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检索条件"任意字段=4th International Conference on Computing and Data Science, CONF-CDS 2022"

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Analysis on the Estimators to the OSELM Model 4

Analysis on the Estimators to the OSELM Model

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Rajendra, V. Motupalli, Ravi Kanth Vnr Vjiet Department of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9781665474368

the OSELM model is one of many classifiers for software defect prediction that can detect the specific oversampled input problems (pattern). OSELM was a more suitable model for defect prediction when used with the extremely unbalanced data and noisy like NDP repository datasets. Prior metrics were measured using balanced accuracy and recall. In this study, the estimator metrics for the OSELM model are G-Mean, F1-Score, and Matthews Co-Relation Coefficient © 2022 IEEE.

关键词： Life cycle

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Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods 4th

Diabetic Foot Ulcer Grand Challenge 2024: Overview and Base...

引用

4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in Conjunction 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024

作者： Brüngel, Raphael Kendrick, Connah Cassidy, Bill Bracke, Benjamin Friedrich, Christoph M. Reeves, Neil D. Pappachan, Joseph M. Yap, Moi Hoon Dortmund44227 Germany University Hospital Essen Essen45130 Germany University Hospital Essen Essen45131 Germany Department of Computing and Mathematics Manchester Metropolitan University ManchesterM1 5GD United Kingdom Lancaster University LancasterLA1 4YW United Kingdom Lancashire Teaching Hospitals NHS Foundation Trust PrestonPR2 9HT United Kingdom

ISBN: (纸本)9783031808708

In its 4th edition, the Diabetic Foot Ulcer Challenge (DFUC) 2024 focuses on the task of Diabetic Foot Ulcer (DFU) segmentation by involving aspects of self-supervised learning as contrast to the DFUC 2022. this paper provides information on the challenge background, outlines details on an synthetic extension of the DFU dataset, elaborates rules for participation, and reports performance of two vastly different baseline methods that highlight the potential diversity of welcome approaches. It further provides a condensed summary on final challenge results and methods employed by participating teams. A discussion puts the different approaches and outcomes into perspective, considering their creativity and applicability on a larger scale. Eventually, a retrospective on the DFUC 2024 finds the given task to be considerably challenging, inspiring diverse contributions. Even though accurate DFU segmentation currently seems out of reach when involving a higher level of self-supervision, respective contributions demonstrate promising kick-off strategies for scenarios in which unlabelled data needs to be harnessed. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Self-supervised learning

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POTDP: Research GPU Performance Optimization Method based on thread Dynamic Programming 4

POTDP: Research GPU Performance Optimization Method based on...

引用

4th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2022

作者： Wei, Xiong Hu, Qian Li, Li School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan China

ISBN: (数字)9781665467735

ISBN: (纸本)9781665467735

GPU is widely used in high-performance computing such as big data and artificial intelligence because of its high concurrency and high throughput. With the development of VLSI technology, more and more processing units are integrated on chip. High power consumption increases the operating cost of equipment, reduces the battery life and reliability of integrated circuit chip, which seriously restricts the improvement of integrated circuit chip performance and restricts the expansion and application field of parallel systems. In view of the above problem, this paper proposes a data dependent GPU power management method- DDPM to reduce the power con-sumption of GPU system. the experimental results of DDPM show that compared with the shared aware data management method, DDPM improves the L1 cache hit rate by 2.8%, reduces DRAM data transmission capacity by 5%, and improves the average energy efficiency by 4.67% compared with MC-aware-ORI, MC-aware-LoSe and MC-aware-SiOb. © 2022 IEEE.

关键词： Dynamic programming

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IPFS Enabled Robust Mechanism for File Storage and Retrieval Using Block Chain 4

IPFS Enabled Robust Mechanism for File Storage and Retrieval...

引用

4th international conference on Emerging Research in Electronics, Computer science and Technology, ICERECT 2022

作者： Sivasankari, K. Sathyamithran, V.S. SRM Institute of Science and Technology Department of Computer Science Chennai India

ISBN: (纸本)9781665456357

In the current technology development scenario numerous data are handled by users for various purposes. data become an important asset of the company. data are utilized for various improvements of the organization full stop keeping the data in a secured way is crucial in current Internet world. data are scrambled into various pieces in distributed computing systems for various reasons. In spite of distributed peer to peer storage and messaging systems such as ethereum swarm and ethereum Whisper and block chain Technology and efficient Framework is implemented. the storage need to be adaptive and effective during the centralized access. Comparing with the cloud based storage systems decentralized storage mechanism are economically good for all industries. Storing files in a decentralized system need robust security Framework such as block chain. the security of the file is ensured by making Complex encryption and decryption process. the proposed model considers these constraints an implemented and robust securing method using block chain Technology (RFSR). Here the files are stored and retrieved using interplanetary file systems (IPFS). Distributor application tap enabled secure computing system is implemented here. © 2022 IEEE.

关键词： Cryptography

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Intelligent data Collection Platform for Spanish Translation Training based on Word Semantic Matching Algorithm 4

Intelligent Data Collection Platform for Spanish Translation...

