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Clinical Informatics System to Understand Lung Cancer Using Transfer Learning-Based computer-Aided Application

Clinical Informatics System to Understand Lung Cancer Using ...

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International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Ahed Abugabah Atif Mehmood Farah Shahid College of Technological Innovation Zayed University Abu Dhabi UAE Dep. of Computer Science and Technology Zhejiang Normal University Jinhua China

Lung cancer is the second leading cause of death worldwide after cardiovascular disease. Due to late diagnosis, lung cancer patients have an extremely low survival rate when compared to other cancer patients. Hence, early lung cancer detection is critical for patients to undergo early therapies, boosting their chances of surviving or potentially becoming cancer-free. Over the past few years, researchers have developed several deep learning-based computer-aided diagnostic tools to detect lung cancer early. As a consequence, deep learning models are readily susceptible to over-fitting for fewer data samples and can be computationally time-consuming to pick hyper-parameters, which usually leads to a reduction in performance. Our proposed technique came up with a solution to this challenge of lung cancer classification tasks that used a layer-wise transfer learning strategy. In this work, three types of data samples such as Lung adenocarcinoma (Lung a), lung squamous cell carcinoma (Lung scc), and lung benign (Lung b) have been taken and implemented models, namely Group-I, II, III with frozen layers and baseline algorithms as VGG-19. To check the validity of the proposed models on lung samples and attain the best classification accuracy on Lung scc vs. Lung b 97.53%, also discriminate between Lung a vs. Lung b testing accuracy 92.59%. In contrast, the remaining Lung scc vs. Lung a attained 89.30%. Finally, a comparison to other studies demonstrating the suggested model superiority over state-of-the-art models in testing accuracy

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Human Dynamic Behavior: Reconstruction Trajectories Using CDRs 2

Human Dynamic Behavior: Reconstruction Trajectories Using CD...

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2nd International Conference on Physics and Applied Sciences, ICPAS 2021

作者： Behadili, Suhad Faisal Mohammed Ali, Israa Abdulqasim University of Baghdad College of Science Computer Science Dep. Baghdad Iraq Middle Technical University Institute of Technology Baghdad Iraq

Investigating the human mobility patterns is a highly interesting field in the 21th century, and it takes vast attention from multi-disciplinary scientists in physics, economic, social, computer, engineering⋯etc. dep.nding on the concept that relates between human mobility patterns and their communications. Hence, the necessity for a rich repository of data has emerged. Therefore, the most powerful solution is the usage of GSM network data, which gives millions of Call Details Records gained from urban regions. However, the available data still have shortcomings, because it gives only the indication of spatio-temporal data at only the moment of mobile communication activities. In this chapter, Gama platform development environment of constructing spatially multi agent simulation is used for modeling and simulating the individual reconstructed trajectories. As a result, the individual trajectories revealed the human daily life patterns. © Published under licence by IOP Publishing Ltd.

关键词： Trajectories

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Experimental Comparison of Global Planners for Trajectory Planning of Mobile Robots in an Unknown Environment with Dynamic Obstacles

Experimental Comparison of Global Planners for Trajectory Pl...

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Human-computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Zehra Tüfekçi Gökhan Erdemir Department of Computer Engineering Istinye University İstanbul Turkiye Department of Computer Science and Engineering Istanbul Sabahattin Zaim University Dep. of Engineering Management & Technology University of Tennessee at Chattanooga Tennessee USA

Interacting with their workspace, detecting obstacles, and real-time path planning in the field to reach the goal in the unknown environment are current working areas of mobile robotics. Working in an unknown environment with dynamic obstacles is a challenging topic for autonomous robots, which need to protect themselves from the dynamic obstacles they encounter, not damage the obstacle, and re-plan their path according to their new position. This study performed an experimental comparison of three different global planners for trajectory planning of mobile robots in an unknown environment with dynamic obstacles. Global Planner, Carrot Planner, and NavfnROS planners in the ROS package were used as global planners in two different mazes with dynamic obstacles. The durations from the start to the goal point in the two designed environments were determined for each global planner.

