| Paper ID |
IJIFR/V13/E1/012
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| Author |
Durga Chakradhar Reddy, Biotecnika
Elamathi Natrajan
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| Paper Title |
DEEP LEARNING FOR CANCER CLASSIFICATION: A COMPREHENSIVE STUDY USING CNNS AND TRANSFER LEARNING
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| Subject Category |
medical imaging, cancer classification
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| Abstract |
Cancer remains a significant global health burden, claiming millions of lives annually due to delayed or inaccurate diagnoses. Traditional diagnostic approaches often struggle with consistency and speed, creating an urgent need for automated solutions. In this research, we investigated how deep learning techniques could revolutionize cancer detection across multiple imaging modalities. Our study focused on developing and comparing two distinct approaches: custom-designed Convolutional Neural Networks and transfer learning using the ResNet50 architecture.
We assembled datasets representing three critical cancer types: skin lesions from the HAM10000 collection, lung adenocarcinoma histopathological samples, and brain tumour CT scans. Through careful preprocessing and strategic data augmentation, we created robust training environments for both model types. Our experiments show surprising results - while conventional wisdom suggests that sophisticated pre-trained models should outperform simpler architectures, our custom CNN consistently achieved 99% accuracy across all cancer types, significantly outpacing ResNet50's 80% accuracy on skin cancer classification.
These findings challenge existing assumptions about the effectiveness of transfer learning in medical imaging and demonstrate that thoughtfully designed, task-specific architectures can deliver exceptional diagnostic performance. The implications extend beyond accuracy metrics, suggesting practical pathways for implementing AI-assisted diagnosis in clinical settings where speed, reliability, and computational efficiency are paramount.
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| Keyword |
cancer classification, histopathological images, convolutional neural networks,deep learning
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| Paper ID |
IJIFR/V13/E1/011
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| Author |
Dr.P.V.AMUTHA, SRI KRISHNA ARTS AND SCEINCE COLLEGE, TAMILNADU
Dr.M.BHUVANESWARI, SRI KRISHNA ARTS AND SCEINCE COLLEGE, TAMILNADU
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| Paper Title |
REFORMING TAXATION IN INDIA: BEHAVIORAL, FISCAL, AND FINANCIAL IMPLICATIONS OF THE NEW TAX REGIME
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| Subject Category |
TAX
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| Abstract |
ABSTRACT
The introduction of India’s New Tax Regime (NTR) was intended to simplify taxation, reduce rates, and enhance compliance. However, the behavioral, fiscal, and financial implications of this policy remain underexplored. This paper investigates taxpayer awareness, perceptions, attitudes, and financial behavior under the NTR using Structural Equation Modeling (SEM) and Analysis of Variance (ANOVA) on survey-based data (n=50, simulated). SEM results reveal that perceived simplicity and fairness significantly influence attitudes, which in turn drive intention to adopt NTR and changes in saving behavior. ANOVA indicates significant differences across age and income groups in awareness and preference for tax regimes. The findings provide insights for policymakers on how behavioral factors influence fiscal outcomes and financial planning in the context of tax reform.
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| Keyword |
Keywords : Fiscal policy, Taxation in India, Old Tax Regime (OTR),New Tax Regime (NTR),Personal income tax, Exemptions and deductions
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| Paper ID |
IJIFR/V13/E1/010
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| Author |
A. Lakshmi Lavanya, JNTU Ananthpuram Andhra Pradesh
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| Paper Title |
Image Retrieval By Partition And Region Based Approaches
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| Subject Category |
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| Abstract |
The amount of pictorial data grows enormously with the expansion of the World
Wide Web. From the large number of images, it is very important for users to
retrieve desired images via an efficient and effective mechanism. In this paper
we propose two efficient approaches to facilitate image retrieval by using a
simple method to represent the image content. Each image is partitioned into
m×n equal-sized sub-images (or blocks). A color that has enough number of
pixels in a block is extracted to represent its content. In the first approach, the
image content is represented by the extracted colors of the blocks. The spatial
information of images is considered in image retrieval. In the second approach,
the colors of the blocks in an image are used to extract objects (or regions). A
block-level process is proposed to perform the region extraction. The spatial
information of regions is considered unimportant in image retrieval. Our
experiments show that these two block-based approaches can speed up the image
retrieval. Moreover, the two approaches are effective for different requirements
of image similarity. Users can choose a proper approach to process their queries
based on their similarity requirements.
