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Marine Predators Algorithm with Deep Learning-Based Leukemia Cancer Classification on Medical Images

Computer Modeling in Engineering & Sciences 2024年第10期141卷 893-916页

作者： Sonali Das Saroja Kumar Rout Sujit Kumar Panda Pradyumna Kumar Mohapatra Abdulaziz S.Almazyad Muhammed Basheer Jasser Guojiang Xiong Ali Wagdy Mohamed Department of Computer Science&Engineering Gandhi Institute for TechnologyBPUTBhubaneswar752054India Department of Information Technology Vardhaman College of Engineering(Autonomous)Hyderabad501218TelanganaIndia Department of Electronic&Communication Engineering Vedang Institute of TechnologyBhubaneswar752010India Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Computing and Information Systems School of Engineering and TechnologySunway UniversityJalan UniversitiBandar SunwaySelangor Darul Ehsan47500Malaysia Research Centre for Human-Machine Collaboration(HUMAC) School of Engineering and TechnologySunway UniversityJalan UniversitiBandar SunwaySelangor Darul Ehsan47500Malaysia Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11931Jordan

In blood or bone marrow,leukemia is a form of cancer.A person with leukemia has an expansion of white blood cells(WBCs).It primarily affects children and rarely affects *** depends on the type of leukemia and the extent to which cancer has established throughout the *** leukemia in the initial stage is vital to providing timely patient *** image-analysis-related approaches grant safer,quicker,and less costly solutions while ignoring the difficulties of these invasive *** can be simple to generalize Computer vision(CV)-based and image-processing techniques and eradicate human *** researchers have implemented computer-aided diagnosticmethods andmachine learning(ML)for laboratory image analysis,hopefully overcoming the limitations of late leukemia detection and determining its *** study establishes a Marine Predators Algorithm with Deep Learning Leukemia Cancer Classification(MPADL-LCC)algorithm onMedical *** projectedMPADL-LCC system uses a bilateral filtering(BF)technique to pre-process medical *** MPADL-LCC system uses Faster SqueezeNet withMarine Predators Algorithm(MPA)as a hyperparameter optimizer for feature ***,the denoising autoencoder(DAE)methodology can be executed to accurately detect and classify leukemia *** hyperparameter tuning process using MPA helps enhance leukemia cancer classification *** results are compared with other recent approaches concerning various measurements and the MPADL-LCC algorithm exhibits the best results over other recent approaches.

关键词： Leukemia cancer medical imaging image classification deep learning marine predators algorithm

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Dynamical Comparison of Several Third-Order Iterative Methods for Nonlinear Equations

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Computers, Materials & Continua 2021年第5期67卷 1951-1962页

作者： Obadah Said Solaiman Samsul Ariffin Abdul Karim Ishak Hashim Department of Mathematical Sciences Faculty of Science&TechnologyUniversiti Kebangsaan MalaysiaBangi Selangor43600Malaysia Department of Fundamental and Applied Sciences Center for Smart Grid Energy Research(CSMER)Institute of Autonomous SystemUniversiti Teknologi PETRONASBandar Seri IskandarSeri IskandarPerak DR32610Malaysia

There are several ways that can be used to classify or compare iterative methods for nonlinear equations,for instance;order of convergence,informational efficiency,and efficiency *** this work,we use another way,namely the basins of attraction of the *** purpose of this study is to compare several iterative schemes for nonlinear *** the selected schemes are of the third-order of convergence and most of them have the same efficiency *** comparison depends on the basins of attraction of the iterative techniques when applied on several polynomials of different *** a comparison,we determine the CPU time(in seconds)needed by each scheme to obtain the basins of attraction,besides,we illustrate the area of convergence of these schemes by finding the number of convergent and divergent points in a selected range for all *** confirm the fact that basins of attraction differ for iterative methods of different orders,furthermore,they vary for iterative methods of the same order even if they have the same efficiency ***,this leads to the need for a new index that reflects the real efficiency of the iterative scheme instead of the commonly used efficiency index.

