output
20022026
most citedGeneralised framework for multi-criteria method selection

531 citations

61 papers

cond-mat.mtrl-sci2026★ 1 cited

Near-Atomic-Scale Compositional Complexity in a 2D Transition Metal Oxide

Mathias Krämer, Bar Favelukis, J. Manoj Prabhakar +5

2D materials hold transformative promise for next-generation nanoelectronics. However, successfully integrating these materials from laboratory-scale discoveries into real-world de…

physics.app-ph2025★ 7 cited

Silica-coated admixtures of bismuth and gadolinium oxides for 3D printed concrete applications: Rheology, hydration, strength, microstructure, and radiation shielding perspective

Pawel Sikora, Szymon Skibicki, Mehdi Chougan +10

This study examines the impact of replacing up to 5 vol% of Portland cement (PC) with both pristine Bi2O3/Gd2O3 (BG) and silica-coated BG particles. Two different types of silica c…

cs.SI2024★ 2 cited

The role of conformity in opinion dynamics modelling with multiple social circles

Stanisław Stępień, Jarosław Jankowski, Piotr Bródka +1

Interaction with others influences our opinions and behaviours. Our activities within various social circles lead to different opinions expressed in various situations, groups, and…

math.OC2022

Solving the time-optimal control problem for nonlinear non-autonomous linearizable systems

Katerina V. Sklyar, Svetlana Yu. Ignatovich

We present the conditions under which the time-optimal control problem for a nonlinear non-autonomous linearizable system can be solved by the method of successive approximations,…

math.OC2021

On the extension of battys theorem on the semigroup asymptotic stability

Grigory M. Sklyar, Piotr Polak, Bartosz Wasilewski

The well-known Batty's theorem states that if a -semigroup is bounded and the spectrum of the generator is contained in the open left-half plane of , th…

cs.SI2021★ 11 cited

Habituation Effect in Social Networks as a Potential Factor Silently Crushing Influence Maximisation Efforts

Jaroslaw Jankowski

Information spreading processes are a key phenomenon observed within real and digital social networks. Network members are often under pressure from incoming information with diffe…

cs.GR2021★ 5 cited

Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features

Luca Surace, Marek Wernikowski, Cara Tursun +3

A foveated image can be entirely reconstructed from a sparse set of samples distributed according to the retinal sensitivity of the human visual system, which rapidly decreases wit…

cond-mat.mtrl-sci2020★ 30 cited

Comparing Multi-Walled Carbon Nanotubes and Halloysite Nanotubes as Reinforcements in EVA Nanocomposites

Agata Zubkiewicz, Anna Szymczyk, Piotr Franciszczak +3

The influence of carbon multi-walled nanotubes (MWCNTs) and halloysite nanotubes (HNTs) on the physical, thermal, mechanical, and electrical properties of EVA (ethylene vinyl aceta…

cond-mat.mtrl-sci2020★ 6 cited

Magnetic properties of poly(trimethylene terephthalate-block-poly(tetramethylene oxide) copolymer nanocomposites reinforced by graphene oxide-Fe3O4 hybrid nanoparticles

Anna Szymczyk, Sandra Paszkiewicz, Janusz Typek +4

Thermoplastic elastomeric nanocomposites based on poly(trimethylene terephthalate-block-poly(tetramethylene oxide) copolymer (PTT-PTMO) and graphene oxide-Fe3O4 nanoparticle hybrid…

physics.app-ph2020★ 42 cited

Few layer graphene from mechanical exfoliation of graphite based materials. Structure-dependent characteristics

