The proceedings contain 108 papers. The special focus in this conference is on Wireless Artificial intelligentcomputingsystems and Applications. The topics include: Profinder: Towards Professionals Recognition on...
ISBN:
(纸本)9783031714634
The proceedings contain 108 papers. The special focus in this conference is on Wireless Artificial intelligentcomputingsystems and Applications. The topics include: Profinder: Towards Professionals Recognition on Mobile Devices for Users with Cognitive Decline;truthful Double Auction-Based Resource Allocation Mechanisms for Latency-Sensitive Applications in Edge Clouds;V2ICooper: Toward Vehicle-to-Infrastructure Cooperative Perception with Spatiotemporal Asynchronous Fusion;recommendation-Aware Collaborative Edge Caching Strategy in the Internet of Vehicles;towards Robust Internet of Vehicles Security: An Edge Node-Based Machine Learning Framework for Attack Classification;device-Edge-Cloud Collaborative Video Stream Processing and Scheduling Strategy Based on Deep Reinforcement Learning;consistent Low-Latency Scheduling for Microsecond-Scale Tasks in Data Centers;multi-scale Data Reconstruction Based Policy Optimization Algorithm for Skill Learning;Joint Optimization Design of Intelligence Reflecting Surface Assisted MU-MISO System Based on Deep Reinforcement Learning;Secure Motion Verification for High Altitude Platforms with a Hybrid AOA-TDOA-FDOA Scheme;variational Autoencoder Based Automatic Clustering for Multivariate Time Series Anomaly Detection;deep Reinforcement Learning Based Economic Dispatch with Cost Constraint in Cyber Physical Energy System;inceptionNeXt Network with Relative Position Information for Microexpression Recognition;adMarks: Image Steganography Based on Adversarial Perturbation;a Review on Binary Code Analysis Datasets;low-Cost Robot Path Planning Mechanism for Escaping from Dead Ends;towards Communication-Efficient Collaborative Perception: Harnessing Channel-Spatial Attention and Knowledge Distillation;improving Anomaly Scene Recognition with Large Vision-Language Models;ReSU-Net: State Space Model for 3D Abdominal Multi-organ Segmentation;autocue : Targeted Textual Adversarial Attacks with Adversarial Prompts;universal Sign Language
The proceedings contain 222 papers. The topics discussed include: automation of traffic signal for better commutation of vehicles;an algorithmic and machine learning approach for yoga asanas feedback;potential of visi...
ISBN:
(纸本)9798331523893
The proceedings contain 222 papers. The topics discussed include: automation of traffic signal for better commutation of vehicles;an algorithmic and machine learning approach for yoga asanas feedback;potential of vision transformer in leukemia detection;integrative personalized oncology: leveraging multi-source data and drug solubility for optimal cancer treatment;generative adversarial networks for melanoma detection;improving English text machine translation quality with cutting-edge neural network systems;automated assessment of pizza quality using computer vision and deep learning techniques;15 puzzle problem solving by using heuristic-based approaches;and advancing phishing detection with random forest: a machine learning approach for enhanced cybersecurity.
The proceedings contain 53 papers. The special focus in this conference is on intelligentsystems in computing and Communications. The topics include: Towards Hands-Free computing: AI Virtual Mouse Interface Powered b...
ISBN:
(纸本)9783031756078
The proceedings contain 53 papers. The special focus in this conference is on intelligentsystems in computing and Communications. The topics include: Towards Hands-Free computing: AI Virtual Mouse Interface Powered by Gestures;smartAgro: Precision Yield Prediction, Crop Insights, and Real-Time Dashboard;Artificial Intelligence with MRI-Guided Radiation Therapy for Cancer Treatment;Software Requirements to UML Class Diagrams Using Machine Learning and Rule-Based Approach;CFALEA_LSTM: Adaptive Lotus Effect Algorithm Enabled Long Short-Term Memory for Rainfall Prediction Using Time Series Data;a Deep Learning Survey on Diseases Prediction and Detection in Health Care;fault Diagnosis in Belts Using Signal Processing Techniques and Machine Learning;machine Learning Techniques Based Chronic Kidney Disease Detection with Performance Analysis of Fuzzy Rough Set and Correlation Attribute Selection;segmentation and Classification of Unharvested Arecanut Bunches Using Deep Learning;enhanced Satellite Image Fusion Using Deep Learning and Feature Extraction Techniques: A Survey;intelligent Aircraft Antiskid Braking systems – A Review;artificial Neural Networks Applied in the Detection of Breast Cancer;supervised and Unsupervised Learning Techniques for Malware Classification Based on Opcode Frequency Features;predictive Analytics for Diagnosing Alzheimer’s Disease Using Artificial Intelligence and Machine Learning Algorithms;A Comprehensive Study on Artificial Intelligence (AI) Driven Internet of Healthcare Things (IOHT);predictive Models for the Early Diagnosis and Prognosis of Knee Osteoarthritis Using Deep Learning Techniques;predicting Salinity Resistance of Rice at the Seedling Stage: An Evaluation of Transfer Learning Methods;Multi-camera HD Pedestrian Dataset for Person Detection and Re-identification;Fire Detection System Using Deep CNN.
