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Catalog Publications
Year 2025
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A Compact Tri-Band Omnidirectional Antenna Design for CubeSat Applications
PublicationThis paper presents a compact tri-band omnidirectional antenna designed for CubeSat applications, operating at UHF (0.755 GHz), L-band (1.25 GHz), and S-band (2.28–3.74 GHz). The antenna features a defected ground structure (DGS) and metallic vias, which enhance impedance matching and enable stable multi-band resonance while maintaining a small footprint of 0.26λ × 0.26λ × 0.013λ within a 1U CubeSat. Unlike conventional CubeSat...
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A Highly Compact Low-Profile Beam Switching Transmitarray Antenna for ISM-Band Applications
PublicationThis paper presents a novel, very low-profile transmitarray antenna (TA) designed specifically for applications in the 24 GHz Industrial, Scientific, and Medical (ISM) band. The design innovation lies in embedding the switchable feed antenna into the beam-focusing surface and adding a reflector, which effectively halves the antenna’s size in the boresight direction. This compact antenna allows for easy beam switching through the...
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A Method for Adapting Stereo Matching Algorithms to Real Environments
PublicationThis study challenges the commonly used testbeds and benchmarks for testing stereo matching algorithms. Although the algorithms listed in the rankings based on these testbeds score exceptionally high, stereo matching technology still suffers from major drawbacks; as such, it is much less popular in commercial use than other technologies for 3D scanning, such as structured-light 3D scanners. One of the main problems is that the...
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A Miniaturized and High Optically Transparent Frequency Selective Surface for RF Shielding using Double-Glazed Glass Windows for Green Building Applications
PublicationThis research presents a miniaturized and high optically transparent (OT) frequency selective surface (FSS) for achieving RF shielding through glass window panels. The proposed FSS consists of a single-layered copper pattern sandwiched between two ordinary glass substrates to suppress the dual bands of sub-6 fifth generation (5G). In particular, the design effectively shields n65-downlink (2.1 GHz) and a portion of n78-band (3.5...
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A multi-model approach to construction site safety: Fault trees, Bayesian networks, and ontology reasoning
PublicationWith the rapid expansion of the construction industry, accidents on construction sites have been increasingly common. Among these, collapses of earthwork foundation pits are particularly significant due to the sheer weight of the collapsed materials and the vast affected areas, resulting in substantial casualties and economic losses. This study aims to determine the causes of these construction safety and collapse incidents and...
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A Non-PCM-Based 2 × 2 MIMO Antenna Array With Low Radar Cross-Section Using Characteristic Mode Analysis
PublicationIn this paper, we introduced a 2×2 multiple-input-multiple-output (MIMO) antenna array using a non-polarization conversion metasurface (NPCM) with reduced radar cross section (RCS). To achieve a low RCS, a chess-board configuration is typically adopted. However, in conventional NPCM designs, subarrays with 180◦ phase shifts apart exhibit radiating modes at different resonance frequencies due to varied unit cell sizes and spacing....
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A study of Scrum @ S&P Global in the post-COVID-19 era: Unsuitable for remote work or just flawed implementation?
PublicationContext: Although the COVID-19 pandemic is behind us, the seminal challenge for agile teams has not gone away, as “Work-From-Home (WFH) is here to stay”. Despite a wealth of literature documenting the challenges of applying agile methods in remote environments, practical guidance for overcoming these challenges remains limited. Furthermore, systematic meta-guidelines to help practitioners develop tailored, context-specific solutions...
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Agile Mindset, Technological vs. Non-technological Mindset, and Gender. Are They Related?
PublicationThis study examined the impact of gender on the relationship between employees' agile and non-agile mindsets and organisational agility. It also considers the tech and non-tech focus as a potential moderator. The initial sample of 209 knowledge workers andthe replication sampleof 401 knowledge workers were applied to analyse the above relations using OLS regression by SPSS PROCES. The results showed that the most critical factor...
