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  1. No Access

    Chapter and Conference Paper

    Chemistry-Wise Augmentations for Molecule Graph Self-supervised Representation Learning

    In molecular property prediction tasks, graph neural networks have become a widely used tool. Recently, self-supervised learning frameworks, especially contrastive learning, gathered growing attention for the ...

    Evgeniia Ondar, Ilya Makarov in Advances in Computational Intelligence (2023)

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    Chapter and Conference Paper

    On Stability Assessment Using the WalkIT Smart Rollator

    Stability loss may lead to serious injury. Fall risk is often assessed using wearable sensors and/or external motion capture devices. However, these approaches may not be valid for all environments. As rollato...

    Manuel Fernandez-Carmona, Joaquin Ballesteros in Advances in Computational Intelligence (2023)

  3. No Access

    Chapter and Conference Paper

    The Importance of Prognostic Variables to Monitoring Heart Failure Using Health Management Systems

    Heart Failure is a syndromal disease affecting about 2% of the world’s adult population and about 10% of adults over 70 years of age. Because of the progressive nature of this disease, continuous and close mon...

    Alexandre Davi Santos Dias in Biomedical and Computational Biology (2023)

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    Chapter and Conference Paper

    Modelling of Anti-amyloid-Beta Therapy for Alzheimer’s Disease

    A healthy brain clears different types of debris with the help of specialized glial cells. These cells contiguously tile the entire central nervous system (CNS), exert many essential complex functions in the h...

    Swadesh Pal, Roderick Melnik in Bioinformatics and Biomedical Engineering (2023)

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    Chapter and Conference Paper

    Ensembles of Heuristics and Computational Optimisation in Highly Flexible Manufacturing System

    The objective of a Flexible Manufacturing System (FMS) is to respond faster to changes in products and demands with minimum changeover cost. However, layout changes in FMS are not automatic and required human ...

    Rotimi Ogunsakin, Nikolay Mehandjiev in Bio-inspired Information and Communication… (2023)

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    Chapter and Conference Paper

    HetBiSyn: Predicting Anticancer Synergistic Drug Combinations Featuring Bi-perspective Drug Embedding with Heterogeneous Data

    Synergistic drug combination is a promising solution to cancer treatment. Since the combinatorial space of drug combinations is too vast to be traversed through experiments, computational methods based on deep...

    Yulong Li, Hongming Zhu, **aowen Wang, Qin Liu in Bioinformatics Research and Applications (2023)

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    Chapter and Conference Paper

    CSA-MEM: Enhancing Circular DNA Multiple Alignment Through Text Indexing Algorithms

    In the realm of Bioinformatics, the comparison of DNA sequences is essential for tasks such as phylogenetic identification, comparative genomics, and genome reconstruction. Methods for estimating sequence simi...

    André Salgado, Francisco Fernandes in Bioinformatics Research and Applications (2023)

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    Chapter and Conference Paper

    ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks

    Clinical applications require automating ECG signal processing and classification. This paper investigates the impact of multiscale input filtering techniques and feature map blocks on the performance of CNN m...

    Ondrej Rozinek, Petr Dolezel in Advances in Computational Intelligence (2023)

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    Chapter and Conference Paper

    Prediction of Transportation Orders in Logistics Based on LSTM: Cargo Taxi

    This work presents the application of LSTM neural network in prediction of transportation orders. In case of logistic transport, the empty return routs can be minimized by matching new orders in the vicinity o...

    Tomasz Grzejszczak, Adam Gałuszka in Advances in Computational Intelligence (2023)

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    Chapter and Conference Paper

    Neuroscience, Neuroaesthetics, Semiotics and Effective Communication of COVID-19 Warning Information

    The need to indicate the significant adverse effects of COVID-19 and the behaviour desired from the population to address this offer an excellent context to consider the varied approaches to providing such inf...

