Multimedia Research最新文献_第5页

Hybrid Flower Pollination Algorithm and Binary Particle Swarm Optimization Algorithm for Osteosarcoma Detection 骨肉瘤检测的杂交授粉算法和二元粒子群优化算法

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v4i4.a1

Manaswi Sachin Kulkarni

{"title":"Hybrid Flower Pollination Algorithm and Binary Particle Swarm Optimization Algorithm for Osteosarcoma Detection","authors":"Manaswi Sachin Kulkarni","doi":"10.46253/j.mr.v4i4.a1","DOIUrl":"https://doi.org/10.46253/j.mr.v4i4.a1","url":null,"abstract":": Generally, Osteosarcoma is represented as malignant bone sarcoma which is typified by an extensive genomic disruption and a proclivity for metastatic extend. Due to the early recognition, Osteosarcoma raises the human beings' survival rate. During the early phase, several Osteosarcoma recognition approaches are developed in order to recognize the Osteosarcoma, however, evaluating the slides in the microscope to identify the tumor necrosis degree and tumor outcome is an important challenge in the medical segment. Therefore, an effectual recognition approach is modeled by exploiting the adopted Hybrid Flower Pollination algorithm with the Binary Particle Swarm Optimization algorithm based Generative Adversarial Network (FPO-BPSO based GAN) to detect the osteosarcoma during the initial phase. Moreover, the adopted FPO-BPSO is modeled using the combination of FPA and BPSO, correspondingly. As a result, the classification of the important tumor, non-tumor, as well as necrotic tumor is performed using GAN by exploiting the histology image slides. GAN is exploited to carry out the osteosarcoma recognition based on features extracted from the image via the cell segmentation process. The GAN training process is performed by exploiting the adopted Hybrid FPO-BPSO approach. Nevertheless, the adopted FPO-BPSO attained superior performance by exploiting the measures, like accuracy, sensitivity, and specificity.","PeriodicalId":167187,"journal":{"name":"Multimedia Research","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128082522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Hybrid Optimization Algorithm for Image Compression 一种高效的图像压缩混合优化算法

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v2i4.a1

Santosh Kumar

{"title":"An Efficient Hybrid Optimization Algorithm for Image Compression","authors":"Santosh Kumar","doi":"10.46253/j.mr.v2i4.a1","DOIUrl":"https://doi.org/10.46253/j.mr.v2i4.a1","url":null,"abstract":"In this work, a novel image compression approach is developed that is processed in several series of technologies. Here, the first process is the image segmentation and it is done using Adaptive ACM that partitions or segments the image into two regions such as ROI as well as nonROI. Here, the adaptiveness of this ACM is determined with the idea of optimization algorithm. To handle the ROI regions, the JPEG-LS technique is exploited and to handle the non-ROI region the wavelet-based lossy compression technique is utilized. The outcome of both the JPEG-LS technique, as well as a wavelet-based compression approach is integrated with respect to the bit-stream amalgamation in order to produce the compressed image. Then, the compressed image is exploited to the image decompression that will be the overturn process of compression. It will comprise the bitstream separation that is subsequently individually process in both the wavelet-based decomposition and JPEG-LS decoding for obtaining the non-ROI regions and ROI. At last, the original image is obtained accurately. Moreover, the main objective of this paper falls in the adaptiveness under optimization. The maximum iteration and weighting factor in ACM are optimally chosen and for this a novel hybrid optimization technique is proposed, which hybridizes the concept of Differential Evolution method with Monarch Butterfly Optimization Algorithm. Here, the proposed method is compared with the conventional methods in order to shows its effectiveness for image compression.","PeriodicalId":167187,"journal":{"name":"Multimedia Research","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132809583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

An Innovative Prototype for Diagnosing and Treatment of Breast Cancer: A Case Study of Specialist Hospital Gombe 一种创新的乳腺癌诊疗模式——以贡贝专科医院为例

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v5i2.a1

引用次数: 1

A Novel Enhanced Modular-Based Neural Network Framework for Effective Medical Diagnosis 一种新的增强的基于模块的神经网络框架用于有效的医学诊断

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v5i4.a2

Egba, A Fraser, R O Obikwelu, I Blessing

引用次数: 0

Optimization Driven Distributed Deep Learning for Aqua Status Prediction in IoT 物联网中水状态预测的优化驱动分布式深度学习

