REST Journal on Data Analytics and Artificial Intelligence最新文献

{"title":"Analytical study of hashtag # at social media platforms in the era of artificial intelligence","authors":"","doi":"10.46632/jdaai/3/1/3","DOIUrl":"https://doi.org/10.46632/jdaai/3/1/3","url":null,"abstract":"The increasing influence of social networking sites, today instead of the traditional use of communication technology, changes are being seen in certain signs and symbols in the language every day. Among all these symbols, hashtag is at the forefront as a symbol of artificial intelligence. hashtags (#) have become a new way to express your views in an organized manner in the media. The ideas of the Capitol Hill movement in America and the farmers' movement in Delhi were spread through hashtags. hashtag (#) Control is not the answer hashtag (#) Self-control is the answer. This is based on the trend of hastag and its usage at various platforms.","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"35 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141015719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of AI on Healthcare: A Descriptive Study","authors":"","doi":"10.46632/jdaai/3/1/2","DOIUrl":"https://doi.org/10.46632/jdaai/3/1/2","url":null,"abstract":"Artificial intelligence (AI) has become a multifaceted breakthrough in healthcare with the promise of transforming patient care and clinical practices. The paper presents a comprehensive retrospective mainly concerned with AI and its future scope in health-care services. The paper offers an overview of prevailing trends, illustrating AI’s transformative potential towards diagnostic accuracy, treatment efficiency and operational productivity in healthcare systems. This research paper will delve into the rise of AI in healthcare, from its early stages to technologies that are cutting edge and influencing the future medicine. Furthermore, we will investigate how AI affects patient outcomes, healthcare staff dynamics and the overall healthcare ecosystem through aprism of multidimensionality. The goal of the research as such is to equip all takeholders with historical trends, current advancements and future trajectories so that they can use AI in healthcare effectively but responsibly. The aim is to create a healthcare environment where there are AI driven improvements in patient care which provide equal opportunity for all.","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"46 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140736669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study on the Impact of Technology on Human Emotions Authors","authors":"","doi":"10.46632/jdaai/3/1/1","DOIUrl":"https://doi.org/10.46632/jdaai/3/1/1","url":null,"abstract":"This study investigates the complex interaction between technology and human emotions, to provide insights into how technological improvements affect numerous aspects of emotional experiences in today's society. The study investigates the complexity of this connection using a mixed-methods approach that includes quantitative surveys as well as qualitative interviews, providing light on both the positive and negative aspects. Quantitative analysis indicated a disturbing pattern, demonstrating a negative relationship between high levels of technology use and participants' self-reported emotional well-being. Excessive screen time was linked to increased tension, anxiety, and feelings of social isolation, emphasizing the negative consequences of technology-induced social separation. Qualitative interviews revealed further levels of this phenomenon, as individuals recounted personal stories of loneliness and emotional alienation caused by an overreliance on technology, particularly social media platforms. Interpersonal relationships suffered dramatically, with disagreements and misunderstandings resulting from digital diversions and emotional distance infiltrating real-life ties.\u0000 Furthermore, participants reported experiencing technostress and digital exhaustion as a result of modern technology's constant connectedness and information overload. Despite these bad experiences, some individuals reported positive emotional results such as enjoyment, connection, and productivity, highlighting the complexities of the link between technology and human emotions. Based on these findings, numerous recommendations are made to encourage healthier technology use and emotional well-being. These include educational campaigns to promote awareness about digital well-being, advocating for balanced technology use, developing digital literacy skills, creating technology with emotional well-being in mind, and supporting offline activities and meaningful human interactions. Finally, this study contributes to a better understanding of the impact of technology on human emotions, influencing interventions and strategies for using technology to improve rather than subtract from emotional well-being in an increasingly digital society.","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"542 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140453878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finding Harmful Comments on Social Networking Sites Using NLP and Machine Learning Methods","authors":"Esha Bansal, N. Bansal","doi":"10.46632/jdaai/2/2/15","DOIUrl":"https://doi.org/10.46632/jdaai/2/2/15","url":null,"abstract":"The usage of violent language has significantly increased due to social media and networking. A key component in this is the younger generation. More than half of