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Implementing Innovative Weed Detection Techniques for Environmental Sustainability
Agriculture, supporting over half of India's population, grapples with the challenge of weed control. Current methods applied in plantation crops lack efficiency and pose environmental and health risks. This paper advocates a paradigm shift, emphasizing the critical need for effective weed detection using cluttered unmanned aerial vehicle (UAV) images. The research methodology integrates image processing, Mask R-Convolutional Neural Networks (R-CNN), and Internet of Things (IoT). A dataset of 200 UAV images was subjected to a thorough preprocessing. In the initial phase, weeds and crops were identified with precision employing an UAV-tailored Mask R-CNN with instance segmentation. This was found to surpass traditional methods in terms of communication between the model and the agricultural environment. For timely decision-making, real-time data were collected using IoT. Average Precision (AP) values reveal high accuracy, notably 89.1% for weeds, 88.9% for crops, and an overall precision of 89.4%. The Mask R-CNN network segments and classifies images, marking weed zones communicated to farmers via Raspberry Pi with a GSM module, enabling real-time alerts and informed decision-making for efficient weed control. This holistic approach, providing object classifications, detailed bounding boxes, and masks, addresses weed control challenges, highlighting the transformative potential of advanced technologies in agriculture. 2024, Institute for Environmental Nanotechnology. All rights reserved. -
Implementing learner-centric approaches in high-density classrooms: A TEAMS-aligned hybrid model for management education
Learner-Centric Approaches (LCAs) are increasingly used in higher education to enhance engagement, critical thinking, and deeper learning. This chapter examines LCAs in a Bachelor of Business Administration (BBA) program at a large institution with class sizes of 80 students. To address challenges in personalized education, the program employs a hybrid model: large lectures for theory and smaller tutorial groups of 40 students for interactive LCAs. This approach balances personalized learning with logistical demands. The chapter evaluates the model's effectiveness through student outcomes, faculty adaptability, and engagement, while examining scalability and alignment with the TEAMS framework-Transparency, Empowerment, Attainability, Mentorship, and Sustainability. It offers practical insights for implementing scalable, learner-focused strategies in high-density classrooms. 2026, IGI Global Scientific Publishing. All rights reserved. -
Implementing learning analytics in educational systems to effectively integrate and cater to different learning styles
This research deals with developing an educational system that will contain advanced learning analytics and technologies such as virtual reality (VR), augmented reality (AR), among others, to ensure learning styles are well catered for, including auditory, visual, kinesthetic, and digital. With personalized education at an increased height in this present dispensation, the study delves into how educational frameworks can be leveraged to support individualized learning preferences, which would in turn optimize student performance by applying tailored instructional methods. By combining LMS data with educator and student voices, the report shows how these adaptive technologies have a significantly positive impact on engagement and academic performance. It also considers affordability, scalability, data privacy, and training challenges to focus on holistic implementation at the institutional level. It is imperative that the students in higher education benefit from customized, technology-based learning environments oriented towards their personalized needs. 2025, IGI Global Scientific Publishing. -
Implementing Machine Learning for Early Detection and Prognostic Modeling of Chronic Diseases
The employ of deep learning methods for the diagnosis and prognosis model of chronic diseases is an important discovery to change the healthcare service. Some of the chronic diseases which prevalence and incidence rates remain high globally include diabetes, cardiovascular diseases, chronic kidney diseases, and cancers. There is nothing more critical than early diagnosis and accurate prediction of the patients' condition and the best course of action that has to be taken. This paper aims at examining the possibility of utilizing ANN, Random Forest, XGBoost, and CNN to forecast the occurrence of the. Due to integration of big and varied data which involve clinical characteristics, biochemical parameters and medical images among others, ML models have the ability recognize complex relations not easily recognizable by conventional diagnostic procedures. These illustrations prove that deep learning models or more specifically the convolutional neural networks for image diagnosis outperform other traditional methods in performance and prognosis. Nevertheless, some issues, such as data quality, model's interpretability, and its implementation into clinical practice, are still present. The challenges appeared in this paper are key to understanding the future of ML in healthcare as they can pave the way to the integration of such models into practice, therefore leading to early detection, better prognosis, and effective management of chronic diseases. This paper aims at exploring on how ML can be of significance in transformation of the health care sector and orderly improve patients care. 2025 IEEE. -
