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共 7040 条记录，以下是701-710 订阅

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Evaluating Resource Allocation Strategies in Mobile Ad Hoc Networks with Cloud Computing Algorithms

Evaluating Resource Allocation Strategies in Mobile Ad Hoc N...

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2024 International Conference on E-Mobility, Power Control and Smart Systems, ICEMPS 2024

作者： Pillai, Sanjaikanth E. Vadakkethil Somanathan Jindal, Mayank Mimani, Sushant Jiwani, Nasmin Kiruthiga, T. School of Electrical Engineering and Computer Science University of North Dakota Grand Forks United States San Jose CA United States GoDaddy SnohomishWA United States University of The Cumberlands Dept. of Information Technology WilliamsburgKY United States Vetri Vinayaha College of Engineering and Technology Dept. of Ece Trichy India

ISBN: (纸本)9798350394399

Cellular advert Hoc Networks (MANETs) is self-organizing wireless networks that lack the physical infrastructure and centralized manage of conventional networks. With a purpose to enable powerful communiqué, it's miles important to deal with the resource allocation problem in MANETs. Recently, Cloud Computing algorithms were used to evaluate aid allocation techniques in MANETs. Those algorithms contain sampling strategies, which include nearest neighbor, Monte Carlo, and hybrid strategies, to optimize the useful resource utilization levels. This allows for a more correct assessment of the to be had assets in MANETs. Moreover, these algorithms also can be carried out to autonomously control and time table communication flows with a view to improve standard network performance. This paper affords an outline of the existing aid allocation techniques and their evaluation in MANETs the usage of cloud computing algorithms. It also discusses the impacts of the useful resource control selections in MANETs and the challenges confronted in deploying cloud computing algorithms in these settings. Lastly, a fixed of future studies directions is proposed to in addition improve resource allocation techniques in MANETs. © 2024 IEEE.

关键词： Cloud computing

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A 200/400 GHz Cascode SiGe Voltage-Controlled Oscillator Exploiting Harmonic Optimization Technique for mmWave Applications

A 200/400 GHz Cascode SiGe Voltage-Controlled Oscillator Exp...

引用

International Workshop on Integrated Nonlinear Microwave and Millimeterwave Circuits, INMMIC

作者： Mehran Khanehbeygi Giorgio Tatangelo Leonardo Pantoli Giorgio Leuzzi Dept. of Industrial and Information Engineering & Economics University of L’Aquila L’Aquila Italy Dept. of Information Engineering Computer Science and Mathematics University of L’Aquila L’Aquila Italy

ISBN: (数字)9798331519605

ISBN: (纸本)9798331519612

This brief presents a Voltage-Controlled Oscillator (VCO) for operation in the mmWave frequency range. The VCO is based on the Colpitts topology, utilising SiGe:C 130 nm bipolar devices. Unlike traditional configurations, the proposed VCO simultaneously provides both a differential output at the fundamental frequency (200 GHz) and a push-push output at the second harmonic (400 GHz). The overall performance is significantly enhanced through the implementation of an innovative Second Harmonic Extraction Network (SHEN), which efficiently captures and utilizes the second harmonic for improved output power and efficiency.

关键词： Microwave measurement Network topology Voltage-controlled oscillators Power system harmonics Harmonic analysis Topology Millimeter wave communication Power generation Tuning Silicon germanium

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Genetic Testing of Huntington's Disease by Facial Examination of a Mankind using AI Programs 3

Genetic Testing of Huntington's Disease by Facial Examinatio...

引用

3rd International Conference on Innovations in computer science and Software engineering, ICONICS 2022

作者： Atruba Feroze, S. Faiza Nasim, S. NED University of Engineering and Technology Dept.of Computer and Information System Engineering Karachi Pakistan NED University of Engineering and Technology Dept. of Computer Science and I.T NEDUET Karachi Pakistan

