检索结果-内蒙古大学图书馆

3rd International Conference on Power, Control and Computing Technologies, ICPC2T 2024

作者： Rahman, Md. Shahriar Ahmed, Nowshad Paul, Tarpan Rahman, Md. Mahfizur Hajee Mohammad Danesh Science and Technology University Department of Electrical and Electronic Engineering Bangladesh Institute of Information and Communication Technology Dhaka University of Engineering and Technology Bangladesh Green University of Bangladesh Department of Electrical and Electronic Engineering Bangladesh

ISBN: (纸本)9798350349207

The toxicity issue is a major obstacle to the broad commercialization of Lead (Pd)-based Perovskite Solar Cells (PSCs). In such scenarios, Tin (Sn)-based PSC can be crucial to the widespread adoption of high-performance SC. In this study, a Sn-based structure of FTO/Ti02/CH3NH3SnI3/Spiro-OMeTADI Au has been proposed. A sequential strategy is adopted to evaluate the energy level, recombination rate, the bandgap of the absorber, work function, reflective coating, temperature, typical J - V and Q- E curve of the structure using SCAPS ID software. The optimized structure attained maximum power conversion efficiency (PCE) of 26.95 %, with open-circuit voltage (Voc) of 0.9622 V, short-circuit current density (Jsc) of 33.87 ma/cm2 and fill factor (FF) of 82.69% at 300k. The outcomes of this numerical simulation can offer an insightful approach for fabricating viable, economical and highly efficient Sn-based PSC. © 2024 IEEE.

关键词： Energy gap

来源：评论

学校读者我要写书评

暂无评论

A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第4期5卷 1429-1442页

作者： Bharati, Subrato Mondal, M. Rubaiyat Hossain Podder, Prajoy Bangladesh University of Engineering and Technology Institute of Information and Communication Technology Dhaka1205 Bangladesh Concordia University Department of Electrical and Computer Engineering MontrealQCH3G 1M8 Canada

Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability of the decisions that are made by these AI models. In this article, we give a systematic analysis of explainable artificial intelligence (XAI), with a primary focus on models that are currently being used in the field of healthcare. The literature search is conducted following the preferred reporting items for systematic reviews and meta-analyses standards for relevant work published from 1 January 2012 to 2 February 2022. The review analyzes the prevailing trends in XAI and lays out the major directions in which research is headed. We investigate the why, how, and when of the uses of these XAI models and their implications. We present a comprehensive examination of XAI methodologies as well as an explanation of how a trustworthy AI can be derived from describing AI models for healthcare fields. The discussion of this work will contribute to the formalization of the XAI field. © 2020 IEEE.

关键词： Medical imaging

来源：评论

学校读者我要写书评

暂无评论

An Improved Clear Channel Assessment Technique for Interference Mitigation in FMCW Radars 14

An Improved Clear Channel Assessment Technique for Interfere...

引用

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

作者： Daita, Laxmi Vatsalya Kumar Panda, Manoj Singh, Chandramani Amrita School of Engineering Department of Electronics and Communication Engineering Bangalore India Indian Institute of Science Department of Electronic Systems Engineering Bangalore India

ISBN: (纸本)9798350335095

This paper explores the differences between the real-only and complex baseband mixer architectures used in Frequency Modulated Continuous Wave (FMCW) radars. It proposes an improved Clear Channel Assessment (CCA) technique based on the complex baseband architecture for mitigating narrowband interference in a network of FMCW radars. The proposed technique employs the Carrier Sense Multiple Access (CSMA) protocol that performs the CCA at different reference frequencies to improve the throughput. The effectiveness of the proposed CCA improvement technique is shown by simulations. It is also shown that the use of complex architecture can increase the throughput up to 3.28 times. © 2023 IEEE.

关键词： Network architecture

来源：评论

学校读者我要写书评

暂无评论

Blockchain and Deep Learning-Based Models for Crypto Price Forecasting

Blockchain and Deep Learning-Based Models for Crypto Price F...