    Alcides Bernardo Tello, Chiao-Yun Chen in Biomedical and Computational Biology (2023)

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    Chapter and Conference Paper

    Comparison Between Two Hospitals to Study the Impact of COVID-19 on Emergency Medicine Activities

    Beginning in December 2019, a new epidemic, called COVID-19 has disrupted our lives. Tt started from the city of Wuhan in China to affect the whole world. This epidemic has changed the health care systems arou...

    Emma Montella, Marta Rosaria Marino in Biomedical and Computational Biology (2023)

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    Chapter and Conference Paper

    Detecting Intra Ventricular Haemorrhage in Preterm Neonates Using LSTM Autoencoders

    The neonatal period is a critical stage where physiological adaptations for extra-uterine life occur, and newborns are vulnerable to various diseases and disorders. Among these conditions, preterm neonates (PN...

    Idris Oladele Muniru, Jacomine Grobler in Bioinformatics and Biomedical Engineering (2023)

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    Chapter and Conference Paper

    Training Strategies for Covid-19 Severity Classification

    The COVID-19 pandemic has posed a significant public health challenge on a global scale. It is imperative that we continue to undertake research in order to identify early markers of disease progression, enhan...

    Daniel Pordeus, Pedro Ribeiro, Laíla Zacarias in Bioinformatics and Biomedical Engineering (2023)

  14. No Access

    Chapter and Conference Paper

    Electromagnetic-Induced Calcium Signal with Network Coding for Molecular Communications

    Molecular communication (MC) has become a new communication technology between nano-scale devices due to its biocompatibility and low energy consumption. Calcium signaling gradually becomes a hot research topi...

    Mengnan Su, Peng He in Bio-inspired Information and Communications Technologies (2023)

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    Chapter and Conference Paper

    Identification of InhA-Inhibitors Interaction Fingerprints that Affect Residence Time

    Drug development is a complex process that remains subject to risks and uncertainties. In its early days, much emphasis was placed on the equilibrium binding affinity of a drug to a particular target, which is...

    Magdalena Ługowska, Marcin Pacholczyk in Bioinformatics and Biomedical Engineering (2023)

  16. No Access

    Chapter and Conference Paper

    Agent Based Modeling of Fish Shoal Behavior

    Fish require a sufficient amount of dissolved oxygen in the water to breathe and maintain their metabolic functions. Insufficient levels of dissolved oxygen can lead to stress, illness, and even death among th...

    Pavla Urbanova, Ievgen Koliada, Petr Císař in Bioinformatics and Biomedical Engineering (2023)

  17. No Access

    Chapter and Conference Paper

    Exploring Racial Disparities in Triple-Negative Breast Cancer: Insights from Feature Selection Algorithms

    Triple-negative breast cancer (TNBC) is a challenging subtype with pronounced racial disparities, more prevalent in African American (AA) women. We employed diverse feature selection algorithms, including filt...

    Bikram Sahoo, Temitope Adeyeha, Zandra Pinnix in Bioinformatics Research and Applications (2023)

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    Chapter and Conference Paper

    Simulating Tumor Evolution from scDNA-Seq as an Accumulation of both SNVs and CNAs

    Ever since single-cell sequencing (scDNA-seq) was coined ‘method of the year’ in 2013, it has provided many insights into the evolution of tumors, viewed as a branching process of accumulating cancerous mutati...

    Zahra Tayebi, Akshay Juyal in Bioinformatics Research and Applications (2023)

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    Book and Conference Proceedings

    Biomedical and Computational Biology

    Second International Symposium, BECB 2022, Virtual Event, August 13–15, 2022, Revised Selected Papers

    Shi** Wen, Cihui Yang in Lecture Notes in Computer Science (2023)

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    Chapter and Conference Paper

    Replacing Goniophotometer with Camera and U-Net with Hypercolumn Rescale Block

    We deal with replacing a costly and slow goniophotometer device with a standard, inexpensive, and fast camera in the task of evaluating an illuminated area by a car headlamp. This solution is novel, has not ye...

    Marek Vajgl, Petr Hurtik in Advances in Computational Intelligence (2023)

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