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AI-Driven Sustainability in Agriculture and Farming
PublicationIn this chapter, we discuss the role of artificial intelligence (AI) in promoting sustainable agriculture and farming. Three main themes run through the chapter. First, we review the state of the art of smart farming and explore the transformative impact of AI on modern agricultural practices, focusing on its contribution to sustainability. With this in mind, our analysis focuses on topics such as data collection and storage, AI...
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An 8–18 GHz ultrawideband gap waveguide folded bandpass filter for radar applications
PublicationThe present work introduces a compact ultrawideband filter based on folded ridge gap waveguide. The design and fabrication of a ninth-order bandpass filter demonstrates its capabilities, achieving a 75 % fractional bandwidth, a return loss (RL) of 17.6 dB, and an insertion loss (IL) of 0.52 dB within the 8.22 to 18.15 GHz frequency range. The fabricated prototype shows excellent agreement between simulations and measurements. The...
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An All-Metal Broadband Low SLL slot array antenna for use in 5G Sub-6 GHz networks
PublicationThis paper describes the design and implementation of an all-metal wideband cavity-backed slot array antenna specifically optimized for 5G sub-6GHz networks. The antenna is engineered to feature low sidelobe levels (SLL), which enhance signal clarity and reduce interference. The proposed antenna utilizes a novel approach, directly exciting all radiating slots through the cavity layer, thus eliminating the need for a complex and...
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An ultrawideband monopulse feed with slant polarization for tracking radar systems
PublicationAn ultrawideband slant-polarized monopulse feed is designed and fabricated for microwave applications. The proposed configuration features four end-launched diagonal horns allowing for the production of sum and difference channels in two principal planes. The key advantage of this proposed monopulse antenna over traditional monopulse feeds is its ability to combine the benefits of ultrawideband performance with slant polarization...
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Anonymous provision of privacy-sensitive services using blockchain and decentralised storage
PublicationLawyers, laboratories, auditors, and banks often need access to sensitive personal data to provide services such as genetic testing, paternity testing, STD testing, credit scoring, or legal advice. Processing such data exposes both service providers (SPs) and users to privacy risks: SPs risk violating laws like the General Data Protection Regulation (GDPR) and the Consumer Protection Act (CPA), while users risk losing their privacy....
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Anterior prefrontal EEG theta activities indicate memory and executive functions in epilepsy patients
PublicationObjective: Cognitive deficits are one of the most debilitating comorbidities in epilepsy and other neurodegenerative, neuropsychiatric, and neurodevelopmental brain disorders. Current diagnostic and therapeutic options are limited and lack objective measures of the underlying neural activities. In this study, electrophysiological biomarkers that reflect cognitive functions in clinically validated batteries were determined to aid...
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Artificial Intelligence for Wireless Communications: the InSecTT perspective
PublicationThis paper presents an overview of how Artificial Intelligence (AI) and edge technology have been used to improve wireless connectivity in multiple industrial Use Cases (UCs) of the EU project “Intelligent Secure Trustable Things” (InSecTT). We present a brief introduction of the InSecTT framework for crossdomain architecture design, which targets UCs assisted by reusable and/or interoperable technical Building Blocks (BBs). These...
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Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications
PublicationThe state of the art in IR thermal imaging methods for applications in medical diagnostics is discussed. A review of advances in IR thermal imaging technology in the years 1960–2024 is presented. Recently used artificial intelligence (AI) methods in the analysis of thermal images are the main interest. IR thermography is discussed in view of novel applications of machine learning methods for improved diagnostic analysis and medical...
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Automatic Cleaning of Time Series Data in Rural Internet of Things Ecosystems That Use Nomadic Gateways
PublicationA serious limitation to the deployment of IoT solutions in rural areas may be the lack of available telecommunications infrastructure enabling the continuous collection of measurement data. A nomadic computing system, using a UAV carrying an on-board gateway, can handle this; it leads, however, to a number of technical challenges. One is the intermittent collection of data from ground sensors governed by weather conditions for...
