Fuzzy logic and deep learning approach for automated white blood cell detection and classification via multi-CNN feature fusion. [PDF]
Ullah T +6 more
europepmc +1 more source
The image illustrates the journey of catalyst engineering across scales, emphasizing the design, shaping, and manufacturing of technical catalysts. It highlights how hierarchical structuring bridges properties and process innovation, showcasing the continuum between fundamental science and industrial practice that defines modern catalyst engineering ...
Ali M. Alkadhem +6 more
wiley +1 more source
Multilingual voice-enabled informatics tools: Catalyst for equitable AI in HIV and HIV-comorbidity healthcare management. [PDF]
Oluwagbemi OO +6 more
europepmc +1 more source
Abstract Biodiesel production from waste cooking oil (WCO) has emerged owing to growing interest in sustainable energy sources. Geopolymers synthesized from industrial wastes, such as blast furnace slag (BFS), are promising catalysts because of their environmental benefits and catalytic properties.
Pascal Mwenge +3 more
wiley +1 more source
Hybrid fuzzy-MPC based multi-objective control strategy for fast charging of electric vehicles with advanced battery thermal management and renewable grid support. [PDF]
Yadav IC, Bajpai RS, Gupta S, Shukla A.
europepmc +1 more source
Quantum medicine: A quantum–mechanical framework for redox biology, disease and precision medicine
Quantum medicine integrates quantum simulation, experimental validation and clinical data into a unified QEC pipeline. Quantum algorithms compute electronic and spin‐level properties of redox biology, which are validated by quantum sensing and structural biology and translated into precision diagnostics and therapy through multi‐omics and quantum ...
Ji‐Yong Sung, Jae‐Ho Cheong
wiley +1 more source
A multi-criteria approach to ESG-based portfolio optimization incorporating historical performance, forward-looking insights, and credibilistic CVaR: a case study on the DJIA. [PDF]
Taheripour E, Sadjadi SJ, Amiri B.
europepmc +1 more source
This study develops a deep adversarial reinforcement learning framework for dynamic technology transfer risk assessment. The research outcome DAGAN‐MORL has a misjudgment rate 6.3%, a delay of 1.8 h, and a profit error of 7.9%, leading at the industrial level, providing intelligent support for university‐enterprise collaborative innovation. ABSTRACT As
Guojun Wang
wiley +1 more source
Adaptive fuzzy-recurrent neural network tuned fractional-order distributed control for robust frequency regulation in multi-microgrid systems. [PDF]
Kandasamy J +3 more
europepmc +1 more source

