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Covid-19 Detection Using Deep Correlation-Grey Wolf Optimizer

computer systems science & engineering 2023年第9期46卷 2933-2945页

作者： K.S.Bhuvaneshwari Ahmed Najat Ahmed Mehedi Masud Samah H.Alajmani Mohamed Abouhawwash Department of Computer Science and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Computer Engineering Lebanese French UniversityErbil44001Iraq Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Technology College of Computer and Information TechnologyTaif UniversityPO Box 11099Taif21994Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast Lansing48824MIUSA

The immediate and quick spread of the coronavirus has become a life-threatening disease around the *** widespread illness has dramatically changed almost all sectors,moving from offline to online,resulting in a new normal lifestyle for *** impact of coronavirus is tremendous in the healthcare sector,which has experienced a decline in the first quarter of *** pandemic has created an urge to use computer-aided diagnosis techniques for classifying the Covid-19 dataset to reduce the burden of clinical *** current situation motivated me to choose correlationbased development called correlation-based grey wolf optimizer to perform accurate classification.A proposed multistage model helps to identify Covid from Computed Tomography(CT)scan *** first process uses a convolutional neural network(CNN)for extracting the feature from the CT *** Pearson coefficient filter method is applied to remove redundant and irrelevant ***,theGrey wolf optimizer is used to choose optimal *** analysis proves that this determines the optimal characteristics to detect the deadly *** proposed model’s accuracy is 14%higher than the krill herd and bacterial foraging optimization for severe accurate respiratory syndrome image(SARS-CoV-2 CT)*** COVID CT image dataset is 22%higher than the existing krill herd and bacterial foraging optimization *** proposed techniques help to increase the classification accuracy of the algorithm in most cases,which marks the stability of the stated *** analysis reveals that the proposed classification technique to predict COVID-19 withmaximumaccuracy of 98%outperforms other competitive approaches.

关键词： COVID-19 feature selection CT image classification features extraction

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An Efficient Hybrid PAPR Reduction for 5G NOMA-FBMC Waveforms

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computers, Materials & Continua 2021年第12期69卷 2967-2981页

作者： Arun Kumar Sivabalan Ambigapathy Mehedi Masud Emad Sami Jaha Sumit Chakravarty Kanchan Sengar Department of Electronics and Communication Engineering JECRC UniversityJaipur303905India Center for System Design Chennai Institute of TechnologyIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Electrical and Computer Engineering Kennesaw State UniversityGAUSA

The article introduces Non-Orthogonal Multiple Access(NOMA)and Filter Bank Multicarrier(FBMC),known as hybrid waveform(NOMAFBMC),as two of the most deserving contenders for fifth-generation(5G)*** spectrum access and clampdown of spectrum outflow are unique characteristics of hybrid *** compare the spectral efficiency of Orthogonal Frequency Division Multiplexing(OFDM),FBMC,NOMA,and *** is seen that the hybrid waveform outperforms the existing *** to Average Power Ratio(PAPR)is regarded as a significant issue in multicarrier *** combination of Selective Mapping-Partial Transmit Sequence(SLM-PTS)is an effective way to minimize large peak power *** SLM,PTS,and SLM-PTS procedures are applied to the NOMA-FBMC *** hybrid structure is applied to the existing ***,the correlated factors like Bit Error Rate(BER)and Computational Overhead(CO)are studied and computed for these *** outcome of the work reveals that the NOMA-FBMC waveform coupled with the SLM-PTS algorithm offers superior performance as compared to the prevailing systems.

关键词： 5G NOMA-FBMC SLM-PTS PAPR BER OFDM

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A new two level hierarchy structuring for node partitioning in ad hoc networks 10

A new two level hierarchy structuring for node partitioning ...

