检索结果-内蒙古大学图书馆

Artificial Intelligence and Emerging Technology (Global AI Summit), International Conference on

作者： Ravikumar R N Sanjay Jain Manash Sarkar Dept. of Computer Science and Engineering Amity University Rajasthan Jaipur India Dept. of Computer Science and Engineering Atria Institute of Technology Banglore India

ISBN: (数字)9798350379716

ISBN: (纸本)9798350379723

This study explores the application of a Transformer based model to the “MovieLens 1M” and “MovieLens 10M” datasets provided by GroupLens, which includes one million and ten movie ratings. The Transformer model, known for its proficiency in handling sequence-to-sequence tasks, employs multi-head self-attention mechanisms and position-wise feed-forward networks. Our implementation, developed in PyTorch, benefits from its capacity for automatic differentiation and GPU acceleration, which significantly enhances the training efficiency. The model underwent rigorous hyperparameter tuning and optimization to adapt optimally to the characteristics of the dataset. Performance evaluation using the Normalized Discounted Cumulative Gain (NDCG) metric demonstrates that the Transformer model substantially outperforms a conventional popular recommendation system across various top-K rankings. Specifically, for the MovieLens 1M dataset, the Transformer model achieved NDCG scores of 0.0455, 0.0805, 0.0995, and 0.1273 at top 1, 3, 5, and 10, respectively. Comparatively, the popular recommendation system scored 0.0023, 0.0044, 0.0061, and 0.0091 at these same rankings. This trend of superior performance by the Transformer model is also consistent across the MovieLens 10M dataset, further confirming its effectiveness in ranking highly relevant items at the top of the list. Also, to address quality and utility of recommendations, MAP, Precision, Recall, F1 Score, Coverage and Serendipity metrics evaluated. These results underscore the effectiveness of Transformer models in extracting and leveraging complex patterns in sequence data, demonstrating a clear superiority over traditional methods in recommendation systems. This study highlights the potential of deep learning architectures to revolutionize fields reliant on understanding user preferences and sequential data interactions.

关键词： Training Performance evaluation Adaptation models Accuracy Transformers Motion pictures Artificial intelligence Recommender systems Tuning Optimization

来源：评论

学校读者我要写书评

暂无评论

A catalogue of game-specific anti-patterns 2022

A catalogue of game-specific anti-patterns

引用

15th Innovations in Software Engineering Conference, ISEC 2022

作者： Agrahari, Vartika Chimalakonda, Sridhar Lab Dept. of Computer Science and Engineering Indian Institute of Technology Tirupati India

ISBN: (纸本)9781450396189

With the ever-increasing use of games, game developers are expected to write efficient code and support several aspects such as security, maintainability, and performance. However, the continuous need to update the features of games in shorter duration might compel the developers to use anti-patterns, code smells and quick-fix solutions that may affect the functional and non-functional requirements of the game. These bad practices may lead to technical debt, poor program comprehension, and can cause several issues during software maintenance. While there exists empirical research on games, we are not aware of any work on understanding and cataloguing these anti-patterns in the domain of games. Thus, in this paper, we propose a catalogue of game-specific anti-patterns by mining and analyzing 892 commits, 189 issues, and 104 pull requests from 100 open-source GitHub game repositories. We use regular expressions and thematic analysis on this dataset and present a catalogue of ten game-specific anti-patterns along with examples. We see this catalogue as a first step for further empirical research in the domain of games and can help game developers to improve quality of games. © 2022 ACM.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Comparative Evaluation of Machine Learning Development Lifecycle Tools 1

Comparative Evaluation of Machine Learning Development Lifec...

引用

1st International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems, ICMACC 2022

作者： Prasad, Janvi Jain, Arushi Zachariah, Ushus Elizabeth Vellore Institute of Technology Dept. of Computer Science and Engg. Vellore India

ISBN: (纸本)9781665496049

The ML development lifecycle is the SDLC equivalent of Machine Learning. While the ML code is at the core of a real-world ML production system, it frequently represents only 5% or less of the system's entire code. This study examines and contrasts the technologies utilised in the machine learning development lifecycle and focuses largely on the distinction between ML programming and ML development. According to Forrester Research, AI adoption is ramping up. 63% of business technology decision makers are implementing, have implemented, or are expanding use of AI. The main motivation behind this research is that the majority of the organizations do not have ML/AI solutions that have gone beyond the PoC / PoV stage, ML code in Jupyter notebooks cannot be distributed, and AI/ML solution deployment at scale is a challenge. Machine learning services are evolving at a dizzying rate, opening up a variety of opportunities for on-field applications, especially for brands and businesses with the infrastructure and resources required to integrate ML into their operational structures as a decision-making fulcrum. Nearly 65% of stock market swings may be predicted by Azure Machine Learning. By incorporating ML into its operational framework, Amazon has successfully decreased the 'click-to-ship' time by 225%. Breast cancer can be identified with 89% accuracy using Google's Deep Learning. Thus, these commercial tools for ML life cycle support have been compared and a conclusion about which tool is most suitable is drawn. © 2022 IEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

A Simple Approach to Analyze and Evaluate Image Segmentation Methods Based on Image Quality Metrics 3

A Simple Approach to Analyze and Evaluate Image Segmentation...

