Ahmed Saifullah Sami - Academia.edu (original) (raw)
Papers by Ahmed Saifullah Sami
Qubahan Academic Journal, 2021
With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are con... more With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are constantly producing a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the energy and storage spaces of the end devices are strictly constrained. self-organization and short-range Internet of Things (IoT) networking also support outsourced data and cloud computing, independent of the distinctive resource constraint properties. For the remainder of the findings, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. The delivery of cloud computing is highly efficient, storage is becoming more and more current, and some groups are now altering their data from in house records Cloud Computing Vendors' hubs. Intensive IoT applications for workloads and data are subject to challenges while utilizing cloud computing tools. In this report, we research IoT and cloud computing and address cloud-compatible problems and co...
Journal of Intelligent Systems, 2022
Segmentation of the medical image plays a significant role when it comes to diagnosis using compu... more Segmentation of the medical image plays a significant role when it comes to diagnosis using computer aided system. This article focuses on the human corneal endothelium’s health, which is one of the filed research interests, especially in the human cornea. Various pathological environments fasten the extermination of the endothelial cells, which in turn decreases the cell density in an abnormal manner. Dead cells worsen the hexagonal design. The mutilated endothelial cells can no longer revive back and that gives room for neighbouring cells to migrate and expand so that they can fill in the space. The latter results in cell elongation that is unpredictable as well as increase in size and thinning. Cell density and shape are therefore considered major parameters when it comes to explaining the health condition attributed to corneal endothelium. In this study, medical feature extraction was obtained depending on the segmentation of the endothelial cell boundary, and the task of segmen...
This paper provides a detailed analysis of the existent methods and approaches utilized in medica... more This paper provides a detailed analysis of the existent methods and approaches utilized in medical image segmentation. Also integrate a comparative study of the automated brain tumor coupled through the utilization of tuomr detection techniques. Additionally, the paper will provide an analysis of the process integrated pertaining to the retrieval of brain images through the identification of the specific data sets selected in the process to identify the stipulated features., [1]maintains that the utilization of a computeraided diagnosis in medical imaging influences the decision-making capacity of specialists in the provision of accurate images pertaining to the existent volume and distance. Also maintains that the detection of brain ailments remains difficult among radiologists and neurologists due to the existence of similar brain abnormalities. The existence variances influence the level of difficulties experienced pertaining to the tasks due to the existence of differential diag...
Qubahan Academic Journal, 2021
With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets constan... more With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets constantly produce a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the end devices' energy, and storage spaces are strictly constrained by Self-organization and microorganisms. IoT networks enable out-sourced data collection and cloud storage irrespective of the resource-constrained nature of the IoT. For the next segment of observations, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. Cloud computing delivery is highly efficient, storage is becoming more and more current, and some groups are now altering their data from in-house records Cloud Computing Vendors' hubs. Intensive IoT applications for workloads and data are subject to challenges while utilizing cloud computing tools. In this paper, we research IoT and cloud computing and address cloud-compatible problems and computing techniques to promote IoT programs' stable transition to the Cloud.
Qubahan Academic Journal, 2021
With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are con... more With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are constantly producing a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the energy and storage spaces of the end devices are strictly constrained. self-organization and short-range Internet of Things (IoT) networking also support outsourced data and cloud computing, independent of the distinctive resource constraint properties. For the remainder of the findings, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. The delivery of cloud computing is highly efficient, storage is becoming more and more current, and some groups are now altering their data from in house records Cloud Computing Vendors' hubs. Intensive IoT applications for workloads and data are subject to challenges while utilizing cloud computing tools. In this report, we research IoT and cloud computing and address cloud-compatible problems and co...
Journal of Intelligent Systems, 2022
Segmentation of the medical image plays a significant role when it comes to diagnosis using compu... more Segmentation of the medical image plays a significant role when it comes to diagnosis using computer aided system. This article focuses on the human corneal endothelium’s health, which is one of the filed research interests, especially in the human cornea. Various pathological environments fasten the extermination of the endothelial cells, which in turn decreases the cell density in an abnormal manner. Dead cells worsen the hexagonal design. The mutilated endothelial cells can no longer revive back and that gives room for neighbouring cells to migrate and expand so that they can fill in the space. The latter results in cell elongation that is unpredictable as well as increase in size and thinning. Cell density and shape are therefore considered major parameters when it comes to explaining the health condition attributed to corneal endothelium. In this study, medical feature extraction was obtained depending on the segmentation of the endothelial cell boundary, and the task of segmen...
This paper provides a detailed analysis of the existent methods and approaches utilized in medica... more This paper provides a detailed analysis of the existent methods and approaches utilized in medical image segmentation. Also integrate a comparative study of the automated brain tumor coupled through the utilization of tuomr detection techniques. Additionally, the paper will provide an analysis of the process integrated pertaining to the retrieval of brain images through the identification of the specific data sets selected in the process to identify the stipulated features., [1]maintains that the utilization of a computeraided diagnosis in medical imaging influences the decision-making capacity of specialists in the provision of accurate images pertaining to the existent volume and distance. Also maintains that the detection of brain ailments remains difficult among radiologists and neurologists due to the existence of similar brain abnormalities. The existence variances influence the level of difficulties experienced pertaining to the tasks due to the existence of differential diag...
Qubahan Academic Journal, 2021
With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets constan... more With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets constantly produce a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the end devices' energy, and storage spaces are strictly constrained by Self-organization and microorganisms. IoT networks enable out-sourced data collection and cloud storage irrespective of the resource-constrained nature of the IoT. For the next segment of observations, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. Cloud computing delivery is highly efficient, storage is becoming more and more current, and some groups are now altering their data from in-house records Cloud Computing Vendors' hubs. Intensive IoT applications for workloads and data are subject to challenges while utilizing cloud computing tools. In this paper, we research IoT and cloud computing and address cloud-compatible problems and computing techniques to promote IoT programs' stable transition to the Cloud.