Results 71 to 80 of about 31,030 (241)

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Application of the arithmetic optimization algorithm to the phase-balancing problem in three-phase asymmetric distribution networks

Tecnura
Objective: This article presents the application of the arithmetic optimization algorithm (AOA) to the phase balancing problem in three-phase asymmetric distribution systems. The algorithm is implemented in MATLAB and its performance is compared with the
Nelson Omero Tique Tique, Juan Camilo Castillo Sáenz, Oscar Danilo Montoya Giraldo   +2 more
doaj   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Synchronization control strategy in multi-layer and multi-axis systems based on the combine cross coupling error

Advances in Mechanical Engineering, 2017
Considering the variety of coupling errors and disturbances in multi-layer and multi-axis control systems, a novel control multi-layer and multi-axis strategy for structure is proposed in this article.
Jie Xu, Huacai Lu, Xufeng Liu
doaj   +1 more source

Deep Learning Scooping Motion using Bilateral Teleoperations

, 2018
We present bilateral teleoperation system for task learning and robot motion generation. Our system includes a bilateral teleoperation platform and a deep learning software.
Harada, Kensuke, Ochi, Hitoe, Pan, Jia, Wan, Weiwei, Yamanobe, Natsuki, Yang, Yajue   +5 more
core   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

Dynamic compensation of active and reactive power in distribution systems through PV-STATCOM and metaheuristic optimization

Results in Engineering
This article presents a heuristic methodology to address the operation problem of PV-STATCOMs, focusing on the dynamic compensation of active and reactive power to minimize daily energy losses and costs associated with purchasing energy in distribution ...
Juan David Combita-Murcia, Camilo Andrés Romero-Salcedo, Oscar Danilo Montoya, Diego Armando Giral-Ramírez   +3 more
doaj   +1 more source

Bi-Level Game Optimal Operation of Integrated Energy System Considering Carbon Trading and Green Certificates Uncertainty [PDF]

Dianli jianshe
[Objective] Integrated energy systems （IESs） face multiple challenges in carbon and green certificate trading markets. Existing scheduling models have difficulty in balancing the dynamics of economic returns with low-carbon objectives and lack effective ...
GONG Yongguo, ZENG Linjun, CHEN Jian, YAN Qin, LI Yuhao, XU Jiani
doaj   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

AI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source