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Beyond Agile Methodologies: Exploring the Business Analyst’s Role in Agile Software Development
PublicationContext: Agile methodologies are now used in the majority of software projects, but the definitions of such methodologies rarely include the role of a business analyst (BA). Objective: This paper investigates the responsibilities assigned to BAs participating in agile software projects. Method: We identified potential responsibilities through a systematic literature review (3 databases) and interviews with 6 practitioners. The...
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Binary transition metal oxide/carbon compounds-based electrode materials for supercapacitor application: A comprehensive review
PublicationMetal oxides have garnered widespread interest owing to their theoretical and experimental merits. Among these, binary transition metal oxides (BTMOs) represent a novel class of these metal oxides, recognized for their stability, cost-effectiveness, and superior efficiency as energy storage electrode materials. The advantages of BTMOs arise from the synergistic effects of incorporating a couple of transition metal oxides within...
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Boron-doped carbon nanowalls as effective electrodes for non-enzymatic electrochemical glucose detection: A novel bimodal EC-SALDI-MS approach
PublicationFor the first time, boron-doped carbon nanowalls (B-CNWs) have been used as effective working electrodes for non-enzymatic electrochemical glucose detection. To achieve optimal response time and sensitivity, we activated B-CNWs by polarising them at 1.1 V in NaOH for 60 min. We established a robust linear dynamic range for glucose concentrations from 10 to 550 μM and calculated a limit of detection (LoD) of 10 μM. Additionally,...
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CeO2/La2O3/MWCNTs as an efficient nano-electrocatalyst for use in the anode of alcohol fuel cells
PublicationOne of the most important challenges in commercializing Direct Alcohol Fuel Cells (DAFCs) is the significant expense of advanced catalysts used in their anodes and cathodes and the CO poisoning of these catalysts with alcohol oxidation by-products. Alcohols oxidation reaction occurred in the anode of DAFCs. Within this study, a tripartite catalyst, comprising cerium oxide (CeO2) and lanthanum oxide (La2O3) integrated with multi-walled...
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Characteristics Mode Analysis and Excitation of Orthogonal Modes on a Single Substrate for Wideband IoT Applications in the Millimeter Wave Band
PublicationThis paper presents the design of a circularly polarized millimeter-wave (mm-wave) metasurface (MTS) antenna. The Characteristics Modes Analysis (CMA) is employed to examine various modes within the unit-cell design of the proposed metasurface. Based on a thorough analysis, two orthogonal TM modes with a broadside radiation pattern were identified. These modes were then simultaneously excited on a single substrate using simple...
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Collaborative Learning as a Service – a Blueprint for a Cloud Based Rural IoTs Deployment Facility.
PublicationVast spaces with inadequate telecommunications infrastructure pose a challenge to deploy IoT systems. A tech stack is proposed and implemented on TASKcloud at Gdansk Tech, based on widely available open-source technology components, making it possible to deploy various machine learning models developed on the cloud to constrained end devices, to make them capable of intelligently cleaning measurement data and optimizing their volume...
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Compact Self-Diplexing MIMO Antenna with Improved Isolation for IoT Connectivity
PublicationThis paper proposes a cavity-backed substrate integrated-waveguide dual-feed self-diplexing MIMO antenna for Internet of Things (IoT) applications. To implement a selfdiplexing operation, the half-mode SIW cavity is loaded with a rectangular slot carved on the top metal cladding. This causes the cavity to be divided into two unequal apertures, resulting in the development of a quarter-mode SIW. The patch has orthogonally positioned...
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Comparison and analysis of software and hardware energy measurement methods for a CPU+GPU system and selected parallel applications
PublicationIn this paper authors extend upon their previous research on power-capped optimization of performance-energy metrics of deep neural networks training workloads. A professional power meter Yokogawa WT-310E is used, as well as Intel RAPL and Nvidia NVML interfaces, to examine power consumption of a much more comprehensive set of multi-GPU and multi-CPU workloads, including: selected kernels from NAS Parallel Benchmarks for CPUs and...