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Camera-LiDAR Fusion based Object Segmentation in Adverse Weather Conditions for Autonomous Driving

Camera-LiDAR Fusion based Object Segmentation in Adverse Wea...

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International Baltic Electronics Conference, BEC

作者： Junyi Gu Mauro Bellone Artjom Lind Dep. of Mechanical and Industrial Engineering Tallinn University of Technology Tallinn Estonia FinEst Centre for Smart Cities Tallinn University of Technology Tallinn Estonia Institute of Computer Science University of Tartu Tartu Estonia

ISBN: (数字)9798350365115

ISBN: (纸本)9798350365122

This paper presents the results of a series of machine learning experiments that focus on the domain adaption between different training datasets for autonomous driving. The experiments use a neural network model obtained through transfer learning from the Waymo Open Dataset and then tested with our custom dataset, which was recorded at the TalTech campus in different weather conditions. In this work, we developed a set of tools to extract and process the sensory data from the iseAuto shuttle. The camera and LiDAR sensors of the iseAuto shuttle were calibrated, and the point clouds data of the LiDAR sensor was projected onto the camera plane. We present, here, our publicly available iseAuto dataset which was used for a classification task under adverse weather and low illumination conditions. The iseAuto dataset contains 8000 frames of camera and LiDAR data for traffic object detection and segmentation. We provide ground truth annotations of 2400 frames, in which the object contours were manually labeled out. In addition, we provided the manual-labeled ground-truth segmentations of cars and humans in images, which can be used by the community to test the accuracy of the segmentation of their models. An additional focus of this paper is to demonstrate that with a few custom annotated data, using transfer learning and semi-supervised learning, it is possible to obtain reasonable accuracy on noisy real-world data. The current performance in vehicle segmentation ranges from 65% to 85% in intersection over union (IoU) and between 43% and 60% IoU for pedestrian segmentation in challenging scenarios such as nighttime and rainy weather.

关键词： Point cloud compression Laser radar Accuracy Transfer learning Object segmentation Semisupervised learning Cameras Sensors Autonomous vehicles Meteorology

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CCDF measurement with Multi Impairment of Wi-Fi 6 performance using MATLAB Simulink

CCDF measurement with Multi Impairment of Wi-Fi 6 performanc...

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Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), International Conference on

作者： Fatima Faydhe Al-Azzawi Rasha Hassan Abbas Zainab Faydhe Al-Azzawi Kamal Y. Kamal Electronics Technical Department Institute of Technology Middle Technical University MTU Baghdad Iraq Dep. Computer Technology Engineering AL- Mansour university college Iraq

The current 802.11ac WiFi standard is built upon and improved by WiFi 6, commonly referred to as “AX WiFi” or “802.11ax WiFiIn response to the increasing number of gadgets in the globe, WiFi 6 was first developed. If you have numerous smart home devices, VR equipment, or a lot of other gadgets, WiFi 6 employs a 160 MHz Channel to offer a channel that larger and providing by 1024-QAM to more data with one packed, increasing efficiency. In this paper 802.11 ax design and implemented in MATLAB Simulink where CCDF measurement (Complementary Cumulative Distribution Function measure the probability that a signal's instantaneous power may exceed its target level or average power) with multi-impairment performance illustrated using 1024-QAM to offer a packed signal with increasing data and a channel with160 MHz, 1024 QAM examined with AWGN and Rayliegh fading channel in term of bit error rate.

关键词： Power measurement Phase measurement Quadrature amplitude modulation Software packages Bit error rate Measurement uncertainty IEEE 802.11ax Standard

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Exploring Genetic Programming Models in computer-Aided Diagnosis of Skin Cancer Images

Exploring Genetic Programming Models in Computer-Aided Diagn...

