Search Results - "Krechowicz, Adam"

High-resolution electricity load forecasting in a university campus using deep neural networks, Kalman filtering, and self-attention.

Authors: Krechowicz, Adam Rossi, Mansueto Delfino, Federico et al.

Source: Advances in Science & Technology Research Journal; 2026, Vol. 20 Issue 5, p223-237, 15p

Assessing the performance of a Trombe wall enhanced with phase change material using deep learning.

Authors: Krechowicz, Adam Krechowicz, Maria Krasoń, Joanna et al.

Source: Scientific Reports. 11/28/2025, Vol. 15 Issue 1, p1-24. 24p.

Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources.

Authors: Krechowicz, Adam Krechowicz, Maria Poczeta, Katarzyna

Source: Energies (19961073). Dec2022, Vol. 15 Issue 23, p9146. 41p.

Reduction of the Risk of Inaccurate Prediction of Electricity Generation from PV Farms Using Machine Learning.

Authors: Krechowicz, Maria Krechowicz, Adam Lichołai, Lech et al.

Source: Energies (19961073). Jun2022, Vol. 15 Issue 11, p4006-4006. 21p.

Content-aware data distribution over cluster nodes.

Authors: Krechowicz, Adam¹ (AUTHOR) a.krechowicz@tu.kielce.pl

Source: Intelligent Data Analysis. 2021, Vol. 25 Issue 4, p907-927. 21p.

Machine learning approach to gait deviation prediction based on isokinetic data acquired from biometric sensors.

Authors: Krechowicz, Adam Deniziak, Stanisław Kaczmarski, Daniel

Source: Gait & Posture. Mar2023, Vol. 101, p55-59. 5p.

CONTENT BASED IMAGE RETRIEVAL USING MODIFIED SCALABLE DISTRIBUTED TWO-LAYER DATA STRUCTURE.

Authors: DENIZIAK, STANISLAW MICHNO, TOMASZ KRECHOWICZ, ADAM

Source: International Journal of Computer Science & Applications; Jun2016, Vol. 13 Issue 2, p106-120, 15p

Risk Assessment in Energy Infrastructure Installations by Horizontal Directional Drilling Using Machine Learning.

Authors: Krechowicz, Maria Krechowicz, Adam

Source: Energies (19961073). 1/15/2021, Vol. 14 Issue 2, p289. 1p.

Subject Terms: *Directional drilling, *Machine learning, *Risk assessment, *Artificial neural networks, *Natural gas pipelines, *Random forest algorithms

Geographic Terms: Europe

Consistent, highly throughput and space scalable distributed architecture for layered NoSQL data store.

Authors: Krechowicz A Deniziak S Łukawski G

Source: Scientific reports [Sci Rep] 2025 May 31; Vol. 15 (1), pp. 19172. Date of Electronic Publication: 2025 May 31.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE