Results 221 to 230 of about 267,347 (270)
Deep Learning-Enabled Multi-Omics Integration: A New Frontier in Precise Drug Target Discovery. [PDF]
Ren Y, Bai H, Wang J, Yang Y, Wang Y.
europepmc +1 more source
DL-Reg: A deep learning regularization technique using linear regression
Maryam Dialameh +4 more
openaire +1 more source
Photothermal CO2 Hydrogenation: Reactions, Mechanisms, and Catalyst Design
Reactions, mechanisms, and catalyst design for photothermal CO2 hydrogenation. ABSTRACT Photothermal CO2 hydrogenation has attracted extensive attention because it provides a green and sustainable approach to fuel and chemicals production. The photothermal catalyst plays a critical role in CO2 conversion through a range of reactions.
Shuai Yan +15 more
wiley +1 more source
Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture. [PDF]
Pal AK, Patro BDK, Chaube S.
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Comparative evaluation of deep learning models for cardiovascular disease diagnosis and classification. [PDF]
Bhia I, Soltanizadeh S, Shafik W.
europepmc +1 more source
Ultrasonic sensors are evaluated for their applicability in dynamic gas–liquid systems. By comparing sensor data with two independent optical reference methods, their robustness and reliability are demonstrated under varying flow conditions and tray geometries in column systems.
Niklas Breuer +2 more
wiley +1 more source
Multimodal MRI-based two-stage artificial intelligence framework for renal fibrosis classification in chronic kidney disease. [PDF]
Li X +9 more
europepmc +1 more source
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source

