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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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Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator

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International Journal of Automation and computing 2021年第4期18卷 568-580页

作者： Satyam Paul Ajay Arunachalam Davood Khodadad Henrik Andreasson Olena Rubanenko Department of Engineering Design and Mathematics University of the West of EnglandBristol BS161QYUK Centre for Applied Autonomous Sensor Systems(AASS) Orebro UniversityOrebro 70281Sweden Department of Applied Physics and Electronics Umea UniversityUmea 90187Sweden Regional Innovational Center for Electrical Engineering Faculty of Electrical EngineeringUniversity of West BohemiaPilsen 30100Czech Republic

The implementation of image-based phenotyping systems has become an important aspect of crop and plant science research which has shown tremendous growth over the years. Accurate determination of features using images requires stable imaging and very precise processing. By installing a camera on a mechanical arm driven by motor, the maintenance of accuracy and stability becomes non-trivial. As per the state-of-the-art, the issue of external camera shake incurred due to vibration is a great concern in capturing accurate images, which may be induced by the driving motor of the manipulator. So, there is a requirement for a stable active controller for sufficient vibration attenuation of the manipulator. However, there are very few reports in agricultural practices which use control algorithms. Although, many control strategies have been utilized to control the vibration in manipulators associated to various applications, no control strategy with validated stability has been provided to control the vibration in such envisioned agricultural manipulator with simple low-cost hardware devices with the compensation of non-linearities. So, in this work, the combination of proportional-integral-differential(PID) control with type-2 fuzzy logic(T2-F-PID) is implemented for vibration control. The validation of the controller stability using Lyapunov analysis is established. A torsional actuator(TA) is applied for mitigating torsional vibration, which is a new contribution in the area of agricultural manipulators. Also, to prove the effectiveness of the controller, the vibration attenuation results with T2-F-PID is compared with conventional PD/PID controllers, and a type-1 fuzzy PID(T1-F-PID) controller.

关键词： Proportional-integral-differential(PID)controller fuzzy logic precision agriculture vibration control stability analysis modular manipulator agricultural robot computer numerical control(CNC)farming

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Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps 38

Binding in hippocampal-entorhinal circuits enables compositi...

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38th Conference on Neural Information Processing systems, NeurIPS 2024

作者： Kymn, Christopher J. Mazelet, Sonia Thomas, Anthony Kleyko, Denis Frady, E. Paxon Sommer, Friedrich T. Olshausen, Bruno A. Redwood Center for Theoretical Neuroscience Helen Wills Neuroscience Institute UC Berkeley Berkeley United States Université Paris-Saclay ENS Paris-Saclay Gif-sur-Yvette France Department of Electrical and Computer Engineering UC Davis Davis United States Centre for Applied Autonomous Sensor Systems Örebro University Örebro Sweden Intelligent Systems Lab Research Institutes of Sweden Kista Sweden Intel Labs Santa Clara United States Herbert Wertheim School of Optometry & Vision Science UC Berkeley Berkeley United States

We propose a normative model for spatial representation in the hippocampal formation that combines optimality principles, such as maximizing coding range and spatial information per neuron, with an algebraic framework for computing in distributed representation. Spatial position is encoded in a residue number system, with individual residues represented by high-dimensional, complex-valued vectors. These are composed into a single vector representing position by a similarity-preserving, conjunctive vector-binding operation. Self-consistency between the representations of the overall position and of the individual residues is enforced by a modular attractor network whose modules correspond to the grid cell modules in entorhinal cortex. The vector binding operation can also associate different contexts to spatial representations, yielding a model for entorhinal cortex and hippocampus. We show that the model achieves normative desiderata including superlinear scaling of patterns with dimension, robust error correction, and hexagonal, carry-free encoding of spatial position. These properties in turn enable robust path integration and association with sensory inputs. More generally, the model formalizes how compositional computations could occur in the hippocampal formation and leads to testable experimental predictions. © 2024 Neural information processing systems foundation. All rights reserved.

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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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A Low-Power Voltage-Controlled Current Source for Wearable Bioimpedance Applications

A Low-Power Voltage-Controlled Current Source for Wearable B...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Cherif Ouni Bilel Ghoul Hamdi Al-Shaikhli Jumana Ma'touq Ahmed Fakhfakh Olfa Kanoun Measurement and Sensor Technology Faculty of Electrical Engineering and Information Technology Chemnitz University of Technology Chemnitz Germany Laboratory of Signals Systems Artificial Intelligence and Networks Digital Research Centre of Sfax National School of Electronics and Telecommunications of Sfax Sfax Tunisia Department of Biomedical Engineering School of Applied Medical Sciences (SAMS) German Jordanian University Amman Jordan

