检索结果-内蒙古大学图书馆

17th INDIACom;2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023

作者： Dewan, Ritu Polishetty, Rohith Jagadam, Naveen Ravulakollu, Kiran Kumar Goyal, Mayank Kumar Sharan, Bhagwati Galgotias College of Engineering and Technology Department of Computer Science and Engineering Greater Noida India Sr. Software Engineer Migo India Limited Hyderabad India Ceo N2force Technologies Inc. NapervilleIL60563 United States School of Technology Woxsen University Hyderabad India School of Engineering and Technology Sharda University Department of Computer Science and Engineering Greater Noida India School of Engineering and Sciences Srm University Department of Computer Science and Engineering AP Amaravati India

ISBN: (纸本)9789380544472

Social media and online platforms have become an integral part of the day-to-day life of the people and the organizations, which shows a lot of diversity. Many online platforms allow users to share media extensively, like images, videos, and audio but not all the media content shared on the internet is safe for work or should be restricted from particular platforms. Images with nudity are of big concern when it comes to online media sharing and social platforms must take serious measures to restrict users to share images with nudity. The rate of growth of nudity content over the internet or social media is very high. It affects the mental and physical health of individuals. In this paper, a novel method for nudity detection in images is presented. We aim to develop a Machine Learning algorithm for nudity detection in a community networking platform and how it should be integrated with such a platform so that posted images can be thoroughly checked for nudity and if detected how it should be dealt with. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Social networking (online)

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-based Classification of Lung CT Scan for Accurate Cancer Diagnosis 7

Deep Learning-based Classification of Lung CT Scan for Accur...

引用

7th International Conference on Inventive Computation Technologies, ICICT 2024

作者： Sujatha, D.Christy Lakshmi, T.R. Vijaya Surya, G. Surendar, U. Rajendiran, M. Maranan, Ramya Periyar Maniammai Institute of Science And Technology Department of Software Engineering Tamail Nadu Thanjavur India Mahatma Gandhi Institute of Technology Department of Electronics And Communication Engineering Telangana Hyderabad India K. Ramakrishnan College of Engineering Department of Computer Science And Engineering Tamil Nadu Tiruchirappalli India Srm Institute of Science And Technology Department of Electronics And Communication Engineering Tamil Nadu Chennai India Panimalar Engineering College Department of Computer Science And Engineering Chennai Tamil Nadu Poonamallee India Saveetha School of Engineering SIMATS Department of Research And Innovation Tamil Nadu Chennai India

ISBN: (纸本)9798350359299

This paper investigates the suitability of advanced deep learning models for precise diagnosis of lung cancer from MRI images. Recurrent neural networks (RNN), K-Nearest Neighbors (KNN), ResNet50, and convolutional neural networks (CNN) were all carefully evaluated to determine their unique contributions. The CNN showed off its good performance and capacity to recognize intricate patterns in lung images, achieving an accuracy of 92.3%. KNN demonstrated competitive results, demonstrating the adaptability of non-parametric methods for medical image classification. Remarkably, ResNet50 fared extremely well, exhibiting a remarkable accuracy of 94.8% and verifying the value of deep residual networks in differentiating between intricate features. RNNs gave the analysis a temporal dimension and contributed to its 89.5% accuracy. Information from confusion matrices containing comprehensive classification results was useful in refining the model. Spatial representations of expected cancer cell locations showed the effectiveness of the models by giving doctors visual cues for targeted interventions. Comparisons with the literature show that the results are in line with recent developments in deep learning for medical image analysis. Because of its comprehensive assessment of different deep learning architectures, which provides fresh perspectives that advance the field of lung cancer detection technologies, this work is an invaluable resource for future research. © 2024 IEEE.

关键词： computerized tomography

来源：评论

学校读者我要写书评

暂无评论

Towards continues code recommendation and implementation system: An Initial Framework 20

Towards continues code recommendation and implementation sys...

引用

24th Evaluation and Assessment in software engineering Conference, EASE 2020

作者： Akbar, Muhammad Azeem Huang, Zhiqiu Yu, Zhou Mehmood, Faisal Hussain, Yasir Hamza, Muhammad Department of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China School of Information and Communication Engineering Zhengzhou University China School of Software Engineering Chongqing University Chongqing China

ISBN: (纸本)9781450377317

In the current era, the auto and reliable recommendation system plays a significant role in human life. The code recommender systems are being used in various source code databases to recommend the most suitable source code to the user. While code recommendation, the code analysis concerning 'code quality' and 'code implementation' is important to recommend the most reliable code by considering the objective of the user. The ultimate aim of this research work is to propose a code recommendation and implementation model using the characteristics of DevOps that assist in extracting, analyzing, implementing, and updating the recommender system continuously. The current study presents an initial framework of the proposed code recommender model. The design of the model is based on the data collected through literature review and by conducting an empirical study with experts. We believe that the proposed model will assist the researchers and practitioners to recommend the most secure and suitable source code according to their requirement. © 2020 ACM.

