Global food security and agricultural production are seriously threatened by tomato diseases. this research suggest a deep learning-based automated detection system, the YOLOv5 algorithm, which is well-known for its e...
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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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the developing field of enhanced diagnostic techniques in the diagnosis of infectious diseases, constitutes a crucial domain in modern healthcare. By utilizing Gas Chromatography-Ion Mobility Spectrometry (GC-IMS) dat...
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this paper introduces a project enabling non-coders to control a Poppy Ergo Jr. robotic arm with Dynamixel servomotors. Originally using a Raspberry Pi and Pixl board, various constraints related to importation led to...
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ISBN:
(纸本)9798400709944
this paper introduces a project enabling non-coders to control a Poppy Ergo Jr. robotic arm with Dynamixel servomotors. Originally using a Raspberry Pi and Pixl board, various constraints related to importation led to adopting a ROBOTIS OpenCM9.04 board. A client-server architecture was implemented for remote control, with creative coding platforms (***, Processing, Pure Data, Python) as clients. the server, utilizing a two-layer architecture, manages communication and interfaces withthe ROBOTIS OpenCM9.04 board. the OSC andWebSocket protocols were chosen for communication due to their flexibility and their ease of use. Clients were developed for each platform, leveraging compatibility layers.
Cryptocurrency mining requires high processing power which made the miners to use malware to steal the processing power of the computers unethically without the permission of the users using crypto-mining malwares. A ...
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Withthe rapid development of modern communication technology, in the fields of the Internet of things, smart cities and autonomous driving, in order to meet the high bandwidth and low latency characteristics of 5G (5...
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ISBN:
(纸本)9798400709777
Withthe rapid development of modern communication technology, in the fields of the Internet of things, smart cities and autonomous driving, in order to meet the high bandwidth and low latency characteristics of 5G (5th-Generation) networks, as well as the urgent needs of processing massive data and providing real-time intelligent services, it is imperative to improve and optimize the communication AI (Artificial Intelligence) model. therefore, this paper moves data processing and analysis from the centralized cloud to the edge of the network, near the user access point, aiming to reduce data transfer time and improve response speed, and utilizes artificial intelligence technology to enable more efficient and adaptive network management and service customization. this paper focuses on the role and advantages of edge computing in 5G communication, the application of artificial intelligence combined with edge computing in 5G communication, and the realization of edge AI technology architecture. Finally, two sets of simulation results are as follows: the average accuracy error of the optimized edge AI model and cloud AI model is less than 1%, and the average response time is reduced by 31.9ms. the research helps to better understand network behavior, predict and manage traffic, and dynamically deploy resources.
the proceedings contain 17 papers. the special focus in this conference is on Software Testing, Machine Learning and Complex Process Analysis. the topics include: the Influence of Self-organizing Teams on the Structur...
ISBN:
(纸本)9783030714710
the proceedings contain 17 papers. the special focus in this conference is on Software Testing, Machine Learning and Complex Process Analysis. the topics include: the Influence of Self-organizing Teams on the Structure of the Social Graph;making Bounded Model Checking Interprocedural in (Static Analysis) Style;static Taint Analysis for JavaScript Programs;generation of Testing Metrics by Using Cluster Analysis of Bug Reports;building an Adaptive Logs Classification System: Industrial Report;Development of the Test Suite with Formally Verified FSM Coverage: A Case Study;generation of Test-Based Traces for Automated Partial Software Specifications Extraction;chaotic Time Series Prediction: Run for the Horizon;machine Learning and Value Generation in Software Development: A Survey;the Conception of Strings Similarity in Software Engineering;Multi-perspective Process Mining with Embedding Configurations into DB-Based Event Logs;On DB-Nets and their Applications;pre-processing Network Messages of Trading systems into Event Logs for Process Mining;time Series Classification Based on Visualization of Recurrence Plots;relation Between Test Coverage and Timed Automata Model Structure.
the proceedings contain 146 papers. the topics discussed include: modified GSEE algorithm for hyperspectral endmember extraction;hybrid feature enhance filter (HFEF) for underwater vision navigation;a MMG indices-base...
ISBN:
(纸本)9781728163246
the proceedings contain 146 papers. the topics discussed include: modified GSEE algorithm for hyperspectral endmember extraction;hybrid feature enhance filter (HFEF) for underwater vision navigation;a MMG indices-based scheme for fault detection in series-compensated power transmission system;hybrid random forest and particle swarm optimization algorithm for solar radiation prediction;improving the cognitive levels of automatic generated questions using neuro-fuzzy approach in e-assessment;multi-species protein association prediction using residual graph convolutional network;estimation and validation of enhanced resolution brightness temperature products of SCATSAT-1;and fast charging stations supported by flywheel energy storage systems.
the proceedings contain 47 papers. the special focus in this conference is on Computational Intelligence. the topics include: Integrative Deep Learning for Diabetic Retinopathy and Glaucoma Detection in Ocular Images;...
ISBN:
(纸本)9789819767250
the proceedings contain 47 papers. the special focus in this conference is on Computational Intelligence. the topics include: Integrative Deep Learning for Diabetic Retinopathy and Glaucoma Detection in Ocular Images;toxicity Detection and Classification in Arabic Text;neuroCogNet: Advanced Computational Intelligence for Neurological Diagnosis;machine Learning-Based Comprehensive Framework for Stock Prediction;mild Cognitive Impairment Conversion Prediction;modeling Scalable Lab Environment for Academia through Kubernetes Cluster;enhancing Suspect Identification: Automated Composite Sketch Generation and Recognition;human Activity Recognition Using Federated Transfer Learning;a Critical Assessment of Task Scheduling algorithms in Cloud computing: A Comparative Approach;enhancing Sarcasm Detection Using Deep Learning;From Bugs to Hugs: Decoding LLMs Tools and Extensions for Constrained Coding;EnviroWatch: A Comprehensive Environmental Monitoring Web Frame and Cleanup Coordination System Using CNN;multi-level Security threats Projection in Edge computing;a Comparative Analysis of Deep Learning Models for Wildlife Prediction;A BERT-BiLSTM Approach for Socio-political News Detection;yolov8-Based Early Detection Model for Lame Broilers;enhancing the Diagnosis of Liver Disease: Combining Machine Learning withthe Indian Liver Patient Dataset;navigating Cloud Security: Developing Privacy-Aware Architectures for Service Industry Data Protection;stability of Accumulation of Granular Columns Based on Chaos Optimization Algorithm;a Comparative Study of Computational algorithms for Finding Motif in the Genome of Viruses;quantum computing Error Mitigation Advance in Real-Time Quantum Computer with Novel Quantum Using Superposition and Entanglement of Qubits;Sound Secret Audio Crypt—LSB-Based Audio Steganography Using RSA;DAMPSO: Dynamic Accelerated Memory-Based PSO for Hyperparameter Tuning of Plant Disease Classifiers;startup Success Prediction Using Machine Learning;OncoScan3D
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