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Credibility of advertisements on social media - people's perspective /
Social media has created a buzz ever since its inception. It has always created the curiosity factor amongst the people. There has been numerous literatures and information regarding social media and its influence on people, but the most important aspect is the bond that people seem to have developed with social media today. Considering the dependability of the audience on social media, the credibility factor has to be strictly monitored. -
CREDIBILITY OF MEDIA CONTENT ON FITNESS
Fitness is possibly a new found scientific understanding of health and nutrition in people today. Off late, people have realised the importance of fitness. Each medium sells the concept of fitness differently to its audience. The manner in which it projects the same may have a positive or negative understanding of the same. Therefore, this study attempts to answer whether there is any credibility in media content on fitness. Content analysis on a print medium and two social media pages have been conducted followed by a focus group discussion to understand the audience perception of the said credibility if any. Conclusion has been drawn based on the content analysis of the medium considered along with opinions of the respondents of the focus group discussion. -
CREDIBILITY OF WORD OF MOUTH ADVERTISING: A COMPARATIVE STUDY OF MOVIES AND FMCG
Word of mouth which is synonymous to organic marketing, buzz marketing and viral marketing is one of the most popular and a non expensive form of advertising which is undertaken by almost anyone and everyone. The changing times are seeing a changing use of this form of advertising. The study revolves around this medium of mass communication and mass consumption. The researcher thus seeks to understand the use of word of mouth advertising in case of movies and fast moving consumer goods and to find out its credibility in terms of usage. A sample size of 100 was selected using snowball sampling technique. The method of primary data collection comprised of surveys in the form of questionnaire which was distributed online. The study revealed that word of mouth advertising is more preferred, trusted and considered credible in case of movies which is the greatest source of entertainment for people even today and not fast moving consumer goods which are tried and tested by consumers themselves. -
Credit card fraud detection using ANN
Fraud on its own was and is devastating a lot of businesses, be them small or large. Particularly in the field of finance where we can see constant attacks on both individuals and enterprises alike. As such, credit cards are the most targeted as they are linked to both personal information and accounts. It is also evident to say that credit card fraud detection research is very much needed to deter and mitigate the impact of fraud on the financial field in general. It is important to identify frauds before it is too late so that the stolen credit card cannot be used for fraudulent transactions. To effectively detect these fraud transactions, we use a data consisting of fraudulent and non-fraudulent transactions to create a model that classifies these transactions with a high accuracy based on a machine learning technique. We used Artificial Neural Network with Logistic Regression to measure and in order to achieve high accuracy, we refined the parameters using the algorithms Back-propagation which has proved to have a high accuracy rate giving the model the ability to distinguish a fraudulent transaction from a normal one. BEIESP. -
Credit card fraud detection using python and machine learning /
Patent Number: 202221047470. Applicant: Pankaj Shambunath Mishra.
Credit Card Fraud Detection Using Python and Machine Learning Abstract: As we are heading towards the digital world cyber security is becoming an essential element of our life. When we talk about security in digital life then the major challenge is to discover the anomalous activities. When we make any transaction while purchasing any product online a big proportion of consumers choose credit cards. The credit limit in credit cards often helps us to making purchases even if we don’t have the funds at that time. But, on the other hand, these features are utilised by cyber attackers. -
Credit card fraud detection using python and machine learning /
Patent Number: 202221047470. Applicant: Pankaj Shambunath Mishra.