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| Keyword |
Image Retrieval, Region-Based Approach, Similarity Measures, Representative Color, Query Processing , Feature Extraction, Partition-Based Approach
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| Paper ID |
IJIFR/V13/E1/009
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| Author |
Ms.Radhika.J, Sri Krishna Arts and Science College
Dr.P.R.Brinda Kalyani, Sri Krishna Arts and Science College
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| Paper Title |
Financial Diagnostics and Forecast Modelling of Selected Pharmaceutical Companies
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| Subject Category |
Finance
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| Abstract |
In an era where healthcare innovation and economic performance intersect, the pharmaceutical industry stands as both a public lifeline and a strategic growth engine. However, despite its growth, the industry shows financial ups and downs that need closer study and future planning. This study focuses on evaluating and forecasting the financial performance of ten major Indian pharmaceutical companies over an 11-year period (2013–2024). Addressing the need for consistent and forward-looking financial insights, it applies ratio analysis and ARIMA forecasting to measure key indicators such as profitability, liquidity, solvency, and efficiency. The methodology uses secondary data from audited financial reports. Statistical tools including ANOVA and Tukey HSD were employed to assess variations, while ARIMA models were used to project Net Profit Margin and Return on Equity up to 2027. Findings reveal Divis Labs as the most stable and high-performing firm across profitability, solvency, and liquidity. Zydus and Alembic also exhibit strong returns and operational efficiency, while Lupin consistently lags across metrics. Most companies showed significant differences in financial performance, except for efficiency ratios, which remained uniform. Based on these insights, companies like Cipla and Sun Pharma are encouraged to improve consistency, while Lupin and Aurobindo require urgent operational restructuring. The study concludes that while some firms are financially resilient and dignified for future growth, others must adopt more robust planning and forecasting mechanisms. This integrated evaluation offers valuable direction to investors and corporate strategists for enhancing financial sustainability in the evolving pharmaceutical landscape.
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| Keyword |
Financial Performance, Pharmaceutical Companies, Performance Evaluation, Forecasting Models, Ratio Analysis,ARIMA Forecasting
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| Paper ID |
IJIFR/V13/E1/008
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| Author |
Christina Sylvia.I, Ph.D scholar, Department of English, Bharathiar University
Dr. Anin Leema, Professor, Nirmala College For Women,Nirmala College For Women
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| Paper Title |
The Other Gender: Reimagining Dalit Masculinity in Women Centric Dalit Narratives of Bama and P. Shivkami
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| Subject Category |
English
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| Abstract |
This paper examines and portrays the construction and representation of Dalit masculinity in the works of Bama and P. Sivakami, the two eminent Dalit women writers. While much scholarship has focused always only on Dalit women’s oppression and voices of resistance, the role and representation of Dalit men always remains comparatively underexplored and has received less attention in the field of research. Through a close reading of Bama’s Karukku, Sangati, and Vanmam alongside Sivakami’s The Grip of Change and her Author’s Notes, this article interrogates how masculinity emerges under the interlocking pressures of caste, class, and patriarchy. Drawing on Connell’s theory of hegemonic masculinity and Dalit feminist critique, the article argues that Dalit men occupy a contradictory position: they are subjugated by upper-caste patriarchy yet often reproduce and showcase patriarchal oppression within their own communities especially with women. Both writers challenge the romanticization of Dalit masculinity, presenting it instead as fractured, ambivalent, and in need of transformation.
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| Keyword |
Dalit Masculinity, Bama, P. Sivakami, Caste And Gender, Hegemonic Masculinity, Tamil Dalit Literature
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| Paper ID |
IJIFR/V13/E1/007
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| Author |
Prof. Elia R Chandane, SSWCOE, Solapur, India
Dr. S. C. Mhamane, Dr. S. C. Mhamane
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| Paper Title |
DVB using MIMO-OFDM
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| Subject Category |
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| Abstract |
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| Keyword |
MIMO OFDM, DVB
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| Paper ID |
IJIFR/V13/E1/006
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| Author |
Vinaya M. Chaturvedi, M S U UNIVERSITY
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| Paper Title |
To inform and enhance the current and future programmes and policies aimed at the overall development of teachers & quality of education in India.