引用

3rd IEEE International Conference on Applied Electromagnetics, Signal Processing, and Communication, AESPC 2023

作者： Ganesan, P. Ravichandran, M. Joseph, L.M.I. Leo Sathish, B.S. Prasad, M. Raiendra Sajiv, G. Vidya Jyothi Institute of Technology Dept. of Electronics and Communication Engineering Hyderabad India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Dept. of Computer Science Engineering Chennai India Sr University Dept. of Electronics and Communication Engineering Telangana Warangal India Sri Venkateshwara College of Engineering Dept. of Computer Science Engineering Ai Bengaluru India Saveetha School of Engineering Simats Chennai India

ISBN: (纸本)9798350358742

The role of image segmentation is inevitable in image analysis. There are many algorithms and methods for image segmentation. However it is tricky to choose best possible clustering procedure. The proper selection of clustering method leads to the successful outcome in image analysis. In segmentation process, data is fragmented into some reasonable regions (clusters). Elements (image pixels) in a particular cluster should be very analogous w.r.t some attributes like lightness, texture or color. In the proposed method, test image is clustered based on chrominance (color) using four segmentation methods, viz., FCM, PCM, PFCM and MFCM. The outcome of segmentation methods are transformed into binary image using otsu threshold method. The binary image of FCM is taken as a reference image because it is standard and fundamental one. The binary images of other methods are compared with reference image. The comparison is done using some image quality metrics such as dice, jaccard. The optimal segmentation method is decided based on the analysis of these image quality metrics. © 2023 IEEE.

关键词： Binary images

来源：评论

学校读者我要写书评

暂无评论

The Impact of Compiler Warnings on Code Quality in C++ Projects

The Impact of Compiler Warnings on Code Quality in C++ Proje...

引用

IEEE/ACM International Conference on Program Comprehension (ICPC)

作者： Albin Johansson Carl Holmberg Francisco G. de Oliveira Neto Philipp Leitner Dept. of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden Dept. of Computer Science and Engineering Chalmers | University of Gothenburg Gothenburg Sweden

ISBN: (数字)9798400705861

ISBN: (纸本)9798350352276

Modern compilers often offer a variety of warning flags, which developers can enable to get feedback on code that, while syntactically correct, may be problematic. In the case of C++, one example of such “correct but problematic” code is code that leads to undefined behavior (UB). The usage of compiler warnings has long been suspected as a way to decrease bugs and increase code quality. However, empirical evidence that supports this hypothesis is rare. In this study, we present evidence from a study of 127 open source C++ projects. We categorize their usage of compiler warnings into five groups based on which warning flags are being used, and analyse the relationship between compiler warnings and five quality metrics (bugs, critical issues, vulnerabilities, code smells, and technical debt) using Bayesian analysis. We conclude that, in general, compiler warnings indeed correlate with, and potentially cause, higher code quality, with the clearest impact being on the number of critical issues in a project. Using stricter warning flags expectantly correlates with higher code quality in our study objects. However, there are substantial differences between projects, which we attribute to the project’s individual development culture. That is, while warnings matter, other factors such as quality culture, are likely to be even more important to source code *** CONCEPTS • Software and its engineering $\rightarrow$ Maintaining software; Compilers; Software maintenance tools.

关键词： Measurement Software maintenance Codes Correlation Program processors Data analysis Source coding

来源：评论

学校读者我要写书评

暂无评论

IoT in Action: Design and Implementation of a Tank Water Monitoring System

IoT in Action: Design and Implementation of a Tank Water Mon...

引用

International Conference on Inventive Computing and Informatics (ICICI)

作者： Tahmina Akter Tanjim Mahmud Rishita Chakma Nippon Datta Mohammad Shahadat Hossain Karl Andersson Dept. of Computer Science and Engineering Port City International University Chittagong Bangladesh Dept. of Computer Science and Engineering Rangamati Science and Technology University Rangamati Bangladesh Dept. of Computer Science and Engineering Chittagong University of Engineering & Technology Chittagong Bangladesh Dept. of Computer Science and Engineering University of Chittagong Chittagong Bangladesh Cybersecurity Laboratory Luleå University of Technology Luleå Sweden

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

Water management in residential areas often faces challenges such as unpredictable shortages and damaging overflows due to inadequate monitoring of tank water levels. This study presents the design and implementation of an Internet of Things (IoT)-based tank water monitoring system aimed at providing a reliable and efficient solution to these issues. Utilizing advanced sensor technology, the system accurately monitors water levels, volume, and quality within storage tanks. It incorporates dual sensors that enhance reliability: one sensor manages the water level, initiating pump activation when levels fall below a critical threshold, while the second sensor prevents overflows by deactivating the pump once the water level reaches a pre-set maximum. The system is designed to be user-friendly, offering real-time water level data and control via an Android application or web dashboard. This allows for remote operation of the motor pump, ensuring that water availability is consistent and secure, while also safeguarding against overflows and subsequent water wastage. The implementation of this IoT system demonstrates significant potential for enhancing water resource management in residential settings, promoting both sustainability and ease of use.