Credit Card Fraud Detection Using Python and Machine Learning Abstract: As we are heading towards the digital world cyber security is becoming an essential element of our life. When we talk about security in digital life then the major challenge is to discover the anomalous activities. When we make any transaction while purchasing any product online a big proportion of consumers choose credit cards. The credit limit in credit cards often helps us to making purchases even if we don’t have the funds at that time. But, on the other hand, these features are utilised by cyber attackers. -
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Cricket Shot Classification with Deep Learning: Insights for Coaching and Spectator Experience Enhancement
The cricket field has undergone significant transformations owing to recent technological advancements, particularly in countries like India. Technology has been used to determine projected scores, chances of winning, run rates, and many more parameters. This study centers on employing Deep Learning in cricket, focusing on the classification of different types of shots played by batsmen to aid in creating coaching strategies and enhancing the spectator experience. The proposed model uses a dataset of cricketing shots generated by collecting images from the internet, comprising 5781 images of 7 distinct shot types played by batters. The VGG-16, VGG-19, and RestNet-50 model architectures were trained for the classification task, with the best result obtained from VGG-16. Pre-processing tasks, such as scaling, augmentation, etc., were performed on the images before classification. Subsequently, 85% of the total images were used to train the model and for testing, rest 15% of images, resulting in an accuracy of 96.50% from VGG-16, 92% from VGG-19, and 78% from RestNet-50. 2024 IEEE. -
Cricket Victories
This famous stamp was issued to commemorate India's historic tour of England in 1971. After losing only one match, India went on to win its first ever Test Series in a nail-biting finish. The stamp depicts a cricketer in characteristic poses of batting, bowling and wicket-keeping. -
Cries of war: Securitization of fluid transnational identities during war (a comparative study of securitization of Chinese Indians and Japanese Americans)
Fluid transnational identities are an omnipresent reality in the contemporary world, but what happens when war becomes a reality or the threat of war is imminent in a State which contains fluid transnational identities? This article tries to explore these dynamics to determine if the threat from transnational identities is an actual threat during war or an act of an elite few, and what follows after the war, by comparing the experiences of Chinese Indians and Japanese Americans. The study heavily leans on securitization theory to explore the questions posed and elaborate on the situations when habeas corpus was denied thereby incarceration and internment as a practice were justified. The relationship between the transnational population and the State under the Copenhagen School is also further elaborated on. The Author(s) 2021. -
Crime analysis and forecasting on spatio temporal news feed dataan indian context
Social media is a platform where people communicate, interact, share ideas, interest in careers, photos, videos, etc. The study says that social media provides an opportunity to observe human behavioral traits, spatial and temporal relationships. Based on study Crime analysis using social media data such as Facebook, Newsfeed articles, Twitter, etc. is becoming one of the emerging areas of research across the world. Using spatial and temporal relationships of social media data, it is possible to extract useful data to analyse criminal activities. The research focuses on implementing textual data analytics by collecting the data from different news feeds and provides visualization. This researchs motivation was identified based on relevant work from different social media crime and Indian government crime statistics. This article focuses on 68 types of different crime keywords for identifying the type of crime. Nae Bayes classification algorithm is used to classify the crime into subcategories of classes with geographical factors, and temporal factors from RSS feeds. Mallet package is used for extracting the keywords from the news-feeds. K-means algorithm is used to identify the hotspots in the crime locations. KDE algorithm is used to identify the density of crime, and also our approach has overcome the challenges in the existing KDE algorithm. The outcome of research validated the proposed crime prediction model with that of the ARIMA model and found equivalent prediction performance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. -
Crime Analysis and Forecasting using Twitter Data in the Indian Context
Since the late 1990s, social media has added more features and users. Due to the rise of social media, blogs and posts by common people are now a part of mainstream journalism. Twitter is a place where people can share their ideas about culture, society, the economy, and politics. India's large population and rising crime rate make it hard for law enforcement to find and stop illegal activities. This article shows the use of Twitter data to analyse, forecast, and visualise criminal activity using statistical and machine learning models and geospatial visualisation techniques. This helps law enforcement agencies make the best use of their limited resources and put them in the right places. The research aims to present a spatial and temporal picture of crime in India and is split into three parts: Classification, Visualisation, and Forecasting. Crime tweets are identified using a hashtag query argument in the tweepy python package's search_tweets function, followed by substring-keyword classification. The visualisation uses gmaps and bokeh python packages for geospatial and matplotlib for analytical applications. The forecasting portion compares AR, ARIMA, and LSTM to determine the best model for time series forecasting of crime tweet count. 2023 IEEE. -