引用

2023 IEEE International Conference on Quantum Technologies, communications, Computing, Hardware and Embedded Systems Security, iQ-CCHESS 2023

作者： Sai Monika, S. Meena, P. Gnanasudharsan, A. Sreevarshan, S. Rithika, S.R. Kevin Timothy, J. Panimalar Engineering College Department of Computer and Communication Engineering Chennai India Sri Sairam Engineering College Department of Electronics and Communication Engineering Chennai India St. Joseph's Institute of Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350314946

Blockchain technology is becoming more and more popular because of its decentralized, unchangeable, safe, and anonymous characteristics. Cryptocurrencies, which have seen tremendous development and market capitalization in recent years, are where they are most widely used. Individuals, organizations, and businesses are all making significant investments in this area. In contrast to conventional commodities markets, the cryptocurrency market is more volatile, unstable, and unpredictable. It can be affected by a variety of technological, emotional, and legal variables. Although there has been a lot of research towards predicting cryptocurrency prices, many of the current methods are not appropriate for use in real time. To solve this, we suggest using the Python-based LGBM Neural network model to forecast market changes in real-time and reduce investor losses. The outcomes of our evaluation of this strategy using reference datasets show its dependability. Thus, over the past ten years, researchers from a variety of domains have used neural networks as an efficient data mining method. © 2023 IEEE.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Optimal social welfare:A many-to-many data transaction mechanism based on double auctions

引用

Digital communications and Networks 2023年第5期9卷 1230-1241页

作者： Jingyuan Duan Ling Tian Jianqiao Mao Jiaxin Li School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Shenzhen Institute of Information Technology China Department of Electronic and Electrical Engineering University College LondonGower StreetLondonUnited Kingdom Amazon(China)Investment Ltd China

With the development of Big Data and the Internet of Things(IoT),the data value is more significant in both academia and *** can achieve maximal data value and prepare data for smart city *** to data's unique characteristics,such as dispersion,heterogeneity and distributed storage,an unbiased platform is necessary for the data trading market with rational trading ***,there are multiple buyers and sellers in a practical data trading market,and this makes it challenging to maximize social *** solve these problems,this paper proposes a Social-Welfare-Oriented Many-to-Many Trading Mechanism(SOMTM),which integrates three entities,a trading process and an algorithm named Many-to-Many Trading Algorithm(MMTA).Based on the market scale,market dominated-side and market fixed-side,simulations verify the convergency,economic properties and efficiency of SOMTM.

关键词： Data trading Double auction Social welfare Game theory Smart city

来源：评论

学校读者我要写书评

暂无评论

Review Rating Prediction Using BiLSTM 14th

Review Rating Prediction Using BiLSTM

引用

14th International Conference on Frontier Computing, FC 2024

作者： Kim, Yongjun Lee, Sang-Joon Byun, Yung-Cheol Department of Computer Engineering Jeju National University Jeju63243 Korea Republic of Department of Computer Engineering Major of Electronic Engineering Institute of Information Science and Technology Jeju National University Jeju63243 Korea Republic of

ISBN: (纸本)9789819623945

User review ratings are crucial for assessing the quality of restaurants, movies, products, and services online. Traditionally, predicting these ratings involved analyzing the content of user reviews using natural language processing techniques. While this approach allows for the consideration of diverse data by aggregating reviews from all users, it's hindered by the fact that users have unique tendencies and expressions, resulting in varying ratings for the same review. To address this challenge, a novel method is proposed in this paper: a BiLSTM model that incorporates the user's average rating alongside their review content. By doing so, this method aims to enhance prediction accuracy by accounting for individual user characteristics. This approach considers the textual content of reviews and integrates the user's typical rating behavior, resulting in more personalized and precise rating predictions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Text-to-Sketch Synthesis via Adversarial Network

引用

computers, Materials & Continua 2023年第7期76卷 915-938页

作者： Jason Elroy Martis Sannidhan Manjaya Shetty Manas Ranjan Pradhan Usha Desai Biswaranjan Acharya Department of Information Science and Engineering NMAM Institute of Technology(Nitte Deemed to be University)NitteIndia Department of Computer Science and Engineering NMAM Institute of Technology(Nitte Deemed to be University)NitteIndia School of Computing Skyline University CollegeUniversity CitySharjahUAE Department of Electronics and Communication Engineering SR UniversityWarangalTelanganaIndia Department of Computer Engineering–AI&BDA Marwadi UniversityRajkotGujaratIndia

In the past,sketches were a standard technique used for recognizing offenders and have remained a valuable tool for law enforcement and social security ***,relying on eyewitness observations can lead to discrepancies in the depictions of the sketch,depending on the experience and skills of the sketch *** the emergence of modern technologies such as Generative Adversarial Networks(GANs),generating images using verbal and textual cues is now possible,resulting in more accurate sketch *** this study,we propose an adversarial network that generates human facial sketches using such cues provided by an ***,we have introduced an Inverse Gamma Correction Technique to improve the training and enhance the quality of the generated *** evaluate the effectiveness of our proposed method,we conducted experiments and analyzed the results using the inception score and Frechet Inception Distance *** proposed method achieved an overall inception score of 1.438±0.049 and a Frechet Inception Distance of 65.29,outperforming other state-of-the-art techniques.