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| Subject Category |
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| Abstract |
The country has made extraordinary progress in its education system, but – as in any other country – there always lie opportunities for improvement. Enhancing the quality of education and the learning outcomes of students is naturally considered to be of utmost priority, but equally important is the need to recognize and value teachers, given that they are paramount in this endeavor. Teacher-centric practices dominate the Indian pedagogical landscape in both government and private schools, and in most subject areas. These practices are linked to teachers’ beliefs regarding their learners, the process of learning, subject matter and the aims of education. Teachers who successfully address the learning needs of children from underprivileged and marginalized groups are found to have positive attitudes towards their students. Teacher availability has improved, however PTRs are adverse in secondary schools and there is no information on the availability of special education, music, arts and physical education teachers. The extent of availability and deployment of subject teachers is also not known. Almost all single-teacher schools are in rural areas. The states of India need special efforts to improve availability of qualified teachers and deployment. In about 15 years, 27 per cent of the current workforce will need to be replaced. The work force has a deficit of over 1 million teachers (at current student strength), and is likely to need to grow overall given the shortages of teachers in certain education levels and subjects such as early childhood education, special education, physical education, music, arts, and curricular streams of vocational education
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| Keyword |
Teachers Development, Education quality, learning needs, teachers shortage
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| Paper ID |
IJIFR/V13/E1/005
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| Author |
Hailegebrel Zewdie Woldetensay, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
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| Paper Title |
Raising the Proportion of Renewable Energy in Road Transportation to Enhance the Use of Renewable Energy in Road Transportation.
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| Subject Category |
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| Abstract |
The automobile industry, together with other related sectors, employs the majority of working people and is the foundation of the global economy. The question arises because the vast majority of automobiles in the world have internal combustion engines and run on either gasoline or diesel fuel. On the one hand, there is a growing scarcity of oil resources. This can be attributed to the fact that a great deal of countries still rely mostly on fossil fuels for electricity and fuel for transportation. However, as the world's population grows, there will be a greater proportion of fuel-consuming automobiles. The ultimate purpose of using alternative fuels is to reduce energy consumption in the transportation sector, especially the use of fossil fuels and the associated emissions. By boosting the share of renewable energy sources like wind, solar power, and hydropower in the power supply system, the detrimental environmental consequences of electric vehicles may be efficiently reduced . Electric cars are only environmentally friendly while they are in service. Electric vehicles (EVs) can reduce vehicular emissions more efficiently if they are powered by renewable energy, avoiding pollution caused by fossil-fuel-powered generating stations. Therefore, raising the proportion of renewable energy in road transportation is an urgent need for action. This paper is an effort to enhance the use of renewable energy in road transportation.
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| Keyword |
Environmental degradation, Alternative fuels, Greenhouse gases, Emission, Pollution control
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| Paper ID |
IJIFR/V13/E1/004
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| Author |
Ugochukwu C. Okonkwo, Nnamdi Azikiwe University, Awka, Nigeria
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| Paper Title |
Insulation Potential of Rice Husk Ash Reinforced Calabash-Epoxy Composite for Vehicle Firewall Application
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| Subject Category |
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| Abstract |
The raw materials employed in this study were calabash powder (CP), rice husk ash (RHA) and epoxy resin with a hardener component called Liquid Vinyl Triethoxy Silane. The calabash fibre had been sourced from fresh calabash fruits which were collected from a local farm located at Ugbawka Community in Enugu State. The fruits were thoroughly cleaned, peeled and sliced into cylindrical pieces of approximate thickness of 2-3cm.About 5kg of sliced parts were evenly spread on trays and allowed to dry under ambient temperature for fourteen days. The dried fibres were pulverized with the aid of a laboratory scale hammer mill fitted with a 2mm sieve. This method determined a very close alignment of the actual and predicted values of the material properties of the composites. Also, results from the optimization process suggested that the best-fit model of the novel insulation composites would constitute 15% calabash fibre, 5% rice husk ash and 80% epoxy resin, with the resultant material density of 1.055g/cm3 , thermal conductivity of 0.151Wm-1K-1, thermal resistivity of 0.183Wm-1K-1 and material hardness value of 61.046 shores D. The statistical significance of the developed model and its reliability was reinforced through a regression analysis indicating a considerable agreement between the empirical values and expected results of optimization. Comparatively, the overall results of the optimization infer adequately that the new composite would be capable of navigating the design space successfully and would also be more suitable for light-weight applications as well as have a higher potential for thermal reduction than the pressed-steel insulators whose thermal conductivity and density have been found higher.
