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Brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation
A brain tumor is an unusual and excessive growth of brain cells, which can be cancerous (malignant) or noncancerous (benign). These growths can be risky as they press on healthy brain tissue or expand in the brain. Detecting brain tumors early is tough for radiologists. A typical brain tumor can double in size in just 25days, and without the right treatment, patients often have limited chances of survival, about six months. Initial symptoms can be confused with other illnesses, and brain cancer is difficult to diagnose because of the complex nature of the brain and tumor locations. In this study, we propose a strategy where we first sort medical images based on the presence of a brain tumor. Then, we pinpoint the part of the image containing the tumor through segmentation. We use a combined model of MobileNet-V3 and EfficientNetV2 for image classification. To segment the tumor in the image, we use a fast marching method. The combined model's classification accuracy is 98%, and the segmentation accuracy is 99.6%. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Brain Tumor Prediction Using CNN Architecture and Augmentation Techniques: Analytical Results
The brain, a complex organ central to human functioning, is susceptible to the development of abnormal cell growth leading to a condition known as brain cancer. This devastating disease poses unique challenges due to the intricate nature of brain tissue, making accurate and timely diagnosis critical for effective treatment. This research explores automated brain tumor prediction through Convolutional Neural Networks (CNNs) and augmentation techniques. Utilizing a task reused learning approach with the help of VGG-16, Mobile-Net and Xception architecture, the proposed model achieves exceptional accuracy (99.54%, 99.72%) and robust metrics. This Research explores the Augmentation techniques to enhance the precision and accuracy of the model used. The study surveys related models, emphasizing advancements in automated brain tumor classification. Results demonstrate the efficacy of the model, showcasing its potential for real-world applications in medical image analysis. Future directions involve dataset expansion, alternative architectures, and incorporating explanation techniques. This research contributes to the evolving landscape of artificial intelligence in healthcare, offering a promising avenue for accurate and efficient brain tumor diagnosis. 2024 IEEE. -
Brain tumor segmentation and detection using MRI images
Brain tumor is caused due to the increased abnormal in brain. It is not something that we might say is limited to aged people alone, but is known to affect newborn babies as well. It affects many people worldwide. With the applications of Machine Learning (ML) and Image Processing (IP), the early detection of brain tumor is possible. In this research work, the different stages in image processing which help to detect brain tumor, is addressed vividly. This work provides information about the various sets of filtering and segmentation methods which can be used to detect whether it is brain tumor or not. All of the filtering methods are defined in image preprocessing techniques. The next procedure is to apply segmentation methods namely watershed segmentation and gray level threshold segmentation. After this, certain features are considered for feature extraction such as area, major axis, minor axis and eccentricity. According to the outcomes from the feature extraction technique, the classification of the tumor is done. In this paper, we achieve an accuracy of 92.35 by using K-Nearest Neighbor (KNN) algorithm. IAEME Publication. -
Brain-based learning method: Opportunities and challenges
The chapter examines the concept of brain-based learning to bridge the gap between neuropsychology and education while understanding the best way to use our brain for meaningful learning. It suggests learning as a developmental process that enhances in a challenging but less threatening environment. Brain plasticity suggests that repeated exposure to a stimulus in a conducive environment helps in better recall and retrieval, as the repeated exposure allows the formation of new neural connections and strengthening the old ones while engaging in the task. As the application of brain-based learning moves away from the traditional style of learning, it focuses on a more holistic understanding of the process of learning. The chapter talks about applying a brain-based learning model to enhance learning in a stimulating surrounding to explore and stimulate various sense organs and further enhance neural connections. It discusses strategies to incorporate to allow engagement of sensory organs and problem-solve to enhance learning. Another perspective suggests attaching emotion to a situation which leads to forming a meaningful association in our brain. Depending on the strength of this connection, it becomes easier to recall and retrieve the memory. When compared to the traditional style of teaching, brain-based learning has shown to better academic accomplishment. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
Brain-friendly approach to work environment and its motivational influence on ambidexterity and engagement of faculty in higher education