young people who use social media are affected by cyberbullying. Harmful interactions occur as a result of insults expressed on social net-working websites. These comments foster an unprofessional tone on the internet, which is usually un-derstood and mitigated through passive mechanisms and techniques. Additionally, the recall rates of current systems that combine insult detection with machine learning and natural language processing are incredibly poor. To establish a viable classification scheme for such concepts, the research ana-lyzes how to identify bullying in writing by examining and testing various approaches. We propose an effective method to assess bullying, identify aggressive comments, and analyze their veracity. NLP and machine learning are employed to examine social perception and identify the aggressive impact on in-dividuals or groups. The ideal prototyping system for identifying cyber dangers in social media relies heavily on an efficient classifier. The goal of the paper is to emphasize the critical role that learning strategies play in enhancing natural language processing efficiency.","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130837387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Empirical Survey on Eye Care Services in Bengaluru","authors":"D. Pallavi, lakshmi Vara, D. Mohit Bohra, Kauser Heena, Talawat Manav","doi":"10.46632/jdaai/2/2/1","DOIUrl":"https://doi.org/10.46632/jdaai/2/2/1","url":null,"abstract":"The eye care industry in India is growing at a rapid pace, and Bengaluru is one of the fastest- growing cities in the country with a significant demand for quality eyecare services. The purpose of this research paper is to provide a comprehensive market study of the eyecare services market in Bengaluru, including an overview of the market size, growth potential, competition, and prospects. The study reveals that the market is growing at a significant rate due to the rising prevalence of eye disorders and diseases, growing awareness about eye health, and increasing disposable incomes. The market is highly competitive, with both domestic and international players competing for market share. The future of the eyecare services market in Bengaluru looks promising, with a focus on providing affordable and accessible eyecare services to the masses. The city is home to a large number of eye care facilities, ranging from small clinics to multi-specialty hospitals, providing a wide range of services including routine eye check-ups, cataract surgery, LASIK, corneal transplantation, and glaucoma treatment, among others. With the use of advanced technology and skilled professionals, the industry is poised for further growth and innovation, making it a key player in the healthcare landscape of Bengaluru.","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122856161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Attendance System with Two-Way Verification using QR Code Scanning and Face Recognition with Eye Blink Detection","authors":"Ghanbahadur, Gaurav Balu, C.Kalpana","doi":"10.46632/jdaai/2/2/6","DOIUrl":"https://doi.org/10.46632/jdaai/2/2/6","url":null,"abstract":": The usage of biometric technology has grown in popularity recently across several industries, including attendance management systems. Utilising biometric technology has been shown to be a more dependable and secure technique of managing attendance. This study suggests an artificial attendance system that uses face recognition with eye blink detection, QR code scanning, and two-way verification. The objective of this system is to enhance the security, accuracy, and reliability of attendance management in various organisations. The suggested system manages attendance via two-way verification. The system first reads a unique QR code that is produced for each user. Second, the system uses face recognition with eye blink detection to confirm the user's identification. The presence and identity of the user are confirmed by the two-way verification. The system also keeps track of the user's attendance's date, time, and place. Deep learning techniques are the foundation of the facial recognition system employed in this study. The system extracts facial features from the user's face using a convolution neural network (CNN). For precise person recognition, the CNN is trained on a big collection of facial photos. Deep learning algorithms are also the foundation of the eye blink detection system. To recognise eye blinks, the system makes use of a long short-term memory (LSTM) neural network. A dataset of facial photos with labelled eye blink data is used to train the LSTM. The Open CV library and Python programming language were used to create the suggested system. A collection of 1000 facial photos with labelled eye blink data was used to test the system. Eye blink detection accuracy for the system was 95% and facial recognition accuracy was 98%. To increase the precision and dependability of attendance management, the proposed system can be implemented in a variety of organisations, such as businesses, schools, and universities. The system may also aid in lowering the time and effort needed for managing attendance and enhancing the security of attendance records","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133562012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Animal Husbandry Instructions in Green House gas using Fuzzy TOPSIS Method","authors":"","doi":"10.46632/jdaai/2/2/2","DOIUrl":"https://doi.org/10.46632/jdaai/2/2/2","url":null,"abstract":"","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124647889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"“The