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Congress on Evolutionary Computation

作者： Qurrat UI Ain Harith Al-Sahaf Bing Xue Mengjie Zhang School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand Dep. of Cybersecurity Engineering College of Engineering and Info. Technology AlShaab University Baghdad Iraq

ISBN: (数字)9798350308365

ISBN: (纸本)9798350308372

Extracting important information from complex skin lesion images is vital to effectively distinguish between different types of skin cancer images. In addition to providing high classification performance, such computer-aided diagnostic methods are needed where the models are interpretable and can provide knowledge about the discriminative features in skin lesion images. This underlying information can significantly assist dermatologists in identifying a particular stage or type of cancer. With its flexible representation and global search abilities, Genetic Programming (GP) is an ideal learning al-gorithm to evolve interpretable models and identify important features with significant information to discriminate between skin cancer classes. This paper provides an in-dep.h analysis of a recent GP-based feature learning method where different well-developed feature descriptors are integrated into the learning algorithms to extract high-level features for skin cancer image classification. The study explores the effectiveness of utilizing feature learning for this complex task and designing program structure to suit the problem domain as it has shown promising results compared to commonly used feature descriptors and an existing GP-based feature learning method developed for general image classification. This study analyzes the GP-evolved models to identify the prominent features and most effective feature descriptors important for the classification of these skin cancer images. The evolved models are interpretable, they provide knowledge that can assist dermatologists in making diagnoses in real-time clinical situations by identifying prominent skin cancer characteristics captured by the feature descriptors and learned during the evolutionary process.

关键词： Representation learning Visualization Computational modeling Genetic programming Feature extraction Skin Lesions

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Examining Spurious Information through Text Categorization Methods

Examining Spurious Information through Text Categorization M...

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Cybernetics and Innovations (ICCI), International Conference on

作者： Watcharin Warinthaksa Worawut Yimyam Mahasak Ketcham Thittaporn Ganokratanaa Thidarat Pinthong Rajamangala University Of Technology Rattanakosin Nakhonprathom Thailand Dep. of Business Information Management Phetchaburi Rajabhat University Phetchaburi Thailand Dep. of Management Information System King Mongkut’s University of Technology North Bangkok Bangkok Thailand Applied Computer Science Program King Mongkut’s University of Technology Thonburi Bangkok Thailand

ISBN: (数字)9798350370096

ISBN: (纸本)9798350370102

In recent years, deceptive content such as fake news and fake reviews, also known as opinion spams, have increasingly become a dangerous prospect for online users. Fake reviews have affected consumers and stores alike. Furthermore, the problem of fake news has gained attention in 2016, especially in the aftermath of the last U.S. presidential elections. Fake reviews and fake news are a closely related phenomenon as both consist of writing and spreading false information or beliefs. The opinion spam problem was formulated for the first time a few years ago, but it has quickly become a growing research area due to the abundance of user‐generated content. It is now easy for anyone to either write fake reviews or write fake news on the web. The biggest challenge is the lack of an efficient way to tell the difference between a real review and a fake one; even humans are often unable to tell the difference. In this paper, we introduce a new n‐gram model to detect automatically fake contents with a particular focus on fake reviews and fake news.

关键词： Training Technological innovation Social networking (online) Voting Unsolicited e-mail User-generated content Text categorization

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Health home-monitoring system based on IoT 7

Health home-monitoring system based on IoT

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7th IEEE International Symposium on Electrical and Electronics Engineering, ISEEE 2021

作者： Ionescu, Bogdan Craciun, Marian Petrea, George Epure, Silviu Arama, Catalin Vlad, Ciprian 'Dunarea de Jos' University of Galati Dep. of IT and Digital Communications Romania 'Dunarea de Jos' University of Galati Dep. of Computer Science and Information Technology Romania 'Dunarea de Jos' University of Galati Dep. of Electronics and Telecommunications Romania 'Dunarea de Jos' University of Galati Dep. of Automation and Electrical Engineering Romania

ISBN: (纸本)9781665437998

The recent COVID-19 pandemic highlighted that there is a lot of work to do regarding the integration of digital technologies in healthcare. Actual trending offers the possibility to patients to have permanent knowledge about their health status and not to go to have a general check when some symptoms appear. Internet of Things (IoT) has also reached the medical area and can offer high quality solutions. After this step is taken the data collected and stored locally or remote in the cloud cand be easily reached, analyzed and health monitoring for each patient is much improved. © 2021 IEEE.

