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Breast Cancer Detection using Machine Learning Algorithms 利用机器学习算法检测乳腺癌
Journal of Computers, Mechanical and Management Pub Date : 2023-12-31 DOI: 10.57159/gadl.jcmm.2.6.230109
Bhoomi Jain, Neetu Singla
{"title":"Breast Cancer Detection using Machine Learning Algorithms","authors":"Bhoomi Jain, Neetu Singla","doi":"10.57159/gadl.jcmm.2.6.230109","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.6.230109","url":null,"abstract":"Machine learning employs classification methods on datasets. The Machine Learning repository provided the cancer datasets that were used in this study, which were used for categorization. Breast cancer databases come in two varieties. There are various numbers of characteristics dispersed among these datasets. Breast cancer observes around 14% of all female cancers. One in every 28 women will develop breast cancer. To analyse patterns in datasets, machine learning algorithms like SVM, KNN, and decision trees are used. Computers are able to ``learn'' from their past mistakes and come up with solutions that are difficult for humans to come up with. According to the study, there are many effective algorithms for analysing the properties of data sets. This study compares and implements several well known classification methods, including Decision Trees, K Nearest Neighbor, SVM, Bayesian Network, and Naive Bayes on the Wisconsin Diagnostic dataset by calculating its classification accuracy, and its sensitivity and specificity value.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":" 1012","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139136705","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
Enhanced Shopping Experiences 增强购物体验
Journal of Computers, Mechanical and Management Pub Date : 2023-12-31 DOI: 10.57159/gadl.jcmm.2.6.230110
Ipshita Datta, Anjali Garg, Anu Tonk, Pankaj Rakheja
{"title":"Enhanced Shopping Experiences","authors":"Ipshita Datta, Anjali Garg, Anu Tonk, Pankaj Rakheja","doi":"10.57159/gadl.jcmm.2.6.230110","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.6.230110","url":null,"abstract":"Over the past decade, the Internet has revolutionized the way we shop, with the rise of e Commerce allowing us to buy products online through platforms like Amazon and Flipkart. However, traditional physical markets are still growing and offer a personal shopping experience. This project aims to create a Smart Shopping Cart that can be used in supermarkets to address common customer issues such as waiting in long queues for billing and overspending. This technology reduces the burden on cashiers by automatically calculating the total cost of the items in the cart. The Smart Cart provides a fast and efficient service, reducing congestion at the checkout counter and saving time and effort during the accounting process. The items in the cart are scanned for price and barcode details and the cost of each item is calculated and sent to an Arduino devi ce. In traditional Indian markets, customers place items in a cart and then stand in a queue for billing, but this Smart Cart eliminates the need for this step.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":"67 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139132502","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
Evaluating the Advantages and Challenges of Mobile Ad-Hoc Networks 评估移动 Ad-Hoc 网络的优势和挑战
Journal of Computers, Mechanical and Management Pub Date : 2023-10-31 DOI: 10.57159/gadl.jcmm.2.5.230100
Priya Poonia, Laxmi Narayan Balai
{"title":"Evaluating the Advantages and Challenges of Mobile Ad-Hoc Networks","authors":"Priya Poonia, Laxmi Narayan Balai","doi":"10.57159/gadl.jcmm.2.5.230100","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.5.230100","url":null,"abstract":"Mobile Ad-Hoc Networks (MANETs) are decentralized assemblies of mobile nodes, including smartphones, laptops, iPads, and PDAs, that operate autonomously, contrasting with conventional wireless networks. These networks dynamically adapt their topology and routing tables as nodes join or leave, ensuring a seamless data packet transmission. This article aims to provide a comprehensive overview of MANETs, elucidating their advantages, challenges, and diverse applications. Unlike traditional networks that require a centralized administrator, MANETs enable mobile nodes to exchange data packets solely through wireless links. However, the volatile topologies and limited resources challenge establishing a power-efficient and secure routing system. This study introduces a reliable routing mechanism considering network power consumption and node reputation. Utilizing a Krill Herd-based Grasshopper Optimization Algorithm (KH-GOA), in conjunction with a reputation model, the proposed system establishes a trustworthy route between the origin and destination nodes. The reputation model considers node mobility, actual capabilities, historical performance, and peer reviews. Upon evaluating these reputation metrics, the KH-GOA method is employed, amalgamating the Krill Herd (KH) and Grasshopper Optimization Algorithm (GOA) techniques. The proposed KH-GOA-based routing protocol considers multi-objective criteria like reputation, power efficiency, distance, and latency for optimal route selection.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139307119","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
Enhancing Aluminum Matrix Composites with Hexagonal Boron Nitride (hBN) Particulates 用六方氮化硼（hBN）微粒增强铝基复合材料的性能
Journal of Computers, Mechanical and Management Pub Date : 2023-10-31 DOI: 10.57159/gadl.jcmm.2.5.23089
H. Singh, Kapil Singh, Sachit Vardhan
{"title":"Enhancing Aluminum Matrix Composites with Hexagonal Boron Nitride (hBN) Particulates","authors":"H. Singh, Kapil Singh, Sachit Vardhan","doi":"10.57159/gadl.jcmm.2.5.23089","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.5.23089","url":null,"abstract":"This present mini review article elucidates the role of hexagonal boron nitride (hBN) particulates in enhancing the properties of aluminum matrix composites (AMCs). The article delves into various methodologies for incorporating hBN, such as powder metallurgy and stir casting, emphasizing theoretical aspects and process parameters. It synthesizes data from numerous studies to illustrate improvements in mechanical and tribological properties imparted by hBN. Furthermore, the article provides a theoretical analysis of the distribution of hBN within the aluminum matrix and its impact on composite performance. Future research directions are outlined, including exploration of novel composite materials and advanced manufacturing techniques. The environmental implications of utilizing hBN in AMCs are also discussed, highlighting sustainability and recyclability concerns. This review is a significant resource for researchers and industry professionals in material science, offering insights into current trends and future potentials of hBN-enhanced AMCs.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139308290","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
Revolutionizing Organ Donation With Blockchain Technology 利用区块链技术彻底改变器官捐赠方式
Journal of Computers, Mechanical and Management Pub Date : 2023-10-31 DOI: 10.57159/gadl.jcmm.2.5.23071
Vedant Jayesh Momaya, B. Z. Hameed, Kinju Adhikari, Mayukh Das, Ali Talyshinskii, Nithesh Naik, BK Somani, Piotr Chlosta, B. Rai
{"title":"Revolutionizing Organ Donation With Blockchain Technology","authors":"Vedant Jayesh Momaya, B. Z. Hameed, Kinju Adhikari, Mayukh Das, Ali Talyshinskii, Nithesh Naik, BK Somani, Piotr Chlosta, B. Rai","doi":"10.57159/gadl.jcmm.2.5.23071","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.5.23071","url":null,"abstract":"Amidst a critical shortage in organ donations, with over 120,000 individuals on the waiting list compared to a mere 8,000 annual donors, blockchain technology emerges as a beacon of innovation for the organ donation ecosystem. Originally the bedrock of cryptocurrencies like Bitcoin, blockchain has since traversed beyond the financial sector, exhibiting potential for securing medical records, authenticating pharmaceuticals, and mitigating fraudulent practices within healthcare. It presents a decentralized ledger that not only ensures data integrity and immutability but also fosters transparent and efficient donor-recipient matching through smart contracts. Despite the promising applications, the adoption of blockchain in healthcare confronts challenges including interoperability, data security, and regulatory hurdles. The present article encapsulates the transformative impact of blockchain, particularly within organ transplantation, and underscores the necessity for further research to surmount the barriers to its implementation. As blockchain technology continues to evolve, its capacity to reconcile the demand-supply disparity in organ donations is anticipated to save numerous lives, revolutionizing the healthcare landscape.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139308748","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
Intelligent Cloudlet Scheduling for Optimized Execution Time in Cloud Computing Environments 优化云计算环境中执行时间的智能小云调度
Journal of Computers, Mechanical and Management Pub Date : 2023-10-31 DOI: 10.57159/gadl.jcmm.2.5.23074
Anamika Yadav, Hridesh Varshney, Sarvesh Kumar
{"title":"Intelligent Cloudlet Scheduling for Optimized Execution Time in Cloud Computing Environments","authors":"Anamika Yadav, Hridesh Varshney, Sarvesh Kumar","doi":"10.57159/gadl.jcmm.2.5.23074","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.5.23074","url":null,"abstract":"Cloud computing has become a cornerstone of modern IT infrastructure, offering scalable and flexible resources. However, efficient resource management, particularly cloudlet scheduling, presents a significant challenge due to its NP-hard nature. This paper introduces a novel heuristic-based cloudlet scheduling algorithm aimed at minimizing execution time and improving load balancing in cloud computing environments. We detail the development and implementation of the algorithm, along with a simulation setup using the CloudSim toolkit to evaluate its performance against existing methods. Results from extensive simulations demonstrate that the proposed algorithm consistently reduces turnaround times, thus optimizing resource allocation. The findings suggest that our approach can significantly impact cloud computing efficiency, paving the way for improved service provider offerings and user satisfaction. The implications of these advancements are discussed, alongside potential directions for future research in dynamic cloud environments.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139307069","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
Optimizing Task Scheduling in Cloud Computing Environments using Hybrid Swarm Optimization 利用混合群优化技术优化云计算环境中的任务调度
Journal of Computers, Mechanical and Management Pub Date : 2023-10-31 DOI: 10.57159/gadl.jcmm.2.5.23076
Niraj Kumar, Upasana Dugal, Akanksha Singh
{"title":"Optimizing Task Scheduling in Cloud Computing Environments using Hybrid Swarm Optimization","authors":"Niraj Kumar, Upasana Dugal, Akanksha Singh","doi":"10.57159/gadl.jcmm.2.5.23076","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.5.23076","url":null,"abstract":"Cloud computing has revolutionized the Information Technology (IT) landscape by offering on-demand access to a shared pool of computing resources over the internet. Effective task scheduling is pivotal in optimizing resource utilization and enhancing the overall performance of cloud systems. Tasks are allocated to virtual machines (VMs) based on a server's workload capacity, aiming to minimize traffic congestion and waiting times. Although Particle Swarm Optimization (PSO) is currently the most effective algorithm for task scheduling in cloud environments, this study introduces a Hybrid Swarm Optimization (HSO) algorithm that combines the strengths of PSO and Salp Swarm Optimization (SSO). The proposed hybrid algorithm addresses the challenges associated with task scheduling in cloud computing. The performance of the HSO algorithm is evaluated using the CloudSim simulator and compared against traditional scheduling algorithms. Simulation results indicate that the hybrid PSO-SSO algorithm outperforms existing methods regarding makespan time, cloud throughput, and task execution efficiency. Consequently, the hybrid approach significantly improves resource utilization and overall system performance in cloud computing environments.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139307895","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
A Comprehensive Review of Aluminium Matrix Composite Reinforced with hBN Particulates hBN颗粒增强铝基复合材料的研究进展
Journal of Computers, Mechanical and Management Pub Date : 2023-09-05 DOI: 10.57159/gadl.jcmm.2.4.23089
H. Singh
{"title":"A Comprehensive Review of Aluminium Matrix Composite Reinforced with hBN Particulates","authors":"H. Singh","doi":"10.57159/gadl.jcmm.2.4.23089","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.4.23089","url":null,"abstract":"Aluminum alloys are widely employed due to their advantageous combination of properties, including light weight, corrosion resistance, and mechanical strength. These alloys consist predominantly of aluminum with small additions of other elements aimed at enhancing specific characteristics. Ceramic reinforcements like hBN, SiC, Al2O3, and B4C are added to aluminum alloys to make better their mechanical and wear resistance properties. This practice is frequent and enhances the overall performance of the resulting composite materials. The addition of ceramic reinforcements, incorporated into an aluminum matrix, leads to improved strength and stiffness of the composite. This aspect is particularly advantageous in scenarios necessitating high mechanical strength, such as aerospace and automotive components. The review focuses on the effects of hexagonal boron nitride (hBN) reinforcement on composite materials, particularly aluminum alloys. It emphasizes that the properties of these composites can vary based on several factors, including particle size, weight percentage of hBN, and the processing techniques used. The key points addressed in the study include the impact of hBN reinforcement on mechanical behavior (strength and micro-hardness) and wear resistance behavior of the resulting aluminum alloy composites.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125458686","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
A Critical Review of Mechanical and Wear Resistance Characterizations on Developed Aluminium Matrix Composite Reinforced with MgO Particulates MgO颗粒增强铝基复合材料力学性能和耐磨性研究进展
Journal of Computers, Mechanical and Management Pub Date : 2023-09-04 DOI: 10.57159/gadl.jcmm.2.4.23088
Hartaj Singh
{"title":"A Critical Review of Mechanical and Wear Resistance Characterizations on Developed Aluminium Matrix Composite Reinforced with MgO Particulates","authors":"Hartaj Singh","doi":"10.57159/gadl.jcmm.2.4.23088","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.4.23088","url":null,"abstract":"The implementation of GST led to a notable transformation in taxation for different sectors, such as Indian handicrafts, but its contribution to sustainability in this industry requires more investigation. This research aims to uncover and analyze the role of Goods and Services Tax (GST) in promoting sustainability within the Indian handicrafts sector. By utilizing secondary data sources, the study seeks to provide insights into the mechanisms through which GST contributes to sustainable growth and development in this culturally significant industry. Thus, the study reveals how GST helps promote sustainability in the Indian handicrafts sector through various dimensions, including simplifying tax procedures and fostering innovation, emphasizing the strategic significance of GST in supporting sustainable growth. Thus, the study further suggests more future research that could complement these findings with primary data collection to provide a more comprehensive understanding of the practical implications of GST on sustainability within the Indian handicrafts sector.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":"335 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128486837","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
Exploring Marine Prospects for Entrepreneurship and Innovation 探索海洋创业创新前景
Journal of Computers, Mechanical and Management Pub Date : 2023-09-04 DOI: 10.57159/gadl.jcmm.2.4.23095
Shwetakshi Mishra
{"title":"Exploring Marine Prospects for Entrepreneurship and Innovation","authors":"Shwetakshi Mishra","doi":"10.57159/gadl.jcmm.2.4.23095","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.4.23095","url":null,"abstract":"The marine system is diverse and highly unexplored, thus providing ample opportunities for young researchers and entrepreneurs to dive into the oceans and build innovative technologies and products for sustainable living. The present review summarizes various commercial and research-based entrepreneurship scopes that could be fruitful for self-reliance and the betterment of nature and humankind. The review also highlights missing areas that need more innovations to utilize marine resources for a better future sustainably.","PeriodicalId":372188,"journal":{"name":"Journal of Computers, Mechanical and Management","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120952446","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
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