Results 131 to 140 of about 169,825 (305)
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
The article presents the capabilities of the LETS Web system, which uses Internet of Things (IoT) technology to analyze medical data to optimize diagnostic processes.
Miroslaw Jarosz +2 more
core +1 more source
Application of decision trees in credit scoring
Banks are particularly exposed to credit risk due to the nature of their operations. Inadequate assessment of the borrower directly causes losses. The financial crisis the global economy is still going through has clearly shown what kind of problems ...
Ljiljanka Kvesić
doaj
Hierarchical Structure and Fabrication of Functionally Graded Biointerfaces in the Mussel Byssus
The byssus is a fibrous protein‐based holdfast consisting of mechanically distinct interfaces, which mussels use to anchor their soft living tissue to hard seashore surfaces. Here, multiscale methodologies were used to elucidate the compositional and structural features underlying these functionally graded interfaces and how they are fabricated through
Lucia Youssef +4 more
wiley +1 more source
Cost-Sensitive Decision Tree with Multiple Resource Constraints [PDF]
Resource constraints are commonly found in classification tasks. For example, there could be a budget limit on implementation and a deadline for finishing the classification task.
Chia-Chi WU, Kwei TANG, Yen-Liang CHEN
core
This study presents a new biodegradable coating for titanium implants using a natural antimicrobial peptide, caerin 1.9. Applied via solvent casting, the coating offers sustained antibacterial protection and promotes healing. Tested on 3D‐printed porous titanium scaffolds, it effectively prevented infection—including against resistant bacteria—while ...
Hejie Li +7 more
wiley +1 more source
This study addresses the challenge of generating accurate and compact oblique decision trees using self-adaptive differential evolution algorithms. Although traditional decision tree induction methods create explainable models, they often fail to achieve
Rafael Rivera-López +3 more
doaj +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Tie-breaking in Hoeffding trees
A thorough examination of the performance of Hoeffding trees, state-of-the-art in classification for data streams, on a range of datasets reveals that tie breaking, an essential but supposedly rare procedure, is employed much more than expected.
Pfahringer, Bernhard +2 more
core
Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring
Schematic overview of the fruit growth sensor development workflow, including sensor fabrication by injection molding, electromechanical and environmental characterization, mechanical stability testing, electronic readout integration, and outdoor field validation for monitoring of fruit growth under practical orchard conditions.
Asad Ullah +7 more
wiley +1 more source

