Titlebook: Proceedings of World Conference on Artificial Intelligence: Advances and Applications; WCAIAA 2024 Ashish Kumar Tripathi,Darpan Anand,Atuly

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An Efficient Autoencoder-Decoder Model for Image Denoising Using Deep Convolutional Networks,ediction, etc. The primary objective is to deal with such unwanted distortions to clean the signals and images and thus form the prerequisite of any image and signal processing applications. In recent years, deep convolutional networks with proper configuration and hyper-parameter tuning have proved

resilience

Unsupervised Video Summarization Using Deep Learning Approach with Deep Feature Semantics,e movie scene. As the content of videos varies widely, making video summarizing considerably more difficult as prior knowledge is nearly inaccessible, the goal here is to provide a video summarization that is engaging to the user and accurately represents the context of content using an unsupervised

Anal-Canal

annexation

Cyber Security in Healthcare Industry: A Global Perspective,, the healthcare sector is increasingly vulnerable to cyber-attacks. It is the prime target for such incidents due to its reliance on digital technologies and the vast amount of sensitive patient data it handles. Ensuring the safety of the cyber realm, particularly in the healthcare sector, has beco

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News Headlines Sentiment Analysis Using Vectorization Techniques,viding accurate public sentiment analysis for headlines, offering valuable insights to businesses, media, and researchers. The process comprehensively examines news headlines, converting text into numerical representations for sentiment score predictions. It effectively captures the semantic meaning

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,Incorporating Small-World Characteristics into LPWAN: A Comparative Analysis, across extensive geographic regions. They play a crucial role in advancing the Internet of Things (IoT) by enhancing or even surpassing the performance of traditional cellular and short-range wireless technologies. Nevertheless, the challenges associated with a multi-hop LPWAN include increased dat

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Role of Artificial Intelligence in Forecasting Indian Stock Market: A Critical Review on Applications,examine data and make decisions, ultimately optimizing earnings. AI-based stock trading is the purchase and sale of stocks utilizing technology designed to behave like a human, resulting in increased accuracy and speed. It also assists wealth management firms in maintaining constant control over sto

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,Elevating Privacy in Recommendation Systems with Hybrid Noise in Local Differential Privacy,ocal Differential Privacy (LDP) to balance user privacy and suggestion accuracy. Focusing on matrix factorization, collaborative filtering, and multi-domain recommendation systems, the study analyzes trade-offs between suggestion accuracy and user privacy. The proposed Hybrid Noise method, incorpora

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Identification of Best Laptop Using Hybrid Modified MADM Approach,g attributes like warranty, size, battery life, specification, and others, the three approaches will be combined into two groups for the analysis. Additionally, these approaches have been evaluated using MADM assessment criteria such as Time and Space Complexity, Sensitivity Analysis, Ranking Reversal, and Relative Closeness Coefficient

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Conference proceedings 2024ial intelligence in modeling and simulation, natural language processing, brain–machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human–computer interaction, intelligent sensor, devices and applications, and intelligent database systems..