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检索条件"任意字段=Proceedings of the 7th International Conference on Algorithms, Computing and Systems"

共 3422 条记录，以下是411-420 订阅

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Bird Call Recognition using Acoustic based Feature Selection approach in Machine Learning 7

Bird Call Recognition using Acoustic based Feature Selection...

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Mishra, Shivam Ghatak, Rumpa Singh, Vishal Kumar Singh, Shivam Kumar Mahato, Anisha Information Technology Techno International New Town Kolkata India

ISBN: (纸本)9798350304268

the recognition of bird calls has been a challenging task in the field of bioacoustics. With the advancement of machine learning algorithms, automatic bird call recognition has become an active research area. In this paper, acoustic feature selection is used which involves the extraction of relevant features from audio recordings of bird calls. then different classification algorithms are explored for the recognition of the bird calls. Evaluation of the approach is done on a dataset consisting of recordings from multiple bird species and compared it with other state-of-the-art machine learning algorithms. this research has the potential to contribute to the conservation of bird species and their habitats by enabling the efficient monitoring of bird populations. the data is classified into four different classes (namely Astfly, Bulori, Warvir and Woothr). All of which is found in the depths of Amazon Rainforest. © 2023 IEEE.

关键词： acoustic features bird call recognition machine learning

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Exploring Machine Learning to Predict Brain Tumour Disease 7

Exploring Machine Learning to Predict Brain Tumour Disease

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Sharma, Sukrati Sunaina Shivahare, Basu Dev Singh, Kirti Singh, Prabhishek Bibhu, Vimal Just Dial Karnataka Bangalore India Amity University Department of Mathematics Uttar Pradesh Greater Noida India Galgotias University School of computer science & Engineering Uttar Pradesh Greater Noida India Bennett University School of computing science & Engineering Uttar Pradesh Greater Noida India Noida International University School of Engineering & Technology Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

the demand of AI is increasing day by day in the medical field. Machine Learning (ML) is subset of AI. ML has become popular tool and widely used to detect several medical diseases at higher accuracy. Promising accuracy of ML algorithms depend on training of digital images like CT, MRI, X-rays etc. In this paper, CNN model is proposed to classify brain tumour into malignant and non-malignant class and comparative study using diverse ML algorithm is conducted and their accuracy is compared. this paper explores role of ML in clinical diagnosis, accurate prediction and clinical analysis regarding brain tumour disease based on various brain tumour dataset like figshare, brats, Kaggle. Proposed CNN model has achieved 98% promising accuracy. © 2024 IEEE.

关键词： Computerized tomography

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7th international conference on Life System Modeling and Simulation, LSMS 2021, and the 7th international conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2021

7th International Conference on Life System Modeling and Sim...

引用

7th international conference on Life System Modeling and Simulation, LSMS 2021, and the 7th international conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2021

ISBN: (纸本)9789811672125

the proceedings contain 159 papers. the special focus in this conference is on Life System Modeling and Simulation. the topics include: Housing Assignment Optimization of Warehouse Breeding;Automobile Rim Weld Detection Using the Improved YOLO Algorithm;A Novel Algorithm YOLOv4-Mini to Detection Automobile Rim Weld;detection Method of Automobile Rim Weld Based on Machine Vision;event-Triggered Output Feedback Predictive Control of Networked Control systems Against Denial-of-Service Attacks;Compression of YOLOv3-spp Model Based on Channel and Layer Pruning;A Chinese Dish Detector with Modified YOLO v3;UJN-Traffic: A Benchmark Dataset for Performance Evaluation of Traffic Element Classification;online Adaptive Strategy for Traffic-Light Timing Based on Congestion Pressure;Object Detection of Basketball Robot Based on MobileNet-SSD;UJN-Land: A Large-Scale High-Resolution Parcel of Land of Multi-temporal Dataset with CNN Based Semantic Segmentation Analysis;an End-to-End Feature-Complementing Method for Building Classification with Residual Network;optimal-Performance-Supervised Vibration Control for Nonlinear Discrete-Time System with Delayed Input Under Sinusoidal Disturbance;A Novel PID Control for MIMO systems in the DPLS Framework with Gaussian Process Model;an Enhanced Discrete Human Learning Optimization for Permutation Flow Shop Scheduling Problem;key Technology for Service Sharing Platform Based on Big Data;A Novel YOLO Based Safety Helmet Detection in Intelligent Construction Platform;hierarchical Finite-Horizon Optimal Control for Stackelberg Games via Integral Reinforcement Learning;Activity Recognition through Micro-Doppler Image Based on Improved Faster R-CNN;prediction of Landslide Risk Based on Modified Generalized Regression Neural Network Algorithm;Detection of Overlapping and Small-Scale Targets in Indoor Environment Based on Improved Faster-RCNN.

关键词： Neural networks

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18th IFIP WG 10.3 international conference on Network and Parallel computing, NPC 2021

18th IFIP WG 10.3 International Conference on Network and Pa...