关键词： Recommender systems

来源：评论

学校读者我要写书评

暂无评论

Business modeling with the support of multiple notations in requirements engineering

Business modeling with the support of multiple notations in ...

引用

14th Pacific Asia Conference on Information Systems, PACIS 2010

作者： Bhuiyan, Moshiur Krishna, Aneesh OptInfra Systems Australia Decision Systems Laboratory School of Computer Science and Software Engineering University of Wollongong NSW 2522 Australia Department of Computing Faculty of Science and Engineering Curtin University of Technology Perth WA 6102 Australia

Requirements specification should not be concerned only with the software specification, but should also be able to integrate with the organizational models describing the environment in which the system will function. Agent-oriented conceptual modeling notations such as i* represents an interesting approach for modeling early phase requirements which includes organizational contexts, stakeholder intentions and rationale. Business Process Modeling notations such as BPMN are used to effectively conceptualize and communicate important process characteristics to relevant stakeholders. On the other hand, Unified Modeling Language (UML) is suitable for later phases of requirement capture which usually focus on completeness, consistency, and automated verification of functional requirements for the new system. In this paper, we illustrate the use of a methodology that facilitate and support the combined use of notation for modeling requirement engineering process in a synergistic fashion in a complex project for a large government department. The notations we used were i*, BPMN and UML Use Case.

关键词： Unified Modeling Language

来源：评论

学校读者我要写书评

暂无评论

Modified Metaheuristics with Transfer Learning Based Insect Pest Classification for Agricultural Crops

引用

computer Systems science & engineering 2023年第9期46卷 3847-3864页

作者： Saud Yonbawi Sultan Alahmari T.Satyanarayana murthy Ravuri Daniel E.Laxmi Lydia Mohamad Khairi Ishak Hend Khalid Alkahtani Ayman Aljarbouh Samih M.Mostafa Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia King Abdul Aziz City for Science and Technology RiyadhKingdom of Saudi Arabia Chaitanya Bharathi Institute of Technology HyderabadTelanganaIndia Department of Computer Science and Engineering Prasad V.Potluri Siddhartha Institute of TechnologyVijayawadaIndia Department of Computer Science and Engineering GMR Institute of TechnologyAndhra PradeshRajamIndia School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenangMalaysia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of Computer Science University of Central AsiaNarynKyrgyzstan Faculty of Computers and Information South Valley UniversityQenaEgypt

Crop insect detection becomes a tedious process for agronomists because a substantial part of the crops is damaged,and due to the pest attacks,the quality is *** are the major reason behind crop quality degradation and diminished crop ***,accurate pest detection is essential to guarantee safety and crop *** identification of insects necessitates highly trained taxonomists to detect insects precisely based on morphological ***,some progress has been made in agriculture by employing machine learning(ML)to classify and detect *** study introduces a Modified Metaheuristics with Transfer Learning based Insect Pest Classification for Agricultural Crops(MMTL-IPCAC)*** presented MMTL-IPCAC technique applies contrast limited adaptive histogram equalization(CLAHE)approach for image *** neural architectural search network(NASNet)model is applied for feature extraction,and a modified grey wolf optimization(MGWO)algorithm is employed for the hyperparameter tuning process,showing the novelty of the *** last,the extreme gradient boosting(XGBoost)model is utilized to carry out the insect classification *** simulation analysis stated the enhanced performance of the MMTL-IPCAC technique in the insect classification process with maximum accuracy of 98.73%.

关键词： Sustainable agriculture crop monitoring pest management insect classification computer vision

来源：评论

学校读者我要写书评

暂无评论

Sequential strategy for software process measurement that uses Statistical Process Control 8

Sequential strategy for software process measurement that us...

引用

8th Malaysian software engineering Conference, MySEC 2014

作者： Alhassan, Muhammad Abubakar Jawawi, Dayang N. A. Department of Computer Science Faculty of Science Federal University Dutse P.M.B 7156 Jigawa Nigeria Department of Software Engineering Faculty of Computing Universiti Teknologi Malaysia Skudai Johor81310 Malaysia

ISBN: (纸本)9781479954391

Effective measurement for successful Statistical Process Control (SPC) implementations across any level of Capability Maturity Model (CMM) is not a very straightforward activity. Based on CMM standard, SPC is only applicable to its higher maturity levels so as to tackle quantitative process management issues like out-of-control process and to point out further areas of process improvements. This study reveals that;SPC can be used at CMM level 2 to repeatedly control process but with some difficulties. The difficulty of accurate process measurement for successful SPC implementation is addressed by proposing a Sequential Strategy for Process Measurement (SSPM). This strategy can support software organization's process measurement activities for process control and management. © 2014 IEEE.