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Correction of non-anechoic antenna measurements using matrix pencil algorithm with adaptively adjusted setup
PublicationFar-field antenna performance is normally evaluated in dedicated test sites such as anechoic chambers. Although capable of providing certification-grade accuracy, professional laboratories are prohibitively expensive. Alternatively, measurements can be performed in non-anechoic conditions and then refined using appropriate algorithms. Unfortunately, post-processing performance depends on the routine-specific setup, which is either...
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Cost-Efficient Behavioral Modeling of Antennas by Means of Global Sensitivity Analysis and Dimensionality Reduction
PublicationComputational tools, particularly electromagnetic (EM) solvers, are now commonplace in antenna design. While ensuring reliability, EM simulations are time-consuming, leading to high costs associated with EM-driven procedures like parametric optimization or statistical design. Various techniques have been developed to address this issue, with surrogate modeling methods garnering particular attention due to their potential advantages....
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D-Band High Gain Planer Slot Array Antenna using Gap Waveguide Technology
PublicationA D-band high gain slot array antenna with corporate-fed distribution network based on gap waveguide structures is proposed at 140GHz. To overcome the fabrication challenges at such high frequency, the gap waveguide technology is deployed in which good electrical contact between different parts of the waveguide structure is not required. The proposed sub-array has four radiating slots that are excited by a groove gap cavity and...
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Declarative ship arenas under favourable conditions
PublicationAccording to maritime regulations, a collision-avoidance action shall be taken at an “ample time” while strict interpretation of this term is ambiguous. Evasive manoeuvres, executed by marine navigators on a daily basis, are usually carried out well in advance, while the distance at which they decide to perform such a manoeuvre is mostly subjective and results, e.g., from the navigator's seagoing experience. A proper understanding...
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Dermoscopy of External Ear Melanocytic Lesions: Performance of Selected Dermoscopic Screening Algorithms and Proposal of a New Predictive Model for Malignancy (AuriCheck Dermoscopic Algorithm)
PublicationBackground/Objectives: External ear melanocytic lesions (EEMLs) are frequently encountered in clinical practice. EEMLs belong to dermoscopic special site locations and their dermoscopic presentation is poorly characterized. The aims of the study were to determine the dermoscopic features and patterns of EEMLs, to evaluate the performance of selected dermoscopic screening algorithms for EEML and to propose a dedicated site-specific...
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Design and Validation of A 30 GHz 8×8 Slot Antenna Array with Ridge Waveguide Pins/Holes Layers
PublicationThis paper presents an 8×8-element slot antenna array optimized for 30 GHz band applications, achieving high gain, wide impedance bandwidth, and high efficiency. The array employs a pin/hole-based design, which enables a compact structure and reduces fabrication complexity and cost, as it eliminates the need for electrical contact between its three primary layers: the metal radiating slot plate, a sub-array cavity layer, and a...
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Determining a damping coefficient by using a microelectromechanical systems accelerometer for finite element method simulation purposes on a discrete damper example
PublicationThis paper introduces a methodology, algorithms, and the achieved results for determining the damping coefficient using a microelectromechanical systems (MEMS) accelerometer, specifically for finite element method (FEM) simulations. The paper not only showcases the results but also employs several independent verification procedures to confirm the validity of the obtained damping coefficient. The determined damping coefficient...
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Development and testing of an open source mobile application for audiometry test result analysis and diagnosis support
PublicationHearing impairments are typically assessed using pure tone audiometry, a diagnostic method that allows for the identification of the degree, type and configuration of hearing loss. The results of this assessment are generally displayed in the form of an audiogram, which graphically represents the softest sounds perceivable by an individual across a range frequencies. This paper presents a novel Open Source mobile application for...
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Development of a High-Sensitivity Triple-Band Nano-Biosensor Utilizing Petahertz Metamaterials for Optimal Absorption in Early-Stage Leukemia Detection
PublicationThis research focuses on designing a novel miniaturized biosensor for early-stage detection of leukemia. The proposed sensor operates in the low Petahertz (PHz) range. The primary prerequisites for the development process include multi-band operation, compact physical size, near-perfect absorption at resonant frequencies, and insensitivity to the angle of incidence. These features are crucial for ensuring high-performance operation...
