Abstract: This paper describes a fresh IDS framework that utilizes CNN and BiGRU and Multi-Head Attention techniques to develop an improved deep learning approach for network protection from changing ...

Abstract: This research aims to enhance the ability of computers to classify emotional states from brain signals using EEG data. Emotions are complex mental states that can significantly affect a ...

Abstract: The inherent volatility of the stock market has challenged investors in seeking reliable predictive models. This paper presents a hybrid deep learning model that combines bidirectional long ...

Abstract: The growing prevalence of internet usage has led to a substantial capacity in textual data. Text classification is an essential field in natural language processing (NLP). It differs in ...

Abstract: Financial fraud is a growing concern in digital transactions, with traditional fraud detection systems struggling to keep up with evolving fraudulent tactics. This study proposes a hybrid ...

Abstract: Encrypted traffic classification, which aims to identify application-layer semantics without decrypting packet pay-loads, has emerged as a pivotal challenge in modern network intelligence ...

Abstract: Intracranial hemorrhage (ICH) refers to bleeding within the brain, a global concern that underscores the im-portance of early detection. ICH is typically detected using computed tomography ...

Abstract: Modeling of nonlinear loads is crucial for analyzing and evaluating power quality in modern power system. To further enhance both accuracy and robustness, a novel data-driven nonlinear load ...

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...

Abstract: The rapid adoption of electric vehicles (EVs) has resulted in considerable issues in the management of charging stations, especially in forecasting charging demand and optimising energy ...

She’s gotta do what she’s gotta doo doo. A Manhattan model recently crowned the “Poop Fairy” is taking matters into her own hands after the recent snow melting revealed piles of dog crap littering the ...

Abstract: Stroke detection from medical imaging, which is essential for early diagnosis and prompt intervention, greatly impacts patient outcomes. In this study, provide a technique that uses ...