关键词： Statistical process control

来源：评论

学校读者我要写书评

暂无评论

Significance of State-of-Art Search Engine in Game Development 10

Significance of State-of-Art Search Engine in Game Developme...

引用

17th INDIACom;2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023

作者： Dewan, Ritu Polishetty, Rohith Jagadam, Naveen Goyal, Mayank Kumar Ravulakollu, Kiran Kumar Sharan, Bhagwati Galgotias College of Engineering and Technology Department of Computer Science and Engineering Greater Noida India Sr. Software Engineer Migo India Limited Hyderabad India Ceo N2force Technologies Inc. NapervilleIL60563 United States School of Engineering and Technology Sharda University Department of Computer Science and Engineering Greater Noida India School of Technology Woxsen University Hyderabad India School of Engineering and Sciences Srm University Department of Computer Science and Engineering AP Amaravati India

ISBN: (纸本)9789380544472

Video game development process is different from other software projects while yet being related to them in software engineering. It is distinctive in that it incorporates the work of teams from several fields (art, music, acting, programming, etc.), and that it seeks to create a compelling gaming experience by using prototypes and iterations. This research study focuses on game development and how it is accomplished utilizing a game engine. The process of creating/developing games from a concept is known as game development. Game engines are software programs that help game developers create games. The literature study discusses about the various game engine. The utility of the 'Unity' gaming engine is investigated in this paper. Unity may be utilized in different fields as study subjects, but there can be certain frequent benefits & obstacles of utilizing it in different case studies. Students learn which game engine to use based on their specific requirements. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Search engines

来源：评论

学校读者我要写书评

暂无评论

Automated Irrigation System based on irrigation gates using fuzzy logic

Automated Irrigation System based on irrigation gates using ...

引用

2020 International Conference on Internet of Things and Intelligent Applications, ITIA 2020

作者： Farooq, Muhammad Hussain, Aamir Hashim, Sarfraz Yang, Lin Ali, Mubashir Muhammad Nawaz Sharif University of Agriculture Department of Computer Science Multan Pakistan Agricultural University Cia Lab at School of Engineering Huazhong Wuhan China Lahore Garrison University Department of Software Engineering Lahore Pakistan

ISBN: (纸本)9781728193014

Water resources in the world are running down rapidly. In Pakistan, 93 % of water is used to irrigate agricultural land, and more than 60% wasted during irrigation. The main causes of this wastage are lack of irrigation knowledge and improper scheduling. which causes the wastage of water, loss in soil fertility, loss in production, and wastage of electric power. This wastage can be controlled by adopting modern technologies in the agriculture sector. IoT based automated solutions can facilitate to accomplish the optimized distribution of water in the context of irrigation. In this study, a smart gate equipped with water level and flow measuring sensors has been developed for open channel precision irrigation. Multiple sensing nodes were deployed to collect soil moisture, temperature, and humidity from the field by applying WSN techniques and forwarded collected data to Firebase Realtime Database. Fuzzy logic techniques have been used for decision making by evaluating collected data according to fuzzy rule-base. Smart gate delivers water content as per the crop's needs by calculating water quantity based on fuzzy decisions. The mobile dashboard provides Realtime information and control to the farmer. The system has been tested on a pilot scale and MATLAB simulation. Moisture decrease rate at different temperatures has been tested to predict irrigation days. © 2020 IEEE.

关键词： Irrigation

来源：评论

学校读者我要写书评

暂无评论

Product instantiation in software product lines: A case study 2nd

引用

2nd International Symposium on Generative and Component-Based software engineering, GCSE 2000

作者： Bosch, Jan Högström, Mattias University of Groningen Department of Computing Science P.O. Box 800 Groningen9700 AV Netherlands Blekinge Institute of Technology Department of Software Engineering and Computer Science RonnebyS-372 25 Sweden

ISBN: (纸本)3540425780

Product instantiation is one of the less frequently studied activities in the domain of software product lines. In this paper, we present the results of a case study at Axis Communication AB on product instantiation in an industrial product line, i.e. five problems and three issues. The problems are concerned the insufficiency of functional commonality, features spanning multiple components, the exclusion of unwanted features, the evolution of product line components and the handling of initialization code. The issues discuss architectural compliance versus product instantiation effort, quick-fixes versus properly engineered extensions and component instantiation support versus product instantiation effort. The identified problems and issues are based on the case study, but have been generalized to apply to a wider context. © Springer-Verlag Berlin Heidelberg 2001.

关键词： computer software

来源：评论

学校读者我要写书评

暂无评论

Theoretical Aspects of Computing - ICTAC 2004 1

引用

丛书名： Lecture Notes in computer science

1000年

作者： Zhiming Liu Keijiro Araki

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：