Purpose: As the higher education landscape continues to evolve, educational managers need to be adaptable and embrace versatility and interactivity in their management methods. The research investigates the interplay between brain-friendly work environment, motivation, ambidexterity and engagement among higher education faculty. Design/methodology/approach: This research investigates the relationships and mechanisms among various variables in higher education using a quantitative approach. Data were collected through surveys administered to educators in South India, focusing on their perceptions of brain-friendly work environments, motivation, ambidexterity and engagement. The questionnaire employed established standard scales, and a thorough analysis was conducted on the 437 responses received. Findings: The study establishes the significance of creating environments conducive to brain functioning, leading to the development of motivated, ambidextrous and engaged educators. Research limitations/implications: The study paves the way for experimental research, which can add rigour to the current findings. Additionally, other factors beyond the SCARF dimensions which can promote ambidexterity and engagement can be explored in future research. The findings of the study can be applied and tested in other organisational settings. Practical implications: A brain-friendly experience will function as a powerful motivational tool that enhances the productivity of faculty in the higher education sector. The insights of the study will help educational leaders in designing a productive work environment and governments in making policies which help to improve the quality of the higher education sector. Social implications: The quality and contributions of faculty members in the higher education sector are crucial for shaping society. This research contributes to the knowledge of creating motivated, ambidextrous and engaged faculty who can mould the future in todays competitive society. Originality/value: The concept of a workplace that prioritizes cognitive well-being is becoming increasingly relevant in education. Research results contribute significantly to existing knowledge and highlight the importance of creating an environment that supports optimal brain function, leading to enhanced employee performance. These findings offer valuable insights for educational leaders and policymakers seeking to improve working conditions. 2025, Emerald Publishing Limited. -
Brand activism and millennials: An empirical investigation into the perception of millennials towards brand activism
The reckless pursuit of social, environmental, political and cultural issues and brands may alienate the very customer base, whom they try to impress, especially the millennials. Hence, this study intends to study the perceptions of millennials towards brand activism, so that the findings from the study can help the brand managers to steer their brands into the troubled waters of brand activism. The methodology followed is HTAB (Hypothesize, Test, Action, Business), a popular analysis framework given by Ken Black in his book titled "Business Statistics: Contemporary Decision Making (6th ed.)" A sample comprising of 286 respondents was collected. The final data had 286 observations and 45 features across seven categories. It was found that millennials prefer to buy a brand if it supports a cause or purpose and they stop buying if brand behaves unethically. It was also observed that there is no gender difference amongst the millennials towards their perceptions concerning brand activism. Moreover, millennials across different income categories have similar perceptions of brand activism. It was also substantiated that the emotional tie of the millennials with the brand existing for a cause goes beyond price shifts and brands taking a political stance, cherry-picking of issues and being disruptive prompts and creates profound backlash for the brands. Shivakanth Shetty, Nagendra Belavadi Venkataramaiah, Kerena Anand, 2019. -
Brand activism and millennials: an empirical investigation into the perception of millennials towards brand activism /
Problems And Prespectives In Management, Vol.17, Issue 4, pp.163-175, ISSN No: 1727-7051.
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Brand anthropomorphisms impact on real estate purchase decisions of young buyers in India and the underlying reliance on spatial memory
Purpose: Assessing anthropomorphic tendency in relation to real estate purchase decisions and analysing the elements of friendliness, aggressiveness, pleasure and arousal as a link to the spatial memory of the consumer. This study aims to help brands and advertisers in the real estate industry to create meaningful consumer relationships by using elements that are associated with positive spatial experience. By formulating a detailed questionnaire with adapted variables from proven research and a multilayered approach of theoretic and practical analysis, this paper situates the identified variables in the plane of space and customer experience. Design/methodology/approach: By using structural equation modeling, this study analyses a sample data of 411 consumers and their response to elements of housing. Findings: The findings of this study showed that variables of friendliness, aggressiveness, pleasure and arousal significantly impact consumers real estate purchase decision; however, anthropomorphic tendency does not have a significant impact. Through theoretical analysis, it was found that spatial memory may have a role in the visual and display of the variables. Originality/value: The merit of this paper lies in the discussion it has raised with regard to the intersection between theoretics of space and the chosen variables. In the field of business and management, often philosophical implications of spatiality may not be actively associated with numerical computation. This paper not only looks at brand anthropomorphisms impact on real estate purchase decisions but also looks at friendliness and other mentioned variables as significantly impacting purchase decisions and linked to memory, space and affiliation. 2023, Emerald Publishing Limited. -
Brand awareness of 'generation y' customers towards doughnut retail outlets in India
