Article
Robotics
Benjamin Jarvis, Gary P. T. Choi, Benjamin Hockman, Benjamin Morrell, Saptarshi Bandopadhyay, Daniel Lubey, Jacopo Villa, Shyam Bhaskaran, David Bayard, Issa A. Nesnas
Summary: The letter presents new algorithms for global shape reconstructions of small bodies using tracking surface points, with mapping and symmetry methods to improve accuracy and consistently generate genus-0 shape models compared to other algorithms.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Multidisciplinary Sciences
Borut Zalik, Damjan Strnad, Stefan Kohek, Ivana Kolingerova, Andrej Nerat, Niko Lukac, David Podgorelec
Summary: This paper presents a new algorithm for detecting the global reflection symmetry of geometric objects, which works for various types of objects and includes three techniques to accelerate the computation. Competitive results were obtained compared to the state of the art.
Article
Computer Science, Interdisciplinary Applications
Olivier Monga, Frederic Hecht, Moto Serge, Mouad Klai, Mbe Bruno, Jorge Dias, Patricia Garnier, Valerie Pot
Summary: This paper presents a generic framework for numerical simulation of transformation-diffusion processes in complex volume geometric shapes, with significant advancements in microbial degradation simulation. By updating the valuated graph in parallel, a more efficient numerical simulation scheme was developed, which demonstrated its effectiveness through validation with results similar to classical Lattice Boltzmann Method but in significantly shorter computing time.
COMPUTERS & GEOSCIENCES
(2022)
Article
Computer Science, Software Engineering
Maximilian Reischl, Christian Knauer, Michael Guthe
Summary: The new approach proposed in this study utilizes pre-computed minimal distance fields for path finding in weighted graphs, aiming to find the shortest path by selecting the most promising minimal distance field at each node and switching between them. This method scales excellently for various topologies, graph sizes, and hardware specifications, maintaining a mean length error below 1% and reasonable memory consumption. By simplifying the structure and minimizing backtracking, the approach can be applied on massively parallel GPUs and other shared memory parallel architectures, further reducing the run time.
COMPUTERS & GRAPHICS-UK
(2022)
Article
Computer Science, Software Engineering
Stefan Pillwein, Johanna Kubert, Florian Rista, Przemyslaw Musialski
Summary: Elastic geodesic grids (EGG) are lightweight structures that approximate designer provided free-form surfaces. Decomposing surfaces into smaller patches is an effective strategy to tackle limitations with more sophisticated design surfaces. This structure is suitable for various purposes like free-form sub-structures, panels, sun and rain protectors, etc.
COMPUTERS & GRAPHICS-UK
(2021)
Editorial Material
Biology
Paul Linton, Michael J. Morgan, Jenny C. A. Read, Dhanraj Vishwanath, Sarah H. Creem-Regehr, Fulvio Domini
Summary: New approaches to 3D vision are revolutionizing artificial intelligence, autonomous vehicles, animal navigation, and human perception in virtual and augmented reality. These approaches challenge traditional assumptions and explore the potential of partial or distorted models in vision.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Multidisciplinary Sciences
Borut Zalik, Damjan Strnad, David Podgorelec, Ivana Kolingerova, Andrej Nerat, Niko Lukac, Stefan Kohek, Luka Lukac
Summary: A new method for extracting characterisation vectors of 2D geometric shapes is proposed in this paper, which involves scanning the shape of interest embedded in a raster space with sweep-lines of different slopes multiple times. The interior points of the shape's boundary on the actual sweep-line are identified and connected iteratively into chains, which are then filtered, vectorised, and normalised to obtain polylines. These polylines are used to design the shape's characterisation vector, demonstrating a good rotation- and scaling-invariant identification of equal shapes.
Article
Computer Science, Artificial Intelligence
Laura Burdick, Rada Mihalcea, Ryan L. Boyd, James W. Pennebaker
Summary: This research examines the relationship between a person's demographic/psychological traits and self-identity images and captions. By automatically extracting features from images and captions, visual and textual properties that are related to individual differences were identified. The study demonstrates that a multimodal predictive approach outperforms purely visual and textual methods.
