检索结果-内蒙古大学图书馆

Decision Aid Sciences and Application (DASA), International Conference on

作者： Aghiad Khedr Suleiman Darin Shafek Mahmoud Mahfuri Mohammad Khishe Ali Saeed Sameh Ghwanmeh Cybersecurity and Cloud Computing Technologies Engineering Dept. Alma'moon University College Baghdad iraq Computer Engineering Techniques Dept. Alma'moon University College Baghdad iraq Computer and information Technology Department International University for Science and Technology Innovation Center for Artificial Intelligence Applications Yuan Ze University Taiwan Jadara research center Jadara University Jordan Computer Center Northern Technical University Ninevah Iraq Computer Science Dept College of Computer Information Technology American University in the Emirates

ISBN: (数字)9798350369106

ISBN: (纸本)9798350369113

This paper presents an analytical study and a technique for extracting the features of a common case of images of the iris called off-angle iris which was taken for persons identification systems. The main problem when using biological iris measurements to identify the persons is the difficulty of identifying and extracting features of the iris. This problem is increasing when dealing with off-angle iris and it leads to decreased system accuracy and increased system rate error. In return, all the transfer learning techniques face difficulties in the case of heavily degraded data and partially occluded, and off-angle. A new method has a whole new methodology to deal with the image as it is without transformation processes. A new algorithm has been included for extracting features of the iris through the pupil switching points. The most discriminating points of the iris depend on the biological human eye statistics and analytical study. It has been trained and tested on the common images of the off-angle iris database so-called: “CASIA Iris 1.0”. It has been implemented in the MATLAB environment. The results showed the efficiency of this technique, high precision and more importantly low failed acceptance rate. It emphasized that it is adaptive as well as efficiency improvement of the system.

关键词： Deep learning Analytical models Adaptation models Accuracy Transfer learning Feature extraction Cameras Mathematical models Pupils Iris recognition

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Machine Learning Methods for Intrusion Detection

A Comparative Study of Machine Learning Methods for Intrusio...

引用

International Conf on Electrical and Electronic Engineering (ICEEE)

作者： Fadi N. Sibai Abu Asaduzzaman Ahmad Sibai Electrical & Computer Engineering Dept. Gulf University for Science and Technology Mishref Kuwait Electrical & Computer Engineering Dept. Wichita State University Wichita Kansas U.S.A. Computer Science Dept. University of South Florida Tampa FL U.S.A.

In this work, we applied 8 machine learning (ML) techniques to detect intrusions, namely, neural networks, kNN, SVM, random forest, trees, AdaBoost, naive Bayes, and stochastic gradient descent SGD. Using the NSL-KDD data set, these ML techniques were trained and tested to correctly classify the network and operating system records of this dataset into one of 24 possible attacks. The performances of these ML methods were analyzed and compared, with the random forest method performing at the top. To the best of our knowledge, this is the first work on investigating more than 4 ML classifiers on this data set in one single work and using the same set of tools.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Satisfibility based Watermarking Approach for Hardware Security in High Level Synthesis

A Satisfibility based Watermarking Approach for Hardware Sec...

引用

IEEE India Conference (INDICON)

作者： Ashwin Cs Vipul Poddar Suchismita Roy Dept. of Computer Science & Engineering National Institute of Technology Durgapur India Dept. of Electrical Engineering National Institute of Technology Durgapur India

In today’s world Time-To-Market (TTM) plays a very important role in the success of any given chip. To reduce the TTM, many manufacturers rely on reusable IP cores. These reusable Intellectual Property(IP) cores may come with a lot of unforeseen security issues related to reliability and verifiable point of origin. This paper presents a way of watermarking to reduce these security threats by embedding the designer’s watermark into an IP design at High Level Synthesis (HLS) stage. A boolean Satisfibility (SAT) based approach is proposed which has no additional area and performance overhead.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Scope of IoT in Emerging Engineering technology during Online Education 14

Scope of IoT in Emerging Engineering Technology during Onlin...

引用

14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Veeraiah, Vivek Kotti, Jayasri Jain, Vipin Sharma, Tripti Saini, Sumit Gupta, Ankur Adichunchanagiri University Dept. of R & D Computer Science Karnataka Mandya India Gmr Institute of Technology Dept. of Cse AP Vizianagaram India Teerthanker Mahaveer University Dept. of Management Uttar Pradesh Moradabad India Rungta College of Engineering & Technology Department of Cse Chhattisgarh Bhilai India Central University of Haryana School of Engineering & Technology Haryana Mahendergarh India Vaish College of Engineering Department of Cse Haryana Rohtak India

ISBN: (纸本)9798350335095

Physical objects with built-in sensors, processors, software, and other technologies that can communicate with one another and share data via the web are what the IoT refers to. Diverse devices that may cause security risks to your business, a new Engineering method based on IoT safeguards Internet devices & networks they connect to against assaults and breaches. The Internet of Things (IoT) can be protected against intrusion, its vulnerabilities can be monitored, and any existing holes may be patched with the help of cutting-edge engineering practises. IoT security guarantees the solution's availability, integrity, and privacy. With the help of mobile devices and the IoT, schools can better protect their campuses, keep an eye on vital resources, and improve students' access to information. In addition, teachers may use this technology to create 'smart lesson plans,' which are more engaging for students than the traditional lesson plans of the past. One of the strategies advocated in this study is the use of IoT to protect the educational sector against cyber threats. Existing research is being compared to proposed research in terms of safety, reliability, and effectiveness. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Extractive Summarization Using NLP

