Open Access Research Article pp. 1–12

Handwriting – Based Behaviour Pattern Detection Using Convolutional Neural Networks

Dwarapu Daliya , Dr. Priyanka K Bhansali

10.64823/ijter.2505001 07 Sep 2025 768 Views 310 Downloads

Handwriting is not just a way of writing; it reflects how a person thinks, feels, and behaves. It acts as a brain imprint that shows each person’s unique personality. This research uses Convolutional Neural Networks (CNNs), a type of deep learning, to detect behaviour patterns automatically from han...

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Open Access Research Article pp. 13–22

Deep Convolutional Network Modeling for ECG Image Analysis in Cardiovascular Disease Detection

Pilla Divya , Dr. M. V. V. Siva Prasad

10.64823/ijter.2505002 09 Sep 2025 845 Views 269 Downloads

Cardiovascular diseases (CVDs) remain the foremost cause of global mortality, accounting for nearly one-third of deaths worldwide. Early detection of cardiac abnormalities is essential to reduce mortality and ensure timely treatment. Electrocardiograms (ECGs) are among the most widely used diagnos...

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Open Access Research Article pp. 23–32

A Secure Data Encoding Framework with AES-GCM Encryption and Compress AI-Based Learned Compression

Kurella Padma , Dr G.Sharmila Sujatha

10.64823/ijter.2505005 12 Sep 2025 772 Views 398 Downloads

The exponential growth of digital information exchange demands secure, efficient, and robust data encoding methods. This paper presents a unified data encoding framework integrating AES-GCM authenticated encryption with PBKDF2-based key derivation, Compress AI-driven learned compression, and a s...

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Open Access Research Article pp. 33–56

Comprehensive Cost Optimisation Strategies to Mitigate Tariff Impact

Dr. Nitin Prabhu Kulkarni , Dr Avinash S. Desai , Dr. Sandeep Tare

10.64823/ijter.2505004 12 Sep 2025 765 Views 392 Downloads

In an increasingly globalised economy, shifting trade dynamics and tariff structures pose significant challenges for businesses striving to remain competitive. This article explores comprehensive strategies for cost optimisation in response to tariff impacts across the value chain. It outlines pract...

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Open Access Research Article pp. 57–62

A Study on (, )-Level Subsets of Bipolar Valued -Fuzzy Subgroup

Dr. S. Sahaya Arockia Selvi , Dr.S. Vijayalakshmi , Dr.S. Geetha , A. Abirami

10.64823/ijter.2505003 12 Sep 2025 646 Views 227 Downloads

In this paper, we study on (, )-level subsets of Bipolar valued -fuzzy subgroup and prove some results on these.

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Open Access Research Article pp. 63–71

Green-Synthesized Silver Nanoparticles for Photocatalytic Degradation of Organic Dyes: A Comprehensive Review

Dr. Herendra Kumar , Harsh Chhangani

10.64823/ijter.2505006 14 Sep 2025 792 Views 355 Downloads

Silver nanoparticles (AgNPs) have received a lot of interest for their several applications, including their remarkable potential as photocatalysts for organic dye degradation. This review explores the photocatalytic capabilities of silver nanoparticles (AgNPs)—specifically those synthesized via gre...

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Open Access Research Article pp. 72–77

Cultural Acceptance and Challenges of plant based diets

Lavi Devi

10.64823/ijter.2505007 17 Sep 2025 755 Views 386 Downloads

The global shift towards plant based diets,driven by health, environmental, and ethical considerations, encounters significant cultural challenges. This paper explores how traditional food practices , cultural identities, and societal norms influence the acceptance and adoption of plant based diets....

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Open Access Research Article pp. 78–98

Determination of The Level of Knowledge of Students Studying in The First and Emergency Aid Program About Cancer Screening

ILKNUR YUCEL , Nadiye CAMCI

10.64823/ijter.2505008 19 Sep 2025 963 Views 296 Downloads

Cancer screening is a crucial public health intervention aimed at early detection and reducing mortality. Health professionals, especially First and Emergency Aid students, play a vital role in promoting awareness and guiding individuals on screening. Understanding their knowledge level is important...