Crisis and Man: Literary Responses Across Cultures
Journal of Business Management & Social Sciences Research, Vol-1 (3), pp. 29-31. ISSN-2319-5614 -
Crisis Faced by a B-School
This article discusses the marketing missteps made by a prestigious B-school, exploring key concepts such as improper positioning and the imperative for repositioning. It provides an in-depth analysis of the decline in admissions at this well-established institution, culminating in a crisis. Additionally, the article explores a range of strategies available to the B-schools founder and top management team to enhance the institutions visibility and bolster its brand. Furthermore, it sheds light on the challenges the B-school faces, including inadequate infrastructure and other weaknesses, such as subpar research output, moderate placement offers and a low ranking in national B-school surveys. The case meticulously examines the errors made by the B-schools leadership team, such as discontinuing advertising and the ill-advised decision to withdraw from B-school surveys. Ultimately, this article epitomizes the predicament faced by an institution that relied on its historical strengths and failed to adapt to the evolving demands of its environment. It concludes by presenting short-term and long-term strategies available to decision-makers for crisis mitigation. It highlights digital marketing as one of the short-term solutions earnestly considered by the B-schools management to enhance brand awareness among its target audience. 2024 Lahore University of Management Sciences. -
Crisis management, destination recovery and sustainability: Tourism at a crossroads
The COVID-19 pandemic brought travel to a halt and the global tourism industry has been one of the sectors hit hardest during the pandemic. This book looks at how the tourism industry can enhance its resilience and prepare for future crises more effectively. The book provides insights into the economic, social, geopolitical and environmental implications of the COVID-19 pandemic on the tourism and hospitality industries and the responses in diverse international contexts. It highlights key concepts and includes cases with real-life applications. The book also discusses future research directions in a post-pandemic scenario. This book will be an invaluable resource for practitioners in the areas of tourism and crisis management and for readers to compare and contrast tourism destination recovery and crisis management practices through different research methodologies and settings. 2023 selection and editorial matter, James Kennell, Priyakrushna Mohanty, Anukrati Sharma and Azizul Hassan. All rights reserved. -
CRISPR-Cas9 genome editing of crops: Food and nutritional security
The United Nations established the goal of achieving global food security by 2030 as one of its top sustainable development goals in 2015. The current agricultural harvest is insufficient to accomplish the zero-hunger objective and feed the world's growing population. It would require more extensive and consistent crop production. Gene-editing technologies have recently emerged as viable alternatives to permit precise modifications in genomes with increased efficiency and yield higher agricultural productivity. Due to their simplicity, adaptability, and reproducibility across a diverse variety of species, genetic engineering techniques like CRISPR-Cas9 have become quite prominent. CRISPR-Cas9 gene-editing technology can improve crop yields, quality, stress resistance, food safety, nutritional security, and shelf-life, reduce antibiotic resistance, and hasten plant domestication. Cutting-edge techniques like genome editing (GE) allow for the precise introduction or mutation of specified genes into plant genomes. The advent of programmable nucleases like CRISPR-Cas9 has improved gene editing and potentially improved food production and nutritional security. Knock-out, knock-in, gene activation, gene repression, nuclear rearrangements, base editing, molecular breeding, and epigenome engineering are just a few ways that CRISPR systems can target and change genes. For novel applications in plant genetic engineering, CRISPR-Cas systems can be repurposed for GE toward de-novo speciation; mitochondrial and plastid genome engineering toward enhancing photosynthesis, submergence, and drought tolerance. The versatility of CRISPR-associated systems broadens the scope of crop development applications that they can be used for, especially in improving food and nutritional security, which is the focus of this chapter. 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. -
Critical analysis of computer application at secondary schools of Bangalore district
Computer is an electronic device that has the capacity to store,