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v6i1.a1

J Rajeshwar

引用次数: 0

Channel Estimation in MIMO-OFDM by Improved Crow Search Algorithm 基于改进Crow搜索算法的MIMO-OFDM信道估计

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v4i4.a4

Vinay Bandaru

{"title":"Channel Estimation in MIMO-OFDM by Improved Crow Search Algorithm","authors":"Vinay Bandaru","doi":"10.46253/j.mr.v4i4.a4","DOIUrl":"https://doi.org/10.46253/j.mr.v4i4.a4","url":null,"abstract":": Multiple Input Multiple Output (MIMO) is exploited by the current mobile telecommunication systems with the cooperative of Orthogonal Frequency Division Multiplexing (OFDM) that is renowned as MIMO-OFDM to present sturdiness as well as superior spectrum effectiveness. In this case, the main significant confront is to attain a precise channel estimation in order to recognize the information symbols, if the receiver should possess Channel State Information (CSI) in order to balance as well as the procedure the received signal. Therefore, a competent approach is developed by developing the Improved Crow Search algorithm (ICSO) to enhance the MIMO-OFDM system performance in multimedia applications. Additionally, in the MU-MIMO system user admission control is performed by exploiting the priority-based scheduling based on Cat and Mouse Optimization algorithm (CMO) approach which is combined in the STBC-MIMO-OFDM system for competent power allocation to make sure energy effectiveness. In addition, the fitness metrics like priority, power, throughput, and Proportionally Fair are calculated. The simulation is performed in diverse fading environments with three modulation strategies, such as QPSK, BPSK, and QAM with the performance measures, like BER and throughput. The proposed model outperforms the conventional models with minimum BER and maximum throughput.","PeriodicalId":167187,"journal":{"name":"Multimedia Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129246810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Ecological Approach to Measuring User Experience (UX) from Facial Expressions 从面部表情衡量用户体验(UX)的生态方法

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v5i3.a4

Zahid Hasan

引用次数: 0

A Study on Integration of Applied Artificial Intelligence in Accounting, Finance, Insurance, and E-Commerce Sectors 应用人工智能在会计、金融、保险和电子商务领域的集成研究

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v5i2.a3

Parimalendu Bandyopadhyay

引用次数: 0

Multispectral and Hyperspectral Image Fusion: A Systematic Analysis and Review with the State of Art Techniques 多光谱与高光谱图像融合技术的系统分析与综述

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v5i4.a1

G. Srishailam

引用次数: 0

Classification of ADHD with the Functional Connectivity by Usage of Different Atlases in Lahore, Pakistan 利用不同地图集对巴基斯坦拉合尔ADHD的功能连通性进行分类

Multimedia Research Pub Date : 1900-01-01 DOI: 10.46253/j.mr.v6i3.a4

Fahad Saddique, R. Hasan, Salman Mahmood, Nauman Mushtaq

{"title":"Classification of ADHD with the Functional Connectivity by Usage of Different Atlases in Lahore, Pakistan","authors":"Fahad Saddique, R. Hasan, Salman Mahmood, Nauman Mushtaq","doi":"10.46253/j.mr.v6i3.a4","DOIUrl":"https://doi.org/10.46253/j.mr.v6i3.a4","url":null,"abstract":": Attention Deficit-Hyperactivity Disorder (ADHD) is a psychiatric condition that affects children’s abilities. Nowadays computational diagnosis strategies of neuropsychiatric disorders are gaining more attention. Diagnosing this disorder based on fMRI is critical to determine the brain’s Functional Connectivity (FC). Millions of children have the symptoms of this disease.The brain is notoriously unreliable for diagnosing neurological conditions. This condition is referred to as a chronic disease.A great number of youngsters exhibit signs of this disease. As a result, the study endeavored to come up with a model and design that is both reliable and accurate for diagnosing ADHD.A variety of techniques used in this present study, such as the local binary encoding method (LBEM) is utilized for future extraction, and the hierarchical extreme learning machine (HELM)is used to extract information on the connectivity functionalities of the brain.To validate our approach, the data of One hundred fifty-three children serve as a sample for the diagnosis, from which one hundred children are ultimately determined to have ADHD.These affected ADHD children are used for our experimental purpose. According to the findings of the research, the results are based on comparing various Atlases given as AAL, CC200, and CC400. Our model gainssuperior performance with CC400 when comparedwith other Atlases.","PeriodicalId":167187,"journal":{"name":"Multimedia Research","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132863690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0