Abstract: In the digital age, Important cybersecurity measures are demanded due to cyber threats. This paper examines the critical role of corporate accountability in cybersecurity governance, emphasizing its importance in mitigating risks and ensuring resilience against cyber incidents. It provides an overview of the cyber threat landscape and its impact on businesses, then investigates into
ABSTRACT The implementation of digital health for monitoring human health and physical activities has become one of the integral aspects of maintaining a healthy lifestyle and reducing the onset of diseases. The process of developing a physical activity monitoring system using sensors embedded in smartphones has extensive applications in elderly care, ambient assisted living, sports
ABSTRACT A ACsort of synthetic media known as “deepfakes” occurs when someone’s likeness is subtly substituted into already-existing content, with the intention of misleading the public. Deepfake photos have become more and more common in recent years, partly due to the easy-to-use, open-source programs such as FakeApp that makes it easy to generate deepfakes images
ABSTRACT Perimeter security measures are used to protect corporate networks. The perimeter security approaches are based on the principle that everything inside the network is protected and trusted by default. However, with the security threats in cloud computing platforms, Internet of Things and others, these castle-and-moat security measures are found to be deficient. Thus, a
ABSTRACT A considerable number of published research has indicated that evaluating the success of weight-loss therapy involves proper dietary examination. On the other hand, the bulk of dietary evaluation methods currently in use have favored manual memory recall. In the current study, we used an artificial neural network (ANN) machine learning algorithm to construct an
ABSTRACT Intelligent Tutoring Systems (ITSs) are an area of artificial intelligence in education that supports personalized teaching and learning. ITS allows teachers/lecturers to provide customized educational materials to the students while they learn a particular domain of knowledge at their own desired time without human intervention. This research investigated the effect of ITS on the
ABSTRACT The rise of technology has transformed the digital realm into a multifaceted space where people engage in various activities such as banking, shopping, education, and entertainment. However, this shift has also exposed users and businesses to constant threats from cybercriminals, particularly phishers, who jeopardize the safety of online interactions and pose significant risks to
ABSTRACT In this paper, with the use of transfer learning on mobile platforms, a new approach for Tomato Leaf Disease Detection (TLDD) was accomplished utilising convolutional neural networks (CNNs). Our main goal was to create a model that would enable real-time mobile diagnostics by quickly and correctly identifying diseases of tomato leaves. The base CNN
ABSTRACT Deep learning models are capable of handling large amounts of data, with a high ability to predict based on features and patterns embedded in the data. Deep learning models are severely challenged by data poisoning attacks resulting in inaccurate predictions and model misclassification. In literature, several works have been identified to mitigate it. An
ABSTRACT This study focused on the development of a classification model needed for the detection of heart diseases based on information about relevant features using a deep neural network (DNN) architecture. Data was collected from a public data repository provided by Kaggle following which the data was preprocessed and feature selection was used to select