ISBN: (纸本)9781665461412

This Genetic disorder is considered as one of the major challenges faced by Medical sciences as it is inherited by humans from one generation to another. With an increasing number of natives of the World at a higher rate, it causes a major impact on information society socially and economically during their lifetime. The citizens of Pakistan and Indian sub continents are facing genomic disease in probably high frequency as compared to other continents. Occurrence of congenital diseases in Pakistan results in higher percentages of unusual genetic diseases especially in children. After analyzing all the current scenarios, some goals and objectives were settled in order to facilitate and give general awareness to people. The objectives of systematic review are evaluation of diagnostic accuracy of AI for the identification of genome contributions to the pathogenesis of Huntington's disease through facial probe AI to accurately identify genetic disorders. The narrative review is performed in Ned University. In this proceeding sequence, 30 cases of both Normal and Genetically affected Patients were documented in which some certain sorts of tests were performed by using facial recognition. For this FR test, at first a combo list of information of all six emotions of a human being i.e. (Happy, Sorrow, Amazed, Fear, Anger, Revulsion) is gathered in the form of mutated images, which was then later be arranged into a pseudo-random order. Now with the help of Vision Technology we have applied some CV Techniques for the extraction of large pattern sets of features. Lastly the purpose of ML and DL techniques is to receive and compare those morphed image data from the Facial Database in order to identify each of six different emotions of HDNormal Person. This whole procedure is conducted in real time. Hence in this way we may recognize the HD genetic disorder among the people in an efficient way. The detailed procedure is explained in the Methodology section of this narrative revi

关键词： Genome

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A 200/400 GHz Cascode SiGe Voltage-Controlled Oscillator Exploiting Harmonic Optimization Technique for mmWave Applications

A 200/400 GHz Cascode SiGe Voltage-Controlled Oscillator Exp...

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2025 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2025

作者： Khanehbeygi, Mehran Tatangelo, Giorgio Pantoli, Leonardo Leuzzi, Giorgio University of L'Aquila Dept. of Industrial and Information Engineering & Economics L'Aquila Italy University of L'Aquila Computer Science and Mathematics Dept. of Information Engineering L'Aquila Italy

ISBN: (纸本)9798331519605

关键词： Colpitts MMIC mmWave Oscillator SiGe

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Ultrasound Localization Microscopy Imaging by Monodisperse Microbubble Uncoupling: First Experimental Study

Ultrasound Localization Microscopy Imaging by Monodisperse M...

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IEEE International Symposium on Applications of Ferroelectrics (ISAF)

作者： Giulia Tuccio Lisa Te Winkel Corinne Bruggeman Wim Van Hoeve Libertario Demi Dept. of Information Engineering and Computer Science University of Trento Italy Solstice Pharmaceuticals Enschede The Netherlands

ISBN: (数字)9798350371901

ISBN: (纸本)9798350371918

Ultrasound Localization Microscopy allows the characterization of micro-vascular structures by precisely localizing and tracking microbubbles (MBs) injected in the circulation. ULM-generated images possess a sub-millimetric resolution, overcoming the ultrasound’s resolution limit set by diffraction. However, ULM requires low MBs concentrations to ensure isolated MBs signals. While low concentrations ensure MBs’ localization precision, they lead to long acquisition times to fully cover the vascular structures in the region of interest. These prolonged acquisition times are not practical in the clinical setting. Here, towards the increase of MBs concentrations, we demonstrate the feasibility of uncoupling two monodisperse MB populations. The uncoupling is performed by means of a signal processing pipeline, which deploys the strong non-linear response of MBs having resonance frequency tuned with the transmission frequency. Density and flow direction maps are produced after data acquisition in a 3D-printed phantom and demonstrate the capability of uncoupling the two selected MB populations. The ability to discriminate different MBs populations mitigates ULM’s low concentration requirement, allowing higher MBs concentrations, ultimately alleviating the need of long acquisition times for microvascular imaging.

关键词： Location awareness Ultrasonic imaging Image resolution Microscopy Pipelines Resonant frequency Phantoms Resonance Signal resolution Frequency control

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A Study on Reinforcement Learning in Tri-Othello

A Study on Reinforcement Learning in Tri-Othello

引用

International computer Symposium (ICS)

作者： Yang Ho Chang Chen Dept. of Computer Science and Information Engineering National Taipei University New Taipei City Taiwan

ISBN: (数字)9798331509071

ISBN: (纸本)9798331509088

The game of Tri-Othello is a newly designed three-player board game inspired by Othello. This paper modifies the rules of Tri-Othello to reduce the learning curve for human players while maintaining its fun and fairness. We implemented a game-playing program using reinforcement learning with the revised rules and compared its playing strength with a version based on the max n search algorithm. Our experimental results showed that the trained reinforcement learning model performed better than the max n -based program.

关键词： Computational modeling Games Reinforcement learning

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Transfer Learning-based Facial Expression Recognition with modified ResNet50

Transfer Learning-based Facial Expression Recognition with m...

