Gender recognition from unconstrained selfie images: a convolutional neural network approach

<p>Human gender recognition is an essential demographic tool. This is reflected in forensic science, surveillance systems and targeted marketing applications. This research was always driven using standard face images and hand-crafted features. Such way has achieved good results, however, the reliability of the facial images had a great effect on the robustness of extracted features, where any small change in the query facial image could change the results. Nevertheless, the performance of current techniques in unconstrained environments is still inefficient, especially when contrasted against recent breakthroughs in different computer vision research. This paper introduces a novel technique for human gender recognition from non-standard selfie images using deep learning approaches. Selfie photos are uncontrolled partial or full-frontal body images that are usually taken by people themselves in real-life environment. As far as we know this is the first paper of its kind to identify gender from selfie photos, using deep learning approach. The experimental results on the selfie dataset emphasizes the proposed technique effectiveness in recognizing gender from such images with 89% accuracy. The performance is further consolidated by testing on numerous benchmark datasets that are widely used in the field, namely: Adience, LFW, FERET, NIVE, Caltech WebFaces and<br />CAS-PEAL-R1.</p>

A Fine-Tuned BERT-Based Transfer Learning Approach for Text Classification

Text Classification problem has been thoroughly studied in information retrieval problems and data mining tasks. It is beneficial in multiple tasks including medical diagnose health and care department, targeted marketing, entertainment industry, and group filtering processes. A recent innovation in both data mining and natural language processing gained the attention of researchers from all over the world to develop automated systems for text classification. NLP allows categorizing documents containing different texts. A huge amount of data is generated on social media sites through social media users. Three datasets have been used for experimental purposes including the COVID-19 fake news dataset, COVID-19 English tweet dataset, and extremist-non-extremist dataset which contain news blogs, posts, and tweets related to coronavirus and hate speech. Transfer learning approaches do not experiment on COVID-19 fake news and extremist-non-extremist datasets. Therefore, the proposed work applied transfer learning classification models on both these datasets to check the performance of transfer learning models. Models are trained and evaluated on the accuracy, precision, recall, and F1-score. Heat maps are also generated for every model. In the end, future directions are proposed.

Building Brand Relationship Through Millennial Generation Behaviors: Marketing Strategy on Instagram

The theme of this research is the preparation of a marketing strategy in social media by considering the market and considerations of the aforementioned social media platforms. This study aims at the behavior of the intended target market and the development of suitable methods for that market to improve the performance of content development on Instagram social media. This research is based on the theory that has been put forward by marketing experts and business innovation which can be applied simply in the marketing activities held. The close relationship between the brand and the target market will show the role of communication through targeted marketing activities, especially in Indonesia. Keywords: Brand, Target Market, Instagram, Communication, Marketing Strategy.

MOTIVATION, STRATEGY, DIGITAL MARKETING: MSME SUREFIRE MOVES TO SURVIVE IN THE MIDST OF THE COVID-19 PANDEMIC

This service activity aims to analyze the needs and build a digitalization mindset for MSMEs in Malang City in facing the challenges of the Covid-19 Pandemic. Digital marketing strategies can be a bridge for MSMEs to reach a wider target market, so an interpersonal approach is needed to encourage business people to renew targeted marketing strategies. The method of implementing this activity consists of three stages, namely pre-implementation, implementation and post-implementation. The findings on the activity contain interesting facts, including MSMEs in Malang City do not experience capital problems, cash flow uncertainty causes a reduction in production activities, features on online platforms have not been used optimally and difficulties in compiling interesting content that can create interaction with the target market. Significant results were shown by MSME actors after participating in counseling and training activities, namely MSME actors were able to determine an online platform that could support their marketing system and some MSME actors were able to create interactions with consumers through digital activation to the purchase process from consumers. Apart from that, there are still many things that must be improved by MSME actors, especially in improving the quality of human resources and the digital marketing system.

DEVELOPMENT OF MARKET THEORY: THE RELATIONSHIP BETWEEN COMPETITION RISK AND THE DIGITAL MARKET

The development of the Internet, big data, computer algorithms, artificial intelligence, selflearning robots and other areas of the digital economy contribute to improving life. At the same time, players with market power are emerging in the economy, based on the use of algorithms, big data, big analytics, the use of intellectual property rights, the widespread use of targeted marketing technologies on this basis, not only studying, but also forming consumer preferences. The consequences of digital transformation in the economy are significant, and symbolic changes in legislation and practice of its application cannot be dispensed with here. It is necessary to measure the risks and benefits of the digital economy for competition and public welfare. Risks need to be managed, and benefits need to be multiplied. It is necessary to evaluate the new situation in the markets based on the basic postulates, and also take into account that the dynamic nature of changes has become the main characteristic of the markets.