Azhar A. Pirzado, Francois Le Normand, Thierry Romero +4

We present a high scale method to produce few layer graphene (FLG) based on the mechanical exfoliation of graphite and compare the obtained FLG with the one reported earlier arisin…

cs.SI2020★ 16 cited

Effective Influence Spreading in Temporal Networks with Sequential Seeding

Radosław Michalski, Jarosław Jankowski, Piotr Bródka

The spread of influence in networks is a topic of great importance in many application areas. For instance, one would like to maximise the coverage, limiting the budget for marketi…

cs.SI2020★ 17 cited

Sequential seeding in multilayer networks

Piotr Bródka, Jarosław Jankowski, Radosław Michalski

Multilayer networks are the underlying structures of multiple real-world systems where we have more than one type of interaction/relation between nodes: social, biological, compute…

physics.app-ph2020★ 35 cited

Filled Carbon Nanotubes as Anode Materials for Lithium-Ion Batteries

Elisa Thauer, Alexander Ottmann, Philip Schneider +18

Downsizing well-established materials to the nanoscale is a key route to novel functionalities, in particular if different functionalities are merged in hybrid nanomaterials. Hybri…

cs.HC2019★ 53 cited

A gradual approach for maximising user conversion without compromising experience with high visual intensity website elements

Jarosław Jankowski, Juho Hamari, Jarosław Wątróbski

The study develops and tests a method that can gradually find a sweet spot between user experience and visual intensity of website elements to maximise user conversion with minimal…

cs.SI2019★ 2 cited

From the Hands of an Early Adopter's Avatar to Virtual Junkyards: Analysis of Virtual Goods' Lifetime Survival

Kamil Bortko, Patryk Pazura, Juho Hamari +2

One of the major questions in the study of economics, logistics, and business forecasting is the measurement and prediction of value creation, distribution, and lifetime in the for…

cs.SI2019★ 60 cited

Interacting spreading processes in multilayer networks

Piotr Bródka, Katarzyna Musial, Jarosław Jankowski

The world of network science is fascinating and filled with complex phenomena that we aspire to understand. One of them is the dynamics of spreading processes over complex networke…

astro-ph.EP2019★ 17 cited

The shape of (7) Iris as evidence of an ancient large impact?

J. Hanuš, M. Marsset, P. Vernazza +35

Asteroid (7) Iris is an ideal target for disk-resolved imaging owing to its brightness (V7-8) and large angular size of 0.33 arcsec during its apparitions. Iris is believed t…

eess.SP2018★ 3 cited

Hardware-Efficient Structure of the Accelerating Module for Implementation of Convolutional Neural Network Basic Operation

Aleksandr Cariow, Galina Cariowa

This paper presents a structural design of the hardware-efficient module for implementation of convolution neural network (CNN) basic operation with reduced implementation complexi…

cs.AI2018★ 531 cited

Generalised framework for multi-criteria method selection

Jarosław Wątróbski, Jarosław Jankowski, Paweł Ziemba +2

Multi-Criteria Decision Analysis (MCDA) methods are widely used in various fields and disciplines. While most of the research has been focused on the development and improvement of…

cs.SI2018★ 16 cited

Probing Limits of Information Spread with Sequential Seeding

Jaroslaw Jankowski, Boleslaw K. Szymanski, Przemyslaw Kazienko +2

We consider here information spread which propagates with certain probability from nodes just activated to their not yet activated neighbors. Diffusion cascades can be triggered by…

math.CA2018

Uncertainty product of the spherical Gauss-Weierstrass wavelet

Ilona Iglewska-Nowak

In this paper, asymptotic behavior of the uncertainty product of Gauss-Weierstrass wavelet is investigated. It is shown that the uncertainty product is bounded from above, a featur…

math.CA2018

A continuous spherical wavelet transform for~

Ilona Iglewska-Nowak

In the present paper, a wavelet family over the -dimensional sphere is constructed such that for each scale the wavelet is a polynomial and the inverse wavelet transform of a co…

math.CA2018

On the uncertainty product of spherical functions

Ilona Iglewska-Nowak

The uncertainty product of a function is a quantity that measures the trade-off between the space and the frequency localization of the function. Its boundedness from below is the…

math.FA2018

Spin weighted wavelets on the sphere

Ilona Iglewska-Nowak

In the present paper, a construction of spin weighted spherical wavelets is presented. It is based on approximate identities, the wavelets are defined for a continuous set of param…