Implementing privacy and data confidentiality within the framework of the Internet of Things
Throughout the current and future worldwide Web network infrastructure, the notion of the Internet of Things (IoT) foresees the pervasive interconnection and cooperation of intelligent things. As such, the IoT is simply the next logical step in the expansion of the Web into the real world, ushering in a plethora of unique services that will enhance peoples lives, give rise to entirely new economic sectors and smarten up the physical infrastructure upon which we rely, including buildings, cities and transportation networks. As smart devices permit widespread information collection or tracking, the IoT will not be able to reach its full potential if the vision for the IoT is not implemented appropriately. These helpful characteristics are countered by concerns over confidentiality, which have, to date, hindered the viability of IoT aspirations. In the face of widespread surveillance, the management of private information and the development of tools to limit or evade pervasive monitoring and analysis are two examples of the new difficulties brought about by such dangers. This paper considers the privacy concerns raised by the Internet of Things in depth. Henry Stewart Publications 2398-1679 (2023). -
Implementing Quality Healthcare Strategies for Improving Service Delivery at Private Hospitals in India
Healthcare is becoming the largest growing sector of India because of its huge coverage, providing services and investment by public and private players. In India growth of private hospitals have totally changed the scenario of health care delivery. This study explores the effectiveness of the strategies to provide quality health care and thereby improving the service delivery in Private Hospitals. In total 122 responses were collected after administering the questionnaires. The findings of this study reveals that quality health care strategies has positive impact on service delivery. Quality health care strategies showed a different kind of associations with three measures of quality namely structure, process and outcome measures. The implications from the study provides the need of multifaceted approach for implementing quality improvement strategies and adoption of the model for the same. This study recommends a blend of quality improvement programs with increased ICT (Information and Communication Technology) applications for enhancing the turnaround time. Further study can be conducted on other healthcare quality dimensions and strategic interventions that can enhance the quality of health care and clinical outcomes in Private Hospitals in India. 2017 Indian Institute of Health Management Research. -
Implementing quality healthcare strategies for improving service delivery at private hospitals in India /
Journal of Health Management, ISSN No. 0972-0634. -
Implementing smart cyber-physical systems in industrial and urban applications: A practical approach
World urbanization, at an accelerated rate, leads to a growing need for innovative cities that consider advances in AI and cyber-physical systems (CPS). A smart city is a development of a traditional environment of an urban setting, enhancing it with information and communication technology (ICT) and CPS to improve the quality of life, sustainability, and efficiency of the inhabitants. This chapter will cover the major constituents, challenges, and opportunities associated with the development of smart cities from the historically congested and ad hoc planned cities. A smart city connects a digitally empowered environment through sensors, processors, and communication systems integrated into urban infrastructures, allowing continuous monitoring of public health, mobility, energy consumption, and so on. The combination of AI and data analytics with smart city technologies will help optimize services in cities, reduce environmental effects, and accelerate socioeconomic development and decision-making. Improvement to cities is still a debatable issue, and there are additional obstacles to be overcome, such as infrastructural inadequacy, budgetary constraints, and technical issues. Realization of the full potential of smart cities will occur through successful resolution of the aforementioned issues. All the issues of this chapter can be addressed by adopting a multidisciplinary approach emphasizing sustainable designs, publicprivate sector partnerships, and regulatory frameworks. If ignored, such problems will definitely lead to adverse effects on implementation, an increase in socioeconomic inequality, and damage to the environment. This chapter relies on the secondary methodology of research and assimilates knowledge from journal articles, literature, and earlier research regarding smart cities, CPS, and AI applications. It defines current trends, recognizes long-standing problems, and suggests ways to bridge them, along with some directions for future research. This will help in understanding the ability of AI to make smart city adaptation strong concerning population growth, health crises, and climate change. It will also strengthen and connect the urban landscape of the future. Thus, by solving these problems and their consequent impacts, smart cities can totally transform urban life. 2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors. -
