Results 31 to 40 of about 37,633,914 (99)

Nail Toxicities Associated With Anticancer Therapies in Children

JEADV Clinical Practice, EarlyView.
ABSTRACT Nail toxicities are a frequent yet often underrecognized component of dermatologic adverse events in children receiving anticancer therapies. Both conventional cytotoxic chemotherapy and newer targeted agents can affect the nail matrix, nail bed and periungual tissues, producing a broad spectrum of clinical manifestations that range from ...
Luca Rapparini, Michela Starace
wiley   +1 more source

Department of Computer Science newsletter Fall 2023

, 2023
A Newsletter for Friends and Supporters of the Mines Computer Science ...

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

Department of Computer Science newsletter 2022

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

core  

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

DiffPost: Filtering non-relevant content based on content difference between two consecutive blog posts

, 2009
10.1007/978-3-642-00958-7_87Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)5478 LNCS791 ...
Seung-Hoon Na, Na, S.-H., Lee, Y., Jong-Hyeok Lee, Lee, J.-H., Na S.-H, Nam, S.-H., Lee Y, Lee J.-H., Sang-Hyob Nam, Nam S.-H, Yeha Lee   +11 more
core   +1 more source

ACARP: Auto correct activity recognition rules using process analysis toolkit (PAT) [PDF]

, 2012
10.1007/978-3-642-30779-9_23Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)7251 LNCS182 ...
Liu, Y, Sim, K., Biswas, J., Jiaqi Zhu, Zhu, J, Lee, V.Y., Zhu, J., Phua, C., Mounir Mokhtari, Sim, K, Clifton Phua, Phua, C, Xian Zhang, Jin Song Dong, Liu, Y., Zhang, X., Kelvin Sim, Zhang, X, Yan Liu, Biswas, J, Mokhtari, M, Jit Biswas, Lee, VY, Mokhtari, M., Dong, JS, Dong, J.S., Vwen Yen Lee   +26 more
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