Výsledky vyhledávání - "Deep Learning in Computer Vision and Image Recognition"

UGEN: UAV and GAN-Aided Ensemble Network for Post-Disaster Survivor Detection Through ORAN

Autoři: Gunasekaran Raja Abhishek Manoharan Harun Siljak

Zdroj: IEEE Transactions on Vehicular Technology. 73:9296-9305

Témata: Artificial intelligence, Search and rescue, Object detection, Robot, Unmanned Aerial Vehicle Communications, Aerospace Engineering, FOS: Mechanical engineering, Latency (audio), Real-time computing, Engineering, Context (archaeology), Segmentation, Synthetic Aperture Radar (SAR) Technology and Applications, Object Detection, Biology, Paleontology, 15. Life on land, Computer science, Computer Science, Physical Sciences, Telecommunications, Deep Learning in Computer Vision and Image Recognition, Computer vision, Computer Vision and Pattern Recognition, UAV Networks, Automatic Target Recognition

A new network model for multiple object detection for autonomous vehicle detection in mining environment

Autoři: Muhammad Wahab Hanif Zhenhua Yu Rehmat Bashir a další

Zdroj: IET Image Processing, Vol 18, Iss 12, Pp 3277-3287 (2024)

Témata: Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Object detection, Economics, Feature (linguistics), 02 engineering and technology, Noise (video), Pattern recognition (psychology), 01 natural sciences, Motion Detection, 7. Clean energy, Real-time computing, Visual Object Tracking and Person Re-identification, Bounding overwatch, QA76.75-76.765, Health Sciences, Object Detection, Photography, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), Computer software, TR1-1050, Data mining, Position (finance), object detection, Linguistics, Applications of Deep Learning in Medical Imaging, Computer science, image processing, 0104 chemical sciences, FOS: Philosophy, ethics and religion, Object Tracking, Philosophy, image recognition, Computer Science, Physical Sciences, Multiple Object Tracking, FOS: Languages and literature, identification, Medicine, Deep Learning in Computer Vision and Image Recognition, Foreground Segmentation, Object (grammar), Computer vision, Computer Vision and Pattern Recognition, Minimum bounding box, Finance

Přístupová URL adresa: https://doaj.org/article/94b4ff327d014ef38eee3ccddb1c459a

Visual-based vehicle detection with adaptive oversampling

Autoři: Chin Hong Lim Tee Connie Thian Song Ong a další

Zdroj: International Journal of Information Technology. 16:4767-4777

Témata: Visual Tracking, Artificial intelligence, FOS: Mechanical engineering, 02 engineering and technology, 7. Clean energy, Bandwidth (computing), Visual Object Tracking and Person Re-identification, Engineering, Object Detection, 0202 electrical engineering, electronic engineering, information engineering, 10. No inequality, Computer graphics (images), 4. Education, Oversampling, 15. Life on land, Computer science, Object Tracking, Computer Science, Physical Sciences, Automotive Engineering, Multiple Object Tracking, Telecommunications, TL1-484 Motor vehicles. Cycles, Deep Learning in Computer Vision and Image Recognition, Computer vision, Computer Vision and Pattern Recognition, Autonomous Vehicle Technology and Safety Systems, Lane Detection

Popis souboru: text

Prostate Cancer Detection from MRI Using Efficient Feature Extraction with Transfer Learning

Autoři: R Islam Al Imran Md. Fazle Rabbi

Zdroj: Prostate Cancer
Prostate Cancer, Vol 2024 (2024)

Témata: Pulmonary and Respiratory Medicine, Artificial intelligence, Deep Learning in Medical Image Analysis, Review Article, 02 engineering and technology, Machine Learning, Transfer of learning, Identification (biology), 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Artificial Intelligence, Health Sciences, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Internal medicine, Biology, RC254-282, Cancer, Prostate cancer, Prostate Cancer, 4. Education, Botany, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Prostate Cancer Research and Treatment, Deep learning, Computer-Aided Detection, 15. Life on land, Computer science, Diseases of the genitourinary system. Urology, 3. Good health, Computer Science, Physical Sciences, Cancer Prognosis, Medicine, Deep Learning in Computer Vision and Image Recognition, RC870-923, Computer Vision and Pattern Recognition, Classifier (UML), Random forest