COGNITIVE COMPUTATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Nikita Letov, Yaoyao Fiona Zhao
Summary: Geometric modelling is crucial in the design process, and additive manufacturing has enhanced design freedom. However, the modelling of heterogeneous lattice structures is still limited. This study proposes a novel approach using mathematical functions to control geometric parameters and addresses the limitations of existing methods.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Douglas A. J. Brion, Sebastian W. Pattinson
Summary: In this study, the authors develop a neural network that can detect and correct errors in 3D printing in real time. By training the network with images labeled by deviation from optimal printing parameters, they achieve effective error detection and correction across various geometries, materials, printers, and toolpaths.
NATURE COMMUNICATIONS
(2022)
Article
Biochemical Research Methods
Fuyuan Deng, Linlin Liu, Zhong Li, Juncai Liu
Summary: This study revealed the influence of optimal shape of porous titanium alloy scaffolds on bone regeneration through experiments and computational analysis, with diamond lattice structure showing the best effect on bone tissue growth.
JOURNAL OF BIOLOGICAL ENGINEERING
(2021)
Article
Geography, Physical
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Summary: A novel method for surveillance of Red Palm Weevil infested palm trees using deep learning algorithms and aerial/street-level imagery has been proposed, demonstrating efficiency in detecting infested trees in urban and open environments through large-scale testing.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Editorial Material
Multidisciplinary Sciences
Jeffrey M. Perkel
Summary: The new breed of notebooks combines data visualization and collaborative functionality, with the simplicity of a spreadsheet.
Editorial Material
Multidisciplinary Sciences
Jeffrey M. Perkel
Summary: Computational environments and management tools enable researchers to produce code that is reproducible, documented, and shareable.
Article
Environmental Sciences
Alexandru Pop, Victor Domsa, Levente Tamas
Summary: In this paper, a novel rotation normalization technique using an oriented bounding box for point cloud processing is proposed. It is used to create a point cloud annotation tool for part segmentation and trained on custom datasets for classification and part segmentation tasks. The method is successfully deployed on an embedded device with limited processing power and compared with other rotation-invariant features in noisy synthetic datasets. Our method offers more auxiliary information related to the object's dimension, position, and orientation while performing at a similar level.
Article
Water Resources
V. Pot, S. Peth, O. Monga, L. E. Vogel, A. Genty, P. Garnier, L. Vieuble-Gonod, M. Ogurreck, F. Beckmann, P. C. Baveye
ADVANCES IN WATER RESOURCES
(2015)
Article
Soil Science
A. N. Houston, W. Otten, R. Falconer, O. Monga, P. C. Baveye, S. M. Hapca
Article
Mathematical & Computational Biology
Cedrigue Boris Djiongo Kenfack, Olivier Monga, Serge Moto Mpong, Rene Ndoundam
ACTA BIOTHEORETICA
(2018)
Editorial Material
Computer Science, Artificial Intelligence
Gwanggil Jeon, Marco Anisetti, Ernesto Damiani, Olivier Monga
Review
Microbiology
Philippe C. Baveye, Wilfred Otten, Alexandra Kravchenko, Maria Balseiro-Romero, Eleonore Beckers, Maha Chalhoub, Christophe Darnault, Thilo Eickhorst, Patricia Garnier, Simona Hapca, Serkan Kiranyaz, Olivier Monga, Carsten W. Mueller, Naoise Nunan, Valerie Pot, Steffen Schlueter, Hannes Schmidt, Hans-Joerg Vogel
FRONTIERS IN MICROBIOLOGY
(2018)
Article
Computer Science, Interdisciplinary Applications
Alain Tresor Kemgue, Olivier Monga, Serge Moto, Valerie Pot, Patricia Garnier, Philippe C. Baveye, Abdelaziz Bouras
COMPUTERS & GEOSCIENCES
(2019)
Article
Soil Science
Bruno Mbe, Olivier Monga, Valerie Pot, Wilfred Otten, Frederic Hecht, Xavier Raynaud, Naoise Nunan, Claire Chenu, Philippe C. Baveye, Patricia Garnier
Summary: This study aimed to use the Mosaic simulator to analyze carbon mineralization under different microscale environmental conditions and determine how soil structure descriptors could explain CO2 emissions.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Review
Soil Science
Valerie Pot, Xavier Portell, Wilfred Otten, Patricia Garnier, Olivier Monga, Philippe C. Baveye
Summary: The development of new generation soil organic matter (SOM) models at the spatial scale of soil microenvironments challenges traditional hypotheses about influences on soil microbial activity. These models better capture interactions at the microscale and provide insights into the dynamics of SOM decomposition.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe C. Baveye
Summary: This study presents a novel automatic segmentation technique, QCuts-3D, for binary segmentation of volumetric images of porous media. By drawing parallels with natural image segmentation and utilizing state-of-the-art spectral clustering technique, the proposed method overcomes the drawbacks of existing techniques. Additionally, a dataset of 68 multiphase volumetric images with ground truth annotations is provided for comparative evaluations, showcasing the superiority of QCuts-3D in accuracy and computational complexity over the current state-of-the-art. Statistical analysis also demonstrates its robustness against compositional variations of porous media.
