Zobrazeno 1 - 10
of 511
pro vyhledávání: '"Isabel de la Torre"'
Autor:
Muhammad Mujahid, EROL Kına, Furqan Rustam, Monica Gracia Villar, Eduardo Silva Alvarado, Isabel De La Torre Diez, Imran Ashraf
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-32 (2024)
Abstract The classification of imbalanced datasets is a prominent task in text mining and machine learning. The number of samples in each class is not uniformly distributed; one class contains a large number of samples while the other has a small num
Externí odkaz:
https://doaj.org/article/ebc193eee4c148639cb2c008dd48baf6
Autor:
Muhammad Mujahid, Furqan Rustam, Rahman Shafique, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Diez, Imran Ashraf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Malaria is an extremely malignant disease and is caused by the bites of infected female mosquitoes. This disease is not only infectious among humans, but among animals as well. Malaria causes mild symptoms like fever, headache, sweating and
Externí odkaz:
https://doaj.org/article/d3bb4cf82c844575a76542d2d0ef0f87
Autor:
Attique ur Rehman, Songfeng Lu, Muhammad Awais Ashraf, Muhammad Shahid Iqbal, Awais khan Nawabi, Farhan Amin, Rashid Abbasi, Isabel de la Torre, Santos Gracia Villar, Luis Alonso Dzul Lopez, Md. Belal Bin Heyat
Publikováno v:
PeerJ Computer Science, Vol 10, p e2309 (2024)
In recent years, the Internet of Things (IoT) has become one of the most familiar names creating a benchmark and scaling new heights. IoT an indeed future of the communication that has transformed the objects (things) of the real world into smarter d
Externí odkaz:
https://doaj.org/article/8edba6ef011d47b891d197f79f292df8
Autor:
Md Belal Bin Heyat, Faijan Akhtar, Farwa Munir, Arshiya Sultana, Abdullah Y. Muaad, Ijaz Gul, Mohamad Sawan, Waseem Asghar, Sheikh Muhammad Asher Iqbal, Atif Amin Baig, Isabel de la Torre Díez, Kaishun Wu
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5883-5915 (2024)
Abstract Depression is a multifactorial disease with unknown etiology affecting globally. It’s the second most significant reason for infirmity in 2020, affecting about 50 million people worldwide, with 80% living in developing nations. Recently, a
Externí odkaz:
https://doaj.org/article/8b3b5cdc40b24f46a63abaa9e95bfc57
Autor:
Abdu Salam, Faizan Ullah, Farhan Amin, Izaz Ahmad Khan, Eduardo Garcia Villena, Angel Kuc Castilla, Isabel de la Torre
Publikováno v:
PeerJ Computer Science, Vol 10, p e2171 (2024)
Background Cancer remains one of the leading causes of mortality globally, with conventional chemotherapy often resulting in severe side effects and limited effectiveness. Recent advancements in bioinformatics and machine learning, particularly deep
Externí odkaz:
https://doaj.org/article/486161efdff142aab5cb96863ad71d56
Autor:
Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Diez, Md Abdus Samad, Imran Ashraf
Publikováno v:
IEEE Access, Vol 12, Pp 138086-138120 (2024)
For organizing and analyzing massive amounts of data and revealing hidden patterns and structures, clustering is a crucial approach. This paper examines unique strategies for rapid clustering, highlighting the problems and possibilities in this area.
Externí odkaz:
https://doaj.org/article/00e813ce82604f7fb8eaf533769628c6
Autor:
Rosmeri Martinez-Licort, Carlos de la Cruz Leon, Deevyankar Agarwal, Benjamin Sahelices, Isabel de la Torre, Jose Pablo Miramontes-Gonzalez, Mohammed Amoon
Publikováno v:
IEEE Access, Vol 12, Pp 134635-134650 (2024)
Breast cancer poses a global health challenge, with high incidence and mortality rates. Early detection and precise diagnosis are crucial for patient prognosis. Machine learning (ML) models applied to mammary biopsy image data hold promise for achiev
Externí odkaz:
https://doaj.org/article/50a98aea735c454a93ca8d94068a26fa
Autor:
Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad
Publikováno v:
IEEE Access, Vol 12, Pp 73950-73969 (2024)
Humans can carry various diseases, some of which are poorly understood and lack comprehensive solutions. Such a disease can exists in human eye that can affect one or both eyes is diabetic retinopathy (DR) which can impair function, vision, and event
Externí odkaz:
https://doaj.org/article/4724fe80282d4635b1c8cd53eb1a236f
Publikováno v:
IEEE Access, Vol 12, Pp 67641-67664 (2024)
The purpose of this paper is to study the integrated effect of Lean Six Sigma practices, dynamic capabilities, and Industry 4.0 adoption on sustainable competitive advantage. This paper studies and evaluates different effects to give support to indus
Externí odkaz:
https://doaj.org/article/301bd12a26b549bc91b3af400ab6191c
Autor:
Tajim Md. Niamat Ullah Akhund, Zaffar Ahmed Shaikh, Isabel De La Torre Diez, Manal Gafar, Deep H. Ajabani, Osama Alfarraj, Amr Tolba, Henry Fabian-Gongora, Luis Alonso Dzul Lopez
Publikováno v:
IEEE Access, Vol 12, Pp 45265-45278 (2024)
This work presents a groundbreaking approach with a fusion of the Internet of Sensing Things (IoST) and Robotics. This system utilizes four flex sensors strategically placed on the most flexible fingers across both hands to control a Six-DoF robotic
Externí odkaz:
https://doaj.org/article/44bd66ec027f42d987df34db580592b1