Results 121 to 130 of about 662,098 (274)
Algebraic Aspects of Crossing Cubic BE-Algebras
Recently, interval-valued fuzziness and negative structures have gained popularity among researchers and have been widely used in algebraic structures such as semigroups, rings, and lattices. The crossing cubic structure (CC) is an expansion of a bipolar
Noor Bani Abd Al-Rahman +2 more
doaj +1 more source
Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang +6 more
wiley +1 more source
Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple +2 more
wiley +1 more source
ANALYSIS OF FUZZY QUEUES: PARAMETRIC PROGRAMMING APPROACH BASED ON RANDOMNESS - FUZZINESS CONSISTENCY PRINCIPLE [PDF]
In this article, based on Zadeh’s extension principle we have apply the parametric programming approach to construct the membership functions of the performance measures when the interarrival time and the service time are fuzzy numbers based on the ...
Dhruba Das, Hemanta K. Baruah
doaj
Bona Fide Intersegmental Plane Hepatectomy Along the Glissonean Branches (BIPHG)
ABSTRACT This review traces the author's personal journey over three decades in the evolution of liver resection techniques, culminating in the proposal of the Bona Fide Intersegmental Plane Hepatectomy Along Glissonean Branches (BIPHG). Beginning with pioneering experiences in laparoscopic and robotic liver surgeries, the author highlights key ...
Go Wakabayashi, Taiga Wakabayashi
wiley +1 more source
Fuzzy Optimisation of Structural Performance
Structural performance has become a fundamental concept in advanced engineering design in construction. Basic criteria concerning the action effects and imposed performance requirements are analysed assuming two types of uncertainties: randomness and ...
M. Holický
doaj
Statistics is the science of data based decision-making, in almost every field of life. The classical statistics require large datasets for the optimal inference about the parameters and testing. On the other hand, to obtain a suitable inference based on
Saqib Waheed +4 more
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Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source