关键词： Reliability engineering Motors Real-time systems Water monitoring Internet of Things Sustainable development Informatics

来源：评论

学校读者我要写书评

暂无评论

Energy aware firefly based sink mobility data routing in wireless sensor networks 2

Energy aware firefly based sink mobility data routing in wir...

引用

2nd International Conference on Next Generation Intelligent Systems, ICNGIS 2022

作者： Jaiswal, Kavita Anand, Veena National Institute of Technology Raipur Dept. of Computer Science and Engineering Chhattisgarh India

ISBN: (纸本)9781665467926

In a sink mobility-based Wireless Sensor Network, the sink node follows a path through the network region, gathering data from neighbouring sensor nodes. Sink mobility reduces the distance between the average source node and the sink, hence conserving energy during network transmission. The Firefly Algorithm (FA) is used to offer a WSN sink mobility technique in this paper. An appropriate sink position saves the most node energy in data transmission. To select the ideal sink site for a cluster, the FA generates a chromosomal population. A network energy consumption model that implements the FA process's fitness evaluation operator is also proposed. The FA model creates a set of suitable sink sites on the trajectory for each cluster. FA-based sink mobility extends network lifetime more than other protocols, according to the research. © 2022 IEEE.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Poly2Vec: Polymorphic Encoding of Geospatial Objects for Spatial Reasoning with Deep Neural Networks

arXiv

引用

arXiv 2024年

作者： Siampou, Maria Despoina Li, Jialiang Krumm, John Shahabi, Cyrus Lu, Hua University of Southern California Dept. of Computer Science Los AngelesCA United States Roskilde University Dept. of Computer Science Roskilde Denmark

Encoding geospatial data is crucial for enabling machine learning (ML) models to perform tasks that require spatial reasoning, such as identifying the topological relationships between two different geospatial objects. However, existing encoding methods are limited as they are typically customized to handle only specific types of spatial data, which impedes their applicability across different downstream tasks where multiple data types coexist. To address this, we introduce Poly2Vec, an encoding framework that unifies the modeling of different geospatial objects, including 2D points, polylines, and polygons, irrespective of the downstream task. We leverage the power of the 2D Fourier transform to encode useful spatial properties, such as shape and location, from geospatial objects into fixed-length vectors. These vectors are then inputted into neural network models for spatial reasoning tasks. This unified approach eliminates the need to develop and train separate models for each distinct spatial type. We evaluate Poly2Vec on both synthetic and real datasets of mixed geometry types and verify its consistent performance across several downstream spatial reasoning tasks. © 2024, CC BY.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Opinion Mining using Sentiment Analysis and Topic Modelling for an Entertainment Event 5

Opinion Mining using Sentiment Analysis and Topic Modelling ...

引用

5th National Conference of Saudi computers Colleges, NCCC 2022

作者： Samkari, Esraa Alsini, Areej Umm Al-Qura University Dept. Computer Science Makkah Saudi Arabia

ISBN: (纸本)9798350333688

The entertainment sector is one of the critical sectors fostering a vibrant creative economy. Saudi Arabia has recently constructed several entertainment venues in Riyadh to attract visitors and tourists. One such place is Winter Wonderland. Although this event is held yearly, there is not enough information about visitor opinions and satisfaction. Therefore, this paper aims to collect a dataset and analyze the visitors' sentiments and their discussed topics on Twitter. We employ two methods. The first is classification using three variations of Support Vector Machine for sentiment analysis, and the second is topic modelling using BERTopic. We further examine the discussed topics in light of time and place. The outcome demonstrates that both Linear SVM and RBF outperform Poly SVM. In addition, most of the tweets discuss topics related to tickets, with Saudi cities being the largest source of tweets selling tickets. © 2022 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

FedPruNet: Federated Learning Using Pruning Neural Network

FedPruNet: Federated Learning Using Pruning Neural Network

引用

2022 IEEE Region 10 Symposium, TENSYMP 2022

作者： Gowtham, L Annappa, B Sachin, D N National Institute of Technology Karnataka Dept. of Computer Science and Engineering Mangaluru India

ISBN: (数字)9781665466585

ISBN: (纸本)9781665466585

Federated Learning (FL) is a distributed form of training the machine learning and deep learning models on the data spread over heterogeneous edge devices. The global model at the server learns by aggregating local models sent by the edge devices, maintaining data privacy, and lowering communication costs by just communicating model updates. The edge devices on which the model gets trained usually will have limitations towards power resource, storage, computations to train the model. This paper address the computation overhead issue on the edge devices by presenting a new method named FedPruNet, which trains the model in edge devices using the neural network model pruning method. The proposed method successfully reduced the computation overhead on edge devices by pruning the model. Experimental results show that for the fixed number of communication rounds, the model parameters are pruned up to 41.35% and 65% on MNIST and CIFAR-10 datasets, respectively, without compromising the accuracy compared to training FL edge devices without pruning. © 2022 IEEE.

关键词： Edge computing

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：