COMPUTERS & GEOSCIENCES
(2022)
Review
Soil Science
Valerie Pot, Xavier Portell, Wilfred Otten, Patricia Garnier, Olivier Monga, Philippe C. Baveye
Summary: In recent years, a new generation of microscale models has been developed to simulate soil microbial activity. This article summarizes the main findings obtained from these models, focusing on six model outputs and emphasizing the interactions between soil architecture and microbial dynamics. The limitations and future directions of microscale models are also discussed, along with the role of high-performance imaging tools in revealing the spatial heterogeneity of soil microbial activity.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Proceedings Paper
Computer Science, Software Engineering
Lucie Druoton, Dominique Michelucci, Olivier Monga, Abdelaziz Bouras, Sebti Foufou
2018 14TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS)
(2018)
Proceedings Paper
Computer Science, Information Systems
Alain Tresor Kemgue, Olivier Monga
IT CONVERGENCE AND SECURITY 2017, VOL 1
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Alain Tresor Kemgue, Olivier Monga, Serge Moto, Sebti Foufou
2017 13TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY AND INTERNET-BASED SYSTEMS (SITIS)
(2017)
Proceedings Paper
Computer Science, Theory & Methods
Cedrigue Djiongo, Serge Moto Mpong, Olivier Monga
2015 11TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS)
(2015)
Article
Mathematics
Babacar Leye, Doanh Nguyen-Ngoc, Olivier Monga, Patricia Garnier, Naoise Nunan
VIETNAM JOURNAL OF MATHEMATICS
(2015)
Article
Ecology
Florian Lecorvaisier, Dominique Pontier, Benoit Soubeyrand, David Fouchet
Summary: Research has found that the use of vaccines that do not entirely block pathogen transmission may lead to the evolution of more virulent strains. High vaccine coverage favors the emergence and prevalence of avirulent strains, and competition between strains is crucial for the eradication of toxigenic strains when these vaccines are used.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Monica E. Barros, Ana Arriagada, Hugo Arancibia, Sergio Neira
Summary: The stock biomass of carrot prawn in the south-central area of Chile has decreased in the past 12 years, mainly due to fishing mortality. Predation mortality has been less studied and quantified, so it is important to estimate and compare predation and fishing mortality to understand their effects on fishing stocks. A food web model was built to analyze the biomass changes and evaluate the relative contribution of different mortality factors. The results showed that predation mortality was the main component of total mortality for carrot prawns and yellow prawns.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shubham Krishna, Victoria Peterson, Luisa Listmann, Jana Hinners
Summary: This study incorporated viral dynamics into an ecosystem model to investigate the effects of viruses on ecosystem dynamics under current and future climatic conditions. The results showed that the presence of viruses increased nutrient retention in the upper water column, leading to a reduction in phytoplankton biomass and transfer of biomass to higher trophic levels.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zahra Dehghan Manshadi, Parastoo Parivar, Ahad Sotoudeh, Ali Morovati Sharifabadi
Summary: This study demonstrates the importance of strategies such as limiting built-up areas, preserving green spaces, and protecting water resources on the urban carrying capacity in arid and semi-arid regions. Implementing a combination of policies aimed at enhancing urban green spaces and regulating water demand is found to be the most effective in terms of health and urban carrying capacity.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shay S. Keretz, Daelyn A. Woolnough, Todd J. Morris, Edward F. Roseman, David T. Zanatta
Summary: This study surveyed native freshwater mussels in the St. Clair-Detroit River system and found 14 live unionids representing 9 species. However, the model used to predict their presence in the main channels was not successful. The study also revealed characteristic differences between the St. Clair and Detroit Rivers.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zhengrong Zhang, Xuemei Li, Xinyu Liu, Kaixin Zhao
Summary: This study examines land use change in the Chinese Tianshan mountainous region using system dynamics and patch-generating land use simulation models. The results show an expansion in forest and construction land, a decline in grassland area, and an increase in cultivated land area from 2005 to 2020. By 2040, unused land, grassland, and water are expected to decrease while other land types increase, with construction land showing the most significant increase. The study provides insights for future ecological and environmental management in the region.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Amira Khelifa, Nadjia El Saadi
