Volume 12 | Issue 9 |

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Unmanned Aerial Vehicle (UAV), Remotely piloted vehicles (RPV), Remotely piloted Aircraft (RPA), Unmanned Aerial Systems (UAS) and the most used terminology, "Drone" (Matthew Urwin, 2022) is proving itself to be a revolutionary technology due to its affordability, versatility, and ability to adapt to the user requirement. It has increased from daily entertainment to logistics, policing, law enforcement, communication coverage, remote sensing and surveillance, weather forecasting, and remote seeding of forests to agriculture. Drone technology is emerging as a game changer that offers practical, efficient, and reliable solutions. Integrating AI and ML with the onboard Sensors, optical devices, thermal imagers, and deep penetration radars with the UAVs in future warfare will be pivotal as the present fighting tactics and equipment are oriented for ground operations with limited air and underwater orientation. The emerging shape and the possibilities the UAV hold make it a "weapon system of the future" (Gettinger Dan, 2021) and a potent tool for Network Centric Warfare.

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UAV TECHNOLOGY AND NATIONAL SECURITY CHALLENGES

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This study investigates UPI (Unified payment Interface) in digital payment awareness with special reference in Coimbatore city. UPI has changed into performed amongst the overall public in Coimbatore. The have a look at is performed to understand the use of Digital payment. The have a look at is primarily based totally on Primary Information. A pattern of one hundred twenty respondents changed into decided on via of means of convenient sampling method. The questionnaire encompasses various aspects related to the utilization of UPI accounts in covering the reasons for adopting digital payments, and mode of transaction, and primary motivations, factor influencing UPI usage, satisfaction levels, challenges encountered in the process. The information amassed changed into analyzed the use of statistical gear consisting of Chi-square analysis and, Simple percentage analysis The end result discovered the majority of the customer are employed and maximum favored tool is digital cash payments. The findings offer valuable insights for enhancing services and promoting the adoption of digital payments among the general public in Coimbatore city.

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Usage of Digital Transactions, Digital Transaction Trends, User Experience.

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Creative Commons Attribution 4.0 and The Open Definition

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DNA, RNA, mRNA, AML, ALL, SVM & PCA

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Pancreatic cancer (PC) is still one of the deadliest types of cancer. It is the 10th most prevalent malignancy in males and the 7th most frequent among females. The aim of this review paper is to thoroughly analyze the research conducted by researchers on the detection of pancreatic cancer by employing several artificial intelligence learning methods such as deep learning, machine learning etc. The PRISMA approach was employed for conducting a comprehensive assessment to include relevant papers published between the years 2019 and 2024. This study emphasizes the significance of current methods in identifying and diagnosing pancreatic cancer. The compilation of data from research studies provided an outline of the present state of AI applications in this field. It emphasized the advances that had been made and the ongoing challenges that must be addressed to enhance diagnostic accuracy and patient outcomes. While examining the existing techniques, it had been found that the perfect scores had been computed by YOLOCNN in terms of accuracy, precision, recall, and F1 score while as a neuro-fuzzy interference system achieved 99.95% accuracy. Additionally, 3D UNet attained 100% sensitivity and specificity with an AUC-ROC of 0.99. The novelty of the study lies in its integration of advanced convolutional neural networks with the explainable artificial intelligence to enhance model interpretability and trustworthiness which thereby facilitates better clinical decision-making and understanding of the diagnostic process for pancreatic cancer.

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Pancreatic cancer, Machine learning, XAI, Deep learning, Advanced CNN, Feature extraction

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The purpose of this paper is to contribute to the understanding demonetization and impact of demonetization on small medium enterprises (SMEs) by drawing attention to the impact on economic activities, and to further provide an integrated framework to examine the impact of demonetization on SMEs. "Demonetization refers to withdrawal of a particular form of currency from circulation." Through demonetization the old currency is replaced by the new currency or a currency circulation is blocked. There are multiple reasons why a country demonetizes its currency; some reasons include checking the inflation, to curb the corruption and to promote the cashless transactions. This paper aimed at reviewing the general impacts of demonetization on SMEs.

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Demonetisation, Currency, SMEs, Economy, Black Money

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The study has been conducted on a sample of 100 students selected from different schools of Amritsar district studying in XI and XII class. D P I inventory (Dr. Mahesh Bhargava) was used as a tool for measuring the different personality traits. Matric examination marks were taken for judging the academic achievement. The results reveal that the academic achievement of female adolescents is higher than that of male adolescents. Male adolescents found to be extremely active which can be one of the reason of their low academic achievement, whereas moderately active personality trait of females can be the reason for their high academic achievement.

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Study of Academic Achievement of Adolescents in Relation To Their Personality Traits

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Abstract Adolescence is the transition phase between growth and development between childhood and adulthood. The World Health Organization (WHO) defines an adolescent as any person between ages 10 and 19. This age range falls within WHO's definition of young people, which refers to individuals between ages 10 and 24. In adolescence, the competence of interpersonal relations develops and increase. However, students still face some problems during puberty. To overcome these problems, guiding and counselling services are needed. Nevertheless, for it to be effective, it is important to understand students' interpersonal relationships accurately. The purpose of the study was to describe the nature of interpersonal relationships among students in high schools of Kerala. The sample population consisted of 240 high school students selected by random sampling technique. The tool used is the scale of interpersonal relationship prepared and standardised by the investigator. Data analysis used a quantitative approach with descriptive methods. The results showed interpersonal relationships among students were average in nature. The findings of this study might be used by counsellors to improve students' interpersonal relationships.

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Key words : Interpersonal Relationships, High School Students

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Artificial Intelligence (AI) is transforming industries worldwide, and education is no exception. In industrial education, the integration of AI has the potential to revolutionize training and skill development, preparing workers for the demands of modern industries. This paper explores the impact of AI on industrial education, discussing its benefits, challenges, and implementation strategies. Introduction: Industrial education plays a crucial role in equipping individuals with the skills and knowledge needed to thrive in today's industrial sectors. However, traditional approaches to industrial education often struggle to keep pace with rapid technological advancements and changing industry demands. AI offers a solution to this challenge by providing innovative tools and techniques to enhance industrial education.

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Artificial Intelligence, Industrial Education, Innovation, Personalized Learning, Intelligent Tutoring Systems, Challenges, Recommendations

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Creative Commons Attribution 4.0 and The Open Definition

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?????? ???????? - ?????????? ?????????, ???????????, ????????

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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ESG metrics; Financial indicators; ESG Performance; Machine Learning; Predictive accuracy; Random Forest

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Creative Commons Attribution 4.0 and The Open Definition