Results 31 to 40 of about 36,270,671 (149)

IGA‐POLLM: An Improved Genetic Algorithm for Prompt Optimization in Materials Literature Information Extraction

Materials Genome Engineering Advances, EarlyView.
An improved genetic algorithm is developed to automatically optimize prompts for materials literature information extraction. For corrosion‑inhibitor papers, IGA‑POLLM framework achieves an F1 score of 0.857, outperforming expert‐crafted prompts and randomly sampled prompts.
Hengju Xiang, Suyu Jin, Zhongheng Fu, Guangxuan Song, Jiamin Pei, Zewei Gu, Tian Zhang, Wenxuan Fan, Qiuji Wang, Dawei Zhang   +9 more
wiley   +1 more source

Department of Computer Science newsletter 2022

, 2022
A Newsletter for Friends and Supporters of the Mines Computer Science Department.

core  

A Physics‐Informed Koopman Operator Framework for Decentralized Discrete‐Time Sequential Control of a Modular Aerial Parcel Delivery Robot

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper presents a Physics‐Informed Koopman Operator (PIKO) framework integrated with a discrete‐time Sequential Action Control (SAC) for real‐time, decentralized control of a modular aerial parcel delivery robot composed of multiple independently actuated propeller modules.
Archit Krishna Kamath, Peng Shi, Ramesh K. Agarwal   +2 more
wiley   +1 more source

Autonomous management and control of sensor network-based applications [PDF]

, 2009
Paper presented at the 2nd International Workshop on Adaptation in Wireless Sensor Networks (AWSN-09), in conjunction with The 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC 2009), August 29 - 31, 2009, Vancouver ...
R. Tynan, Ruzzelli, Antonio G., O'Hare, G. M. P. (Greg M. P.), Campana, Tiziana, C. Muldoon, A. Schoofs, T. Campana, G.M.P. O'Hare, Muldoon, Conor, Schoofs, Anthony, Tynan, Richard, O\u27Hare, G. M. P. (Greg M. P.), A.G. Ruzzelli   +12 more
core   +1 more source

Fault Diagnosis in an Induction‐Motor‐Driven Rotating Machinery Test Rig Under Unseen Operating Loads Using Multimodal Fusion and Multiagent Deep Reinforcement Learning

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley   +1 more source

Exact and Approximate Models to Obtain Average Throughput of the FDDI MAC Protocol - Part I: Symmetric Systems

, 1994
Computer Communications174251 ...
Ranai, K., Deng, R.H., DENG, Robert H., LIM, K. S., Lim, K.S.   +4 more
core   +1 more source

Type driven development of concurrent communicating systems [PDF]

, 2017
This work was kindly supported by SICSA (the Scottish Informatics and Computer Science Alliance) and EPSRC grant EP/N024222/1 (Type-driven Verification of Communicating Systems).Modern software systems rely on communication, for example mobile ...
Brady, Edwin Charles
core   +1 more source

Long‐term outcomes of haploidentical hematopoietic stem cell transplantation with antithymocyte globulin–based myeloablative conditioning in pediatric refractory or relapsed non‐Hodgkin lymphoma

Pediatric Investigation, EarlyView.
Single‐center retrospective data showed that ATG‐based myeloablative haploidentical hematopoietic stem cell transplantation provides durable remission and favorable long‐term survival in children with refractory/relapsed non‐Hodgkin lymphoma, achieving high engraftment rates, low relapse incidence, and acceptable toxicity.
Chenguang Jia, Jie Zheng, Meng Yuan, Hongbo He, Yibo Fan, Bin Wang, Guanghua Zhu, Jun Yang, Yanhui Luo, Lixiao Cai, Pan Zhang, Yanlong Duan, Maoquan Qin   +12 more
wiley   +1 more source

Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation

Strategic Management Journal, EarlyView.
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi, Daniella Laureiro‐Martinez, Federico Magni, Stefano Brusoni   +3 more
wiley   +1 more source

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source