Artificial Neural Network Based Prediction of Fatigue Crack Propagation. - Konstantin N. Nechval; Nicholas A. Nechval; Gundars Berzinsh; Vadim Danovich; Maris Purgailis (Artificial Intelligence and Pattern Recognition, 2007)

Recognition of Vibration Signal Changes for Real-Time Detection of Developing Cracks in Jet Engine Rotors. - Konstantin N. Nechval; Nicholas A. Nechval; Gundars Berzinsh; Vadim Danovich; Maris Purgailis (Artificial Intelligence and Pattern Recognition, 2007)

Stochastic Fatigue Models for Efficient Planning Inspections in Service of Aircraft Structures. - Nicholas A. Nechval; Konstantin N. Nechval; Gundars Berzinsh; Maris Purgailis; Uldis Rozevskis (ASMTA, 2008)

Optimal Adaptive Inspection Planning Process in Service of Fatigued Aircraft Structures. - Konstantin N. Nechval; Nicholas A. Nechval; Gundars Berzinsh; Maris Purgailis; Uldis Rozevskis; Vladimir F. Strelchonok (ASMTA, 2009)

Invariant Embedding Technique and Its Applications for Improvement or Optimization of Statistical Decisions. - Nicholas A. Nechval; Maris Purgailis; Gundars Berzins; Kaspars Cikste; Juris Krasts; Konstantin N. Nechval (ASMTA, 2010)

Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment. - Nicholas A. Nechval; Maris Purgailis; Kaspars Cikste; Gundars Berzins; Uldis Rozevskis; Konstantin N. Nechval (ASMTA, 2010)

A New Dynamic Model for Anticipatory Adaptive Control of Airline Seat Reservation via Order Statistics of Cumulative Customer Demand. - Nicholas A. Nechval; Gundars Berzins; Vadims Danovics (IEA/AIE (1), 2017)

Adaptive Planning in-Service Inspections of Fatigued Structures in Damage Tolerance Situations via Observations of Crack Growth Process. - Nicholas A. Nechval; Gundars Berzins; Vadims Danovics (IEA/AIE (1), 2017)

Constructing unbiased prediction limits on future outcomes under parametric uncertainty of underlying models via pivotal quantity averaging approach. - Nicholas A. Nechval; Gundars Berzins; S. Balina; I. Steinbuka; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2017)

A New Technique for Education Process Optimization via the Dual Control Approach. - Nicholas A. Nechval; Gundars Berzins; Vadims Danovics; Konstantin N. Nechval (CSEDU (2), 2018)

Intelligent Planning Reliability-Based Inspections of Fatigued Structures for the Crack Initiation Period in the Weibull Case under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2018)

A New Technique for Intelligent Constructing Exact γ-content Tolerance Limits with Expected (1 - α)-confidence on Future Outcomes in the Weibull Case Using Complete or Type II Censored Data. - Nicholas A. Nechval; Konstantin N. Nechval; Gundars Berzins (Autom. Control. Comput. Sci., 2018)

A New Intelligent Technique of Constructing Optimal Airline Seat Protection Levels for Multiple Nested Fare Classes of Single-Leg Flights. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (CoDIT, 2019)

Mobile Phone Data Statistics as Proxy Indicator for Regional Economic Activity Assessment. - Irina Arhipova; Gundars Berzins; Edgars Brekis; Juris Binde; Martins Opmanis (FEMIB, 2019)

A Novel Intelligent Technique for Product Acceptance Process Optimization on the Basis of Misclassification Probability in the Case of Log-Location-Scale Distributions. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (IEA/AIE, 2019)

Intelligent Constructing Exact Statistical Prediction and Tolerance Limits on Future Random Quantities for Prognostics and Health Management of Complex Systems. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2019)

A New Technique of Intelligent Constructing Unbiased Prediction Limits on Future Order Statistics Coming from an Inverse Gaussian Distribution under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval; Juris Krasts (Autom. Control. Comput. Sci., 2019)

Huff Model for Shopping Centre Assessment using Aggregated Mobile Phone Data. - Irina Arhipova; Gundars Berzins; Aldis Erglis; Evija Ansonska; Juris Binde; Andris Kovalcuks (FEMIB, 2020)

Prototype Proposal for Profiling and Identification of TV Viewers using Watching Patterns. - Aldis Erglis; Gundars Berzins; Irina Arhipova; Artis Alksnis; Evija Ansonska (ICEIS (1), 2020)

A New Technique of Invariant Statistical Embedding and Averaging Via Pivotal Quantities for Intelligent Constructing Efficient Statistical Decisions under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2020)

Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns. - Irina Arhipova; Gundars Berzins; Edgars Brekis; Juris Binde; Martins Opmanis; Aldis Erglis; Evija Ansonska (Expert Syst. J. Knowl. Eng., 2020)

A New Unified Computational Method for Finding Confidence Intervals of Shortest Length and/or Equal Tails under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (CSCI, 2021)

Population Mobility Patterns and Monitoring of COVID-19 Restriction Measures in Latvia. - Irina Arhipova; Gundars Berzins; Aldis Erglis; Evija Ansonska; Juris Binde (FEMIB, 2021)

A New Simple Computational Method of Simultaneous Constructing and Comparing Confidence Intervals of Shortest Length and Equal Tails for Making Efficient Decisions Under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (ICICT (1), 2021)

A Novel Unified Computational Approach to Constructing Shortest-Length or Equal Tails Confidence Intervals in Terms of Pivotal Quantities and Quantile Functions. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval; Zhanna Tsaurkubule (Autom. Control. Comput. Sci., 2021)

Intelligent Constructing Efficient Statistical Decisions via Pivot-Based Elimination of Unknown (Nuisance) Parameters from Underlying Models. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval; Zhanna Tsaurkubule (Autom. Control. Comput. Sci., 2021)

Intelligent Computational Approach to Constructing Adequate Statistical Decisions under Parametric Uncertainty of Applied Stochastic Models. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (CSCI, 2022)

Socio-Economic Situation in Latvia's Municipalities in the Context of Administrative-Territorial Division and Unexpected Impact of COVID-19. - Irina Arhipova; Gundars Berzins; Aldis Erglis; Evija Ansonska; Juris Binde (J. Glob. Inf. Manag., 2022)

Optimizing Transport Network to Reduce Municipality Mobility Budget. - Irina Arhipova; Nikolajs Bumanis; Liga Paura; Gundars Berzins; Aldis Erglis; Gatis Vitols; Evija Ansonska; Vladimirs Salajevs; Juris Binde (FEMIB, 2023)

A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary Statistics. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2023)

New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2023)

Applying Text Analytics Methodology to Analyze Project Reports. - Irina Arhipova; Liga Paura; Nikolajs Bumanis; Gatis Vitols; Vladimirs Salajevs; Aldis Erglis; Gundars Berzins; Evija Ansonska (FEMIB, 2024)