Jio Effect: Evaluating the Impact of Jio on Internet Usage and Digital Transformation”","authors":"M. Jyoti, M. Priyanka","doi":"10.46632/jdaai/2/2/16","DOIUrl":"https://doi.org/10.46632/jdaai/2/2/16","url":null,"abstract":"The study examines the socio-economic implications of Jio's impact on internet usage. It investigates the role of digital inclusion in empowering previously underserved communities and bridging the digi-tal divide. The research explores the changes in access to information, communication patterns, and economic opportunities for individuals and businesses. this research explores the impact of Jio on dig-ital content consumption, including streaming services, e-commerce, social media, and online educa-tion. It examines the shifts in consumer preferences, market dynamics, and the emergence of new busi-ness models as a result of increased internet accessibility and affordability brought about by Jio. Dis-ruptive Market Entry: Jio's entry into the Indian telecommunications market brought about a para-digm shift by offering affordable data plans and high-speed internet connectivity. Understanding the impact of this disruptive strategy is crucial in comprehending the dynamics of the telecom industry and its influence on internet usage. Jio's affordable data plans and extensive network coverage played a vi-tal role in bridging the digital divide in India. Examining the impact of Jio on internet usage helps evaluate the extent to which previously underserved populations gained access to digital resources and the resulting socio-economic implications. The study of Jio's impact on internet usage provides in-sights into changes in user behavior, including internet penetration rates, usage frequency, and types of online activities. Understanding these shifts helps businesses and policymakers adapt their strate-gies to cater to evolving consumer preferences. SPSS (stands for Statistical Package for the Social Sci-ences) SPSS offers a user-friendly interface that allows users to perform various tasks without exten-sive programming knowledge. It provides a wide range of statistical procedures and techniques, mak-ing it suitable for both basic and advanced data analysis. These procedures include descriptive statis-tics, inferential statistics, regression analysis, factor analysis, cluster analysis, and many more. More-over, SPSS offers a syntax language, known as the SPSS command language, which allows users to automate repetitive tasks and perform advanced analyses. This feature enhances reproducibility and allows for more complex data manipulations and statistical modeling. Rate your internet usage per day 2. After jio entered market did it increased your internet usage (if yes how much as compared to before) 3. Are you satisfied with increase internet usage 4. Rate your internet accessibility after jio en-tered market 5. Do you wish to reduce internet usage 6. Increase in internet usage has impacted my life. The overall Cronbach's Alpha value for the model is .531. It Shows the Reliability Statistic individ-ual parameter.","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132278159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Survey on Impact of Social Media on Students","authors":"M. R. Harikrishna, D. Pallavi, Sait Hammad, Emad Syed, Somani Krishna","doi":"10.46632/jdaai/2/2/3","DOIUrl":"https://doi.org/10.46632/jdaai/2/2/3","url":null,"abstract":"This is often a detailed think about on the effect of the foremost well-known shape of organizing nowadays, social media, on understudies over all ages. Also, the paper moreover looks at to discover the different impacts social media has on understudies and what endeavors can be made to move forward social media experience for the different understudy clients of social media. With the assistance of writing survey and quantitative investigation of essential information, the issues and challenges confronted by understudies whereas utilizing social media. The discoveries make a difference as it helps us to conclude on the off chance that the social media emphatically or contrarily influences the life of an understudy","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130733749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Detailed Study About Women in the Sports Industry","authors":"Aman Siroya, D. Pallavi, Satpathy Atmika, Ladha Darshita","doi":"10.46632/jdaai/2/2/5","DOIUrl":"https://doi.org/10.46632/jdaai/2/2/5","url":null,"abstract":"This research paper explores the role of women in the sports industry, with a focus on their experiences in leadership positions. The paper begins by examining the historical context of women's participation in sports, and how this has evolved over time. It then discusses the current state of women's representation in the industry, including the challenges they face in breaking through the glass ceiling. The paper also looks at the strategies and initiatives that have been put in place to promote gender diversity in sports leadership and evaluates their effectiveness. Finally, the paper concludes by offering recommendations for further research and action that can be taken to ensure greater gender equity in the sports industry.","PeriodicalId":395450,"journal":{"name":"REST Journal on Data Analytics and Artificial Intelligence","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133506205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}