Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Hammad Afzal"'
Publikováno v:
IEEE Access, Vol 12, Pp 65942-65955 (2024)
Sentiment Analysis, a crucial tool for analyzing user opinions, has shown efficacy particularly when tailored to specific domains. While existing research predominantly focuses on training various classifiers for sentiment analysis within the softwar
Externí odkaz:
https://doaj.org/article/9090e4da66c046809e5c2a6a31ef4d83
Autor:
Taher Ali Al-Shehari, Domenico Rosaci, Muna Al-Razgan, Taha Alfakih, Mohammed Kadrie, Hammad Afzal, Raheel Nawaz
Publikováno v:
IEEE Access, Vol 12, Pp 34820-34834 (2024)
In today’s interconnected world, cybersecurity has emerged as a critical domain for ensuring the integrity, confidentiality, and availability of digital assets. Within this sphere, insider threats represent a unique and particularly insidious class
Externí odkaz:
https://doaj.org/article/bb6e661b84fb4509977c185e7c9c513f
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0300279 (2024)
Software engineers post their opinions about various topics on social media that can be collectively mined using Sentiment Analysis. Analyzing this opinion is useful because it can provide insight into developers' feedback about various tools and top
Externí odkaz:
https://doaj.org/article/b3765eb1e0d64db0b042e599ce849797
Autor:
Naureen Zainab, Hammad Afzal, Taher Al-Shehari, Muna Al-Razgan, Naima Iltaf, Muhammad Zakria, Muhammad Javed Hyder, Raheel Nawaz
Publikováno v:
IEEE Access, Vol 11, Pp 127637-127650 (2023)
Citrus canker is among the major plant diseases caused by Xanthomonas citri which affects the quality and quantity of citrus fruit. This results in the reduction of citrus production which causes a huge financial loss and livelihood of the farming co
Externí odkaz:
https://doaj.org/article/0a40f73e916d42e69e4fdccf4c079bbe
Autor:
Muhammad Anwar, Muhammad Asif Saleem, Ma Dan, Waqas Malik, Sami Ul-Allah, Muhammad Qadir Ahmad, Abdul Qayyum, Muhammad Waqas Amjid, Zia Ullah Zia, Hammad Afzal, Muhammad Asif, Muhammad Aneeq Ur Rahman, Zhangli Hu
Publikováno v:
Saudi Journal of Biological Sciences, Vol 29, Iss 1, Pp 444-452 (2022)
Climate change could be an existential threat to many crops. Drought and heat stress are becoming harder for cultivated crops. Cotton in Pakistan is grown under natural high temperature and low moisture, could be used as a source of heat and drought
Externí odkaz:
https://doaj.org/article/9549066e0b33438c954351566d2337ae
Autor:
Imran Shafi, Anum Fatima, Hammad Afzal, Isabel de la Torre Díez, Vivian Lipari, Jose Breñosa, Imran Ashraf
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2196 (2023)
Artificial intelligence has made substantial progress in medicine. Automated dental imaging interpretation is one of the most prolific areas of research using AI. X-ray and infrared imaging systems have enabled dental clinicians to identify dental di
Externí odkaz:
https://doaj.org/article/5ee2113b905f46cead250963a540f220
Autor:
Sahrish Muneer, Hammad Afzal Kayani, Kashif Ali, Ehtesham Asif, Raheela Rehmat Zohra, Furqan Kabir
Publikováno v:
Journal of Biosafety and Biosecurity, Vol 3, Iss 1, Pp 22-27 (2021)
Background: Laboratory biosafety is currently a major global issue in clinical research and academic laboratories. To alleviate these concerns, subject-specific education of standardized laboratory practices is essential and should be delivered in a
Externí odkaz:
https://doaj.org/article/0770f0d6ec4443468a414608527b85f3
Autor:
Yumna Adnan, Syed Muhammad Adnan Ali, Muhammad Sohail Awan, Nida Zahid, Muhammad Ozair Awan, Hammad Afzal Kayani, Hasnain Ahmed Farooqui
Publikováno v:
Clinical Medicine Insights: Oncology, Vol 16 (2022)
Introduction: Oral squamous cell carcinoma (OSCC) is one of the highest-ranking cancers among both genders in Pakistan. Obesity is linked to a much higher risk for developing multiple cancer types. Individuals with Diabetes mellitus (DM) face an incr
Externí odkaz:
https://doaj.org/article/32e61c75bcc94dbb8a43b2c1ef58360c
Autor:
Anum Fatima, Imran Shafi, Hammad Afzal, Khawar Mahmood, Isabel de la Torre Díez, Vivian Lipari, Julien Brito Ballester, Imran Ashraf
Publikováno v:
Healthcare, Vol 11, Iss 3, p 347 (2023)
Automated dental imaging interpretation is one of the most prolific areas of research using artificial intelligence. X-ray imaging systems have enabled dental clinicians to identify dental diseases. However, the manual process of dental disease asses
Externí odkaz:
https://doaj.org/article/c2afea9250d34e1a9176b9288f0eed05
Publikováno v:
Sensors, Vol 22, Iss 24, p 9775 (2022)
In today’s world, mental health diseases have become highly prevalent, and depression is one of the mental health problems that has become widespread. According to WHO reports, depression is the second-leading cause of the global burden of diseases
Externí odkaz:
https://doaj.org/article/c767aef450d842c4b27f78acfe7a335e