbhum district of Jharkhand, a hard-rock and mining-dominated region where groundwater is the primary source of drinking, domestic, agricultural, and industrial supply. Using seasonal groundwater-level records, physicochemical data and GIS-based spatial analysis, the study evaluates how groundwater quantity and quality vary across locations and between pre- and post-monsoon periods.
The Impact of Globalisation on Economic Development
Dr. Apurba Barman
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8415
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8415
Download PDF
Google Search
Abstract
Globalisation has emerged as a defining feature of the contemporary world economy, reshaping production, trade, investment, and communication patterns across nations. It connects economies through international trade, foreign direct investment, and the diffusion of technology and ideas.
Advanced Machine Learning and Data Mining Techniques for Analysing Consumer Behavior Patterns in Large-Scale Transactional, Textual, and Rating Datasets
Rupam Kumari, Prof. (Dr.) Anand Kumar, Dr. Supriya Shree
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8416
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8416
Download PDF
Google Search
Abstract
This study explores advanced machine learning and data mining techniques to analyse consumer behaviour patterns using large-scale transactional, textual, and rating datasets. Through integrating psychological, emotional, and behavioural dimensions, the research demonstrates how consumer decisions are shaped by cultural, social, and affective factors expressed through digital footprints. Using the Online Retail dataset and a 1M-record electronics rating dataset, the study applies clustering, PCA, text mining, collaborative filtering, and multiple classification models.
Phytochemical Profiling and Antioxidant Potential of Different Solvent Fractions of Madhuca Longifolia for Alzheimer’s Disease
Vyas Shraddha, Dr. Manish Kumar
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8417
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8417
Download PDF
Google Search
Abstract
Alzheimer's disease (AD) is a neurological related disease and it is most common cause for dementia. Also, AD causes many disability and important socio-economic burden, but till to date no cure available. The analysis focused on determining the total phenolic content, total flavonoid content, and antioxidant activities using DPPH radical scavenging assay, hydroxyl radical scavenging assay, and total antioxidant capacity. The results revealed significant variations among the extracts. The ethyl acetate fraction exhibited the highest total phenolic content (97.30 ± 0.47 mg GAE/g) and strong DPPH radical scavenging activity (IC₅₀ = 4.81 ± 0.02 μg/mL), comparable to the standard antioxidant catechin. The aqueous fraction recorded the highest flavonoid content (175.82 ± 0.65 mg CE/g) and demonstrated superior hydroxyl radical scavenging activity (IC₅₀ = 9.66 ± 0.27 μg/mL), along with the highest total antioxidant capacity (0.555 ± 0.009 absorbance at 80 μg/mL). In contrast, the petroleum ether fraction showed minimal phytochemical and antioxidant potential.
Dominance and Abusive Licensing Practices in Standard Essential Patents in India
M. Varalakshmi, Dr. Balasaheb Garje
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8418
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8418
Download PDF
Google Search
Abstract
The argument about the competitive effects of Standard Essential Patents (SEPs) has heated up in recent years, especially in countries like India where the IT and telecom industries are growing at a rapid pace and patent holders have a lot of sway over the market. This research delves into the SEP ecosystem in India, specifically looking at the dominance and abusive licensing practices. It focuses on how intellectual property rights and competition legislation interact to form equitable access to critical technologies. This research examines how dominant SEP holders can undermine fair, reasonable, and non-discriminatory (FRAND) commitments through tactics such as hold-up, discriminatory licensing, excessive royalty demands, refusal to license, and coercive injunction threats. It draws on landmark cases, regulatory reports, international best practices, and academic literature to support its claims. This article takes a look at the Competition Act, 2002, the CCI's function, and new judicial tendencies that affect the enforcement of SEPs. Market competition, innovation, and accessibility are all jeopardized by the findings, which show that there are ongoing uncertainties about the meaning of FRAND, inconsistent enforcement, and insufficient protections against strategic behavior by SEP holders.
Effect of Mobility Models on The Throughput Performance of Manet Routing Protocols
Megha D R, Dr. G Soma Sekhar
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8419
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8419
Download PDF
Google Search
Abstract
Since nodes in a mobile ad hoc network (MANET) are constantly moving from one location to another, the network's topology is always changing. Because of this, picking a routing protocol that works well in different mobility scenarios is a major obstacle. This research documents the results of a performance evaluation of Dynamic Source Routing (DSR) and Destination Sequenced Distance Vector (DSDV), two popular MANET routing protocols, using simulations under various mobility scenarios. The protocols are tested using NS-2 (version 2.27), and their UDP throughput is examined in relation to four different mobility models: Freeway, Manhattan, Random Point Group Mobility, and Random Waypoint, all of which accommodate different node speeds. Regardless of the mobility model or speed change, the simulation findings show that DSR provides a steadier and greater UDP throughput than DSDV. Although DSDV works okay when network size is small and mobility is low, its performance suffers as network speed and node density increase because of the increased routing overhead.
Assessing The Role Of Guard Bands In Optimizing Call Management In Cellular Networks
Jyoti Balkrishna Patil, Dr. Sunil Bhutoda
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8420
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8420
Download PDF
Google Search
Abstract
Prioritization of new and handover calls is accomplished using the suggested model. It is presumed that the system follows a queuing strategy and reservation channel scheme to preserve the HO priority. This research looked at how guard bands affected the likelihood of new calls being blocked, the likelihood of HO calls being dropped, and the average waiting periods for new and HO real-time connections. Increasing arrival rates had a substantial influence on dropping and blocking probabilities, according to the findings. The guard band substantially reduced HO call drops by a factor of two to twenty compared to the scenarios without the band. Also, the data showed that a guard band reservation method did help with HO call handling, but it made new connections take longer to establish.
Blended Learning as a Transformative Pedagogical Model in Contemporary Education
Piyali Paul, Dr. Yashpal Singh
CrossRef DOI : 10.31426/ijamsr.2025.8.6.8421
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.6.8421
Download PDF
Google Search
Abstract
Blended learning is a way of teaching that combines traditional classroom instruction with internet materials and discussion boards. The teacher and the student must be present in person, and the student must have some influence over the time and place. Technological advances like smart robots, digital automation, mobile supercomputing, and artificial intelligence are driving the present generation.
Information for Authors
Search Article



