Combining Artificial Intelligence and Image Processing for Diagnosing Diabetic Retinopathy in Retinal Fundus Images

Retinopathy is an eye disease caused by diabetes, and early detection and treatment can potentially reduce the risk of blindness in diabetic retinopathy sufferers. Using retinal Fundus images, diabetic retinopathy can be diagnosed, recognized, and treated. In the current state of the art, sensitivity and specificity are lacking. However, there are still a number of problems to be solved in state-of-the-art techniques like performance, accuracy, and being able to identify DR disease effectively with greater accuracy. In this paper, we have developed a new approach based on a combination of image processing and artificial intelligence that will meet the performance criteria for the detection of disease-causing diabetes retinopathy in Fundus images. Automatic detection of diabetic retinopathy has been proposed and has been carried out in several stages. The analysis was carried out in MATLAB using software-based simulation, and the results were then compared with those of expert ophthalmologists to verify their accuracy. Different types of diabetic retinopathy are represented in the experimental evaluation, including exudates, micro-aneurysms, and retinal hemorrhages. The detection accuracies shown by the experiments are greater than 98.80 percent

Importance and Barriers of Establishing Educational/Training Programs in Electric Vehicles/Hybrid-Electric Vehicles in Jordan

Jordan has set priority plans to mitigate climate change impacts, where Jordan moves towards low emissions by promoting the Electric Vehicle and Hybrid-Electric Vehicle (EV/HEV) market. Therefore, there will be a pressing need for professionals in the field of maintenance and design of EV/HEVs. Accordingly, surveys were conducted to address the market needs in Jordan. The surveys targeted main stakeholders from different geographical locations in Jordan. This study was concerned with project partners, Academic staff, and students from eight universities located in Balqa’a, Irbid, Al-Karak, Tafilah, and the capital city Amman. The responses obtained are from 8, 140, and 799 project partners, academic staff, and students, respectively. The results, including surveys on teaching and training facilities, are analyzed and discussed. In conclusion, this study presents a crucial foundation for three specialized diploma programs (vocational diploma, technical diploma, and higher diploma) and a bachelor program tailored to Jordan’s EV/HEV market needs. Through a deliberate alignment of the curriculum with the evolving demands of the EV/HEV sector, the diploma programs will foster graduates who hold the essential knowledge and skills to excel in this rapidly expanding field. Furthermore, the programs address the distinct competencies and expertise that the local market requires, ensuring that graduates are well prepared to meet industry needs. The significance of this work serves as a bridge between academia and the market, resulting in graduates who possess the knowledge and skills, that are highly sought after by prospective employers