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25th Annual ACM Symposium on Applied Computing, SAC 2010

作者： Nacéra, Benaouda Hervé, Guyennet Ahmed, Hammad Mohammed, Mostefai Department of Computer Science Sétif Automatic Laboratory Faculty of Engineering Science Sétif Algeria Laboratory of Engineering Science University of Franche Comté Besancon France Department of Automatic Sétif Automatic Laboratory Faculty of Engineering Science Sétif Algeria

ISBN: (纸本)9781605586380

A big challenge in designing a distributed application is the partitioning which consists of optimizing the system component inter-communication. In this paper we introduce a new approach of Ad Hoc network group formation based on two level hierarchy structure: many groups with one leader per group at the first level and a super-leader for the whole network at the second one. We worked on the minimization of the communication between nodes by the choice of decent metrics in group formation as well as in leader and super-leader elections. Moreover the designed algorithm is validated by simulation results and then verified by model checking. In addition, a re-organization strategy and the principle of communication protocols will be presented. © 2010 ACM.

关键词： Ad hoc networks

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MobNas ensembled model for breast cancer prediction

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Scientific reports 2025年第1期15卷 18238页

作者： Tariq Shahzad Sheikh Muhammad Saqib Tehseen Mazhar Muhammad Iqbal Ahmad Almogren Yazeed Yasin Ghadi Mamoon M Saeed Habib Hamam Department of Computer Engineering COMSATS University Islamabad Sahiwal Campus Sahiwal 57000 Pakistan. Department of Computing and Information Technology Gomal University D.I.Khan 29050 Pakistan. School of Computer Science National College of Business Administration and Economics Lahore 54000 Pakistan. tehseenmazhar719@***. Department of Computer Science School Education Department Government of Punjab Layyah 31200 Pakistan. tehseenmazhar719@***. Department of Computer Science College of Computer and Information Sciences King Saud University Riyadh 11633 Saudi Arabia. Department of Computer Science and Software Engineering Al Ain University Abu Dhabi 12555 United Arab Emirates. Department of Communications and Electronics Engineering Faculty of Engineering University of Modern Sciences (UMS) Sanaa 00967 Yemen. dr.mamoon@***. Faculty of Engineering Uni de Moncton Moncton NB E1A3E9 Canada. School of Electrical Engineering University of Johannesburg Johannesburg 2006 South Africa. International Institute of Technology and Management (IITG) Av. Grandes Ecoles BP 1989 Libreville Gabon. College of Computer Science and Eng. (Invited Prof.) University of Ha'il Ha'il 55476 Saudi Arabia.

Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosing this devastating disease early, accurately, and in a simpler manner. Thus, while substantial progress has been made in developing machine learning algorithms, deep learning, and transfer learning models, issues with diagnostic accuracy and minimizing diagnostic errors persist. This paper introduces MobNAS, a model that uses MobileNetV2 and NASNetLarge to sort breast cancer images into benign, malignant, or normal classes. The study employs a multi-class classification design and uses a publicly available dataset comprising 1,578 ultrasound images, including 891 benign, 421 malignant, and 266 normal cases. By deploying MobileNetV2, it is easy to work well on devices with less computational capability than is used by NASNetLarge, which enhances its applicability and effectiveness in other tasks. The performance of the proposed MobNAS model was tested on the breast cancer image dataset, and the accuracy level achieved was 97%, the Mean Absolute Error (MAE) was 0.05, and the Matthews Correlation Coefficient (MCC) was 95%. From the findings of this research, it is evident that MobNAS can enhance diagnostic accuracy and reduce existing shortcomings in breast cancer detection.

关键词： Deep learning Machine learning Matthews correlation coefficient Mean absolute error MobileNetV2 NASNetLarge Transfer learning

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Parameter control of EAs using exploration and exploitation measures: Preliminary results 5

Parameter control of EAs using exploration and exploitation ...

