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Titlebook: Advances in Computational Intelligence and Informatics; Proceedings of ICACI Raghavendra Rao Chillarige,Salvatore Distefano,San Conference

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Leveraging Bidirectional Encoder Representations from Transformers (BERT) for Enhanced Sentiment An. Sentiment analysis models can now capture complex emotions and context, thanks to BERT‘s contextual understanding and cutting-edge machine learning techniques like transfer learning. We group models according to domains and learning paradigms and then display their results. By bridging the gap bet
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Securing the Future of Connected Cars: Investigating Vulnerabilities and Preventing Cyberattacks,s popularity has come with a significant downside: the growing threat of cyberattacks. This research provides a comprehensive analysis of the various types of attacks that connected cars are vulnerable to, such as remote access, denial-of-service, and malware attacks. The study also examines the met
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Smart Surveillance Using OpenCV,d their property. Many different sensors are used in video surveillance cameras in modern security systems. This initiative seeks to provide you with suggestions on how to make sure that your property is protected and secure. When this technology recognizes an unfamiliar face from a photograph of an
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Hyperspectral Band Selection Considering Spectral and Spatial Information,hyperspectral images. A hyperspectral image’s extracted features have minimal physical relevance; however, the chosen features (or bands) can maintain the original spectral information. As a result, band selection is increasingly frequently utilized for hyperspectral images. In this article, we offe
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Hybrid Method for Discovering DDOS Attack, connection requests that prevent the genuine user from accessing the system. To train a model for the purpose of identifying and categorizing the various kinds of DDoS attacks, this paper aims to design a hybrid algorithm that combines several machine learning techniques. Comparing the hybrid model
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A Novel Chaotic Map-Based Noise-Resistant Image Encryption Scheme for Medical Images,, medical images are crucial. The images comprise sensitive diagnostic procedures such as X-rays, ultrasounds, brain scans, and MRIs of patients. Due to insecurities in the transmission and storage of these images in hospitals, unauthorized parties may get access to them. When it comes to safeguardi
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Survey of Attacks, Detection Techniques, and Evaluation Metrics in Wireless Sensor Networks,been identified, and evaluation measurements and conventions have been developed to neutralize them. In this review study, attacks on various levels, evaluation measurements, and norms in remote organizations will be detailed. First, the article examines attacks on the real, information interface, n
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