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Development of PLA-based bilayer nanofibers containing ZIF (zeolitic imidazolate framework)-67 nanoparticles for active food packaging applications in citrus preservation
PublicationIn this study, antimicrobial monolayer and bilayer nanofibers were developed from poly(lactic acid) (PLA) by incorporating zeolitic imidazolate framework-67 (ZIF-67) nanoparticles via electrospinning for active food packaging. ZIF-67 nanoparticles were synthesized under varying conditions, and their physicochemical properties were thoroughly characterized. Active monolayer PLA nanofibers were produced by directly electrospinning...
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Discrete evacuation in graphs with multiple exits
PublicationIn this paper, we consider the problem of efficient evacuation of mobile agents from distinct nodes in a graph to multiple exit nodes, while avoiding congestion and bottlenecks, and minimizing the total evacuation time. Each node in the graph can only hold one agent at a time, so the agents must choose their movements based on the locations of other agents to optimize the evacuation process. We consider two scenarios: the centralized...
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Dynamic anaerobic digestion-based biorefineries for on-demand renewable energy and bioproducts in a circular bioeconomy
PublicationAnaerobic digestion (AD) is an important biotechnology for treating biodegrad- able residues and producing bioenergy, yet its full potential remains untapped. We investigate a two-phase AD system for biorefinery applications, producing valuable bioproducts, such as volatile fatty acids (VFAs) and biogas, from grass feedstock. We introduce a demand-driven operational approach to match mar- ket conditions, while minimising water...
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EDRNet: An attention-based model for multi-type tumor and polyp segmentation in medical imaging
PublicationIn the pursuit of advancing medical image segmentation, this study introduces a novel neural network, Efficient Deep Residual Network (EDRNet). Our approach is designed to handle different types of tumors, encompassing MRI brain tumor segmentation, three breast tumor ultrasound segmentation tasks, and cholorectal polyp segmentation from the Kvasir dataset. EDRNet incorporates advanced architectural features such as Enhanced Residual...
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Effect of process parameters on properties of Mn1.5CuFe0.5O4 spinel oxide coatings deposited by spray pyrolysis method
PublicationOne of the critical issues in the lifetime of metallic interconnects is related to their high oxidation rate and Cr diffusion, which negatively affect their performance. In the present study, a novel Fe modified Mn–Cu spinel oxide with the chemical composition of Mn1.5CuFe0.5O4 as protective coating was deposited on the surface of Crofer 22 APU and alumina by the spray pyrolysis method. The effects of different deposition conditions...
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Efficient Field Correction of Low-Cost Particulate Matter Sensors Using Machine Learning, Mixed Multiplicative/ Additive Scaling and Extended Calibration Inputs
PublicationParticulate matter (PM) stands out as a highly perilous form of atmospheric pollution, posing significant risks to human health by triggering or worsening numerous heart, brain, and lung ailments, and even increasing the likelihood of cancer and premature mortality. Therefore, ensuring accurate monitoring of PM levels holds paramount significance, particularly urban zones of dense population. Still, achieving precise readings of...
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Electrospun Fibers from Biobased and Recycled Materials for Indoor Air Quality Enhancement
PublicationAir filters are crucial components of building ventilation systems. Compared to conventional air filter media like glass fibers and melt-blown fibers, electrospinning membranes are more efficient for capturing various pollutants due to the smaller pores present on the structure. In this paper, activated carbon filters were prepared with eco-friendly polylactic acid (PLA) and microcrystalline cellulose (MCC) using electrospinning...
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Elucidating charge transfer process and enhancing electrochemical performance of laser-induced graphene via surface engineering with sustainable hydrogel membranes: An electrochemist's perspective
PublicationLaser-induced graphene (LIG) has emerged as a promising solvent-free strategy for producing highly porous, 3D graphene structures, particularly for electrochemical applications. However, the unique character of LIG and hydrogel membrane (HM) coated LIG requires accounting for the specific conditions of its charge transfer process. This study investigates electron transfer kinetics and the electroactive surface area of LIG electrodes,...
