This research delves into deep learning and machine vision applications for plant leaf disease detection in agricultural settings, focusing on farm village datasets. Utilizing a blend of authentic farm village data an...
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The proceedings contain 52 papers. The special focus in this conference is on intelligent Systems and Sustainable Computing. The topics include: Supervised Machine learning Method for Bone Cancer Detection and Classif...
ISBN:
(纸本)9789819783540
The proceedings contain 52 papers. The special focus in this conference is on intelligent Systems and Sustainable Computing. The topics include: Supervised Machine learning Method for Bone Cancer Detection and Classification;heart Disease Identification Using Ensemble learning and Deep learning;Eigenvalue-Based MRAC for All-Quadrant Vector-Controlled Induction Motor Drives Using Fictitious Resistance;PCOS Screening Using Machine learning and Ensemble learning Techniques in a Smart Way;MRI-Based Brain Tumour Detection and Classification Using Random Forest Algorithm;decentralizing Rides: A Blockchain Approach to Carpooling;a Privacy Preserving Decision Tree Classification Algorithm for Prediction of Health Care Monitoring System;drug Review Classification by Using Sentiment Analysis;dynamic Resource Management of Cloud Resources Using Machine learning Classification Approaches;deciphering Diabetes: Illuminating Prognostic Insights with an Interpretable Machine learning Framework;integrating Blockchain for Supply Chain Management of Agricultural and Food Products;a Comprehensive Survey on Traffic Light Detection Sensors for Vehicle Safety and Automatic Emergency Braking Systems Using Deep learning Techniques;a Multi-objective Smart Grid optimization: Integrating Swarm Intelligence with Domain-Specific Heuristics for Superior Energy Efficiency;generative Adversarial Networks for Semi-Supervised learning in Clinical Decision Support Systems;Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation Systems;optimized Task Scheduling in Diverse Distributed Systems with a Hybrid Genetic Algorithm Approach;scalable Real-Time Anomaly Detection in Financial Markets Using a Novel Machine learning Model;AI Enabled Swarm Application for Fire-Fighting Bots Over Web-Bluetooth APIs;disaster Management: Sentimental Analysis Using Tweets Based on Experience and Rehabilitation;movie Sense—Hybrid Movie Recommendation System with Sentimental An
With the rapid development of computer technology, more and more people are starting to use computers in their daily lives and work. During aircraft flight, traditional aviation products require a lot of manpower and ...
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With the rapid development of Internet of Things technology, intelligent signal detection has become a highly challenging key issue. Traditional manual feature extraction methods are no longer able to cope with comple...
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In response to the demand for real-time performance and control quality in industrial Internet of Things (IoT) environments, this paper proposes an optimization control system based on deep reinforcement learning and ...
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ISBN:
(纸本)9798350366105;9798350366099
In response to the demand for real-time performance and control quality in industrial Internet of Things (IoT) environments, this paper proposes an optimization control system based on deep reinforcement learning and edge computing. The system leverages cloud-edge collaboration, deploys lightweight policy networks at the edge, predicts system states, and outputs controls at a high frequency, enabling monitoring and optimization of industrial objectives. Additionally, a dynamic resource allocation mechanism is designed to ensure rational scheduling of edge computing resources, achieving global optimization. Results demonstrate that this approach reduces cloud-edge communication latency, accelerates response to abnormal situations, reduces system failure rates, extends average equipment operating time, and saves costs for manual maintenance and replacement. This ensures real-time and stable control.
Artificial Intelligence is currently in full swing, sweeping through many areas of our lives and production. This popular trend continues to strengthen, and there are many industries that are exploring convergence wit...
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ISBN:
(纸本)9798400709777
Artificial Intelligence is currently in full swing, sweeping through many areas of our lives and production. This popular trend continues to strengthen, and there are many industries that are exploring convergence with the field of artificial intelligence. The hotel industry is profoundly affected by it, in order to solve the problem of saving human resources and enhancing the image of the hotel to attract customers to stay, many hotels have realized intelligence, using robots to complete the task of customer ordering as well as carrying out the transfer of items, to a certain extent, to protect the privacy of customers. In the case of large hotel specifications and the period of soaring customer traffic during holidays, how to make robots carry out activities more efficiently is an urgent problem to be solved. The ant colony algorithm shows good optimization ability in solving the VRP problem, and in this paper, the ant colony algorithm is improved and applied to the path selection of robots' activities in the hotel, so as to improve the customer experience. Verified by simulation examples, the method can better solve the hotel robot activity route planning problem, which has certain positive significance for the intelligent development of the hotel industry.
This paper proposes an optimization algorithm for the coverage range of multi AP MESH wireless networking to address the problems of small wireless communication coverage and poor quality in underground pipe gallery e...
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In the mobile ecosystem, Android apps are expanding quickly, but malicious software for Android is also proliferating in ever-increasing quantities. The issue of identifying malware on Android has been examined by sev...
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Network anomaly prediction is a crucial aspect of network security, as it helps identify unusual or potentially malicious activities within a computer network. There are several approaches and techniques used for netw...
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Wireless networks have grown into an essential component of modern life as a result of the proliferation of wireless technology over what has been a decade. The science underlying machine learning (ML) focuses on enco...
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