Comparative Analysis of Extractive Summarization Using NLP

引用

Intelligent Computing and Emerging Communication Technologies (ICEC), International Conference on

作者： Ashutosh Ray Anjana Mishra Bisal Sahoo Hrudaya Kumar Tripathy Dept. Of Computer Science and Engineering C.V. Raman Global University Bhubaneswar Odisha India School of Computer Engineering Kalinga Institute of Industrial Technology Bhubaneswar India

ISBN: (数字)9798331508432

ISBN: (纸本)9798331508449

The step-by-step method of constructing a short, easy-to-read, understandable, and contextual summary of an extensive text document is called text summarization. The principal role is to acquire the correct amount of information within a period. Text reports are finished by humans, which requires experience in space and is also terribly tedious and time-consuming. Along with the advancement of technology, the amount of text data is difficult to understand and is not available in a structured manner due to the larger number of characters. Hence, this is a necessary tool for today. It has been divided into two subparts: text summarization with an abstractive approach, otherwise known as Abstractive Text Summarization (ATS), and the second, text summarization with an extractive approach, otherwise known as Extractive Text Summarization (ETS). In comparison to ATS, the second technique is significantly more manageable and efficient. ETS primarily operates by extracting essential tokens, and in some cases, entire sentences, from the input text document. Consequently, this approach autonomously generates a summary. This work has not only identified novel findings but also suggested cutting-edge techniques and approaches for future researchers in the field, offering valuable insights and practical support.

关键词： Text summarization Communications technology Data mining

来源：评论

学校读者我要写书评

暂无评论

Sustainable Cultural Tourism Strategy and Promotion: An ICT Management Platform

Sustainable Cultural Tourism Strategy and Promotion: An ICT ...

引用

International Conference on Application of Information and Communication Technologies (AICT)

作者： Kashyap Raiyani Shabnam Pasandideh Sajib Ahmed Pedro Pereira João Martins Dept. Electrical and Computer Engineering Center of Technology and Systems-UNINOVA NOVA School of Science and Technology NOVA University Lisbon Caparica Portugal

ISBN: (数字)9798350387537

ISBN: (纸本)9798350387544

Cultural Tourism (CT) is a significant element of today’s economy, accounting for around 37% of the total tourist industry and expanding at a pace of over 15% each year. This function and economic impact can benefit some EU and non-EU locations and areas with high cultural, social, and environmental potential. Other synergistic variables such as know-how, Information Communication Technologies (ICTs), gastronomy, identity, local culture, values, intangible legacy, or other characteristics also contribute to this influence. The work presented in this paper is part of the Social Innovation and TEchnologies for Sustainable Growth through Participative Cultural TOURism (TExTOUR) project, which brings together partners from the quintuple social innovation helix (knowledge, business, society, government, and entrepreneurs) to co-design, validate, and scale up policies and strategies that have a positive impact on socioeconomic territorial development based on cultural tourism. TExTOUR collaborates with eight CT Pilots in lesser-known destinations to develop collaborative work methodologies for developing CT strategies for local sites, utilizing ICTs and social innovation tools. The CT-Labs assist stakeholders in putting CT ad hoc strategies and action plans into action, monitoring them, and validating them. As a result, a technological platform (ICT tool) is presented in this paper, with its components outlined.

关键词： Industries Technological innovation Federated learning Government Information and communication technology Cultural differences Global communication Stakeholders Socioeconomics Monitoring

来源：评论

学校读者我要写书评

暂无评论

Traffic Volume Prediction Based on Weather Parameters

Traffic Volume Prediction Based on Weather Parameters

引用

Women in Innovation, technology & Entrepreneurship (ICWITE), IEEE International Conference for

作者： Harshvardhan Kendre Mandar Karmarkar Harsh Karadbhajne Neha Kamtalwar Abha Marathe Computer Engineering Department Vishwakarma Institute of Technology Pune India Dept. of E & TC Engineering Vishwakarma Institute of Technology Pune India

With increase in number of vehicles, traffic congestion is on rise. It leads to a multitude of problems in urban areas. Commuters experience unpredictable travel times, resulting in delays, stress, and inefficiency. Inadequate planning and resource allocation hinder traffic management efforts, leading to congestion, increased accident risks, and reduced overall transportation system performance. A way to deal with these problems is predicting the flow of traffic and understanding patterns according to different urban areas. Existing research on traffic volume prediction has predominantly overlooked the influence of weather parameters, despite their potential impact. This paper fills this research gap by focusing on the integration of weather parameters into traffic volume prediction models and shedding light on the relationship among weather and traffic dynamics. The prediction algorithms employed in our study include Decision Trees, XGboost, Support Vector Machine and Random Forest are compared using prediction parameters including Mean Squared Error, Mean Absolute Error, Root Mean Squared Error, and R-square. After analyzing each Algorithm, the SVM algorithm arrives to be the best fit for predicting traffic volume on weather conditions.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Term Deposit Customer Prediction: A Blending Approach Using Bank Marketing Data

Term Deposit Customer Prediction: A Blending Approach Using ...

