Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Massimiliano Ferrara"'
Autor:
Lakshmanaraj Ramya, Chakkarapani Sumathi Thilagasree, Thippan Jayakumar, Antony Kishore Peter, Emelia Akashah P. Akhir, Massimiliano Ferrara, Ali Ahmadian
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-27 (2024)
Abstract Plastic recycling has become more important than ever as the globe struggles with growing environmental issues. This research explores the significant environmental impact of recycling plastic and its growing relevance. The pervasive materia
Externí odkaz:
https://doaj.org/article/9ad07a689e56490c946082ced9c1d1e3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract To identify patterns in big medical datasets and use Deep Learning and Machine Learning (ML) to reliably diagnose Cardio Vascular Disease (CVD), researchers are currently delving deeply into these fields. Training on large datasets and produ
Externí odkaz:
https://doaj.org/article/de6c13eb9f5b489ba7d2b1fb9f4f6f9d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Advances in sensor, computing, and communication technologies are enabling big data analytics by providing time series data. However, conventional models struggle to identify sequence features and forecast accuracy. This paper investigates t
Externí odkaz:
https://doaj.org/article/1662bdbd4e184b1ab1edf8716da642a8
Autor:
Massimiliano Ferrara
Publikováno v:
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, Vol 102, Iss 2, p A4 (2024)
In this paper we consider a lattice with a fundamental cell composed of two triangles and two trapezoids in the presence of some obstacles and we determine the probability p that a random segment with uniform and random distribution of constant lengt
Externí odkaz:
https://doaj.org/article/29fb31dd14b5457197e8825f1e6e3ea7
Autor:
M. Touqeer, Sajeela Fatima, Hafizan Mat Som, Anas A. Salameh, Saad Alahmari, Meshal Shutaywi, Massimiliano Ferrara, Ali Ahmadian
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102799- (2024)
Intuitionistic fuzzy set theory provides a versatile framework for conveying information acquired during the decision-making process, particularly adept at handling indeterminate data. This study aims to devise a robust α-cut approach for intuitioni
Externí odkaz:
https://doaj.org/article/1a28c3dd3b6e43f0b8ea74ccc67bacdc
Autor:
Thirumalai Nallasivan Parthasarathy, Samayan Narayanamoorthy, Chakkarapani Sumathi Thilagasree, Palanivel Rubavathi Marimuthu, Soheil Salahshour, Massimiliano Ferrara, Ali Ahmadian
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102272- (2024)
An adaptation to electric mobility quickens waste management tasks for recyclers to end-to-end processing of marketed electric vehicle batteries. Especially lithium-ion batteries play a prominent role in electrifying the world for e-transport technol
Externí odkaz:
https://doaj.org/article/cd3a68225a18415e895aba1d08ab9dea
Autor:
Ashok Kumar Yadav, Karan Singh, Noreen Izza Arshad, Massimiliano Ferrara, Ali Ahmadian, Yehya I. Mesalam
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101918- (2024)
As radio access technologies, processing speeds, and multimode interfaces of low-powered portable devices continue to advance, the future of wireless communication is envisioned to offer pervasive network coverage, high data rates, and a wide spectru
Externí odkaz:
https://doaj.org/article/905246839a0a46a0ad8bc8e860785df1
Publikováno v:
Energies, Vol 17, Iss 15, p 3663 (2024)
This paper deals with the optimal scheduling of the resources of a renewable energy community, whose coordination is aimed at providing flexibility services to the electrical distribution network. The available resources are renewable generation unit
Externí odkaz:
https://doaj.org/article/ef68ba9318b04a4c8351eec29717059a
Autor:
Jeonghwan Jeon, Suvitha Krishnan, Thangaraj Manirathinam, Samayan Narayanamoorthy, Mohammad Nazir Ahmad, Massimiliano Ferrara, Ali Ahmadian
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)
Abstract The probabilistic hesitant elements (PHFEs) are a beneficial augmentation to the hesitant fuzzy element (HFE), which is intended to give decision-makers more flexibility in expressing their biases while using hesitant fuzzy information. To e
Externí odkaz:
https://doaj.org/article/bab354bf95b4437fb876b29a1a2e872a
Autor:
Tiziana Ciano, Massimiliano Ferrara
Publikováno v:
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, Vol 102, Iss 1, p A1 (2024)
In this work we propose new proofs of some classical results of nonlinear programming milestones, in particular for the Kuhn-Tucker conditions and Lagrangian methods and functions. This study is concerned with some interesting features found in the w
Externí odkaz:
https://doaj.org/article/7fe6a07409924c68933a264d7b298e7f