Results 161 to 170 of about 14,367,683 (357)
Power quality disturbance identification using hybrid deep learning in renewable energy systems. [PDF]
Peruman PM, Ayyar K.
europepmc +1 more source
‘High power and excellent beam quality rod Yb: YAG regenerative amplifier’paper data
Luo Guangxin +4 more
openalex +1 more source
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst +4 more
wiley +1 more source
Hybrid AI and semiconductor approaches for power quality improvement. [PDF]
Chinthaginjala R +5 more
europepmc +1 more source
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu +8 more
wiley +1 more source
Robust Federated-Learning-Based Classifier for Smart Grid Power Quality Disturbances. [PDF]
Alsabaan M +6 more
europepmc +1 more source
Harmonic Mitigation using Hybrid Power Filter to Improve Power Quality
Mrs. Prajkta R Gangurde +3 more
openalex +2 more sources
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha +4 more
wiley +1 more source