The Research is all about knowing the customers acquiring top of mind recall about doughnut retail outlets in Bangalore city, India through various methods. Once the brand is established in the minds of the consumers, it occupies a unique position and special meaning and value is generated. Brand awareness is the consumer's conscious or unconscious decision, expressed through intention or behavior, to repurchase a brand continually. In order to create brand loyalty, advertisers must break consumer habits, help them to acquire new habits and reinforce those habits by reminding consumers of their purchase and encourage them to continue purchasing those products in the future. 'Generation Y' refers to customers millennial, the generation of people born during the 1980s and early 2000s. 'Generation Y' consumer's access social media on daily basis but they often ignore advertisements that are targeted to them. The previous research works on' Generation Y' customers emphasize that marketers must focus on social media marketing to draw the attention of these customers. Determining the brand awareness of 'Generation Y' customers was considered, in order to know the present level of awareness about the doughnut brands, increase the customer traffic and sales as 'Generation Y' customers are the target customers for doughnut retail outlets. -
Brand awareness of 'generation y' customers towards doughnut retail outlets in India /
The Journal Of Business And Retail Management Research, Vol.11, Issue 4, pp.108-113, ISSN: 2056-6271 (Online) 1751-8202 (Print). -
Brand equity management and marketing in the digital era: Strategies for phygital success
The digital revolution has transformed how brands interact with consumers, creating new opportunities and challenges for brand equity management. In the era of convergence between the physical and digital realms, commonly referred to as the "Phygital Era," brands must navigate a complex landscape to build and sustain their value. This chapter explores strategies for managing brand equity in the digital age, focusing on how brands can create cohesive, engaging, and personalized experiences that seamlessly bridge physical and digital touchpoints. It discusses the importance of omnichannel marketing, data-driven decision-making, and the role of social media and online communities in shaping consumer perceptions. Additionally, the chapter examines how digital transformation impacts brand loyalty, customer engagement, and the evolving expectations of consumers. By understanding the interplay between digital innovation and traditional brand-building practices, businesses can successfully position themselves for long-term growth and success in a rapidly evolving market. 2025, IGI Global Scientific Publishing. -
Brand Identity and Image Management in Peer-to-Peer Platforms: Navigating Crisis in Digital Environments
The peer-to-peer economy is experiencing remarkable growth in a short span of time, showcasing a wide variety of platforms, dynamic business models and transactions. It is essential to gain a thorough understanding of how these platforms maintain brand image and their identity in this digital age. Despite the importance of the concept, and the rapid need to know how brand image is co-created in peer-to-peer platforms, literature lacks a theoretical understanding of the concept. This book chapter develops a brand image conceptualization and how platforms as a company, service providers and consumers play a crucial role in creating and maintaining brand image. This study will decisively examine how brand image is created, communicated and protected by stakeholders in these technology-driven environments. Also, the chapter emphasizes that effectively managing brand image in P2P environments requires a comprehensive approach. This approach should integrate technological solutions, safety protocols, and a deep understanding of the dynamic interactions among all the stakeholders. Copyright 2026, IGI Global Scientific Publishing. -
Brand Love for Sports Apparels Among Indians: A Triangular Theory of Love Perspective
This study aims to evaluate the concept of brand love among the Indians in sports apparel industry. Drawing on Sternbergs (1986) triangular theory of love, we propose a three-dimensional brand love model. We further discuss the interrelationship between these variables and provide a theoretical model for explaining the concept using sports apparels. Then, this theoretical model is tested using empirical research undertaken among 327 respondents. These exploratory results indicated that the concept of brand love in India is similar to that of interpersonal love, contradicting the earlier finding in the field of brand love. These contradicting findings were attributed to the cultural differences between Eastern and Western cultures, especially in the field of extended self (Markus & Kitayama, 1991). These findings create the possibility for future research into brand love via the triangular theory of love to understand how the changes in the perceptions of self influence the brand love. 2022 Management Development Institute. -
Brand Loyalty Drivers among Generation Z Fashion Consumers: A Comparative Analysis
Brand loyalty is crucial in the competitive fashion market, particularly among Generation Z. Although previous studies have investigated what drives loyalty, there is still limited evidence from India, particularly about gender differences. This study adopts a context-specific and exploratory approach to examine brand loyalty and its drivers among Generation Z fashion consumers in Bangalore. The study adopts a quantitative research design with a structured questionnaire using a 5-point Likert scale. A sample of 100 Generation Z students in Bangalore was selected using convenience sampling to collect the data. Further descriptive and inferential statistical analyses were conducted using SPSS. The findings show positive associations among brand loyalty, brand awareness, perceived quality, emotional connection, and social influence. Independent-samples t-tests reveal no significant difference in overall brand loyalty between male and female respondents. However, regression analyses indicate that perceived quality and brand awareness are relatively stronger predictors of brand loyalty among male respondents. In contrast, emotional connection is a stronger predictor among female respondents. These findings suggest differences in motivational pathways rather than loyalty intensity. The study suggests that while overall brand loyalty levels are similar across genders, the motivational drivers underlying loyalty differ. These findings are context-specific and exploratory, and their generalizability is limited by convenience sampling and a restricted geographic scope. 2026 Journal of Computers, Mechanical and Management. -