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5th International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2012

作者： Liu, Shih-His Črepinšek, Matej Mernik, Marjan Cardenas, Adam Department of Computer Science California State University Fresno United States Faculty of Electrical Engineering and Computer Science University of Maribor Slovenia

ISBN: (纸本)9789612640439

This paper introduces a parameter control approach that utilizes recently introduced exploration and exploitation measures as feedback to adaptively control evolution processes. Schwefel's Problem 2.22 and Shekel's Foxholes Function are selected as benchmark functions to show the competence and usefulness of the measures. The paper shows that with new exploration and exploitation measures, the evolution processes generate relatively well results in terms of fitness and/or convergence rate.

关键词： Process control

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The Lawn Mowing Problem: From Algebra to Algorithms 31

The Lawn Mowing Problem: From Algebra to Algorithms

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31st Annual European Symposium on Algorithms, ESA 2023

作者： Fekete, Sándor P. Krupke, Dominik Perk, Michael Rieck, Christian Scheffer, Christian Department of Computer Science TU Braunschweig Germany Faculty of Electrical Engineering and Computer Science Bochum University of Applied Sciences Bochum Germany

ISBN: (纸本)9783959772952

For a given polygonal region P, the Lawn Mowing Problem (LMP) asks for a shortest tour T that gets within Euclidean distance 1/2 of every point in P;this is equivalent to computing a shortest tour for a unit-diameter cutter C that covers all of P. As a generalization of the Traveling Salesman Problem, the LMP is NP-hard;unlike the discrete TSP, however, the LMP has defied efforts to achieve exact solutions, due to its combination of combinatorial complexity with continuous geometry. We provide a number of new contributions that provide insights into the involved difficulties, as well as positive results that enable both theoretical and practical progress. (1) We show that the LMP is algebraically hard: it is not solvable by radicals over the field of rationals, even for the simple case in which P is a 2 × 2 square. This implies that it is impossible to compute exact optimal solutions under models of computation that rely on elementary arithmetic operations and the extraction of kth roots, and explains the perceived practical difficulty. (2) We exploit this algebraic analysis for the natural class of polygons with axis-parallel edges and integer vertices (i.e., polyominoes), highlighting the relevance of turn-cost minimization for Lawn Mowing tours, and leading to a general construction method for feasible tours. (3) We show that this construction method achieves theoretical worst-case guarantees that improve previous approximation factors for polyominoes. (4) We demonstrate the practical usefulness beyond polyominoes by performing an extensive practical study on a spectrum of more general benchmark polygons: We obtain solutions that are better than the previous best values by Fekete et al., for instance sizes up to 20 times larger. © Sándor P. Fekete, Dominik Krupke, Michael Perk, Christian Rieck, and Christian Scheffer.

关键词： Approximation algorithms

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Gloffer - Framework for the implementation of portal solutions for E-commerce 13

Gloffer - Framework for the implementation of portal solutio...

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13th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2015

作者： Fasuga, Radoslav Rydel, Jiri Kubanda, Eduard Micanin, Jan Pilik, Vaclav Stastna, Pavla Tyn, Ondrej Rodek, Michal Pincik, Andrej Department of Computer Science Faculty of Electrical Engineering and Computer Science VŠB Technical University of Ostrava Ostrava-Poruba Czech Republic

ISBN: (纸本)9781467385343

This paper describes the development framework Gloffer (Global Offer). Framework is designed in the form of generic design and it can implement any e-commerce site. In the article discusses the development model of the entire Framework and the subsequent implementation of various commercial modules. Solution includes the technological aspect, focusing on the implementation of modern technology, multilingual versions and different methods to scan over the extensive dynamically changing collections of structured and text data (Big Data). It describes the strategy development within a university environment spilling over into the commercial sphere. They discussed how the methods of analysis framework and individual modules, the choice of appropriate implementation of technology and process itself implementation. In the next part of the article discusses the didactic and educational aspect of the entire solution, with by binding to students, teaching and integration into solutions within individual projects, dissertations and theses. In Finally, it presents feedback from development process, evaluation of student achievements and opportunities for further development and improvement. © 2015 IEEE.

