Abstract: Video surveillance has become a critical component in today's world. With developments in advanced systems have been developed as a result of the precision and efficacy of deep learning, machine learning, and artificial intelligence to identify and identify questionable activities while live image monitoring is taking place. Because human behavior is fundamentally unpredictable, it can be difficult to judge whether an action is suspicious or typical. Human activities and behaviors were divided into two categories in this study: suspicious and normal. Suspicious activities include sprinting, boxing, or fighting, whereas normal activities include sitting, strolling, jogging, and waving their hands. Convolutional neural networks are used to achieve this classification (CNNs). High-level features are first extracted from the photos by the CNN. The convolutional network's classification is then applied, and the final prediction is informed by the outcomes of the final pooling layer.
Large language models (LLMs) are increasingly deployed in user-facing applications, which exposes them to prompt injection and jailbreak attacks that override system instructions, exfiltrate data, or elicit disallowed behaviour. Existing defences are largely single-mechanism: a r…
This paper develops a machine learning framework for detecting and predicting liquidity sweep events in XAUUSD using event-based market microstructure analysis. Using 15-minute data from 2014–2024, the study formalizes liquidity sweeps as a binary classification problem evaluated…
The importance of power transformers in electrical power systems cannot be overstated, as their failures can lead to considerable economic losses and disruptions. The typical malfunctions encountered by a power transformer comprise dielectric issues, thermal losses due to copper…
Early detection of disease is a cornerstone for improving patient outcomes, reducing costs, and enabling preventative interventions. Traditional predictive models often rely on a single type of data (e.g., imaging, clinical labs, or genomics). However, human health is inherently…
Preparing examination question papers manually is a time-consuming and challenging task for educators. Faculty members must ensure balanced syllabus coverage, appropriate marks distribution, and proper assessment of students across different cognitive levels. Manual preparation o…
Organizations often receive hundreds of resumes for a single job opening, making manual candidate screening slow and difficult to manage. Conventional recruitment methods generally depend on keyword matching or manual evaluation, both of which may overlook qualified applicants be…