Results 21 to 30 of about 3,096,343 (252)

Dual-Layer Drift Detection and Adaptive Retraining for Ultra-Short-Term Photovoltaic Power Forecasting

Energies
In operational environments, photovoltaic (PV) forecasting models progressively degrade due to drift events induced by changing environmental conditions, system aging, and surface soiling.
Shuo Cao, Si Gao, Jianbo Qi, Xihan Mu, Donghui Xie, Wenjing Liu, Guangjian Yan   +6 more
doaj   +1 more source

Severity-Aware Drift Adaptation for Cost-Efficient Model Maintenance

AI
Objectives: This paper introduces an adaptive learning framework for handling concept drift in data by dynamically adjusting model updates based on the severity of detected drift.
Khrystyna Shakhovska, Petro Pukach
doaj   +1 more source

On the relationship between the velocity of E-region HF echoes and E B plasma drift [PDF]

, 2005
International audienceIn this study, velocities of E-region HF echoes observed by the Stokkseyri HF radar are compared with ExB plasma drifts in the F-region measured by the DMSP satellites.
D. W. Danskin, Koustov, A. V., J. D. Gorin, Makarevitch, R. A., Gorin, J. D., A. V. Koustov, R. A. Makarevitch, Danskin, D. W.   +7 more
core   +2 more sources

One or two things we know about concept drift—a survey on monitoring in evolving environments. Part A: detecting concept drift

Frontiers in Artificial Intelligence
The world surrounding us is subject to constant change. These changes, frequently described as concept drift, influence many industrial and technical processes.
Fabian Hinder, Valerie Vaquet, Barbara Hammer   +2 more
doaj   +1 more source

Concept Drift Detection in Data Stream Mining: The Review of Contemporary Literature [PDF]

, 2017
Mining process such as classification, clustering of progressive or dynamic data is a critical objective of the information retrieval and knowledge discovery; in particular, it is more sensitive in data stream mining models due to the possibility of ...
B. Ramakrishna
core  

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift

Frontiers in Artificial Intelligence
In an increasing number of industrial and technical processes, machine learning-based systems are being entrusted with supervision tasks. While they have been successfully utilized in many application areas, they frequently are not able to generalize to ...
Fabian Hinder, Valerie Vaquet, Barbara Hammer   +2 more
doaj   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

Rapidrift: Elementary Techniques to Improve Machine Learning-Based Malware Detection

Computers, 2023
Artificial intelligence and machine learning have become a necessary part of modern living along with the increased adoption of new computational devices.
Abishek Manikandaraja, Peter Aaby, Nikolaos Pitropakis   +2 more
doaj   +1 more source