Titlebook: Advanced Network Technologies and Intelligent Computing; Third International Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce

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Sustainable Natural Gas Price Forecasting with DEEPARa frequency and nonlinear fluctuation features cause challenges to reliable predictions. A novel natural gas price prediction model, the Optimized DeepAR model, is proposed to address this challenge. This model combines a deep auto-regressive neural network (DeepAR) with grid search optimization (GS

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异常

Multi-domain Feature Extraction Methods for Classification of Human Emotions from Electroencephalogrsearchers from areas like medicine, psychology, computer science, etc., contributing to the cause. Recognizing human emotions through the electroencephalogram signal is a trending topic nowadays. Neurological studies on multiple physiological datasets like DEAP, SEED, etc., have contributed to devel

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Enhancing Speech Quality Using Spectral Subtraction and Time-Frequency FilteringAD) is most commonly used. SS-VAD works well for moderate background noise conditions but deteriorates for low signal-to-noise-ratio (SNR) signal due to resulting residual noise consisting of musical tones. To address this issue, we introduce a novel approach called SS-time-frequency (SS-TF) filteri

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BILK

Dynamische Sicht der Organisationsgestaltungverse machine learning models, aiming to uncover classification method strengths and weaknesses. Ensemble methods like Stacking and Voting achieve an impressive 82.69% test accuracy, with Extra Trees excelling in precision, Logistic Regression in recall, and CatBoost maintaining balanced performance