Results 41 to 50 of about 1,811,419 (287)

Analyzing an efficient mix design for the production of quality asphalt concrete: A means of reducing roads’ maintenance cost

Journal of Sustainable Construction Materials and Technologies
Poor road design is the bedrock for strength deformation and formation of potholes in road pavement systems. The best choice of aggregates for asphalt concrete production contributes significantly to road pavement stability, sustainability, and ...
Akinniyi Akinjide Adelani, Oladipupo Seun Oladejo, Ademilade Olubambi, Bolanle Deborah Ikotun, Abiodun Kilani   +4 more
doaj   +1 more source

Empirical Investigation About the Factors Affecting the Cost Estimation in Global Software Development Context

IEEE Access, 2021
Software organization always aims at developing a quality software product using the estimated development resources, effort, and time. Global Software Development (GSD) has emerged as an essential tool to ensure optimal utilization of resources, which ...
Junaid Ali Khan, Saif Ur Rehman Khan, Javed Iqbal, Inayat Ur Rehman   +3 more
doaj   +1 more source

Maximum Likelihood Estimation with Emphasis on Aircraft Flight Data [PDF]

, 1985
Accurate modeling of flexible space structures is an important field that is currently under investigation. Parameter estimation, using methods such as maximum likelihood, is one of the ways that the model can be improved.
Iliff, K. W., Maine, R. E.
core   +1 more source

Motion estimation with object based regularisation [PDF]

, 1996
A dynamic programming based matching method for motion estimation, that optimises a Bayesian maximum likelihood function in a 3-D optimisation space, is presented.
Cosmas, J, Panis, S
core   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Evaluation of Earned Value Management-Based Cost Estimation via Machine Learning

Buildings
Accurate estimation of construction costs is of foremost importance in construction management processes. Considering the changes and unexpected situations, cost estimations should be revised during the construction process.
Gamze Yalçın, Savaş Bayram, Hatice Çıtakoğlu   +2 more
doaj   +1 more source

Calculating the Expected Value of Sample Information using Efficient Nested Monte Carlo: A Tutorial [PDF]

, 2018
Objective: The Expected Value of Sample Information (EVSI) quantifies the economic benefit of reducing uncertainty in a health economic model by collecting additional information.
Baio, Gianluca, Heath, Anna
core   +1 more source

Accelerating gravitational wave parameter estimation with multi-band template interpolation [PDF]

, 2017
Parameter estimation on gravitational wave signals from compact binary coalescence (CBC) requires the evaluation of computationally intensive waveform models, typically the bottleneck in the analysis.
Mandel, Ilya, Veitch, John, Vinciguerra, Serena   +2 more
core   +3 more sources

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source