引用

4th international conference on Inventive Research in computing Applications, ICIRCA 2022

作者： Sun, Xiaotong School of International Studies Shandong Youth University of Political Science Shandong Jinan250103 China

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

this paper firstly proposes a search engine matching model based on concept lattice, which constructs concept lattices from natural language user queries and web documents, and then performs matching. When carrying out concept lattice matching, this paper proposes a concept lattice semantic matching algorithm based on WordNet. Based on the theory of language transfer in second language acquisition, it classifies and analyzes the mistakes made by students in Spanish translation exercises. Get the reasons for the mistakes of the students, so as to play a further guiding role in the teaching work © 2022 IEEE.

关键词： Search engines

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Ensemble Classification for Human Activity Recognition with Feature Reduction 4

Ensemble Classification for Human Activity Recognition with ...

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Kumar, Dinesh Bharti, Vishal Chandigarh University Department of Computer Science and Engineering Mohali India

ISBN: (纸本)9781665474368

Recognizing human action is an efficient method for identifying, deciphering, and identifying human patterns and activities. the hardest part is to obtain data about human activities. the ability to recognize another person's behaviours is the primary difficulty that existed prior to the methodical disciplines of artificial intelligence and machine learning. the technique for recognizing human activity is put into action in a variety of steps, including pre-processing the data, extracting the attributes, and classifying the data. this study suggests a hybrid version for recognizing human behavior that combines KMC, Principal Component Analysis, and several algorithms that are combined using voting mechanism. Python is used to test the methodology that is presented, and several metrics like accuracy, precision, and recall are taken into account to study the outcomes. © 2022 IEEE.

关键词： Python

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Ranking Published Images and Bidding for Corporate Purpose 4

Ranking Published Images and Bidding for Corporate Purpose

引用

4th international conference on Circuits, Control, Communication and computing, I4C 2022

作者： Soja Rani, S. Santhosh Krishna, B.V. Chandragiri, Sanjana R. Sah, Om Shankar Khadka, Hitesh New Horizon College of Engineering Dept of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350397475

All these years, information or the data on the web has grown incredibly, guiding so many researchers at the sector of Machine Language and NLP concepts. Research papers regarding Sentiment Analysis has its own compulsive topics. this paper is a literature survey on Sentiment Analysis in the corporate sector that tells you about the methods, advantages and their applications. Here a literature survey on sentiment analysis in the corporate sector is based on image ranking (which is done with the help of users comments in the images). © 2022 IEEE.

关键词： Sentiment analysis

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database System Design for Strong Electromagnetic Protection 4

Database System Design for Strong Electromagnetic Protection

引用

4th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2022

作者： Cao, Xuan Li, Mengxue Wang, Haipeng School of Information Science and Technology Fudan University Shanghai China China Ship Development and Design Centre Wuhan China

ISBN: (数字)9781665467735

ISBN: (纸本)9781665467735

the protection of aircraft or ships from strong electromagnetic radiation is a key issue during their navigation. With the repaid development of big data technology, it is possible now design the hardware under the guidance of database. However, it is always lack of specific database. In this paper, strong electromagnetic protection database system design is employed to predict the damage effect. Based on this design scheme, the database is designed according to the third normal form;the software part adopts modular design to improve the flexibility and expansibility. the results demonstrate the ability of system data analysis by designing machine learning module, and finally forms a powerful electromagnetic protection database system with relatively perfect function. © 2022 IEEE.

关键词： database systems

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A Strategy for Detecting Malicious Spam Emails using various Classifiers 4

A Strategy for Detecting Malicious Spam Emails using various...

引用

4th international conference on Inventive Research in computing Applications, ICIRCA 2022

作者： Abhishek, S. Sathish, Harsha Kumar, Arvind Anjali, T. Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amritapuri India

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

Today's society relies heavily on electronic mail as the primary method of exchanging essential information. Emails are a simple and quick way to share and receive electronic communication. Gmail, Hotmail, Yahoo! Mail, and Outlook are just a few software platforms and programs that may transmit and receive data. Spam emails have risen in tandem with the enormous increase in email usage. this paper proposes a strategy for detecting malicious spam emails using various classifiers, and compares typical Machine Learning algorithms based on accuracy, recall, and precision. © 2022 IEEE.

关键词： Machine learning

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Visual Cryptography: A Detailed Analysis 4

Visual Cryptography: A Detailed Analysis

引用

4th international conference on Cognitive computing and Information Processing, CCIP 2022

作者： Mittal, Tanusha Christa, Sharon Graphic Era Deemed to Be University Computer Science and Engineering Dehradun India

ISBN: (纸本)9781665456487

In today's world, securing data is becoming a very important issue for an individual. Some cryptographic techniques are already discovered and some are yet to be revealed. In this paper, we are surveying an advance method of data hiding i.e. Visual Cryptography. Visual cryptography is an encryption technique which hides the information by using images. the encrypted image can be decrypted by the human vision if the correct image key is used. In visual cryptography, we can transform a secret image into various shared images and the combination of these shared images can reveal the secret original image. this paper reviews about visual cryptography, the three techniques of visual cryptography i.e., Binary Image, Gray-Scale Image and Colored Image with its applications. © 2022 IEEE.

关键词： Binary images

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