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38783970
https://doaj.org/article/9f6c61fc54a5481ea4080346ac32c12b

On data selection for the energy efficiency of neural networks: Towards a new solution based on a dynamic selectivity ratio

Autoři: Anais Boumendil Walid Bechkit Karima Benatchba a další

Přispěvatelé: Anais Boumendil Walid Bechkit Karima Benatchba a další

Zdroj: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI). :325-332

Témata: Backpropagation Learning, Artificial neural network, Artificial intelligence, Economics, Epistemology, [INFO] Computer Science [cs], 7. Clean energy, Learning with Noisy Labels in Machine Learning, Selection (genetic algorithm), Engineering, Artificial Intelligence, Machine learning, 11. Sustainability, FOS: Mathematics, Neural Network Architectures, Efficient energy use, energy efficiency, Economic growth, Statistics, random data selection, Instance Selection, Neural Network Fundamentals and Applications, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Operating system, Schedule, dynamic selectivity ratio, Electrical engineering, Computer Science, Physical Sciences, Convergence (economics), Quality (philosophy), Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Energy (signal processing), Neural networks, Mathematics, Robust Learning

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-04282114v1/document
https://hal.science/hal-04282114v1
https://doi.org/10.1109/ictai59109.2023.00054

Automatic landslide detection and visualization by using deep ensemble learning method

Autoři: Kemal Hacıefendioğlu Nehir Varol Vedat Toğan a další

Zdroj: Neural Computing and Applications. 36:10761-10776

Témata: Artificial intelligence, 0211 other engineering and technologies, 02 engineering and technology, Management, Monitoring, Policy and Law, Pattern recognition (psychology), Anomaly Detection in High-Dimensional Data, Computational Science and Engineering, Artificial Intelligence, Ensemble learning, Machine learning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, Landslide Hazards and Risk Assessment, Seismology, Visualization, 4. Education, Deep learning, Geology, FOS: Earth and related environmental sciences, 15. Life on land, Computer science, Landslide, 13. Climate action, Environmental Science, Physical Sciences, Computer Science, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition

Advancements in Steel Surface Defect Detection: An Enhanced YOLOv5 Algorithm with EfficientNet Integration

Autoři: Fei Ren Zhiqiang Zhang Jiyou Fei a další

Zdroj: International Journal of Electrical and Electronics Research. 12:268-275

Témata: 0209 industrial biotechnology, Geometry, 02 engineering and technology, Fabric Defect Detection in Industrial Applications, Robust Line and Curve Detection using Hough Transform, Computer science, 7. Clean energy, Industrial and Manufacturing Engineering, Algorithm, Engineering, Physical Sciences, Computer Science, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Surface (topology), Mathematics

DETECTION AND RECOGNITION OF TRAFFIC SIGNS FROM DATA COLLECTED BY THE MOBILE MAPPING SYSTEM

Autoři: H. Gezgin Reha Metin Alkan

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 183-188 (2024)

Témata: Cartography, Technology, Artificial intelligence, 0211 other engineering and technologies, FOS: Mechanical engineering, Mobile mapping, 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, 01 natural sciences, Intelligent Transportation Systems, Automatic License Plate Recognition System, Engineering, Accident Detection, 11. Sustainability, Media Technology, Applied optics. Photonics, 0105 earth and related environmental sciences, Smart Vehicle Safety and Monitoring Systems, Geography, Real-Time Recognition, Mechanical Engineering, Vehicle Identification, 15. Life on land, Engineering (General). Civil engineering (General), Computer science, TA1501-1820, Point cloud, Physical Sciences, Computer Science, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, TA1-2040, Automatic License Plate Recognition