关键词： Electronic commerce

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Multi-objective Optimal Operation of Centralized Battery Swap Charging System with Photovoltaic

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Journal of Modern Power systems and Clean Energy 2022年第1期10卷 149-162页

作者： Yuanzheng Li Yihan Cai Tianyang Zhao Yun Liu Jian Wang Lei Wu Yong Zhao School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhanChina School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore College of Mechatronics and Control Engineering Shenzhen UniversityShenzhenChina Department of Electrical&Computer Engineering Stevens Institute of TechnologyHobokenUSA

Electric vehicles(EVs)are widely deployed throughout the world,and photovoltaic(PV)charging stations have emerged for satisfying the charging demands of EV *** paper proposes a multi-objective optimal operation method for the centralized battery swap charging system(CBSCS),in order to enhance the economic efficiency while reducing its adverse effects on power *** proposed method involves a multi-objective optimization scheduling model,which minimizes the total operation cost and smoothes load fluctuations,***,we modify a recently proposed multi-objective optimization algorithm of non-sorting genetic algorithm III(NSGA-III)for solving this scheduling ***,simulation studies verify the effectiveness of the proposed multi-objective operation method.

关键词： Multi-objective optimization electric vehicle battery swap charging system scheduling photovoltaic

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Pre-Whitened Dithered Signed-Error constant modulus algorithm for efficient blind channel equalization

Pre-Whitened Dithered Signed-Error constant modulus algorith...

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ICIECA 2005: International Conference on Industrial Electronics and control Applications 2005

作者： Butt, Naveed R. Cheded, L. Systems Engineering Department College of Computer Science and Engineering King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

ISBN: (纸本)0780394194

Blind channel equalization has gained great importance in the world of communications. Among a large number of available blind equalization algorithms, the CMA (Constant Modulus Algorithm) enjoys widespread popularity because of its LMS-like complexity and robustness. Two important improvements on the CMA performance are the Dithered Signed-Error CMA (DSE-CMA) and the Pre-Whitened CMA (PW-CMA). The DSE-CMA is an approach to reduce the computational complexity of the CMA while retaining its robustness and the PW-CMA aims at improving the convergence rate of the CMA in case of channels exhibiting large frequency response deviations. In this paper we review the two approaches and propose a new scheme combining the virtues of the two. The combined scheme is computationally simpler than the PW-CMA and provides better convergence than the DSE-CMA. It is particularly suited for the situations where ill-convergence needs to be treated with minimum additional complexity and without loss of robustness. © 2005 IEEE.

关键词： Blind equalization

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Breather waves, analytical solutions and conservation laws using Lie–Bäcklund symmetries to the (2 + 1)-dimensional Chaffee–Infante equation

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Journal of Ocean engineering and science 2023年第2期8卷 145-151页

作者： Abdullahi Yusuf Tukur Abdulkadir Sulaiman Alrazi Abdeljabbar Marwan Alquran Department of Computer Engineering Biruni University IstanbulTurkey Faculty of Science Federal University DutseJigawaNigeria Department of Mathematics Khalifa University for Science and TechnologyAbu DhabiUAE Department of Mathematics and Statistics Jordan University of Science and TechnologyIrbidJordan

The(2+1)-dimensional Chaffee–Infante has a wide range of applications in science and engineering,including nonlinear fiber optics,electromagnetic field waves,signal processing through optical fibers,plasma physics,coastal engineering,fluid dynamics and is particularly useful for modeling ion-acoustic waves in plasma and sound *** this paper,this equation is investigated and analyzed using two effective *** well-known tanh-coth and sine-cosine function schemes are employed to establish analytical solutions for the equation under *** breather wave solutions are derived using the Cole–Hopf *** addition,by means of new conservation theorem,we construct conservation laws(CLs)for the governing equation by means of Lie–Bäcklund *** novel characteristics for the(2+1)-dimensional Chaffee–Infante equation obtained in this work can be of great importance in nonlinear sciences and ocean engineering.

关键词： Extended tanh-coth method Sine-cosine function method Soliton solutions Breather wave solutions Conservation laws

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