Results 71 to 80 of about 35,838 (299)
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
A folic acid (FA)‐conjugated 2‐deoxyglucose dendrimer selectively targets FRβ+ macrophages in endometriotic lesions, enabling precise intracellular delivery of niclosamide. This nonhormonal nanomedicine enhances drug solubility, provides controlled intracellular release, suppresses lesion growth, reduces inflammation and pain, and establishes FRβ ...
Anubhav Dhull +11 more
wiley +1 more source
A branch and bound algorithm for the maximum clique problem
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Department of Industrial and Systems Engineering Weil Hall, University of Florida, Gainesville, FL 32611 U.S.A. ( host institution ) +2 more
openaire +2 more sources
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
A Genetic Algorithm to Minimize the Total Tardiness for M-Machine Permutation Flowshop Problems
The m-machine, n-job, permutation flowshop problem with the total tardiness objective is a common scheduling problem, known to be NP-hard. Branch and bound, the usual approach to finding an optimal solution, experiences difficulty when n exceeds 20. Here,
Chia-Shin Chung +3 more
doaj +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
A Branch and Bound Algorithm for Agile Earth Observation Satellite Scheduling
The agile earth observing satellite scheduling (AEOSS) problem consists of scheduling a subset of images among a set of candidates that satisfy imperative constraints and maximize a gain function.
Xiaogeng Chu, Yuning Chen, Lining Xing
doaj +1 more source
MULTIMODAL MICROSCOPY IMAGE ALIGNMENT USING SPATIAL AND SHAPE INFORMATION AND A BRANCH-AND-BOUND ALGORITHM. [PDF]
Chen S +5 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Efficient Solutions for Multi-criteria Sequencing Problem by Using Modified Algorithm
For multi criteria sequencing problem on one machine, we propose a modified branch and bound algorithm (MBAB) to find efficient (pareto optimal) solutions in this paper.
Adawiya A. Mohmood, Wasfaa E. Ahmed
doaj +1 more source