Popis souboru: application/pdf

Přístupová URL adresa: https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/183/2024/
https://doaj.org/article/c0e6723aa8294d9ebceed01568d51076

An oil and gas pipeline inspection UAV based on improved YOLOv7

Autoři: Yongxiang Zhao Wei Luo Zhiguo Wang a další

Zdroj: Measurement + Control, Vol 57 (2024)

Témata: 0209 industrial biotechnology, Visual Odometry, Marine engineering, Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, Simultaneous Localization and Mapping, 7. Clean energy, Environmental science, Engineering, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, T1-995, Petroleum engineering, Electrical and Electronic Engineering, Technology (General), Control engineering systems. Automatic machinery (General), Computer science, Forensic engineering, Optoelectronic Systems for Measurement and Detection, Detection, Operating system, TJ212-225, Computer Science, Physical Sciences, Deep Learning in Computer Vision and Image Recognition, Pipeline (software), Computer Vision and Pattern Recognition

Přístupová URL adresa: https://doaj.org/article/041d217dcd454a75a5e75b9b94b5e134

An Improved Machine Learning Method by applying Cloud Forensic Meta-Model to Enhance the Data Collection Process in Cloud Environments

Autoři: ٍRafef Al-mugern Siti Hajar Othman Arafat Al-Dhaqm

Zdroj: Engineering, Technology & Applied Science Research. 14:13017-13025

Témata: FOS: Computer and information sciences, Artificial intelligence, Statistics, Automated Currency Recognition and Authentication, 02 engineering and technology, Cloud Computing, Computer science, Process (computing), Data science, Operating system, Computer Science, Physical Sciences, Machine learning, Data collection, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, Comprehensive Survey of Big Data Mining Approaches, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Data mining, Mathematics, Information Systems

Research and Development of a Traffic Sign Recognition Module in Vietnam

Autoři: Pham Xuan Tung Nguyen Luong Thien Pham Van Bach Ngoc a další

Zdroj: Engineering, Technology & Applied Science Research. 14:12740-12744

Témata: Artificial intelligence, FOS: Mechanical engineering, 01 natural sciences, Mathematical analysis, Automatic License Plate Recognition System, Engineering, 11. Sustainability, Media Technology, FOS: Mathematics, 0101 mathematics, Real-Time Recognition, 9. Industry and infrastructure, Vehicle Identification, 15. Life on land, Computer science, 0104 chemical sciences, Sign (mathematics), Computer Science, Physical Sciences, Automotive Engineering, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Autonomous Vehicle Technology and Safety Systems, Lane Detection, Automatic License Plate Recognition, Mathematics

Indian traffic sign detection and recognition using deep learning

Autoři: T. Kumaravel Sathishkumar V E. P. Natesan a další

Zdroj: Applied and Computational Engineering. 30:12-17

Témata: Traffic sign recognition, Artificial intelligence, Automated Pavement Inspection and Maintenance, Speech recognition, Pattern recognition (psychology), Mathematical analysis, 7. Clean energy, Intelligent Transportation Systems, 12. Responsible consumption, Automatic License Plate Recognition System, Engineering, 11. Sustainability, Media Technology, FOS: Mathematics, Civil and Structural Engineering, Real-Time Recognition, 9. Industry and infrastructure, Vehicle Identification, Deep learning, 15. Life on land, 16. Peace & justice, Computer science, Traffic sign, Sign (mathematics), Physical Sciences, Computer Science, 8. Economic growth, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Mathematics

Improving Techniques for Convolutional Neural Networks Performance

Autoři: Dina Darwish

Zdroj: European Journal of Electrical Engineering and Computer Science. 8:1-16

Témata: Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Novelty Detection, Convolutional neural network, 02 engineering and technology, Transfer Learning, Applications of Deep Learning in Medical Imaging, Computer science, 7. Clean energy, Anomaly Detection in High-Dimensional Data, 03 medical and health sciences, 0302 clinical medicine, Deep Learning, Artificial Intelligence, Health Sciences, Computer Science, Physical Sciences, Object Detection, 0202 electrical engineering, electronic engineering, information engineering, Medicine, Neural Network Architectures, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition

A novel efficient wildlife detecting method with lightweight deployment on UAVs based on YOLOv7

Autoři: Chao Mou Chengcheng Zhu Tengfei Liu a další

Zdroj: IET Image Processing, Vol 18, Iss 5, Pp 1296-1314 (2024)

Témata: 0106 biological sciences, Visual Odometry, Artificial intelligence, Object detection, Unmanned Aerial Vehicle Communications, Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, Simultaneous Localization and Mapping, sensors, Pattern recognition (psychology), 01 natural sciences, Real-time computing, remote sensing, QA76.75-76.765, Engineering, Field (mathematics), Object Detection, Photography, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Software deployment, Computer software, 14. Life underwater, Drone Applications, TR1-1050, real‐time systems, Intrusion detection system, Pure mathematics, object detection, 15. Life on land, Computer science, Operating system, Computer Science, Physical Sciences, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Mathematics, image classification

Přístupová URL adresa: https://doaj.org/article/be287d3d722146b590c82d2462dfb857

An intelligent water drop algorithm with deep learning driven vehicle detection and classification

Autoři: Thavavel Vaiyapuri M. Sivakumar S. Shridevi a další

Zdroj: AIMS Mathematics, Vol 9, Iss 5, Pp 11352-11371 (2024)

Témata: Artificial intelligence, 0208 environmental biotechnology, 0207 environmental engineering, FOS: Mechanical engineering, 02 engineering and technology, Driver Assistance Systems, Intelligent Transportation Systems, Engineering, Drop (telecommunication), Object Detection, Machine learning, 11. Sustainability, unmanned aerial vehicle, QA1-939, Image Recognition, water drop algorithm, Deep learning, Traffic Flow Prediction and Forecasting, Building and Construction, 15. Life on land, Computer science, Algorithm, 13. Climate action, Computer Science, Physical Sciences, Automotive Engineering, Telecommunications, vehicle detection, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Autonomous Vehicle Technology and Safety Systems, remote sensing images, Lane Detection, Mathematics, yolo-v7

Přístupová URL adresa: https://doaj.org/article/4e8b756f7b3047fca61fcea1b2869227

GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Autoři: Gokul Yenduri M Ramalingam Govardanan Chemmalar Selvi a další

Zdroj: IEEE Access. 12:54608-54649

Témata: FOS: Computer and information sciences, Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Computer Science - Artificial Intelligence, Generative grammar, Health Informatics, Visual arts, Engineering, Health Sciences, Architecture, Risk analysis (engineering), Artificial Intelligence in Medicine, Transformer, Computer Science - Computation and Language, 9. Industry and infrastructure, Voltage, Transfer Learning, Applications of Deep Learning in Medical Imaging, Natural language understanding, Computer science, Artificial Intelligence (cs.AI), Emerging technologies, Natural language, Electrical engineering, Computer Science, Physical Sciences, Medicine, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Computation and Language (cs.CL), FOS: Civil engineering, Art

Přístupová URL adresa: http://arxiv.org/abs/2305.10435

TKP-Net: A Three Keypoint Detection Network for Ships Using SAR Imagery

Autoři: Xiunan Li Peng Chen Jingsong Yang a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 364-376 (2024)

Témata: Artificial intelligence, Observability, ship detection, Feature (linguistics), Convolutional neural network (CNN), Geophysics. Cosmic physics, Aerospace Engineering, FOS: Mechanical engineering, Synthetic aperture radar, Convolutional neural network, Oceanography, Engineering, SAR Interferometry, Synthetic Aperture Radar (SAR) Technology and Applications, FOS: Mathematics, 14. Life underwater, TC1501-1800, Radar, QC801-809, Synthetic Aperture Radar Interferometry, keypoint, Geology, Linguistics, FOS: Earth and related environmental sciences, synthetic aperture radar (SAR), Remote sensing, Applied mathematics, Surface Deformation Monitoring, Computer science, Inverse synthetic aperture radar, FOS: Philosophy, ethics and religion, Ocean engineering, Radar imaging, Philosophy, Computer Science, Physical Sciences, Telecommunications, FOS: Languages and literature, Feature extraction, ship head classification, Deep Learning in Computer Vision and Image Recognition, Computer vision, Computer Vision and Pattern Recognition, Underwater, Mathematics

