Results 151 to 160 of about 12,557,310 (317)

Application of the Gaussian Process Regression Method Based on a Combined Kernel Function in Engine Performance Prediction. [PDF]

ACS Omega, 2022
Shi X, Jiang D, Qian W, Liang Y.
europepmc   +1 more source

Profound Leadership Strategies: Transcending the Leadership Crisis in the Age of Artificial Intelligence

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley   +1 more source

Artificial neural network based optimization of engine performance using domestic biomass as a clean fuel. [PDF]

Sci Rep
Ramalingam K, Abdullah MZ, Elumalai PV, Vellaiyan S, Muralikrishna C, Jin Z, Hasan N.   +6 more
europepmc   +1 more source

Influence of hydrogenated diesel/H₂O₂ blend fuel on diesel engine performance and exhaust emission characterization. [PDF]

Sci Rep, 2023
Moujdin IA, Khan MS, Abulkhair HA, Shaiban AA, Organji HA, Alsaiari AO.   +5 more
europepmc   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Enhancing Engine Performance and Sustainability: Gold Nanoparticles and Machine Learning for Biodiesel Optimization in Compression Ignition Systems. [PDF]

ACS Omega
Gadagi A, Bandekar S, Paramasivam S, Deshannavar UB, Rajamohan N, Adake C, Hegde PG, Gatto G.   +7 more
europepmc   +1 more source

Investigation in PO blending and compression ratio on engine performance and gas emissions including environmental health risk assessment and economic analysis. [PDF]

Environ Sci Pollut Res Int, 2023
Alawa B, Chakma S.
europepmc   +1 more source

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 more
wiley   +1 more source

Machine learning predictions for enhancing engine performance and emission using aluminum oxide nano additives in castor biodiesel. [PDF]

Sci Rep
Nachippan M, Pathmanabhan P, Nagappan B, Upadhye VJ, Kaliappan N, Balaji V, Kamakshi Priya K.   +6 more
europepmc   +1 more source

Valorization of indigenous Millettia ferruginea seed oil for biodiesel production: parametric optimization, physicochemical characterization, engine performance and emission characteristics. [PDF]

Heliyon, 2022
Ayalew LA, Tizazu BZ.
europepmc   +1 more source