Roobaea Alroobaea
Biographic Data
| ID | 7896340 |
|---|---|
| NAME | Roobaea Alroobaea |
| GIVEN NAMES | Roobaea |
| FAMILY NAME | Alroobaea |
| SIGNATURE | ALROOBAEA R |
| AFFILIATIONS | Taif University |
| ORCID | 0000-0003-1585-2962 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Multichannel DenseNet Architecture for Classification of Mammographic Breast Density for Breast Cancer Detection
Percentage mammographic breast density (MBD) is one of the most notable biomarkers. It is assessed visually with the support of radiologists with the four qualitative Breast Imaging Reporting and Data System (BIRADS) categories. It is demanding for radiologists to differentiate between the two variably allocated BIRADS classes, namely, “BIRADS C and BIRADS D.” Recently, convolution neural networks have been found superior in classification tasks …
An Artificial Intelligence Approach Toward Food Spoilage Detection and Analysis
Aiming to increase the shelf life of food, researchers are moving toward new methodologies to maintain the quality of food as food grains are susceptible to spoilage due to precipitation, humidity, temperature, and a variety of other influences. As a result, efficient food spoilage tracking schemes are required to sustain food quality levels. We have designed a prototype to track food quality and to manage storage systems at home. Initially, we h…
An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items
In the pandemic of COVID-19, it is crucial to consider the hygiene of the edible and nonedible things as it could be dangerous for our health to consume infected things. Furthermore, everything cannot be boiled before eating as it can destroy fruits and essential minerals and proteins. So, there is a dire need for a smart device that could sanitize edible items. The Germicidal Ultraviolet C (UVC) has proved the capabilities of destroying viruses …
Latent Profile Analysis to Survey Positive Mental Health and Well-Being
Our results complement person-centered studies (LPA/LCA) related to the COVID-19 pandemic and can serve researchers and mental health practitioners in both diagnostic and intervention phases for the public. In addition, the GQ6 scale is a valid and reliable tool that can be administered to measure gratitude for culturally similar populations
An IoT Framework for Screening of Covid-19 Using Real-Time Data from Wearable Sensors
Experts have predicted that COVID-19 may prevail for many months or even years before it can be completely eliminated. A major problem in its cure is its early screening and detection, which will decide on its treatment. Due to the fast contactless spreading of the virus, its screening is unusually difficult. Moreover, the results of COVID-19 tests may take up to 48 h. That is enough time for the virus to worsen the health of the affected person.…
No prominent works on this page.
An IoT Framework for Screening of Covid-19 Using Real-Time Data from Wearable Sensors
Experts have predicted that COVID-19 may prevail for many months or even years before it can be completely eliminated. A major problem in its cure is its early screening and detection, which will decide on its treatment. Due to the fast contactless spreading of the virus, its screening is unusually difficult. Moreover, the results of COVID-19 tests may take up to 48 h. That is enough time for the virus to worsen the health of the affected person.…
Multichannel DenseNet Architecture for Classification of Mammographic Breast Density for Breast Cancer Detection
Percentage mammographic breast density (MBD) is one of the most notable biomarkers. It is assessed visually with the support of radiologists with the four qualitative Breast Imaging Reporting and Data System (BIRADS) categories. It is demanding for radiologists to differentiate between the two variably allocated BIRADS classes, namely, “BIRADS C and BIRADS D.” Recently, convolution neural networks have been found superior in classification tasks …
An Artificial Intelligence Approach Toward Food Spoilage Detection and Analysis
Aiming to increase the shelf life of food, researchers are moving toward new methodologies to maintain the quality of food as food grains are susceptible to spoilage due to precipitation, humidity, temperature, and a variety of other influences. As a result, efficient food spoilage tracking schemes are required to sustain food quality levels. We have designed a prototype to track food quality and to manage storage systems at home. Initially, we h…
An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items
In the pandemic of COVID-19, it is crucial to consider the hygiene of the edible and nonedible things as it could be dangerous for our health to consume infected things. Furthermore, everything cannot be boiled before eating as it can destroy fruits and essential minerals and proteins. So, there is a dire need for a smart device that could sanitize edible items. The Germicidal Ultraviolet C (UVC) has proved the capabilities of destroying viruses …
Latent Profile Analysis to Survey Positive Mental Health and Well-Being
Our results complement person-centered studies (LPA/LCA) related to the COVID-19 pandemic and can serve researchers and mental health practitioners in both diagnostic and intervention phases for the public. In addition, the GQ6 scale is a valid and reliable tool that can be administered to measure gratitude for culturally similar populations
Computer Science (4 works) · Medicine (4 works) · Biology (2 works) · Coronavirus disease 2019 (COVID-19 (2 works) · Food Science (2 works) · Food Supply Chain Traceability (2 works) · Advanced Chemical Sensor Technologies (1 work) · AI in cancer detection (1 work) · Architecture (1 work) · Arduino (1 work)