关键词： Nonlinear equations iterative methods basins of attraction order of convergence

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Quick unsupervised hyperspectral dimensionality reduction for earth observation: A comparison

arXiv

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arXiv 2024年

作者： Lupu, Daniela Garrett, Joseph L. Johansen, Tor Arne Orlandic, Milica Necoara, Ion Automatic Control and System Engineering Department National University of Science and Technology Politehnica Bucharest Bucharest060042 Romania Center for Autonomous Marine Operations and Systems Norwegian University of Science and Technology Trondheim Norway Department of Engineering Cybernetics Norway Department of Electronic Systems Norway G. Mihoc-C. Iacob Institute of Mathematical Statistics and Applied Mathematics The Romanian Academy Bucharest050711 Romania

Dimensionality reduction can be applied to hyperspectral images so that the most useful data can be extracted and processed more quickly. This is critical in any situation in which data volume exceeds the capacity of the computational resources, particularly in the case of remote sensing platforms (e.g., drones, satellites), but also in the case of multi-year datasets. Moreover, the computational strategies of unsupervised dimensionality reduction often provide the basis for more complicated supervised techniques. Seven unsupervised dimensionality reduction algorithms are tested on hyperspectral data from the HYPSO-1 earth observation satellite. Each particular algorithm is chosen to be representative of a broader collection. The experiments probe the computational complexity, reconstruction accuracy, signal clarity, sensitivity to artifacts, and effects on target detection and classification of the different algorithms. No algorithm consistently outperformed the others across all tests, but some general trends regarding the characteristics of the algorithms did emerge. With half a million pixels, computational time requirements of the methods varied by 5 orders of magnitude, and the reconstruction error varied by about 3 orders of magnitude. A relationship between mutual information and artifact susceptibility was suggested by the tests. The relative performance of the algorithms differed significantly between the target detection and classification tests. Overall, these experiments both show the power of dimensionality reduction and give guidance regarding how to evaluate a technique prior to incorporating it into a processing pipeline. © 2024, CC BY.

关键词： Remote sensing

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Mathematical Model Validation of Search Protocols in MP2P Networks

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Computers, Materials & Continua 2021年第8期68卷 1807-1829页

作者： Ajay Arunachalam Vinayakumar Ravi Moez Krichen Roobaea Alroobaea Saeed Rubaiee Centre for Applied Autonomous Sensor Systems(AASS) Örebro UniversityÖrebroSweden Center for Artificial Intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia Faculty of CSIT Al-Baha UniversitySaudi Arabia ReDCAD LaboratoryUniversity of SfaxTunisia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Industrial and Systems Engineering College of EngineeringUniversity of JeddahJeddahSaudi Arabia

Broadcasting is a basic technique in Mobile ad-hoc network(MANET),and it refers to sending a packet from one node to every other node within the transmission *** is a type of broadcast where the received packet is retransmitted once by every *** naive flooding technique,floods the network with query messages,while the random walk technique operates by contacting the subsets of every node’s neighbors at each step,thereby restricting the search *** of the key challenges in an ad-hoc network is the resource or content discovery problem which is about locating the queried *** earlier works have mainly focused on the simulation-based analysis of flooding,and its variants under a wired ***,there have been some empirical studies in peer-to-peer(P2P)networks,the analytical results are still lacking,especially in the context of P2P systems running over *** this paper,we describe how P2P resource discovery protocols perform badly over *** address the limitations,we propose a new protocol named ABRW(Address Broadcast Random Walk),which is a lightweight search approach,designed considering the underlay topology aimed to better suit the unstructured *** provide the mathematical model,measuring the performance of our proposed search scheme with different widely popular benchmarked search ***,we also derive three relevant search performance metrics,i.e.,mean *** steps needed to find a resource,the probability of finding a resource,and the mean *** message *** validated the analytical expressions through *** simulation results closely matched with our analyticalmodel,justifying our *** proposed search algorithm under such highly dynamic self-evolving networks performed better,as it reduced the search latency,decreased the overall message overhead,and still equally had a good success rate.

关键词： Search protocols random walk MANET P2P networks P2P MANET mathematical model peer-to-peer wireless ad hoc network flooding mobile P2P unstructured P2P NS-2 network simulator

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Analytical Comparison of Resource Search Algorithms in Non-DHT Mobile Peer-to-Peer Networks

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Computers, Materials & Continua 2021年第7期68卷 983-1001页

作者： Ajay Arunachalam Vinayakumar Ravi Moez Krichen Roobaea Alroobaea Jehad Saad Alqurni Centre for Applied Autonomous Sensor Systems(AASS) Örebro UniversityÖrebroSweden Center for Articial Intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia Faculty of CSIT Al-Baha UniversitySaudi Arabia ReDCAD LaboratoryUniversity of SfaxTunisia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Education Technologies College of EducationImam Abdulrahman Bin Faisal UniversitySaudi Arabia