The proceedings contain 53 papers. The special focus in this conference is on intelligentsystems in computing and Communications. The topics include: Towards Hands-Free computing: AI Virtual Mouse Interface Powered b...
ISBN:
(纸本)9783031756047
The proceedings contain 53 papers. The special focus in this conference is on intelligentsystems in computing and Communications. The topics include: Towards Hands-Free computing: AI Virtual Mouse Interface Powered by Gestures;smartAgro: Precision Yield Prediction, Crop Insights, and Real-Time Dashboard;Artificial Intelligence with MRI-Guided Radiation Therapy for Cancer Treatment;Software Requirements to UML Class Diagrams Using Machine Learning and Rule-Based Approach;CFALEA_LSTM: Adaptive Lotus Effect Algorithm Enabled Long Short-Term Memory for Rainfall Prediction Using Time Series Data;a Deep Learning Survey on Diseases Prediction and Detection in Health Care;fault Diagnosis in Belts Using Signal Processing Techniques and Machine Learning;machine Learning Techniques Based Chronic Kidney Disease Detection with Performance Analysis of Fuzzy Rough Set and Correlation Attribute Selection;segmentation and Classification of Unharvested Arecanut Bunches Using Deep Learning;enhanced Satellite Image Fusion Using Deep Learning and Feature Extraction Techniques: A Survey;intelligent Aircraft Antiskid Braking systems – A Review;artificial Neural Networks Applied in the Detection of Breast Cancer;supervised and Unsupervised Learning Techniques for Malware Classification Based on Opcode Frequency Features;predictive Analytics for Diagnosing Alzheimer’s Disease Using Artificial Intelligence and Machine Learning Algorithms;A Comprehensive Study on Artificial Intelligence (AI) Driven Internet of Healthcare Things (IOHT);predictive Models for the Early Diagnosis and Prognosis of Knee Osteoarthritis Using Deep Learning Techniques;predicting Salinity Resistance of Rice at the Seedling Stage: An Evaluation of Transfer Learning Methods;Multi-camera HD Pedestrian Dataset for Person Detection and Re-identification;Fire Detection System Using Deep CNN.
The massive progression of the multi-tier edge cloud computingsystems integration has created the possibility of data orchestration and resource control in edge and cloud layers. However, there are many shortcomings,...
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With the use of sophisticated movement monitoring, computer vision, and artificial intelligence algorithms, gesture controlsystems transform interactions in environments that pose a threat to human safety. These solu...
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This paper explores intelligent traffic light management advancements, focusing on controlling intersection traffic opening times. The decision-making process is influenced by factors such as traffic density. The info...
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ISBN:
(纸本)9783031820724;9783031820731
This paper explores intelligent traffic light management advancements, focusing on controlling intersection traffic opening times. The decision-making process is influenced by factors such as traffic density. The information for these decisions is gathered from sensors placed on the streets, whose accuracy can vary. Data collected are processed to aid control agents in decision-making. The paper proposes an intersection control algorithm that operates under the assumption of lacking sensorisation. To balance raw sensor data, control nodes implement a reinforced learning algorithm to select the most suitable combination of sensors to improve traffic parameters. The paper also introduces a method for calculating traffic density by combining sensors with imprecise data. This research contributes to intelligent traffic management by providing a novel approach to intersection control and traffic density calculation.
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