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| Keyword |
rice husk, calabash-epoxy composite, ash-reinforced
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| Paper ID |
IJIFR/V13/E1/003
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| Author |
Dr. N. Kavitha, Associate Professor and Head, PG & Research Department of History, Vellalar College for Women (Autonomous), Erode
Sandhiya. S, Ph. D Research Scholar, PG & Research Department of History, Vellalr College for Women (Autonomous), Erode
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| Paper Title |
KODUMANALS BEAD – MAKING INDUSTRY: TRACING ITS GLOBAL CONNECTIONS FROM TAMIL NADU, INDIA
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| Subject Category |
History
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| Abstract |
This paper examines the historical significance of Kodumanal, an archaeological site on the banks of the Noyyal River in western Kongunadu, Tamil Nadu, renowned for its bead-making industry. Kodumanal emerged as a major centre of lapidary production and international trade, exporting semi-precious stone beads such as beryl, lapis lazuli, carnelian, and quartz to distant regions spme two thousand years ago. Archaeological excavations reveal its industrial character, with evidence of complex manufacturing processes, specialized artisans, and extensive trade networks. Kodumanal’s strategic location near Karur, the Chera capital, and its links to the ports of Muziris and Kaveripoompattinam facilitated maritime exchanges with the Roman Empire, Sri Lanka, and Southeast Asia. The industry not only boosted regional prosperity but also reflected cultural interactions, as seen in Sangam literature and inscriptions that mention Yavana merchants. By combining archaeological, geographical, and literary sources, this study highlights Kodumanal’s role as a hub of ancient global trade and its contribution to the socio-economic and cultural development of early Tamil society.
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| Keyword |
Kodumanal, Bead Industry, Kongunadu, Roman Trade, Sangam Age
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| Paper ID |
IJIFR/V13/E1/002
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| Author |
GN Krishnan
A. P. Siva Kumar
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| Paper Title |
Text clustering using fuzzy logic based clustering in order to facilitate and improve effectiveness in a conventional hard clustering approach
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| Subject Category |
Computer Engineering
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| Abstract |
The clustering in data mining becomes very difficult because of very large datasets with many attributes of different types. This causes to have unique computational requirements on appropriate clustering algorithms. The main concern for most of clustering algorithms is their need to know the number of clusters for which to look. Since the clustering is an unsupervised way of grouping, the user has no previous knowledge about the actual number of clusters. Apparently, dividing the dataset into smaller or larger clusters will result in merging some separate clusters or breaking down some compact ones. The process of finding an optimal number of clusters is called cluster validity. In order to achieve the main aim of fuzzy k-means clustering, the drawbacks of traditional k-means clustering are studied. k-means clustering clusters the data in a crisp sense which results into empty clusters.
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| Keyword |
Fuzzy clustering, fuzzy partition, conventional hard clustering, Text clustering
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| Paper ID |
IJIFR/V13/E1/001
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| Author |
A Firdose, SRI SIDDHARTHA ACADEMY OF HIGHER EDUCATION
Jagadish K R, SRI SIDDHARTHA ACADEMY OF HIGHER EDUCATION
Gurunandan P H, SRI SIDDHARTHA ACADEMY OF HIGHER EDUCATION
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| Paper Title |
Reliable and timely fire emergency intervention to achieve sustainable cell tower antenna optimal performance
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| Subject Category |
Communication Engineering
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| Abstract |
Digital strategies have started gaining relevance in fire incident anticipation, when there is disorderliness in any system, a smart control system will automatically regulate the system structures to mitigate risk. Remote monitoring coupled with predictive control means that most break down can be anticipated, prevented, and reduce inherent or associated risk to as low as reasonably practicable. Data gathering on past event can be used to predict future recurrence. The author examines the various contributing factors of fire incident occurrence in cell tower antennae with emphases on improvement that can be driven through application of Machine learning and artificial intelligence technologies. The author begins with examining preventive and corrective maintenance widely used today in the telecommunication industry and proceeds to exploration of proactive cell tower antenna condition monitoring.
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| Keyword |
Corrective maintenance, Antenna, predictive model, cell tower, antenna condition
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