Results 171 to 180 of about 982,398 (277)
This review summarizes the latest progress in transforming renewable bamboo resources into high‐value functional materials. It emphasizes how to leverage bamboo's multiscale hierarchical structures to realize innovative applications in energy, construction, environment, and medicine, providing key insights for developing high‐performance bio‐based ...
Yuxiang Huang +13 more
wiley +1 more source
Intelligent resource allocation in internet of things using random forest and clustering techniques. [PDF]
Derakhshanfard N +3 more
europepmc +1 more source
Probiotic‐Based Materials as Living Therapeutics
Recent advances in Engineered Living Materials are highlighted, integrating synthetic biology and advanced materials, with a focus on probiotic‐based therapeutics. Probiotic Living Materials hold great potential for biosensing, infection treatment, osteogenesis, wound healing, vaginal and gastrointestinal disorders, and cancer therapy. breakthroughs in
Laura Sabio +2 more
wiley +1 more source
Optimized IoT protocol stack for seamless smart home communication using Random Forest-based interoperability analysis. [PDF]
Sriram A +3 more
europepmc +1 more source
A Data-Driven Revolution in Performance Management: Harnessing the Power of Random Forest Algorithm
Sunil Basnet
openalex +1 more source
Biological and biologically‐inspired functional nanostructures with structural, thermal, optical, and sensing applications are reviewed. The role of nanoscale features in biological materials on performance is described, and their blueprints are used for bio‐inspired nanomaterials, synthesized using advanced techniques (i.e., photolithography, bio ...
Chao Hsuan (Joseph) Sung +15 more
wiley +1 more source
Evolving Differential evolution method with random forest for prediction of Air Pollution
Rubal Rubal, Dinesh Kumar
openalex +1 more source
Synthesizer: Chemistry‐Aware Machine Learning for Precision Control of Nanocrystal Growth
A new, data‐efficient approach to CsPbBr3 nanocrystal optimization combines chemical and physical insights with a Gaussian Process‐based machine learning algorithm. Implementation of the “Synthesizer” enables nm‐precise tuning of the emission wavelength while reducing experimental load in optimizing peak narrowness and photoluminescence quantum yield ...
Nina A. Henke +11 more
wiley +1 more source
Random forest forecasting of time to failure for Granite hydraulic fracturing using acoustic emission signals. [PDF]
Hooper MP, Xie AY, Li BQ.
europepmc +1 more source
Rapid solidification in laser additive manufacturing facilitates the precipitation of metastable phases in aluminum alloys. These metastable phases significantly enhance the strength by forming a high‐volume fraction of precipitates with an order of magnitude reduced sizes and smaller interspacing, effectively impeding dislocation motion. Consequestly,
S. Mohadeseh Taheri‐Mousavi +10 more
wiley +1 more source