One of the key challenges in ad-hoc networks is the resource discovery *** efciently&quickly the queried resource/object can be resolved in such a highly dynamic self-evolving network is the underlying question?Broadcasting is a basic technique in the Mobile Ad-hoc Networks(MANETs),and it refers to sending a packet from one node to every other node within the transmission *** is a type of broadcast where the received packet is retransmitted once by every *** naive ooding technique oods the network with query messages,while the random walk scheme operates by contacting subsets of each node’s neighbors at every step,thereby restricting the search *** earlier works have mainly focused on the simulation-based analysis of ooding technique,and its variants,in a wired network ***,there have been some empirical studies in peer-to-peer(P2P)networks,the analytical results are still lacking,especially in the context of mobile P2P *** this article,we mathematically model different widely used existing search techniques,and compare with the proposed improved random walk method,a simple lightweight approach suitable for the non-DHT *** provide analytical expressions to measure the performance of the different ooding-based search techniques,and our proposed *** analytically derive 3 relevant key performance measures,i.e.,the *** of steps needed to nd a resource,the probability of locating a resource,and the *** of messages generated during the entire search process.

关键词： Mathematical model MANET P2P networks P2P MANET unstructured search algorithms Peer-to-Peer ad-hoc ooding random walk resource discovery content discovery mobile peer-to-peer broadcast peer

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Decision explanation: Applying contextual importance and contextual utility in affect detection

Decision explanation: Applying contextual importance and con...

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2020 Italian Workshop on Explainable Artificial Intelligence, XAI.it 2020

作者： Fouladgar, Nazanin Alirezaie, Marjan Främling, Kary Department of Computing Science Umeå University Sweden Center for Applied Autonomous Sensor Systems Örebro University Örebro Sweden Aalto University School of Science and Technology Finland

Explainable AI has recently paved the way to justify decisions made by black-box models in various areas. However, a mature body of work in the field of affect detection is still limited. In this work, we evaluate a black-box outcome explanation for understanding humans’ affective states. We employ two concepts of Contextual Importance (CI) and Contextual Utility (CU), emphasizing on a context-aware decision explanation of a non-linear model, mainly a neural network. The neural model is designed to detect the individual mental states measured by wearable sensors to monitor the human user’s well-being. We conduct our experiments and outcome explanation on WESAD and MAHNOB-HCI, as multimodal affect computing datasets. The results reveal that in the first experiment the electrodermal activity, respiration as well as accelorometer and in the second experiment the electrocardiogram and respiration signals contribute significantly in the classification task of mental states for a specific participant. To the best of our knowledge, this is the first study leveraging the CI and CU concepts in outcome explanation of an affect detection model. © 2020 CEUR-WS. All rights reserved.

关键词： Knowledge management

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Nanoslot-Induced Ultrastrong Phonon-Photon and Phonon-Phonon Coupling in Hybrid Organic-Inorganic Perovskites 16

Nanoslot-Induced Ultrastrong Phonon-Photon and Phonon-Phonon...

引用

16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Kim, Dasom Hou, Jin Lee, Geon Agrawal, Ayush Kim, Sunghwan Zhang, Hao Bao, Di Baydin, Andrey Wu, Wenjing Tay, Fuyang Huang, Shengxi Hagenmüller, Daivd Chia, Elbert E. M. Kim, Dai-Sik Seo, Minah Mohite, Aditya D. Kono, Junichiro Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Department of Materials Science and NanoEngineering Rice University HoustonTX77005 United States Sensor System Research Center Korea Institute of Science and Technology Seoul02792 Korea Republic of Department of Physics and Astronomy Seoul National University Seoul08826 Korea Republic of Department of Chemical and Biomolecular Engineering Rice University HoustonTX77005 United States Ulsan44919 Korea Republic of Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore Smalley-Curl Institute Rice University HoustonTX77005 United States Université de Strasbourg Cnrs Strasbourg67000 France KU-KIST Graduate School of Converging Science and Technology Korea University Seoul02841 Korea Republic of Department of Physics and Astronomy Rice University HoustonTX77005 United States

Methods for harnessing vibrational states are desired for phonon-based technologies. We realized ultrastrong coupling of two phonon modes in perovskite materials induced by ultrastrong coupling with a common photonic ... 详细信息

ISBN: (纸本)9798350372076

关键词： Organic-inorganic materials

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Quantitative phase imaging through an ultra-thin lensless fiber endoscope

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Light(Science & Applications) 2022年第8期11卷 1843-1852页

