The proceedings contain 78 papers. The topics discussed include: an adaptive federated learning intrusion detection system based on generative adversarial networks under the internet of things;detecting digital govern...
ISBN:
(纸本)9798400716416
The proceedings contain 78 papers. The topics discussed include: an adaptive federated learning intrusion detection system based on generative adversarial networks under the internet of things;detecting digital government answer quality: an integrated method based on large language models and machinelearning models;depression recognition based on deep learning using RR intervals;a visual embedding for the supervised image based on self-attention;an improved circle search algorithm by utilizing multi-strategy for numerical optimization;fast visual localization algorithm based on nearest neighbor search;research on the identification algorithm of ancient glass relics;sparse learning for linear twin parameter-margin support vector machine;and three-dimensional trajectory planning based on ant colony algorithm with main parameters automatic adjustment.
The proceedings contain 73 papers. The topics discussed include: research on fire risk prediction method based on multi-source data perception;research on knowledge graph and GAN based data expansion methods;SCCGCN: a...
ISBN:
(纸本)9798400710353
The proceedings contain 73 papers. The topics discussed include: research on fire risk prediction method based on multi-source data perception;research on knowledge graph and GAN based data expansion methods;SCCGCN: a skip-connection coupled graph convolutional network with dynamic fusion attention mechanism for traffic flow prediction;transfer learning and CNN-based framework for intrusion detection in highway Internet toll systems;secure computation offloading and resource allocation for ultra-dense multi-access mobile edge computing networks;a clustering algorithm for connectivity in cognitive vehicular network with digital twin;distribution network load forecasting based on deep learning;and construction of a news event influence assessment model based on machinelearning.
The proceedings contain 69 papers. The topics discussed include: dynamic region fusion neural radiance fields for audio-driven talking head generation;food named entity recognition with BERT and adversarial training;a...
ISBN:
(纸本)9798350354973
The proceedings contain 69 papers. The topics discussed include: dynamic region fusion neural radiance fields for audio-driven talking head generation;food named entity recognition with BERT and adversarial training;a multimodal named entity recognition approach based on multi-perspective contrastive learning;a selective ensemble learning method for time series forecasting;MilChat: a large language model and application for military equipment;five years of COVID-19 discourse on Instagram: a labeled Instagram dataset of over half a million posts for multilingual sentiment analysis;VTN-EG: CLIP-based visual and textual fusion network for entity grounding;fact-aware abstractive summarization based on prompt information and re-ranking;and poisoning attacks against non-IID federated learning with mixed-data calibration.
The proceedings contain 220 papers. The topics discussed include: unmasking pneumothorax: deep learning strategies for precise classification and segmentation;CNN-enabled generation of comprehensive reports from chest...
ISBN:
(纸本)9798350349221
The proceedings contain 220 papers. The topics discussed include: unmasking pneumothorax: deep learning strategies for precise classification and segmentation;CNN-enabled generation of comprehensive reports from chest and orthopedic radiographs;smart aeroponic farms with IoT-enabled efficient automation and monitoring;health data tracking for effective health care monitoring system using fog computing;a smart automated roller clamp for iv therapy;harnessing deep learning for precise diagnosis of 6 types of cancers;load sharing autonomous hybrid micro-grid interlinking converter;cyber sleuth: harnessing NLP and blockchain for twitter based fake news detection;identifying rocks and mineral resources using hyper spectral analysis;and RESNET-101 and faster R-CNN fusion accurate brain tumor detection and categorization.
The proceedings contain 18 papers. The topics discussed include: edge computing framework design for power intelligent IoT;predictive model based on machinelearning for raw material purchasing management in the retai...
ISBN:
(纸本)9798400717116
The proceedings contain 18 papers. The topics discussed include: edge computing framework design for power intelligent IoT;predictive model based on machinelearning for raw material purchasing management in the retail sector;digital twin approach for machining with robotic manipulator;design and application of intelligent wheeled herding robot: the idea of smart grazing;research on multipoint mobile network positioning technology based on Bluetooth mesh;multi-modal deep neural network application on feature extraction and content-based image retrieval;non-autoregressive sign language translation: a transformer encoder-only approach for enhanced multimodal integration;non-autoregressive sign language translation: a transformer encoder-only approach for enhanced multimodal integration;DenseReg: point cloud registration based on dense feature refinement;and research on the segmentation of instructional videos based on visual information.
The proceedings contain 41 papers. The topics discussed include: optimizing vehicle loan default detection with synthetic balancing techniques;LigMANet: towards designing a lightweight crowd counting model;optimizatio...
ISBN:
(纸本)9798350359374
The proceedings contain 41 papers. The topics discussed include: optimizing vehicle loan default detection with synthetic balancing techniques;LigMANet: towards designing a lightweight crowd counting model;optimization of acoustic and flow performance in a perforated muffler;complexity measurement for multitask classification problems in machinelearning;prototype of a system to assist the urologist in the recognition of urinary bladder tumors in MRI images;sign language translator for dumb and deaf;didactic system for the control of bleeding;classifying DNS over HTTPS malicious/benign traffic using deep learning models;and a study on developmental artificial neural networks that integrate multiple functions using variational autoencoder.
The proceedings contain 60 papers. The special focus in this conference is on Artificial-Business Analytics, Quantum and machinelearning: Trends, Perspectives, and Prospects. The topics include: Particle Swarm Optimi...