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2022 IEEE World Conference on Applied Intelligence and Computing, AIC 2022

作者： Petluru, Surya Singh, Pradeep National Institute of Tecnology Dept. Information Technology Raipur India National Institute of Technology Dept Computer Science & Engineering Raipur India

ISBN: (数字)9781665479882

ISBN: (纸本)9781509050017

Facial Expression Recognition System (FER) is a crucial task for applications like computer vision. It is very significant for the machine to observe and recognize human emotional changes. Recognizing facial expressions is a very challenging domain of research due to the complexity in extracting facial features from an image. In this paper, we developed a Transfer Learning model in which three additional convolution layers are combined after the freezed pre-trained ResNet50 convolution blocks. The convolutional layers added are of different sizes so that low and high-level features can be extracted. The features extracted from the convolution layers are flattened and multi-class classification is done by fully connected layers in the network. The FER2013 dataset is used for training and testing the proposed model. We obtained an accuracy of 85% using the model and the results are compared with existing face expression models. © 2022 IEEE.

关键词： Convolution

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neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction

neuROSym: Deployment and Evaluation of a ROS-based Neuro-Sym...

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IEEE Conference on Cybernetics and Intelligent Systems

作者： Sariah Mghames Luca Castri Marc Hanheide Nicola Bellotto School of Computer Science University of Lincoln UK Dept. of Information Engineering University of Padua Italy

ISBN: (数字)9798350364194

ISBN: (纸本)9798350364200

Autonomous mobile robots can rely on several human motion detection and prediction systems for safe and efficient navigation in human environments, but the underline model architectures can have different impacts on the trustworthiness of the robot in the real world. Among existing solutions for context-aware human motion prediction, some approaches have shown the benefit of integrating symbolic knowledge with state-of-the-art neural networks. In particular, a recent neuro-symbolic architecture (NeuroSyM) has successfully embedded context with a Qualitative Trajectory Calculus (QTC) for spatial interactions representation. This work achieved better performance than neural-only baseline architectures on offline datasets. In this paper, we extend the original architecture to provide neuROSym, a ROS package for robot deployment in real-world scenarios, which can run, visualise, and evaluate previous neural-only and neuro-symbolic models for motion prediction online. We evaluated these models, NeuroSyM and a baseline SGAN, on a TIAGo robot in two scenarios with different human motion patterns. We assessed accuracy and runtime performance of the prediction models, showing a general improvement in case our neuro-symbolic architecture is used. We make the neuROSym package 1 publicly available to the robotics community.

关键词： Visualization Runtime Accuracy Tracking Navigation Neural networks Random access memory

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Malware Detection across Clusters

Malware Detection across Clusters

引用

Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), International Conference

作者： Manjushree C V A.N. Nandakumar Dept. of information science & Engineering Vemana Institute of Technology India Dept. of Computer science & Engineering City Engineering College India

Due to diverse software vulnerabilities and hardware attacks, user credentials are vulnerable or could land in demilitarized zones. An attempt is made to explore and finally proposed a trust based malware detection based on optimal data classification. An improved glowworm swarm optimization (IGWSO) algorithm is proposed for clustering in the input dataset into different groups. After clustering, recurrent deep neural network based computation is used for deriving different trust levels for cloud information that classify the suspected intrusion. The proposed TMD system implemented in java with cloudsim tool evidently discovers the effectiveness of the algorithm over existing state of art systems on the parameters of high detection, precision, recall and F-measures.

关键词： Deep learning Knowledge engineering Java Simulation Neural networks Software algorithms Clustering algorithms

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Increasing Microbubble Concentrations in Microvascular Imaging via Microbubble Separation by means of Orthogonal Frequency Division Multiplexing

Increasing Microbubble Concentrations in Microvascular Imagi...

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IEEE International Symposium on Applications of Ferroelectrics (ISAF)

ISBN: (数字)9798350371901

ISBN: (纸本)9798350371918

Ultrasound Localization Microscopy (ULM) is a medical imaging modality enabling ultrasound to resolve mi-crovascular structures at clinically relevant dept.s. The microscopic resolution of ULM-generated images is ensured by the precise localization and tracking of injected ultrasound microbubbles (MBs). However, precise MBs’ localization relies on the presence of isolated MBs signals, which practically translates into a low MBs concentration constraint. Considering this constraint and the low perfusion in small vessels, ULM’s time for micro-vessels imaging substantially elongates. Such long acquisition times are not practical in the clinical context and are contributing to slowing ULM’s clinical transition. To overcome the limit on low MBs concentrations, we introduce two monodisperse MB populations, which are separable through Orthogonal Frequency Division Multiplexing (OFDM). Results in a flow channel phantom demonstrate the feasibility of uncoupling the two MB populations. Thus, the proposed approach might alleviate the requirement of low MBs concentration, ultimately allowing for faster microvascular imaging.

关键词： Location awareness Ultrasonic imaging Image resolution OFDM Microscopy Resonant frequency Frequency division multiplexing Signal resolution Frequency control Testing

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