AI-Based Video Authenticity Checker: Detecting Manipulated Videos Using CNN and LSTM Architectures
The rapid-fire increase in videotape content across digital platforms has boosted the need for effective results to decry manipulated videos. These include deepfakes and other phonies, which pose significant pitfalls to digital trust and security. This paper introduces a new approach, the" AI videotape Authenticity Checker," which employs a mongrel deep literacy frame. The model utilizes Convolutional Neural Networks( CNNs) for spatial analysis and Long Short-Term Memory( LSTM) networks for temporal analysis, furnishing a robust result for detecting fake vids. By preprocessing videotape data to regularize quality and format, the system ensures high trustability and scalability. Experimental results on standard datasets demonstrate a delicacy of 92, a perfection of 90, a recall of 91, and an F1-score of 90.5, showcasing its eventuality for real-world operations. This scalable and effective tool represents a critical advancement in videotape phoney discovery.
Published by: Jakku Kumarswami, Gorli Laxmi
Author: Jakku Kumarswami
Paper ID: V10I6-1507
Paper Status: published
Published: December 30, 2024
Big Data Analytics Unveiled Predicting Consumer Behavior through Data-Driven Strategies for Smart Retail Marketing
Big data analytics has changed the way one understands consumer behaviour and marketing strategies in any industry. According to Rakshit Negi, the article focuses on the role of big data in market segmentation and targeting, where it has proved to be an excellent tool for precise consumer insights through statistical analysis and clustering techniques (1). Similarly, the International Journal of Research Publication and Reviews explains in its analysis how data mining and machine learning algorithms may help track purchases and optimize the management of inventory; that is, the operational benefits that big data-driven retail strategies might be able to provide (2). The paper, published on ResearchGate, concerns itself with the impact of social media analytics and mobile payment data on consumer behaviour in the sense of tools like Apache Hadoop and sentiment analysis of actionable insights from different types of datasets (3). The study further emphasizes the significance of predictive analytics to predict consumer needs and optimize engagement metrics as companies reported a conversion rate boost up to 25%. The effect of big data on marketing strategies and consumer behaviour in the U.S., as studied by ResearchGate, shows that the increasing application of advanced technologies, including Tableau, Power BI, and machine learning models, to customize marketing campaigns yields a 30% improvement in target accuracy (4). It is, however, not without a cost. All reviewed studies are unanimous in their conclusion that, even in the long term, issues still prevail with respect to data integration and the skill gap in analyzing complex analytics. The erratic nature of consumer preferences makes a predictive model cumbersome; thus, it has to be upgraded constantly so that it remains current. However, despite such problems, the analyzed literature proves that big data analytics is inevitable for taking a competitive advantage in today's marketing scenario and consumer behaviour analysis. Various case studies presented across these papers illustrate real-world applications whereby companies successfully leveraged big data to align their strategies to consumer expectations, which also drives growth and customer satisfaction.
Published by: Dr. M.K. Jayanthi Kannan, Anas Khan
Author: Dr. M.K. Jayanthi Kannan
Paper ID: V10I6-1512
Paper Status: published
Published: December 29, 2024
Investing on Gold
Gold, a rare and highly valued yellow metal, has held significant cultural, economic, and technological importance throughout history. With the chemical symbol Au and atomic number 79, gold is one of the least reactive elements, making it resistant to corrosion and tarnish, which contributes to its widespread use in coins, jewellery, and other ornamental items. Historically, gold has symbolized wealth, power, and prestige, serving as a medium of exchange and a store of value. Today, it continues to play a vital role in global finance and trade, while its applications have expanded into electronics, medicine, and various technologies due to its excellent conductivity and biocompatibility. Found in nature in its native metallic form, gold is often extracted through mining and panning, frequently alongside silver, its geological counterpart. As both a commodity and a cultural symbol, gold’s enduring value remains integral to numerous industries, continuing to influence art, investment, and technological advancements.
Published by: Dr. Hasith Soysa
Author: Dr. Hasith Soysa
Paper ID: V10I6-1498
Paper Status: published
Published: December 28, 2024
Exploring the World of Cryptocurrency
Cryptocurrency represents a revolutionary shift in the world of finance, offering a decentralized, digital alternative to traditional currencies. Built on blockchain technology, cryptocurrencies ensure secure, transparent, and immutable transactions without the need for central banks or intermediaries. This journal explores the fundamentals of cryptocurrency, its underlying technology, and the potential benefits it offers, including faster transactions, lower fees, financial inclusion, and enhanced privacy. However, challenges such as price volatility, regulatory uncertainty, and misuse remain significant obstacles. By examining both the promise and the risks associated with cryptocurrencies, this guide provides a comprehensive overview of how digital currencies are shaping the future of finance.
Published by: Dr. Hasith Soysa
Author: Dr. Hasith Soysa
Paper ID: V10I6-1473
Paper Status: published
Published: December 28, 2024
An Intelligent Multi-Criteria Optimization Algorithm for Enhancing Digital Marketing Strategies
In the dynamic landscape of digital marketing, organizations face the challenge of simultaneously optimizing multiple interdependent objectives, such as maximizing audience reach, enhancing engagement, and minimizing costs. This study proposes an intelligent multi-criteria optimization algorithm that integrates the Analytic Hierarchy Process (AHP) and Genetic Algorithms (GA) to address these challenges systematically. The AHP framework establishes objective weights based on strategic priorities, while the GA iteratively refines marketing budget allocations across various channels. A simulation conducted on data for five marketing channels demonstrated that the algorithm successfully prioritized budget allocation towards the most effective channel - Social Media - achieving optimal reach (1.0), engagement (0.977), and cost efficiency (0.258). The convergence analysis revealed consistent improvements across generations, underscoring the algorithm’s ability to balance conflicting objectives effectively. Comparative analysis indicated a 15% improvement in overall campaign performance and a 10% reduction in costs compared to traditional single-objective optimization approaches. These findings suggest that the proposed algorithm provides a scalable and adaptable tool for data-driven decision-making in complex digital marketing environments.
Published by: Ndeye Siga Gueye
Author: Ndeye Siga Gueye
Paper ID: V10I6-1501
Paper Status: published
Published: December 27, 2024
The Ecology of Forest Fires
Forest fires, while often perceived as destructive forces, play a complex role in the ecology of forest ecosystems. This paper explores the dual nature of wildfires, emphasising their capacity to disrupt biodiversity and impact the environment while also facilitating ecological succession and promoting biological diversity. It examines the effects of forest fires on carbon dioxide emissions and air quality, particularly in regions like California, where human activities have intensified fire occurrences. Additionally, the paper highlights the adaptive responses of flora and fauna to fire, showcasing examples such as the serotiny of Monterey pines and the dependency of wild lupine for the endangered Karner blue butterfly. A case study on forest fires in Latin America underscores the implications of agricultural practices and deforestation on wildfire frequency and intensity. This literature review emphasises the necessity of understanding the ecological benefits of fires while addressing the challenges posed by climate change and deforestation, advocating for a balanced approach to forest management that preserves the integrity of forest ecosystems.
Published by: Ishaani Vats
Author: Ishaani Vats
Paper ID: V10I6-1492
Paper Status: published
Published: December 26, 2024