作者： Jiawei Sun Jiachen Wu Song Wu Ruchi Goswami Salvatore Girardo Liangcai Cao Jochen Guck Nektarios Koukourakis Juergen W.Czarske Laboratory of Measurement and Sensor System Technique(MST) TU DresdenHelmholtzstrasse 1801069DresdenGermany Competence Center for Biomedical Computational Laser Systems(BIOLAS) TU DresdenDresdenGermany State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentsTsinghua University100084BeijingChina Institute for Integrative Nanosciences IFW DresdenHelmholtzstraße 2001069DresdenGermany Max Planck Institute for the Science of Light&Max-Planck-Zentrum für Physik und Medizin 91058ErlangenGermany Cluster of Excellence Physics of Life TU DresdenDresdenGermany Institute of Applied Physics TU DresdenDresdenGermany

Quantitative phase imaging(QPI)is a label-free technique providing both morphology and quantitative biophysical information in ***,applying such a powerful technique to in vivo pathological diagnosis remains ***-core fiber bundles(MCFs)enable ultra-thin probes for in vivo imaging,but current MCF imaging techniques are limited to amplitude imaging *** demonstrate a computational lensless microendoscope that uses an ultra-thin bare MCF to perform quantitative phase imaging with microscale lateral resolution and nanoscale axial sensitivity of the optical path *** incident complex light field at the measurement side is precisely reconstructed from the far-field speckle pattern at the detection side,enabling digital refocusing in a multi-layer sample without any mechanical *** accuracy of the quantitative phase reconstruction is validated by imaging the phase target and hydrogel beads through the *** the proposed imaging modality,three-dimensional imaging of human cancer cells is achieved through the ultra-thin fiber endoscope,promising widespread clinical applications.

关键词： fiber phase thin

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From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey

arXiv

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arXiv 2021年

作者： Marra, Giuseppe Dumančić, Sebastijan Manhaeve, Robin De Raedt, Luc KU Leuven Department of Computer Science Leuven.AI Belgium Örebro University Center for Applied Autonomous Sensor Systems Sweden Delft University of Technology Department of Software Technology Netherlands

This survey explores the integration of learning and reasoning in two different fields of artificial intelligence: neurosymbolic and statistical relational artificial intelligence. Neurosymbolic artificial intelligence (NeSy) studies the integration of symbolic reasoning and neural networks, while statistical relational artificial intelligence (StarAI) focuses on integrating logic with probabilistic graphical models. This survey identifies seven shared dimensions between these two subfields of AI. These dimensions can be used to characterize different NeSy and StarAI systems. They are concerned with (1) the approach to logical inference, whether model or proof-based;(2) the syntax of the used logical theories;(3) the logical semantics of the systems and their extensions to facilitate learning;(4) the scope of learning, encompassing either parameter or structure learning;(5) the presence of symbolic and subsymbolic representations;(6) the degree to which systems capture the original logic, probabilistic, and neural paradigms;and (7) the classes of learning tasks the systems are applied to. By positioning various NeSy and StarAI systems along these dimensions and pointing out similarities and differences between them, this survey contributes fundamental concepts for understanding the integration of learning and reasoning. Copyright © 2021, The Authors. All rights reserved.

关键词： Semantics

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EmoACT: a Framework to Embed Emotions into Artificial Agents Based on Affect Control Theory

arXiv

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arXiv 2025年

作者： Corrao, Francesca Nardelli, Alice Renoux, Jennifer Recchiuto, Carmine Tommaso Department of Informatics Bioengineering Robotics and System Engineering Università degli studi di Genova Via all’Opera Pia 13 Genova16145 Italy Center for Applied Autonomous Sensor Systems Örebro University Örebro70182 Sweden

As robots and artificial agents become increasingly integrated into daily life, enhancing their ability to interact with humans is essential. Emotions, which play a crucial role in human interactions, can improve the naturalness and transparency of human-robot interactions (HRI) when embodied in artificial agents. This study aims to employ Affect Control Theory (ACT), a psychological model of emotions deeply rooted in interaction, for the generation of synthetic emotions. A platform-agnostic framework inspired by ACT was developed and implemented in a humanoid robot to assess its impact on human perception. Results show that the frequency of emotional displays impacts how users perceive the robot. Moreover, appropriate emotional expressions seem to enhance the robot’s perceived emotional and cognitive agency. The findings suggest that ACT can be successfully employed to embed synthetic emotions into robots, resulting in effective human-robot interactions, where the robot is perceived more as a social agent than merely a machine. © 2025, CC BY.

关键词： Social robots

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