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2021
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)
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Baby Kalpana, Meenakshi Shunmugam
: Machine Learning, Deep Learning and Soft Computing Deep Convolutional Neural Network For Detection of Malaria Parasite in Thin Blood Smear Images …………………………………………… ...
Multi-Objective Emperor Penguin Optimizer for Tuning the Quality-of-Service in Cloud Computing …………………………………………………………………………………………………95 Medical Image Enhancement with Brightness Preserving Based on Local ...
doi:10.1109/csnt51715.2021.9509703
fatcat:mvzviihlsbfpvehrnyhw2rnaxa
2021 Index IEEE Transactions on Industrial Informatics Vol. 17
2021
IEEE Transactions on Industrial Informatics
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TII Feb. 2021 980-990 Nondestructive Defect Detection in Castings by Using Spatial Attention Bilinear Convolutional Neural Network. ...
doi:10.1109/tii.2021.3138206
fatcat:ulsazxgmpfdmlivigjqgyl7zre
Papers by Title
2021
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)
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Generator Use Neural Network Improved Incremental conductance algorithm for MPPT in Photovoltaic System Improvement of Searching Data in MongoDB with the Usage of Oracle Database In-Depth Performance ...
Evaluation of Network Slicing Strategies in Large Scale Industry 4.0 Incorporation of a Viscosity-based Model in Nonlinear Finite Element Analysis for SPM Indoor sign Detection System for Indoor Assistance ...
doi:10.1109/ssd52085.2021.9429407
fatcat:3t6ah3fww5bbvodo3m467n7sji
Special issue on video and imaging systems for critical engineering applications [SI 1096]
2020
Multimedia tools and applications
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Moreover, artificial neural network when combined with pattern recognition techniques, such ...
# Springer Science+Business Media, LLC, part of Springer Nature 2020 A recent change in the global economy, experiencing an unparalleled integration of science and technology, i.e., smart watches, smartphones ...
Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1007/s11042-020-08672-5
fatcat:dmusbepcancb5i6jqo7hhf6a2m
The Overview of Database Security Threats' Solutions: Traditional and Machine Learning
2021
Journal of Information Security
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When using machine learning to deal with database security threats, the idea of ensemble learning is reasonable, better classification results can be obtained by using AdaBoost algorithm. ...
This paper introduces the main literature in the field of database security research in recent years. ...
Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper. ...
doi:10.4236/jis.2021.121002
fatcat:qrvje6sv7rbfrhgevewy4gyxom
Anomaly Detection via Reverse Distillation from One-Class Embedding
[article]
2022
arXiv
pre-print
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However, using similar or identical architectures to build the teacher and student models in previous studies hinders the diversity of anomalous representations. ...
Knowledge distillation (KD) achieves promising results on the challenging problem of unsupervised anomaly detection (AD).The representation discrepancy of anomalies in the teacher-student (T-S) model provides ...
The wide applications of AD, such as industrial defect detection [3] , medical out-of-distribution detection [50] , and video surveillance [24] , makes it a critical task as well as a spotlight. ...
arXiv:2201.10703v2
fatcat:6vr5ouot4nafdco6wxn3cclr3m
2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69
2020
IEEE Transactions on Instrumentation and Measurement
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Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862 ...
Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N., ...
., +, TIM May 2020 2084-2092 Random Cropping Ensemble Neural Network for Image Classification in a Robotic Arm Grasping System. ...
doi:10.1109/tim.2020.3042348
fatcat:a5f4fsqs45fbbetre6zwsg3dly
Research on Machine Vision System Design Based on Deep Learning Neural Network
2022
Wireless Communications and Mobile Computing
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Many of the challenges in computer vision revolve around using convolutional neural networks (CNN) to categorize images into predefined categories. ...
In the event of a computer vision system failure, firms must have a team of highly trained people with a thorough understanding of the distinctions. ...