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Open Access Research Article pp. 99–106

Investigation of Hybrid Multilevel Inverter Performance via FFT Analysis Implemented in Simulation

Jitendra M Shah , Harikrushna B Rathod

10.64823/ijter.2505010 19 Sep 2025 817 Views 287 Downloads

This paper presents a comparative study of various hybrid multilevel inverter (HMLI) configurations with respect to their output voltage levels and overall performance. The focus is on harmonic elimination in HMLIs to reduce the total harmonic distortion (THD) of the voltage applied to the load, the...

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Open Access Research Article pp. 107–111

Intelligent Prediction of Cancer Diseases through Machine Learning

Veeramuthu P , Rajesh D

10.64823/ijter.2505009 19 Sep 2025 631 Views 272 Downloads

Cancer remains one of the leading causes of mortality worldwide, and timely diagnosis plays a critical role in improving patient survival rates. Traditional diagnostic methods often face challenges such as complexity, cost, and human error, necessitating the development of intelligent computational...

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Open Access Research Article pp. 112–124

Channel Estimation and Pilot Contamination in Massive MIMO: Challenges, Trends, and Emerging Solutions

Harikrushna B Rathod , Jitendra M Shah

10.64823/ijter.2505011 19 Sep 2025 1,054 Views 533 Downloads

Massive multiple input multiple output (MIMO) is an important technology to 5G and beyond wireless communication systems because it is capable of improving the spectral efficiency, energy efficiency, and link reliability. However, precise channel state information (CSI) acquisition is a key requirem...

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Open Access Research Article pp. 120–127

Bone Fracture Detection in X-ray images using Convolutional Neural Networks

Pilla Sanjana , Dr. M. Ramjee

10.64823/ijter.2505013 19 Sep 2025 814 Views 284 Downloads

Bone fractures are a prevalent form of musculoskeletal injury that require timely and accurate diagnosis for effective treatment. Radiographic imaging, particularly X-ray analysis, remains the primary diagnostic tool. However, manual interpretation by radiologists is subject to human error, fatigue,...

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Open Access Research Article pp. 128–136

Automated Lung Cancer Diagnosis using Convolutional Neural Networks

Gullipalli Rohitha Sagar , P. Swathi , Prof. K. Venkata Rao

10.64823/ijter.2505012 19 Sep 2025 694 Views 282 Downloads

Lung cancer is a leading cause of cancer-related mortality worldwide, and early detection is essential for improving patient outcomes. Traditional diagnostic methods rely heavily on radiologists interpreting chest CT scans, a process that is time-consuming and subject to inter-observer variability k...

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Open Access Research Article pp. 136–143

COOPERATIVE FEDERALISM IN INDIA: ASSESSING THE ROLE OF INTERGOVERNMENTAL INSTITUTIONS IN POLICY IMPLEMENTATION AND FISCAL FEDERALISM

Krishna Panda

10.64823/ijter.2505014 21 Sep 2025 720 Views 569 Downloads

ABSTRACT Instead of being mutually exclusive, strong states and a strong centre are dependent on one another. Powerful centres could not exist without strong states, and vice versa. State-centre cooperation is facilitated by the Indian Federation. Disparities in race, religion, and culture undoubte...

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Open Access Research Article pp. 145–155

Gen Z in the Omnichannel Era: Rethinking Consumer Behavior for Sustainable Business Success

Shikha Goel , Pankaj Madan

10.64823/ijter.2505015 29 Sep 2025 1,374 Views 3,524 Downloads

The emergence of the new generation of consumers (born 1997-2012) has transformed the principles of consumer behavior in the world, as the world has switched to the sphere of a digitally native and socially aware generation. Gen Z is projected to transform the concept of retail, marketing, and brand...

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Open Access Research Article pp. 156–168

Assessing the Impact of Blockchain Technology on Accounting Transparency and Audit Effectiveness

Shiv Shankar Mishra¹ , Pradnya Suhas Wathare²

¹ James Hardie, Cumming, Georgia ² Tata Consultancy Services (India), Pune

10.64823/ijter.2505016 28 Sep 2025 15 Views 6 Downloads

The recent and rapid rise of Artificial Intelligence (AI) and Machine Learning (ML) is affecting the sphere of auditing and financial reporting due to its potential to contribute to introducing a better accuracy level, effectiveness, and level of analysis. This study analyses the possibilities and t...

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