Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Vivek Shrivastava,Lipo Wang Conference proceedings 2024 The Edito

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Agriculture Yield Forecasting via Regression and Deep Learning with Machine Learning Techniques, growth cycle. Even in distracting or unfavorable environmental conditions, crop choosing using ML-DL algorithms is particularly effective in reducing production losses in farming. This study uses DL techniques, including LSTM, i.e., Long Short-Term Memory Networks, and CNN, i.e., Convolutional Neur

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Lessons from the EUREX Workshops with legal frameworks. Despite challenges, the paper advocates for a conscientious integration of ML, emphasizing its transformative potential in healthcare and urging judicious technology amalgamation to propel advancements in patient care and clinical outcomes.

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Software Process Improvement A European Viewm. This paper enhances SMS phishing protection using machine learning advancements, demonstrating robust defense against phishing attempts, suggesting widespread integration into mobile security frameworks.

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Hassan Soubra,Alain Abran,Mehdi Sehitng advanced approaches such as sentiment analysis and topic modeling. Our analysis reveals the UK’s equitable strategy toward AI, carefully considering its advantages in comparison to its obstacles. Important regulatory topics encompass ethics, data protection, transparency, and economic advancement

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A Pastry Cook’s View on Software Measurementn field accuracy will be analyzed. To better understand progress in this field, we examine the most useful data and benchmarks used in field research. And throughout the paper we discuss recent changes and achievements such as the integration of tracking systems, the use of image-based methods, and

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