引用

IEEE Students' Conference on Electrical, Electronics and computer Science (SCEECS)

作者： Rahul Prasad Mohit Choubey R. K. Baghel Aaditya Naruka Cluster of Computer Science UPES Dehradun India Dept. of ECE Maulana Azad National Institute of Technology Bhopal India Dept. of SE Poornima University Jaipur India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

The global COVID-19 pandemic led to a significant economic downturn, severely impacting financial systems and economies around the world. Widespread lockdowns and travel restrictions disrupted supply chains, forced business closures, and triggered job losses, highlighting the importance of sound financial planning. Term deposits have emerged as a preferred strategy for risk mitigation. In marketing, direct customer outreach has increasingly replaced traditional intermediary-based approaches. Using data from a Portuguese bank, this study explores the predictive accuracy of various machine learning models in identifying customers most likely to invest in term deposits. Machine learning techniques applied include Support Vector Machine (SVM), Gaussian Naïve Bayes, bagging, blending, Light Gradient Boosting Machine (GBM), bagging, and Extreme Gradient Boosting (XGBoost). Results demonstrate that bagging algorithms provide superior accuracy in predicting customer behavior, offering insights to enhance targeted marketing efforts."

关键词： Support vector machines Accuracy Computational modeling Biological system modeling Predictive models Boosting Prediction algorithms Bayes methods Bagging Business

来源：评论

学校读者我要写书评

暂无评论

Multimodal Data-Driven Classification of Mental Disorders: A Comprehensive Approach to Diagnosing Depression, Anxiety, and Schizophrenia

arXiv

引用

arXiv 2025年

作者： Singh, Himanshi Tiwari, Sadhana Agarwal, Sonali Chandra, Ritesh Sonbhadra, Sanjay Kumar Singh, Vrijendra Dept. of Information Technology IIIT Allahabad Uttar Pradesh Prayagraj India Dept. of Computer Science and Engg. Siksha’O’ Anusandhan University Odisha Bhubaneswar India

This study investigates the potential of multimodal data integration, which combines electroencephalogram (EEG) data with sociodemographic characteristics like age, sex, education, and intelligence quotient (IQ), to diagnose mental diseases like schizophrenia, depression, and anxiety. Using Apache Spark and convolutional neural networks (CNNs), a data-driven classification pipeline has been developed for big data environment to effectively analyze massive datasets. In order to evaluate brain activity and connection patterns associated with mental disorders, EEG parameters such as power spectral density (PSD) and coherence are examined. The importance of coherence features is highlighted by comparative analysis, which shows significant improvement in classification accuracy and robustness. This study emphasizes the significance of holistic approaches for efficient diagnostic tools by integrating a variety of data sources. The findings open the door for creative, data-driven approaches to treating psychiatric diseases by demonstrating the potential of utilizing big data, sophisticated deep learning methods, and multimodal datasets to enhance the precision, usability, and comprehension of mental health diagnostics. © 2025, CC BY.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

RAMBO — Robotic Anthropomorphic Manipulator for Bimanual Operations

RAMBO — Robotic Anthropomorphic Manipulator for Bimanual Op...

引用

IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

作者： Nuno Ribeiro Luís Louro Paulo Vicente Pedro Ribeiro Daniel Rodrigues Pedro Dias Emanuel Sousa Sérgio Monteiro Estela Bicho Industrial Electronics Dept ALGORITMI Center University of Minho Guimarães Portugal Center for Computer Graphics Human-Technology Interaction and Robotics Dept University of Minho Guimarães Portugal

ISBN: (数字)9798350352344

ISBN: (纸本)9798350352351

This paper presents the development of an anthropomorphic robot designed for collaborative research alongside the Kuka LBR iiwa R820 robotic arm for the research project I-CATER. The primary objectives were designing a robust and stable robot's structure, integrating hardware using the Robot Operating System (ROS), and developing a user- friendly Human-Machine Interface. Priority was set on ensuring the structure could support two robotic arms without compromising stability or functionality. Key components include 7 Degrees of Freedom (DoF) robotic arms, Rg2 grippers, a display and a 2 DoF neck for the vision system support, resembling the human head configuration. Considerations such as size, cost, fabrication techniques, and material availability were taken into account in the structure's design. Integration into a simplified interface allows for easy manipulation without advanced programming knowledge, facilitated by the middleware ROS for modularity and future upgrades. The outcome is RAMBO - a Robotic Anthropomorphic Manipulator for Bimanual Operations - which is a valuable research platform for natural human-robot collaboration.

关键词： Torso Operating systems Machine vision Collaboration Manipulators Solids Stability analysis

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：