Results 161 to 170 of about 3,948 (333)

Bi-Objective Flexible Job-Shop Scheduling Problem Considering Energy Consumption under Stochastic Processing Times. [PDF]

PLoS One, 2016
Yang X, Zeng Z, Wang R, Sun X.
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Improved Multiverse Optimization Algorithm for Fuzzy Flexible Job-Shop Scheduling Problem [PDF]

, 2023
Jincheng Fang, A-Feng Zeng, Shaofeng Zheng, Wendi Zhao, Xu He   +4 more
openalex   +1 more source

Multi-objective flexible job-shop scheduling problem using modified discrete particle swarm optimization. [PDF]

Springerplus, 2016
Huang S, Tian N, Wang Y, Ji Z.
europepmc   +1 more source

Study of Free‐Space Optical Quantum Network: Review and Prospectives

Advanced Science, EarlyView.
Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley   +1 more source

Effective Neighborhood Generation Method in Search Algorithm for Flexible Job Shop Scheduling Problem

, 2019
Aya Ishigaki, Yūki Matsui
openalex   +1 more source

Un algoritmo genético para el problema de Job Shop Flexible A genetic algorithm for the Flexible Job Shop problem

Ingeniare: Revista Chilena de Ingeniería, 2011
En este estudio se propone e implementa computacionalmente un algoritmo genético secuencial para resolver el problema del Job Shop Flexible (existente en la Gestión de Operaciones), el cual es parte de la familia de los problemas de programación de ...
Rosa Medina Durán, Lorena Pradenas Rojas, Víctor Parada Daza   +2 more
doaj  

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Multi-population genetic algorithm with ER network for solving flexible job shop scheduling problems

, 2020
Xiaoqiu Shi, Wei Long, Yanyan Li, Dingshan Deng   +3 more
openalex   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source