ISBN:
(纸本)9789819748594
The proceedings contain 60 papers. The special focus in this conference is on Artificial-Business Analytics, Quantum and machinelearning: Trends, Perspectives, and Prospects. The topics include: Particle Swarm Optimization for Efficient Data Dissemination in VANETs;a Reactive Approach for High-Accuracy and Data-Driven Customer Behaviour Analysis and Prediction;a Brief Survey on Fabric Defect Detection;CNN Based Real Time Detection of Words from Lip Movements and Automated into Text;application of Artificial Intelligence for the Diagnosis of Dementia (Alzheimer): A Systematic Evaluation;shortest Job First with Gateway-Based Resource Management Strategy for Fog Enabled Cloud computing;software Vulnerability Analysis Based on Statistical Characteristics;hate Speech Detection on Twitter: A Comparative Evaluation of Different machinelearning Techniques;detection of Heart Disease Using machinelearning;SVM-Based Framework for Breast Cancer Detection;hand Gesture Recognition System Using machinelearning;deep learning Method for Plant Disease Recognition and Prediction;Lung Cancer Detection by Using CNN Architecture Models;deep Fake Analyser: A Review Based on Detecting the Deepfakes;predicting the Outcomes of La Liga Matches;Artifact Detection and Removal in EEG: A Review of Methods and Contemporary Usage;analyzing the Employee Attrition Rate: A Comparative Study of Various machinelearning Approaches to Foresee Employee Attrition;satellite Image Classification Using Deep learning for Big Earth Data;tackling Misinformation Through Tweets: A Comparative Study of Various machinelearning Approaches;feature-Based Anomaly Detection in Static Social Networks;framework for Optimising Supply Chain Analysis Using machinelearning;evaluation of Load Forecasting in Intelligent Grid Systems Through machinelearning Techniques.
The proceedings contain 60 papers. The special focus in this conference is on Artificial-Business Analytics, Quantum and machinelearning: Trends, Perspectives, and Prospects. The topics include: Particle Swarm Optimi...
ISBN:
(纸本)9789819725076
The proceedings contain 60 papers. The special focus in this conference is on Artificial-Business Analytics, Quantum and machinelearning: Trends, Perspectives, and Prospects. The topics include: Particle Swarm Optimization for Efficient Data Dissemination in VANETs;a Reactive Approach for High-Accuracy and Data-Driven Customer Behaviour Analysis and Prediction;a Brief Survey on Fabric Defect Detection;CNN Based Real Time Detection of Words from Lip Movements and Automated into Text;application of Artificial Intelligence for the Diagnosis of Dementia (Alzheimer): A Systematic Evaluation;shortest Job First with Gateway-Based Resource Management Strategy for Fog Enabled Cloud computing;software Vulnerability Analysis Based on Statistical Characteristics;hate Speech Detection on Twitter: A Comparative Evaluation of Different machinelearning Techniques;detection of Heart Disease Using machinelearning;SVM-Based Framework for Breast Cancer Detection;hand Gesture Recognition System Using machinelearning;deep learning Method for Plant Disease Recognition and Prediction;Lung Cancer Detection by Using CNN Architecture Models;deep Fake Analyser: A Review Based on Detecting the Deepfakes;predicting the Outcomes of La Liga Matches;Artifact Detection and Removal in EEG: A Review of Methods and Contemporary Usage;analyzing the Employee Attrition Rate: A Comparative Study of Various machinelearning Approaches to Foresee Employee Attrition;satellite Image Classification Using Deep learning for Big Earth Data;tackling Misinformation Through Tweets: A Comparative Study of Various machinelearning Approaches;feature-Based Anomaly Detection in Static Social Networks;framework for Optimising Supply Chain Analysis Using machinelearning;evaluation of Load Forecasting in Intelligent Grid Systems Through machinelearning Techniques.
The proceedings contain 69 papers. The special focus in this conference is on Big Data, IoT and machinelearning. The topics include: Phylogeny Reconstruction Using k-mer Derived Transition Features;developing an Inte...
ISBN:
(纸本)9789819989362
The proceedings contain 69 papers. The special focus in this conference is on Big Data, IoT and machinelearning. The topics include: Phylogeny Reconstruction Using k-mer Derived Transition Features;developing an Interpretable machinelearning Model for Divorce Prediction;riot Perception and Safety Navigation of Autonomous Vehicles Using Deep learning;An Explainable AI Enable Approach to Reveal Feature Influences on Social Media Customer Purchase Decisions;Field Programmable Gate Array in DNA computing;XAI-Driven Model Explainability and Prediction of P2P Bank Loan Default Network;design Implication of a Compact-Sized, Low-Fidelity Rover for Tough Terrain Exploration;VioNet: An Enhanced Violence Detection Approach for Videos Using a Fusion Model of Vision Transformer with Bi-LSTM and 3D Convolutional Neural Networks;rank Your Summaries: Enhancing Bengali Text Summarization Via Ranking-Based Approach;an Efficient machinelearning Classification Model for Rainfall Prediction in Bangladesh;study on the Analysis and Prediction of Drug Addiction Among University Students of Bangladesh Using machinelearning;A Deep CNN-Based Approach for Revolutionizing Bengali Handwritten Numeral Recognition;performance Analysis of Multiple Deep learning Models for Image Retrieval Problems;Advancing Lung Cancer Diagnosis Through Deep learning and Grad-CAM-Based Visualization Techniques;a Novel Approach to Detect Stroke from 2D Images Using Deep learning;Enhancing Pneumonia Diagnosis: An Ensemble of Deep CNN Architectures for Accurate Chest X-Ray Image Analysis;dataset for Road Roughness Assessment Using Image Classification Techniques and Deep learning Models: A Case Study on Bangladeshi National Highways;Noise-Aware-Based Texture Descriptor, Evaluation Adjacent Distance Local Ternary Pattern EAdLTP for Image Classification.
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