关键词： Generative adversarial networks inverse gamma correction sketch attributes text-to-sketch synthesis deep learning techniques

来源：评论

学校读者我要写书评

暂无评论

Characteristic Mode Analysis of Closed Metal Geometric Ring Shapes 2

Characteristic Mode Analysis of Closed Metal Geometric Ring ...

引用

2nd IEEE International Conference on Contemporary Computing and communications, InC4 2024

作者： Kumar, Naveen Sharma, Nipun Sharma, Swati Khanna, Rajesh Koohestani, Mohsen CHRIST University ECED RF and Microwave Research Lab Bengaluru India Presidency University Electronics and Communication Engineering Department Bengaluru India Thapar Institute of Engineering and Technology Electronics and Communication Engineering Department Patiala India ESEO School of Engineering Department of Electrical and Electronic Engineering Angers France

ISBN: (纸本)9798350383652

In this study, the characteristic mode theory is used to better explain the physical behavior of a few simple closedshaped geometries. The bandwidth coverage, resonant behavior, and modal current distributions for several ringshaped geometries are shown and discussed. It has been demonstrated that the triangular, rectangular, and square ring geometries can result in multi-band performance, whereas the hexagonal, circular, square, and triangular rings are promising candidates for circularly polarized antenna designs. © 2024 IEEE.

关键词： Bandwidth

来源：评论

学校读者我要写书评

暂无评论

STARS Assisted Semi-Grant-Free NOMA communications

引用

IEEE Transactions on Wireless communications 2025年第6期24卷 4904-4919页

作者： Xie, Jin Yue, Xinwei Zhao, Jingjing Zou, Yixuan Liu, Yuanwei Liu, Rongke Ding, Zhiguo Key Laboratory of Information and Communication Systems China Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing100101 China Beihang University School of Electronic and Information Engineering Beijing100191 China Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Hong Kong Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of Khalifa University Department of Computer and Information Engineering Abu Dhabi United Arab Emirates

This paper investigates the performance of simultaneously transmitting and reflecting surface (STARS) assisted semi-grant-free non-orthogonal multiple access network with randomly distributed users. By deploying STARS, the transmit signals of grant-based user (GBU) and grant-free users (GFUs) can be exquisitely adjusted to reduce interference. We propose a maximum channel scheduling (MCS) protocol that allows a GFU to access GBU’s channel with the assistance of STARS. In particular, the impacts of perfect/imperfect successive interference cancellation (pSIC/ipSIC) on MCS protocol are taken into account. To characterize the performance of STARS aided MCS (STARS-MCS) network, we derive the expressions of outage probability for GBU and GFU with pSIC/ipSIC. By applying convolution theorem and Laplace transform, the asymptotic expressions of outage probability and diversity orders for GBU and GFU are attained. We further design a STARS-based power control (SPC) strategy to eliminate the outage probability error floor and improve the outage performance. Numerical results show that: 1) The performance of STARS-MCS outperforms the existing benchmarks in terms of outage probability and system throughput;2) The SPC strategy can effectively improve the performance of the STARS-MCS network and eliminate the outage probability error floor at high signal-to-noise ratios;and 3) By adjusting reflection and transmission coefficients of STARS, the outage performance of GBU and GFU can be greatly enhanced. © 2025 IEEE. All rights reserved.

关键词： Laplace transforms

来源：评论

学校读者我要写书评

暂无评论

Fine Tuned DBN Model for Food Ingredient Recognition: Introduction to Self-improved Tasmanian Devil Optimization Algorithm

Fine Tuned DBN Model for Food Ingredient Recognition: Introd...

引用

2023 IEEE International Conference on Integrated Circuits and communication Systems, ICICACS 2023

作者： Madival, Sharanabasappa A. Jawaligi, Shivkumar S. Sharnbasva University Faculty of Engineering & Technology Department of Computer Science and Engineering Kalburgi India Sharnbasva University Faculty of Engineering & Technology Department of Electronic and Communication Engineering Kalburgi India

ISBN: (纸本)9798350398465

Food recognition has captivated much significance for health-related appliances. The traditional schemes mainly concern on the classification of food depending on its names and disregards the basic ingredient compositions. However, owing to shortage of datasets with labels of ingredient, the issues on food ingredient recognition (FIR) is often unnoticed. This work develops a new FIR approach, where, textual features, SIFT and deep features are derived. Then, the DBN classifier is deployed for the recognition of food ingredients. To get a precise recognition, tuning the weights of DBN is done via Improved TDO (ITDO) model. © 2023 IEEE.

关键词： FIR filters

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：