retrieve and process both qualitative and quantitative information fast and accurately. Over the past few years the growth of the computer industry has been quiet remarkable and today it is the fastest growing industry in our economy. The use of computers is not restricted only to office desktops or laptops. We see the use of computers all around us. Computers have made our lives simple and very convenient by catering to our needs at a click of the mouse; we use computers practically for every activity in our lives. Computers are being used in most of the appliances or gazettes that we use in our day to day living, thereby making it the most important part of our lives. Education system is not an exception to the same. -
Critical analysis of inventory management with reference to garments in retailing
The Major focus of this empirical research is to find out the relationships between various factors of inventory management in medium format garment retail shops that affect the sales. Samples of 100 retail shops were surveyed and the data collected was analyzed. Garment retailing is broadly classified under Men??s garment, women??s garments and Kids garments. The garment retail segment has seen good growth in recent years, thanks to the good economic environment in the country. This study is concentrated on medium format garment retailers who are facing lot of problems. Some of the problems are tremendous competitive pressure from large format stores & international brands, increasing overheads and high rentals. To counter these pressures, the medium format retailers must try to consolidate their operations, reduce their overheads like high inventory, faster inventory turnover The empirical results shows that the medium format garment retailers are having a positive outlook even though they are having tough competition. This may be because of the good economy and surge in disposable incomes of the urban population. The study also shows that by managing inventory in a tight manner and using latest technology to manage the store will ensure minimal losses and maximize customer satisfaction leading to higher sales realization. Majority of the retailers placed extra orders to take care of demand uncertainties and errors in forecasting. The average number of customers lost due to non availability of right garment was three customers per day. The study found that there is a mismatch between order frequency and supply frequency leading to higher safety stocks. This must be bridged and suppliers must increase their response time to match retailers order cycles. Shrinkage data was not available with majority of retailers. Medium format retailers are not tracking shrinkage with frequent audits and analysis. Some branded retailers who had some data attributed shrinkage on employee theft and shoplifting as the major cause of shrinkage. Most of the sourcing was done locally since Bangalore is a big manufacturing hub for garments. The mode of transport used was by road using LCVs because of traffic restrictions within the city for HCVs. Almost all retailers had bar code and scanner with offline point of sale software for billing and tracking sales. Latest technologies like radio frequency identification, online software with features like online ordering & tracking were not being used by retailers. The average turnover of medium format retailers was good and their main overhead was the high rentals. Rents in prime locations were exorbitant but unavoidable because these locations were the main shopping areas. Garment retailers must use technology to keep track of their customers, their needs and match tem with right inventory to succeed in this competitive era. -
Critical Analysis of MoS2-Based Systems for Textile Wastewater Treatment
Indiscriminate discharge of toxic organic contaminant-laden wastewater into water bodies is one of the major issues posing a risk to the environment in general and aquatic living systems in particular. Widely used textile dyes are ubiquitous in the effluents emanating from industries. Photocatalysts, due to their efficiency and eco-friendliness, can be effectively used to remove pollutant dyes from the water bodies. Molybdenum disulfide (MoS2), an emerging co-catalyst, has high photocatalytic activity, strong absorptivity, non-toxicity, and low cost; with a graphene-like structure, it offers functional features similar to graphene: high charge carrier transfer, strong wear resistance, and good mechanical strength. However, in aspects such as cost, abundance, versatile morphologies, and tunable band gap with efficient visible light absorption properties, MoS2 scores over graphene. The present chapter discusses the recent advances in nanostructured MoS2 materials for applications in environmental remediation. Special emphasis has been paid to MoS2 and MoS2-based systems for the photocatalytic degradation of various organic contaminants such as malachite green, methyl orange, rhodamine B, and methylene blue that find extensive use in the textile industry. As a result, MoS2 systems play an essential role in nanocomposites, especially in speeding up photo-induced electron transport and lowering electron recombination rates, making them desirable photocatalysts for the degradation of pollutants. The chapter focuses on addressing SDG 3 (Good Health and Wellbeing), SDG 6 (Clean Water and Sanitation), SDG 7 (Clean and Affordable Energy), SDG 9 (Industry, Innovation, and Infrastructure), SDG 12 (Responsible Consumption and Production), SDG 14 (Life Below Water), and SDG 15 (Life on Land). 2025 Moharana Choudhury, Ankur Rajpal, Srijan Goswami, Arghya Chakravorty and Vimala Raghavan.