A Compact Self-Triplexing Antenna for Head Implants
Published in: IEEE Transactions on Antennas and Propagation
Jul 01, 2024
M Al-Hasan
IB Mabrouk
Amjad Iqbal
denidni
This paper introduces a novel self-triplexing implantable antenna designed to operate in head implants. It works at three distinct frequency bands: 403 MHz on Port 1, 915 MHz on Port 2, and 1410 MHz on Port 3. The antenna design incorporates a high-permittivity laminate and triangular meandered resonators, which extend the current path and enable significant miniaturization. The resulting antenna occupies a volume of only 8 mm × 12.5 mm × 0.3 mm (30 mm3). An ultra-thin substrate of 0.3 mm is ut...
Unmasking deepfakes: Advances in fake video detection
Published in: Revue d'Intelligence Artificielle
Jul 01, 2024
Deepfakes, hyper-realistic synthetic media created using artificial intelligence, pose a growing threat to trust in information and online interactions, serious challenge to the integrity of digital content. This paper delves into the evolving landscape of deepfake detection. Our primary objectives are analyzing the techniques used to detect fake videos, tracing their development alongside the advancements in deep learning that enable increasingly sophisticated deepfakes, assessing societal imp...
Malware Detection with Subspace Learning-based One-Class Classification
Published in: IEEE Access
Jun 05, 2024
Detecting malware is crucial for ensuring the security of computer systems. Traditional machine learning models face challenges in effectively detecting malware, mainly due to the class imbalance problem, where the number of malware samples is significantly smaller than that of non-malware samples. Additionally, malware’s dynamic and evolving nature, continuously altering its structure and tactics, presents a substantial challenge for conventional artificial intelligence algorithms, further com...
Exploring Ai Innovations in Automated Software Source Code Generation: Progress, Hurdles, And Future Paths
Published in: Informatica
Jun 01, 2024
Artificial Intelligence (AI), as one of the most important fields of computer science, plays a significant role in the software development life cycle process, especially in the implementation phase, where developers require considerable effort to convert software requirements and design into code. Automated Code Generation (ACG) using AI can help in this phase. Automating the code generation process is becoming increasingly popular as a solution to address various software development challeng...
Comparative study of IoT forensic frameworks
Published in: Forensic Science International: Digital Investigation
Jun 01, 2024
Haroon Mahmood
Maliha Arshad
Irfan Ahmed
Sana Fatima
Hafeez ur Rehman
Internet of Things (IoT) systems often consist of heterogeneous, resource-constrained devices that generate massive amounts of data. This data is important for assessments, behaviour analysis, and decision-making. However, IoT devices are also susceptible to cyber-attacks, such as information theft, personal device intervention, and privacy invasion. In case of an incident, these devices are subject to digital forensic investigation to identify and analyze crimes and misuse. Over the years, sev...