Implementing strategic responses in the COVID-19 market crisis: a study of small and medium enterprises (SMEs) in India
Purpose: The COVID-19 pandemic presents unprecedented challenges for small and medium enterprises (SMEs) in emerging economies. This paper aims to examine how India's SMEs implement their strategic responses in this crisis. Design/methodology/approach: The study uses dynamic capability theory to explore the strategic responses of SMEs. Strategy implementation theory helps to explain how they implement innovative practices for outcomes. A research model defines the COVID-19 challenges, strategic responses and performance outcomes. The study reports the findings of an initial pilot study of 75 firms and follow-up case study results in the context of COVID-19. Findings: Firms choose their approaches according to their perceived market risks. Case studies illustrate that firms display diverse attitudes depending on their strategic direction, leadership vision and organizational culture. They achieve different outcomes by implementing specific styles of risk management practices (e.g. risk-averting, risk-taking and risk-thriving). Research limitations/implications: Although the study context is Indian SMEs, the findings suggest meaningful lessons for other emerging economies in similar crisis events. The propositions may be extended to future research in broad contexts. Practical implications: Even in the extraordinary COVID-19 market crisis, SMEs with limited resources display their strategic potential by recognizing their unique capabilities, translating them into effective actions and achieving desirable outcomes. Social implications: In the COVID-19 pandemic, top leaders' mental attitude, strategic perspective and routine practices are contagious. Positive leadership motivates both internal and external stakeholders with an enormous level of collaboration. Originality/value: This rare study of Indian SMEs provides a theoretical framework for designing a pilot survey and conducting a case study of multiple firms. Based on these findings, testable propositions are articulated for future research in diverse organizational and national contexts. 2021, Emerald Publishing Limited. -
Implementing the Happy Wisdom Framework in Modern Workplaces: Nurturing Joyful Insights
Happiness in the form of pleasant moods and emotions, well- being, and positive attitudes has been attracting increasing attention throughout psychology research. This chapter introduces the happy wisdom framework, an integrative approach designed to nurture joyful insights and address the multifaceted challenges of modern workplaces. By combining the principles of wisdom and happiness, the authors propose a comprehensive strategy for enhancing individual well- being, team dynamics, and organizational culture. The framework builds on established conceptualizations of wisdom and happiness, drawing from extensive theoretical and empirical research. It identifies key workplace issues at different levels, including individual stress and lack of meaning, team incivility and abusive supervision, and organizational deficits in ethical, social, and environmental responsibility. The chapter concludes by presenting practical insights and recommendations for integrating the happy wisdom framework into workplace practices that benefit employees and organizations alike. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Implication of big data in hospitality with special reference to ecoresorts in Karnataka
Big data with its velocity has revolutionized several industries, and the hospitality industry is no exception. Operational efficiency and services of ecoresorts can always be improved with customer reviews, and big data provide unprecedented opportunities toimplement it. Socialmedia has alwaysbeen instrumental in capturing customer feedback and understanding booking patterns. On this note, it has been aimed to understand the visitors' sentiment and to identify satisfactory indicators for this business. In this scholarly work, Tripadvisor website has been adopted as the collection platform. A total of 15 resorts with 7,235 reviews have been considered for the same. It has been intended to capture up-to-date data available till April 2024. The five-stage model has been considered for the smooth execution of the analysis which includesweb scraping for data extraction, data pre-processing, data storage, sentiment analysis, and understanding key insights. More specifically, with the help of Natural Language Processing (NLP), text analytics was executed to understand customers' sentiments. In total,150 high-frequencywords have been captured.The outcome of the study also revealed nine satisfactory indicators and those are "Variety of Experiences"; "Quality of Accommodation"; "Quality of Food"; "Cleanliness of the Resort"; "Level of Service by Staff"; "Service Staff were Helpful"; "Natural Environment of the Resort"; "Safety and Security;" and "Good Opportunities to enjoy local Cuisine". 2025 Shivi Khanna, Tulasi B., Nagarjuna G. and Bidisha Sarkar. All rights reserved. -