Summary: This paper develops an agent-based model to study malaria disease transmission, taking into account the interactions between hosts, vectors, and aquatic habitats, as well as their geographical locations. The simulation results highlight the significant role of aquatic habitats in infection transmission and disease persistence, and demonstrate the effectiveness of eliminating these habitats in limiting disease transmission.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Guillaume Peron
Summary: The theory for movement-based coexistence between species often overlooks small-scale, station-keeping movements. However, at this scale, there are many instances where positive correlations exist between species traits that are expected to be negatively correlated based on current theory. Through simulations, the researcher presents a counter-example to demonstrate that functional tradeoffs are not a necessary condition for movement-based coexistence. This study highlights the significance of species-specific space use patterns under the time allocation tradeoff hypothesis.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sandra Y. Mendiola, Nicole M. Gerardo, David J. Civitello
Summary: Research on the use of insect microbial symbionts as a means of controlling the spread of insect vectors and the pathogens they carry has made significant progress in the last decade. This study focused on the relative importance of simultaneous effects caused by a symbiont called Caballeronia spp. on the ability of squash bugs to transmit phytopathogenic Serratia marcescens. The researchers found that infection with Caballeronia significantly reduced pathogen titers and cleared S. marcescens in bugs, thus reducing the vectoring potential of these pests. The study also showed that maximizing symbiont prevalence in the vector population is crucial for effectively mitigating plant infections.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shirui Hao, Dongryeol Ryu, Andrew W. Western, Eileen Perry, Heye Bogena, Harrie Jan Hendricks Franssen
Summary: This study investigates the sensitivity of model yield prediction to uncertainties in model parameters and inputs using the Sobol' method. The results show that yield is more sensitive to changes in water availability and nitrogen availability, depending on soil, management, and weather conditions.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Nitika Mundetia, Devesh Sharma, Aditya Sharma
Summary: This study focused on assessing groundwater sustainability using different modeling approaches in a river basin in Rajasthan, India. The results showed a decrease in future groundwater recharge and emphasized the need for better management and conservation practices to achieve sustainable development goals.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sukdev Biswas, Sk Golam Mortoja, Ritesh Kumar Bera, Sabyasachi Bhattacharya
Summary: Bacteria play a crucial role in regulating the nutrient cycle of ecosystems, and maintaining a thriving bacterial population is essential for the sustainability of these environments. This study introduces the concept of cooperation as a group defense mechanism employed by bacteria and incorporates it into the functional response, offering a more comprehensive understanding of the complex tritrophic food chain dynamics. The results highlight the importance of a balance between strong group defense and moderate cooperation for bacteria sustainability and overall system stability.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
D. Z. M. Le Gouvello, S. Heye, L. R. Harris, J. Temple-Boyer, P. Gaspar, M. G. Hart-Davis, C. Louro, R. Nel
Summary: This study modeled the dispersal pathways and compared potential dispersal corridors of different sea turtle species in the Western Indian Ocean. The results showed that ocean currents play a major role in driving dispersal, with species and years exhibiting differences in dispersal patterns. Active swimming had little influence on dispersal during the first year.
ECOLOGICAL MODELLING
(2024)
Review
Ecology
Yingying Duan, Haina Rong, Gexiang Zhang, Sergey Gorbachev, Dunwu Qi, Luis Valencia-Cabrera, Mario J. Perez-Jimenez
Summary: Computing models are an effective way to study population dynamics of endangered species like giant pandas. This paper proposes a unified framework and conducts a comprehensive survey of computing models for giant panda ecosystems. Multi-factor computing models are more suitable for studying giant panda ecosystems.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Samantha Lai, Theophilus Zhi En Teo, Arief Rullyanto, Jeffery Low, Karenne Tun, Peter A. Todd, Siti Maryam Yaakub
Summary: Understanding the exchange of genetic material among populations in the marine environment is crucial for conservation efforts. Agent-based models are increasingly used to predict dispersal pathways, including for seagrasses. This study highlights the importance of considering both sexual propagules and asexual vegetative fragments when evaluating seagrass connectivity.
ECOLOGICAL MODELLING
(2024)