关键词： Internet of things

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Next Generation Image Watermarking via Combined DWT-SVD Technique 2

Next Generation Image Watermarking via Combined DWT-SVD Tech...

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2nd International Conference on Cyber Resilience, ICCR 2024

作者： Al-Na'amneh, Qais Almomani, Ammar Nasayreh, Ahmad Nahar, Khalid M.O. Gharaibeh, Hasan Al Mamlook, Rabia Emhamed Alauthman, Mohammad Applied Science Private University Department Of Cyber Security Amman Jordan School Of Computing Skyline University College P.O. Box 1797 Sharjah United Arab Emirates AlHuson University College AlBalqa Applied University I. T. Department Irbid Jordan Yarmouk University Department Of Computer Sciences Irbid211633 Jordan Yarmouk University Faculty Of Information Technology Computer Sciences Irbid211633 Jordan Trine University Dep. Of Business Administration IN United States University Of Zawia Dep.of Mechanical And Industrial Engineering Tripoli Libya University Of Petra Faculty Of Information Technology Department Of Information Security Amman Jordan

ISBN: (纸本)9798350394962

Personal computers and the Internet are used in different areas and are easier to use. Most data is easy to transmit and duplicate in digital format, and being tampered with and stolen easily leads to issues for content owners and service providers. The Paper describes a secure (tampering-resistant) method for watermarking images for protection and authentication and digital media like audio, video, and multimedia data, and a combination of singular value decomposition (SVD) and Discrete wavelet transform (DWT) for insertion watermark by MATLAB to increase accuracy, simplicity, and flexibility Readability, secure robustness, and imperceptibility the visibility of the image. The proposed algorithm consists of three main steps: Firstly, we decomposed the original image into four sub-bands and the original watermark. Secondly, embed the watermark in the LL sub-band by replacing the singular value for the watermark. Finally, embed a watermark in the other three sub-bands by adding LL values for a watermark in each sub-band in the original image. © 2024 IEEE.

关键词： Discrete wavelet transforms

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Challenges and Solutions of 5G technology 4

Challenges and Solutions of 5G Technology

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4th International Iraqi Conference on Engineering technology and Their Applications, IICETA 2021

作者： Thabit, Ahmed A. Abd, Bassam H. Alkhayyat, Ahmed Computer Communication Department Al-Rafidain University College Baghdad Iraq University of Technology Baghdad Iraq Dep. of Computer Technical Engineering College of Technical Engineering Islamic University Najaf Iraq

ISBN: (纸本)9781665494618

Mobile access innovation is experiencing a progressive change. Every mobile generation witnessed fast and huge execution upgrades. These are proportional with the requests of the massive data increasing over the last years. There is significant strain to characterize the vital necessities of 5G, create 5G principles and perform innovation preliminaries as fast as could really be expected. 5G needs a progressive jump forward regarding information rates, inactivity, huge availability, network unwavering quality and energy efficiency. These capacities are focused at acknowledging rapid network, IoT, increased augmented experience, the material web, etc. The prerequisites for 5G are need to be done by new range in the microwave groups and using enormous data transfer capacities accessible in mm-wave groups, expanding spatial levels of opportunity by means of huge radio wire clusters and 3D MIMO and new waveforms that give versatility and adaptability in order to fulfill fluctuating needs of 5G administrations. In this paper, we introduce a review for 5G exploration, normalization preliminaries, and organization challenges. Because of gigantic extent of 5G frameworks, it is important to give some bearing in an instructional exercise article, and in this outline, the center is generally client driven, as opposed to gadget driven. Notwithstanding studying the condition of play in the region, we distinguish driving innovations, assessing their qualities and shortcomings, and framework the critical difficulties ahead, with research proving grounds conveying promising execution. © 2021 IEEE.

关键词： Data transfer

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