Implication of emotional labor, cognitive flexibility, and relational energy among cabin crew: A review
The primary aim of the civil aviation industry is to provide a secured and comfortable service to their customers and clients. This review concentrates on the cabin crew members, who are the frontline employees of the aviation industry and are salaried to smile. The objective of this review article is to analyze the variables of emotional labor, cognitive flexibility, and relational energy using the biopsychosocial model and identify organizational implications among cabin crew. Online databases such as EBSCOhost, JSTOR, Springerlink, and PubMed were used to gather articles for the review. The authors analyzed 17 articles from 2001 to 2016 and presented a comprehensive review. The review presented an integrative approach and suggested a hypothetical model that can prove to be a signitficant contribution to the avaition industry in particular and to research findings of aviation psychology. 2018 Indian Journal of Occupational and Environmental Medicine | Published by Wolters Kluwer-Medknow. -
IMPLICATIONS OF ALLOWING FDI IN INDIAN MULTI- BRAND RETAIL
The retail industry in India has often been hailed as one of the sunrise sectors in the economy.The Indian government is mulling about allowing FDI in multi- brand retailing. While some people welcome this move, others oppose it. The study tries to identify the opinion of retailers towards this move. The study examines the issues related to various aspects of FDI including, product related, place related, process related, promotion related, people related, price related issues, physical evidence and environmental related issues. Survey research method was followed in this study. Questionnaire was used for collecting primary data. Secondary data is collected from selective sources of data like journals, websites, text books, company brochures, magazines and newspapers. The convenience sampling technique was used. A sample of 200 retailers was selected from the Bangalore city. The statistical techniques which are used in the study include descriptive statistics, frequencies and percentages, reliability test, chi- square test, one- way ANOVA, two- way ANOVA and Correlation. The following were the hypotheses in the study: H1 ?? Agreement on FDI in retail is dependent on the duration of business among the retailers H2 ?? Agreement on FDI in retail is dependent on the level of investment among the retailers H3 ?? There is statistically significant difference on perception on agreement of FDI in retail by various levels of agreed and non- agreed retailers H4 ?? There is statistically significant difference on perception on agreement of FDI in retail by various levels of investments of business among retailers H5 ?? There is statistically significant influence on perception on agreement of FDI in retail based on both agreed level and level of investments H6 ?? There is statistically significant relations among the perceived factors of agreement on FDI in retail among retailers. The major findings of the study was that there is a mixed reaction among the retailerstowards allowing FDI in multi- brand retail, a majority of them seems to directly or indirectly prefer the entry of foreign players. However the respondents prefer a calibrated and cautious approach towards the introduction of FDI thereby safeguarding the interests of small retailers. If FDI is allowed in retail, there could be a multi ?? sector growth. India Inc. can expect a path of growth to achieve its target of 9 per cent GDP growth rate. The new firms that enter the market will get new technology and can acquire competitiveness. . It is estimated that FDI in multi- brand retail will create nearly 10 million job opportunities in the next three to four years. This will help in reducing the countrys unemployment to a large extent. The creation of more jobs will enhance the standard of living of farmers as they would get better returns on their yields by selling directly to the retailers rather than selling it in the intermediaries. FDI will also help in bringing food inflation under control. Key Words: Multi- brand Retailing, FDI, Organized Retailing, Unorganized Retailing -
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Implications of Goods and Services Tax on Indian Micro, Small and Medium Enterprises
This research explores the impact and provides implications of Goods and newlineServices Tax , a comprehensive indirect tax reform on the growth of Indian newlineMSMEs, the fundamental drivers of economic progress and employment in India. newlineThe purpose is to assess the relationships and impact of the knowledge of GST, newlineInput tax credit (ITC), Revenue neutral rate (RNR), and GST compliance on the newlinegrowth of Indian MSMEs. Also, the research focuses on the interceding role of GST newlinecompliance in the relationship between GST knowledge, ITC, RNR and MSMEs newlinegrowth, as well as to discover facets that impede the implementation of effective newlinetax policies, particularly in the context of MSMEs. This study is based on a Crosssectional Survey with 531 MSME participants who are registered under Regular newlinescheme. Structural Equation