引用

18th IFIP WG 10.3 international conference on Network and Parallel computing, NPC 2021

ISBN: (纸本)9783030935702

the proceedings contain 20 papers. the special focus in this conference is on Network and Parallel computing. the topics include: A Novel Task-Allocation Framework Based on Decision-Tree Classification Algorithm in MEC;qoS-Aware Scheduling for Cellular Networks Using Deep Reinforcement Learning;preface;High Resolution of City-Level Climate Simulation by GPU with Multi-physical Phenomena;Adaptive Buffering Scheme for PCM/DRAM-Based Hybrid Memory Architecture;efficiency-First Fault-Tolerant Replica Scheduling Strategy for Reliability Constrained Cloud Application;Towards an Optimized Containerization of HPC Job Schedulers Based on Namespaces;architecture of an On-Time Data Transfer Framework in Cooperation with Scheduler System;data Delta Based Hybrid Writes for Erasure-Coded Storage systems;BDCuckoo: an Efficient Cuckoo Hash for Block Device;A Two Tier Hybrid Metadata Management Mechanism for NVM Storage System;A Novel CFLRU-Based Cache Management Approach for NAND-Based SSDs;taming Congestion and Latency in Low-Diameter High-Performance Datacenters;evaluation of Topology-Aware All-Reduce Algorithm for Dragonfly Networks;dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies;MPICC: Multi-Path INT-Based Congestion Control in Datacenter Networks;vSketchDLC: A Sketch on Distributed Deep Learning Communication via Fine-grained Tracing Visualization;Scalable algorithms Using Sparse Storage for Parallel Spectral Clustering on GPU.

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ICCDE 2021 - 2021 7th international conference on computing and Data Engineering

ICCDE 2021 - 2021 7th International Conference on Computing ...

引用

7th international conference on computing and Data Engineering, ICCDE 2021

ISBN: (纸本)9781450388450

the proceedings contain 17 papers. the topics discussed include: an improved random walk algorithm for resource scheduling in cloud datacenter;optimization techniques in data management: a survey;hybrid feature tweaking: combining random forest similarity tweaking with CLPFD;graph-AutoFS: auto feature selection in graph neural;experiment and performance analysis for streaming data on multicore platform;strategies for heterogeneous multi-core processing based on graph programming;Facebook customer engagement graph analysis using K-core, M-core and Km-core methods;attribute network alignment based on network embedding;and monitoring and controlling electrical appliances through rule engine in the smart office.

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proceedings of 2021 7th international conference of the Immersive Learning Research Network, iLRN 2021

Proceedings of 2021 7th International Conference of the Imme...

引用

7th international conference of the Immersive Learning Research Network, iLRN 2021

ISBN: (纸本)9781734899528

the proceedings contain 97 papers. the topics discussed include: doctoral colloquium-pandemic pirouettes: AR ballet exploring data ethics for the computing classroom;work-in-progress-using immersive virtual reality in field service telecom engineers training;work-in-progress-design and evaluation of 360 VR immersive interactions in nursing education;work-in-progress-motivation in virtual reality Chinese language learning in the context of COVID-19;METAL: explorations into sharing 3D educational content across augmented reality headsets and light field displays;supporting teachers' SRL beliefs and practices with immersive learning environments: evidence from a unique simulations-based program;work-in-progress-development of immersive nursing skills learning system and evaluation of learning effectiveness;and work-in-progress-Mathstation - a grade school math supplement serious game.

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15th international conference on Soft computing and Pattern Recognition, SoCPaR 2023 and 14th World Congress on Nature and Biologically Inspired computing, NaBIC 2023

15th International Conference on Soft Computing and Pattern ...

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15th international conference on Soft computing and Pattern Recognition, SoCPaR 2023 and 14th World Congress on Nature and Biologically Inspired computing, NaBIC 2023

ISBN: (纸本)9783031810824

the proceedings contain 57 papers. the special focus in this conference is on Soft computing and Pattern Recognition. the topics include: A Robust Key Exchange Scheme for the Internet of Medical things;breast Cancer Diagnosis Using Elephant Herding Optimization and Sparse Autoencoder through Gene Expression Analysis;oral Squamous Cell Carcinoma Diagnosis Using Spotted Hyena Optimizer Combined with Transfer Learning Approaches;enhancing Ophthalmologic Infrastructure: Seamless Integration of Deep Convolutional Neural Networks for Real-Time Ocular Disease Detection;Deep Learning Approach for Arrhythmia Detection Using STFT-Based Spectrogram;An Effective Deep Learning Technique for Analyzing COVID - 19 Using X-Ray Images;identification of Brain Tumor Using Segmentation and Classification Techniques: A Systematic Review;Advancing Healthcare Decision Support: Leveraging Fuzzy DEMATEL for Delivering Quality Care;An Empirical Analysis of AI Based Learning Methods in Identification of Cognitive Decline in Neurodegenerative Disorders;Machine Learning for Enhanced Diabetes Prediction: A SMOTE-Based Comparative Study;myopia Segmentation Using Hybrid Neural Encoder Decoder Based Unet Inception;skin Lesion Extraction Using Particle Swarm Optimization;PulmoSage Insight: An Integrated Deep Learning and Support Vector Machine (SVM) Framework for Precise Lung Cancer Histopathological Image Classification and Prognosis;COVID-19 Detection Using Convolutional Neural Networks and Ensemble Approaches – A Review;A Comparative Analysis of YOLOv8 and YOLO-NAS for Identifying Fetal Intracranial Structures in Pregnancy;brain Tumor Detection: A Review on Pre-deep Learning and Deep Learning Era;blockchain Based Smart IoT Sensitive Data Hashing for Healthcare Environment Security;gender Detection Using Machine Learning;wristband for Monitoring the Safety of Elderly People Using IoT and Deep Learning algorithms: A Review.

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15th international conference on Soft computing and Pattern Recognition, SoCPaR 2023 and 14th World Congress on Nature and Biologically Inspired computing, NaBIC 2023