In this paper, a method for identifying end face information of continuous casting billet based on convolutional neural network is proposed, the Le Net-5 model in convolutional neural network is applied ...
doi:10.1155/2022/4808652
fatcat:gs7v6brlsrf77ceizruldddufy
A Comprehensive Review of Supervised Learning Algorithms for the Diagnosis of Photovoltaic Systems, Proposing a New Approach Using an Ensemble Learning Algorithm
2024
Applied Sciences
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In this article, we propose a supervised learning algorithm that can detect and classify PV system defects. ...
We explore the various types of faults that can occur in a PV system and provide a concise overview of the most commonly used machine learning and supervised learning techniques in diagnosing such systems ...
For example, Amiri et al. proposed a Deep Learning algorithm that combines convolutional and bidirectional recurrent neural networks to detect faults in a PV system [19] . ...
doi:10.3390/app14052072
fatcat:h63xvotb7bfphfdlv45dzafk34
Program of the Multi-Conference on Systems, Signals & Devices
2021
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)
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Monastir occupies a privileged geographical position between the center and the south of Tunisia, with a wide opening on the Mediterranean. ...
General Informations Location SSD Multiconference has been held in Monastir, Tunisia. ...
Topics: -Fuzzy systems & fuzzy control -Neuro-fuzzy systems -Learning processes in control -Neural Networks & Neural control -Machine learning & artificial intelligence in control • Complex systems -Analysis ...
doi:10.1109/ssd52085.2021.9429391
fatcat:5hnu6ay5inemhf275kqonilrpa
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI
[article]
2024
arXiv
pre-print
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Artificial Intelligence (AI) models, especially Bayesian Neural Networks (BayNNs) are resource-intensive and face challenges with traditional computing architectures due to the memory wall problem. ...
Computing-in-Memory (CIM) with emerging resistive memories offers a solution by combining memory blocks and computing units for higher efficiency and lower power consumption. ...
Also, by using their stochastic regime, RNG implementation is possible using the same technology. 4) Modeling defects in Devices: Understanding and accounting for modeling defaults in devices is crucial ...
arXiv:2401.06195v1
fatcat:tigqm4skpjg7do6zfklmaep6um
Schedule
2021
2021 6th International Conference for Convergence in Technology (I2CT)
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Captioning using Convolutional Neural
Networks and Recurrent Neural Network
3.16
PM
3.30
PM
4
935
Dr. ...
Labade
(Mob No :
9890190671)
2
623 Vinay Kumar Addala
Detection and Classification of COVID 19 using
Convolutional Neural Network from Chest X-ray
Images
3.01
PM
3.15
PM
3
839
Bhushan ...
doi:10.1109/i2ct51068.2021.9417932
fatcat:werfkg6g65dfzesamouckqcxhy
2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70
2021
IEEE Transactions on Instrumentation and Measurement
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number. ...
., +, TIM 2021 3512210 Dual-Ensemble Multi-Feedback Neural Network for Gearbox Fault Diagnosis. ...
doi:10.1109/tim.2022.3156705
fatcat:dmqderzenrcopoyipv3v4vh4ry
Neuromorphic microelectronics from devices to hardware systems and applications
2016
Nonlinear Theory and Its Applications IEICE
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A regain of interest has been observed in the middle of the 2010s', which manifests itself from the emergence of large-scale projects integrating various computational and hardware perspectives, by the ...
Neuromorphic systems aiming at mimicking some characteristics of the nervous systems of living humans or animals have been developed since the late 1980s', taking benefit of intrinsic properties and increasing ...
The voter is used in an artificial neural network topology to recover correct binary operation in cases of massive defect density. ...
doi:10.1587/nolta.7.468
fatcat:2lvkjxhetnghtmbbow4mfcqqjm
2020 Index IEEE Transactions on Industrial Informatics Vol. 16
2020
IEEE Transactions on Industrial Informatics
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Photovoltaic Arrays Using GBSSL Method and Proposing a Fault Correction System; TII Aug. 2020 5300-5308 ...
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022 ...
Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders. ...
doi:10.1109/tii.2021.3053362
fatcat:blfvdtsc3fdstnk6qoaazskd3i
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