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Enhanced electrochemical performance of sulfur-doped laser-induced graphene supercapacitors: Synergistic effects of doping and plasmochemical surface modification
PublicationThis work introduces a novel, scalable methodology for rapidly fabricating sulfur-doped laser-induced graphene with enhanced porosity and wetting characteristics, targeting advanced supercapacitor applications. An infrared laser scribing technique was employed to create a three-dimensional porous graphene network, with in-situ sulfur doping achieved through physical evaporation using powder precursor. A second-pass laser process...
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Enhanced Gain and Isolation Dual-Band Dual-Port MIMO Antenna with Integrated Lens for Millimeter-wave 5G Internet-of-Things Applications
PublicationThis paper proposes a dual-band dual-port Multiple Input Multiple Output (MIMO) antenna with enhanced gain and port isolation for 5G millimeter-wave (mm-wave) Internet of Things (IoT) applications. The gain enhancement is achieved using a 3D-printed dielectric lens integrated with the antenna, whereas port isolation is improved using a novel 2D compact metamaterial incorporated between the MIMO elements. The proposed integrated...
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Estimation of grasp type and determining grasping points for Adaptive Grasping Device
PublicationThe article describes the grasping point algorithm (GPA), aimed to determine points for picking up objects by a manipulator equipped with a proprietary gripper enabling three picking modes (suction cup, two fingers, three fingers). The paper outlines the topic of unknown object picking using various types of grippers, both from a stack of objects and stand-alone items. It describes details of four methods available in the literature....
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Evaluation of Selected Modulation Techniques in Underwater Multipath Channel
PublicationThere is a growing interest in the use of Autonomous Underwater Vehicles (AUVs) and Underwater Sensor Networks (USNs) for scientific, military, and industrial applications, leading to the development of wireless underwater communications. However, the channel for Underwater Acoustic (UWA) communications is challenging compared to the radio wave propagation in the air. Especially in shallow waters, where the channel has strong multipath...
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Expert system against machine learning approaches as a virtual sensor for ventricular arrhythmia risk level estimation
PublicationRecent advancements in machine learning have opened new avenues for preventing fatal ventricular arrhythmia by accurately measuring and analyzing QT intervals. This paper presents virtual sensor based on an expert system designed to prevent the risk of fatal ventricular arrhythmias associated with QT-prolonging treatments. The expert system categorizes patients into three risk levels based on their electrocardiogram-derived QT...
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Exploration of Behavioral Patterns and Cognitive Biases among Stock Market Investors
PublicationThis study aims to explore behavioral patterns and cognitive biases among stock market investors. By analyzing investor behavior through a stock market simulator, the research seeks to understand the impact of cognitive biases on investment decisions. The methodology encompasses a detailed analysis of transaction data to identify prevalent patterns and biases. Findings suggest that biases such as overconfidence, representativeness...
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Flexible MXene/Laser-Induced Porous Graphene AsymmetricSupercapacitors: Enhanced Energy Density of Lateral and Sandwich Architectures Under Different Electrolytes
PublicationDeployment of two-dimensional layered materials beyond graphene, i.e., MXene (Ti3C2Tx, T=-OH, F, O) are rigorously explored for generation-II electrochemical energy storage systems. We report strategic development of asymmetric supercapacitors (ASCs) comprising MXene as negative and laser-induced porous graphene (LIPG) as positive electrode (i.e., MXene//LIPG) to improve electrochemical energy storage in lateral (coplanar) and...
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Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning
PublicationGraphene back-gated FETs operate as gas sensors and can detect different gases by the fluctuation-enhanced gas sensing (FES) method, utilizing low-frequency noise measurements. Individual Lorentzian components are observed in low-frequency noise and identified by their corner frequency fc, which is characteristic of the adsorbed-desorbed gas molecules. The sensor was irradiated by UV light (275 nm) to enhance its sensing properties...