The Paradoxical Relationship Between Health Promotion and the Social Media Industry

Mounting evidence suggests that problematic adolescent social media use is associated with poor mental health. To respond to increased adolescent mental health concerns, health promoters increasingly rely on social media initiatives to promote their resources, programs, and services. This creates a paradoxical situation where social-media-linked adverse mental health outcomes are addressed using the same tools and platforms that can contribute to the development of such issues. It also highlights several areas of needed critical assessment in health promotion usage of social media platform features and products, such as addictive platform design, targeted marketing tools, data collection practices, impacts on underserved groups, and conflicts of interest. To advance subsequent action on these tensions, we offer three recommendations for health promoters that build upon existing scholarship and initiatives, including adapting ethical guidelines for health promoters using social media, adopting conflicts of interest policies, and promoting interdisciplinary scholarship.

Applications of cloud computing in modern marketing

Many cloud-based marketing programs, ranging from CRM systems to marketing automation solutions,are already widely used. These services let marketers monitor campaigns and activities across mobile,social, and Web platforms, as well as customer interactions. As Internet usage has spread acrossdevices, there are more ways to engage potential consumers in this modern era - but it is also morechallenging to attract their attention. Customers desire stuff that is unique, organic, engaging, andpersonalized. Marketers may employ cloud technology to generate new data-driven strategies and moretailored and targeted marketing. These tools will very definitely be combined with one of the digitalmarketing components listed below.

Applications of cloud computing in modern marketing

Many cloud-based marketing programs, ranging from CRM systems to marketing automation solutions,are already widely used. These services let marketers monitor campaigns and activities across mobile,social, and Web platforms, as well as customer interactions. As Internet usage has spread acrossdevices, there are more ways to engage potential consumers in this modern era - but it is also morechallenging to attract their attention. Customers desire stuff that is unique, organic, engaging, andpersonalized. Marketers may employ cloud technology to generate new data-driven strategies and moretailored and targeted marketing. These tools will very definitely be combined with one of the digitalmarketing components listed below.

Cloud computing's influence on digital marketing

Numerous cloud-based marketing apps, ranging from CRM systems to marketing automation tools, are already in widespread usage today. These services assist marketers in tracking their campaigns and efforts across mobile, social, and Web platforms, as well as consumer interactions. There are more methods to engage prospective clients in this technological era, as Internet use has expanded across devices - but it's also more difficult to capture their attention. Consumers want for material that is original, organic, engaging, and individualized. Marketers may use cloud technologies to create new plans based on data and to create more customized and targeted marketing. These tools are almost certainly going to be integrated with one of the following digital marketing components.

Community Collaborations & Technology Successfully Connect Isolated Older Adults to Education & Activities

Providing programs, activities and education to older adults (OA) is a challenge under normal circumstances. The Arkansas Geriatric Education Collaborative (AGEC) is a HRSA Geriatric Workforce Enhancement Program with a mission to “provide high quality programs that support healthy aging in Arkansas.” Prior to the pandemic, AGEC educators provided face-to-face programs to OA’s through senior centers, places of worship and other public venues. The pandemic changed all that. In-person programs were replaced with zoom presentations, social media events and pre-recorded programs placed on websites and patient-learn platforms for 24/7 viewing. Gaining viewership proved difficult and after collaborative research, it was determined the major barrier was a digital divide between access, usage and knowledge of digital platforms. To overcome this barrier, AGEC utilized TV, radio, libraries, digital infographics, newsletters and video tips addressing Wi-Fi and technology training. Videos, distributed via multiple routes, addressed basic topics such as “Creating and Utilizing Zoom and Facebook accounts” and “how to improve telehealth visits”. After establishment of a regular audience, AGEC engaged new and established partners and hosted a plethora of educational programs and activities further expanding the viewing audiences. In addition, with personalized emails and targeted marketing, AGEC engaged OA audiences in caregiving workshops, on-line caregiver support groups, telephone check-ins and exercise programs. Many OAs have found ways to bridge the digital divide and are engaged and active with educational and program activities and have used their new skills to connect with other OAs, grandkids, friends and even their spiritual communities.