the proceedings contain 141 papers. the topics discussed include: FLC control based Sepic for power factor correction;farm decision support system(FDSS) with various environmental factors using decision trees;cryptogr...
ISBN:
(纸本)9798350386813
the proceedings contain 141 papers. the topics discussed include: FLC control based Sepic for power factor correction;farm decision support system(FDSS) with various environmental factors using decision trees;cryptography and adversarial analysis for cloud data security;automated multilingual multimedia dissemination of government press releases;multifaceted approaches for facial image compression: a review on state of art techniques and applications;a comparative examination of bagging techniques for EEG-based hand gesture classification;anomaly detection analysis for water quality data : a case study of Varthur Lake, Bangalore;visualizing the global streaming landscape: an in-depth analysis of Netflix content distribution using tableau data visualization tool;and predicting cyber-attacks through the use of deep learning algorithms.
the proceedings contain 76 papers. the topics discussed include: a method for Chinese sarcasm detection based on enhanced cross-entropy and regularization;CNN-BiGRU-attention: a time series-based traffic flow predicti...
ISBN:
(纸本)9798350355925
the proceedings contain 76 papers. the topics discussed include: a method for Chinese sarcasm detection based on enhanced cross-entropy and regularization;CNN-BiGRU-attention: a time series-based traffic flow prediction model;inevitable exposure: analyzing the privacy paradox in the age of digital connectivity with machine learning paradigms;research on data fusion algorithms for non-stop overload detection on highways;deep learning based automatic detection algorithm of atrial fibrillation implemented on FPGA;the effect of data transformation techniques on machine learning performance: a case study on student dropout prediction;a novel semi-supervised learning method using causal margin adaptation for imbalanced classification;and revolutionizing requirements elicitation: deep learning-based classification of functional and non-functional requirements.
the proceedings contain 52 papers. the topics discussed include: evaluating the performance of a MIMO channel under tree shadowing for low-altitude UAVs;eco-design applied to FDM 3D printing technology;a tethered unma...
ISBN:
(纸本)9798350372878
the proceedings contain 52 papers. the topics discussed include: evaluating the performance of a MIMO channel under tree shadowing for low-altitude UAVs;eco-design applied to FDM 3D printing technology;a tethered unmanned aircraft system for crowd dynamics and unusual pattern extraction;the future of privacy: a review on AI’s role in shaping data security;enhancing industry 4.0 cybersecurity training through cyber range platform;the selectively integrated returns intelligent optimization system – SΕIRIOS;segment anything model for scan-to-structural analysis in cultural heritage;a naive bayes classifier for fault detection and classification using dimension reduction technique;bias detection and correction methods for machine learning algorithms;and perceptions of international students in a higher education institute in Sweden.
the proceedings contain 45 papers. the topics discussed include: deep learning for comprehensive retinal health: beyond automated fundoscopy – classification, segmentation, and retinal image reconstruction;classifica...
ISBN:
(纸本)9798350363739
the proceedings contain 45 papers. the topics discussed include: deep learning for comprehensive retinal health: beyond automated fundoscopy – classification, segmentation, and retinal image reconstruction;classification of raw single-trial EEG/ERP signals of a combined subjects’ data sample in response to the presentation of mathematical sums, correct and incorrect answers to them, using CNNs;evaluation of physical exercise performance using deep learning methods;application of spatial attention module in convolutional neural network for oct images analysis;performance evaluation of Ramanujan transform with OMP and BP algorithms;comparison of different machine learning approaches for individual subject classification of single-trial event related potentials during perception of correct and incorrect math solutions;and artificial intelligence-assisted water quality model: long-term follow-up data.
Heart attacks and other sudden deadly coronary artery diseases are still a threat to people all over the world, so it's important to diagnose them as soon as possible. the paper presents a systematic review of mac...
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this article presents a new cryptographic technique combining Soham transformation technique with congruence modulo operator for improving the security of data. the method utilises mathematical formulas to code and de...
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Data mining in the educational field has been commonly used to analyze patterns in academic databases that are hard to analyze manually. the main objective of this paper is to compare the performance of data mining al...
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the proceedings contain 135 papers. the topics discussed include: LearnSync: navigating learning opportunities;ultra-wideband pattern reconfigurable antenna for base station applications;finite-time frequency control ...
ISBN:
(纸本)9798350376753
the proceedings contain 135 papers. the topics discussed include: LearnSync: navigating learning opportunities;ultra-wideband pattern reconfigurable antenna for base station applications;finite-time frequency control of an islanded microgrid system;blockchain-enabled distributed payment card tokenization system;probabilistic free riding attack in federated learning;dual-band MIMO array for 5G wireless networks;CFD and thermal analysis of electric vehicle battery pack;revolutionizing sentiment analysis: accelerated data science approaches for reddit submissions;defect mediated Sc2CO2 MXene monolayer for sensing small gas molecules: a first principle study;enhancing financial market analysis bitcoin vs gold through machine learning algorithms: a study on risk assessment and portfolio management;two step federated learning approach in brain stroke identification and classification via fine-tuning EfficientNetB0 network at edge nodes;and privacy-preserved stress detection from wearables using federated learning.
this study aims to evaluate the effectiveness of three algorithms in clustering handwritten digit images from the MNIST dataset. the clustering algorithms assessed in this study are K-Means, Agglomerative Clustering, ...
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the system entails the development of a sentiment analysis system consisting of two integral modules aimed at analysing audio recordings of calls. the first module predicts sentiment-positive, negative, or neutral-by ...
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