Modelling - Partial Least Squares (SEM-PLS) in newlineSmart PLS4 was utilized to examine the relationships amongst the variables, assess newlinethe impact of each variable on the outcome variable, either directly or indirectly and newlineto test the research hypotheses. The results show, GST knowledge, ITC, and RNR newlinehave significant positive effects on GST compliance and on perceived growth of newlineMSMEs. Also, the study found, GST compliance has a complementary partial newlinemediating role in the relation between these factors and perceived growth of newlineMSMEs. Furthermore, GST knowledge, ITC, and RNR have positive effect on newlineperceived MSMEs satisfaction with the GST system. But, the effect of GST newlineknowledge and ITC on perceived satisfaction of MSMEs through GST Compliance newlinewas not significant. This hints that, while knowledge of GST and ITC are important, newlinecomplications in claiming ITC and burdensome compliance requisites can newlineunpleasantly impact compliance and satisfaction with GST. The study also newlineobserved significant variations in perceptions of GST knowledge, ITC, RNR, GST newlineCompliance, MSMEs satisfaction, and MSMEs growth across different newlinedemographic variables. -
Implications of the Look East Policy and Ethnic Violence in Manipur
[No abstract available] -
Implications of the Look East Policy and Ethnic Violence in Manipur
[No abstract available] -
Importance of Artificial Intelligence (AI) and Robotic Process Automation (RPA) in the Banking Industry: A Study from an Indian Perspective
The papers primary focus is intelligence creation by AI and fast implementation by RPA. It starts with the applicability of the Turing test propounded by Alan Turing, the father of Artificial Intelligence (AI). At the backdrop lies various events, namely the recent motivation addition of various bank account holders. These factors fuelled the demand for AI and RPA implementation in the banking industry. It pitched how AI and RPA work in real-time scenarios such as financial fraud and money laundering. It discusses how AI builds the knowledge graph and recommends products and services for each customer. This knowledge is implemented and delivered using RPA. The AI application gained prominence in every banking business segment, such as equity, personal, investment and loan. The application of RPA is present in all business segments, although the percentage is increasing yearly. The AI and RPA can help banks to convert the challenges to opportunities. There have been various challenges, and the application of AI and RPA combinations is the key to solving the inefficiencies. Advanced analytical techniques on open-source data have been used in this paper. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Importance Of Artificial Intelligence in Improving Human Resource Management For Companies To Find Suitable Candidature
The efficient use of pertinent human resources both inside and outside the company via management structures guided by economic and humanistic principles is known as human resource management. It is a catch-all word for a set of actions that guarantee the accomplishment of group objectives and the optimization of member growth. Employers need the correct recruitment tools to fill available positions since traditional recruiting approaches are not up to par in the global talent battle. First, as the digital tool redesigns business, we look at how talent acquisition has evolved from digital 1.0 to 3.0 (AI-enabled). Artificial intelligence technology has made recruiting more efficient and made recruiters' daily tasks easier. Additionally, the analysis in the paper shows that artificial intelligence (AI) is crucial to every step of the hiring process, including promotion, application, screening, evaluation, and coordination. This study demonstrates how organizations are realizing the value of talent management in gaining a competitive edge as the need for higher-level talent grows. Even though some HR managers are using AI for talent acquisition, our research shows that there is still an opportunity for development. 2024 IEEE. -
Importance of brain-based learning in effective teaching process
Neuroscience plays an important role to inform about brain functioning and corresponding behaviors. While scientists have continuously studied about brain in its entirety, several other fields in science, arts, and humanities are drawing applications from these neuroscientific studies. Similarly, in terms of education too, there are several applications. Once such is brain-based learning. This is to learn and teach with an understanding about brain's capability and functioning to increase one's learning potential. In order to do so, effective teaching is required. This particular chapter thus focuses on different teaching strategies which adopt brain-based learning and are evidence-based. The chapter initially informs about neuroscience and cognitive science interaction and its impact on effective teaching-learning process. After which evidence-based teaching strategies in classrooms, their importance via evidence-based studies, and techniques to incorporate them in classroom settings are explained. Finally, the chapter concludes with challenges and benefits. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved.