Enhancement Of Pre-Trained Deep Learning Models To Improve Brain Tumor Classification
Published in: Informatica
Oct 01, 2023
The early detection of brain tumors is crucial due to their highly dangerous nature and the potential for life-threatening consequences if left undiagnosed. Brain tumors significantly shorten life expectancy and cause extensive damage. To accurately diagnose brain tumors, medical imaging techniques such as MRI and other diagnostic tests play a vital role in the classification process. Artificial intelligence, specifically deep learning and computer vision, offers valuable techniques fo...
AI-enabled framework for mobile network experimentation leveraging ChatGPT: Case study of channel capacity calculation for η-µ fading and co-channel interference
Published in: Electronics
Sep 29, 2023
Dragana Krstic
Nenad Petrovic
Suad Suljovic
Issam Al-Azzoni
Artificial intelligence has been identified as one of the main driving forces of innovation in state-of-the-art mobile and wireless networks. It has enabled many novel usage scenarios, relying on predictive models for increasing network management efficiency. However, its adoption requires additional efforts, such as mastering the terminology, tools, and newly required steps of data importing and preparation, all of which increase the time required for experimentation. Therefore, we aimed to au...
THE IMPLICATIONS OF CONVERSION FOR THE CONVERTED PUBLIC JOINT STOCK COMPANIES
Published in: Corporate Law and Governance Review
Sep 15, 2023
The phenomenon of company conversion is on the rise, both in the United Arab Emirates (UAE) and Jordan. This study aims to investigate the concept of conversion and examine the implications it has on the converted company. We explore the continuity of the converted company’s legal personality and discuss its significant outcomes, whether affecting the converted company itself or others involved. Specifically, we analyze the impact of the conversion on the company’s pre-conversion obligations, l...
Smart Contracts and Blockchain-Based Tools for Privacy-Preservation
Published in: Studies in Big Data
Sep 01, 2023
zina houhamdi
Belkacem Athamena
Ghaleb El Refae
This research paper aims to investigate smart contracts and Blockchain technology to build a privacy-sensitive application focusing on a Digital Medication Plan (DMR) containing prescriptions. The DMR is used just as a use case. However, the proposed model applies to any context where confidential information is shared and authentication or proof of validity is necessary. We start by presenting the problem to understand the necessity of digitalizing the medication plans and how Blockchain techn...