Brand protection in Indias digital economy: trademarks vs. competition regulation
The digital economy in India has significantly impacted brand protection, with the need for robust trademark protection intensifying to combat issues like counterfeiting, cybersquatting, and unauthorised use. Competition regulation aims to ensure fair market practices, prevent monopolistic behaviour, and foster innovation. This study examines the legislative and judicial framework governing trademarks in India, highlighting key provisions under the Trade Marks Act, of 1999, and their application in the digital context. It also assesses the role of the Competition Commission of India (CCI) in addressing anti-competitive practices. The study identifies tensions and synergies between trademark protection and competition regulation, examining how digital platforms, e-commerce, and social media influence these legal domains. Comparing the study with jurisdictions like the EU and the USA, the paper proposes a balanced approach that harmonises trademark enforcement with competition law principles to ensure brand protection efforts do not stifle competition and innovation in Indias burgeoning digital economy. Recommendations include policy reforms, enhanced cooperation between regulatory bodies, and the adoption of technology-driven solutions to safeguard brands while promoting a competitive and fair digital marketplace. Copyright 2025 Inderscience Enterprises Ltd. -
Brand together: How co-creation generates innovation and re-energizes brands /
Vels Management Journal, Vol-1 (2), pp. 98-100. ISBN-978-0-7494-6325-0 -
Brand Value: Nexus with Profitability and Value Relevance Indian Evidence
The paper studied the association between brand value and financial profitability metrics, value relevance, and excess market returns. The study used the dollar value data of BrandZ Top Indian Brands as the proxy for brand value and used 221 firm years for a sample of 72 companies that owned the top brands for 5 years, from 2014 2018. The study deployed the fixed effects model to find the association between profitability, firm value, and brand value and the Fama French four-factor model for the risk-return performance of high-brand value stocks. The findings indicated a strong association between the brand values of firms and profitability and firm value. The portfolio returns of high-brand value companies produced higher risk-adjusted returns over market returns offered by BSE 100 stocks. This is Indias first and most comprehensive study to provide empirical evidence on the nexus between brand value, profitability, and value relevance. The results gave a concrete conclusion that building brand value offers both customer satisfaction as well as shareholder value creation. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Breaking down the barrier: exploring queer young adults experience with counselling
This study explores the impact of counselling on the mental health of queer young adults in India. The research uses qualitative methods, including semi-structured interviews, to understand how counselling impacts their identities and well-being. The study involved 12 participants aged 1825, representing diverse genders and sexual orientations across different regions of India. Thematic analysis revealed three main themes: Queer Identity: Recognized, Misrecognized, and Negotiated in Therapy, Queer recommendations for inclusive care, and Empowering queer mental health journey. Each main theme revealed three sub-themes. The study emphasises the importance of therapists competence, empathy, and affirmative practices in creating a supportive therapeutic environment for queer young adults. The participant narratives highlight the complex character of the therapeutic process, going beyond professional interventions to include concepts like belonging, empowerment, and validation. 2026 College of Sexual and Relationship Therapists. -
Breaking down Vicarious Trauma: Supporting Trauma Workers Who Work among Survivors of Sex Trafficking in India
Trauma workers who work at the grassroots levels of sex trafficking rehabilitation are face to face with the survivors struggle. Their roles are essential to lay the foundations of recovery and reintegration for the survivors. This article focuses on what vicarious trauma means and how acknowledging its presence as an occupational hazard will help shape organization policies and structures in a way that empowers trauma workers to continue to bring quality work from an intentional, supported, and grounded space. 2025 Indian Journal of Social Psychiatry. -
Breaking News Recognition Using OCR
Identifying and recognition of breaking news in most of the TV channels in different backgrounds with varying positions from a static image plays a significant role in journalism and multimedia image processing. Now a days its very challenging to isolate only breaking news from headlines due to overlapping of many categories of news, keeping all this in mind, a novel methodology is proposed in this paper for detecting specific text as a breaking news from a given multimedia image. Basic digital image processing techniques are used to detect text from the images. The methods like MSER (Maximally Stable Extremal Regions) and SWT (Stroke Width Transform) are used for text detection. The proposed work focuses on extraction of text in breaking news images also discusses the different methods to overcome existing challenges in text detection along with different types of breaking news datasets collected from various news channels are used to identify text from images and comparative study of different text detection methods. The comparative study proves that MSER and SWT is a better technique to detect text in images. Finally using OCR (Optical Character Recognition) technique to extract the breaking news text from the detected regions will help in easy indexing and analysis for journalism and common people. Extensive experiments are carried out to demonstrate the effectiveness of the proposed approach. 2019, Springer Nature Singapore Pte Ltd.