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

Bioimpedance spectroscopy (BIS) has gained prominence as a non-invasive diagnostic tool for characterizing biological tissues, offering critical insights into physiological and pathological conditions. At the core of BIS systems lies the Voltage-Controlled Current Source (VCCS), which is essential for ensuring precise and stable current delivery across varying load conditions. This paper investigates a modified dual Howland configuration with load-in-loop compensation designed for low-power applications. By operating at reduced supply voltages (5V) instead of the conventional ±12V, the proposed design addresses the limitations of existing VCCS circuits in portable and wearable medical devices. The study evaluates the performance of the proposed VCCS circuit in a wide range of frequencies (50 kHz to 1 MHz), load conditions (1000 to 18kO), and input signal types (sine, multi-sine, and sine-sweep). Key findings demonstrate stable current output, efficient power consumption, and robust performance at reduced power levels, making it suitable for bioimpedance applications requiring portable operation.

关键词： Performance evaluation Spectroscopy Pathology Power demand Medical devices Circuits Bioimpedance Physiology Wearable devices Voltage control

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Methodological insights from unmanned system technologies in a rock quarry environment and geomining heritage site: coupling LiDAR-based mapping and GIS geovisualisation techniques

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Arabian Journal of Geosciences 2023年第11期16卷 1-18页

作者： Pires, Ana Dias, André Silva, Pedro Ferreira, António Rodrigues, Paulo Santos, Tiago Oliveira, Alexandre Freitas, Liliana Martins, Alfredo Almeida, José Silva, Eduardo Chaminé, Helder I. INESCTEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal Laboratory of Autonomous Systems Department of Electrotechnical Engineering School of Engineering (ISEP) Polytechnic of Porto Porto Portugal Laboratory of Cartography and Applied Geology (Labcarga) Department of Geotechnical Engineering School of Engineering (ISEP) Polytechnic of Porto Porto Portugal Centre GeoBioTec|UA Aveiro Portugal

The main goal of the research is to present a methodological approach based on geotechnologies to acquire, process and analyse high-resolution 3D data to support georesources monitoring and geoheritage site preservation. The work is focused on the unmanned aerial vehicle (UAV) mapping technology with applications in a challenging framework, i.e. rock quarry and geomining heritage sites. The investigation interconnects several ground fields: engineering geosciences, rock engineering, sensing and aerial technology, and data processing systems for acquiring high-resolution imagery. The study couples two technologies: (1) robotic systems and (2) LiDAR-based mapping and GIS geovisualisation techniques. The approach presented herein shows the complementarity between techniques to improve the rock quarry’s geotechnical assessment and geomining heritage site. It was also possible to operate 3D recording technologies to preserve and record ancient mines’ cultural heritage and surroundings. The methodology shows a common ground for an integrated vision for rocky georesources monitoring by applying UAV mapping technologies. The final outputs allowed the image processing, geospatial analysis and 3D ground modelling of the ‘Malaposta’ gneiss quarry (Lourosa) and the Roman mine ‘Fojo das Pombas’ (Valongo), both sites in NW Portugal.

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DARKO-Nav: Hierarchical Risk and Context-Aware Robot Navigation in Complex Intralogistic Environments 16th

DARKO-Nav: Hierarchical Risk and Context-Aware Robot Naviga...

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16th European Robotics Forum, ERF 2025

作者： Stracca, Elena Rudenko, Andrey Palmieri, Luigi Salaris, Paolo Castri, Luca Mazzi, Nicolò Rakcevic, Vasilije Vaskevicius, Narunas Linder, Timm Bellotto, Nicola Schreiter, Tim Zhu, Yufei Castellano Quero, Manuel Napolitano, Olga Stefanini, Elisa Heuer, Lukas Magnusson, Martin Swikir, Abdalla J. Lilienthal, Achim Research Center "E. Piaggio" Department of Information Engineering University of Pisa Pisa Italy Corporate Sector Research and Advance Engineering Robert Bosch GmbH Gerlingen Germany University of Lincoln Lincoln United Kingdom Spindox Labs Povo Italy Technical University of Munich Munich Germany University of Padua Padua Italy Centre for Applied Autonomous Sensor Systems Örebro University Örebro Sweden

ISBN: (纸本)9783031894701

We propose a flexible hierarchical navigation stack for a mobile robot in complex dynamic environments. Addressing the growing need for reliable navigation in real-world scenarios, where dynamic agents and environmental uncertainties pose significant challenges, our solution decomposes this complexity into task planning, navigation, control, and safe velocity components. In contrast to the prior art, our system at every level incorporates diverse contextual information about the environment, anticipates navigation risks and proactively avoids collisions with dynamic agents. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Risk management

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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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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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