Přístupová URL adresa: https://doaj.org/article/4b84af1152364eabbe3aa7c0b21d87c9

A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification

Autoři: Md Mosharraf Hossen Molla E. Majid Saad Bin Abul Kashem a další

Zdroj: IEEE Access, Vol 12, Pp 13809-13821 (2024)

Témata: Artificial intelligence, Solid Waste Management, recycling, Industrial and Manufacturing Engineering, 12. Responsible consumption, Engineering, Deep Learning, Waste Management, Object Detection, Machine learning, 11. Sustainability, Media Technology, Image (mathematics), Recycling, Waste management, waste classification, multi-label classification, convolutional neural network (CNN), Sorting, Change Detection, deep learning, Deep learning, 15. Life on land, Hyperspectral Image Analysis and Classification, Computer science, Contextual image classification, 6. Clean water, TK1-9971, Programming language, Computer Science, Physical Sciences, Environmental Science, Deep Learning in Computer Vision and Image Recognition, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition

Přístupová URL adresa: https://doaj.org/article/586c1542cd294174856d8614c260d490

NeuroWave-Net: Enhancing epileptic seizure detection from EEG brain signals via advanced convolutional and long short-term memory networks

Autoři: Md. Mehedi Hassan R. Haque Sheikh Mohammed Shariful Islam a další

Zdroj: AIMS Bioengineering, Vol 11, Iss 1, Pp 85-109 (2024)

Témata: Artificial intelligence, Feature (linguistics), Classification of Brain Tumor Type and Grade, 02 engineering and technology, Pattern recognition (psychology), 01 natural sciences, Epilepsy Detection, EEG Analysis, Computer security, convolutional neural networks, Psychology, Life Sciences, Electroencephalography, Brain-Computer Interfaces in Neuroscience and Medicine, Long short term memory, FOS: Philosophy, ethics and religion, FOS: Psychology, epileptic seizure detection, Neurology, Physical Sciences, TP155-156, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, eeg, long short-term memory, 0210 nano-technology, Biotechnology, Artificial neural network, Cognitive Neuroscience, Recurrent neural network, Convolutional neural network, neurowave-net, Chemical engineering, brain signal preprocessing, Machine learning, Medical technology, Neural Network Architectures, Deep Learning for EEG, R855-855.5, Key (lock), Deep learning, Linguistics, Computer science, 0104 chemical sciences, Philosophy, Neural Ensemble Physiology, Categorization, Computer Science, Epileptic seizure, FOS: Languages and literature, lstm-cnn, TP248.13-248.65, Neuroscience

Přístupová URL adresa: https://doaj.org/article/88d3b5b205a044a1ae1b51c2b1109f9e

Artificial Intelligence for the Classification of Plastic Waste Utilizing TinyML on Low-Cost Embedded Systems

Autoři: Jutarut Chaoraingern V. Tipsuwanporn Arjin Numsomran

Zdroj: International Journal on Advanced Science, Engineering and Information Technology. 13:2328-2337

Témata: Image Recognition, 2. Zero hunger, Artificial intelligence, Bottle, FOS: Mechanical engineering, Convolutional neural network, Computer science, 7. Clean energy, Mechanical engineering, 6. Clean water, 12. Responsible consumption, Engineering, Plastic waste, Environmental Science, Physical Sciences, Computer Science, 11. Sustainability, Real-time Water Quality Monitoring and Aquaculture Management, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Plastic bottle, Model Compression, Waste management, Water Science and Technology