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

Authors: Gunasekaran Raja, Abhishek Manoharan, Harun Siljak

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

Subject Terms: 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

Authors: Muhammad Wahab Hanif, Zhenhua Yu, Rehmat Bashir, Zhanli Li, Sardar Annes Farooq, Muhammad Usman Sana

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

Subject Terms: 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

Access URL: https://doaj.org/article/94b4ff327d014ef38eee3ccddb1c459a

Visual-based vehicle detection with adaptive oversampling

Authors: Chin Hong Lim, Tee Connie, Thian Song Ong, Michael Kah Ong Goh

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

Subject Terms: 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

File Description: text

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

Authors: R Islam, Al Imran, Md. Fazle Rabbi

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

Subject Terms: 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

Access URL: 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

Authors: Anais Boumendil, Walid Bechkit, Karima Benatchba

Contributors: boumendil, anais

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

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: Kemal Hacıefendioğlu, Nehir Varol, Vedat Toğan, Ümit Bahadır, Murat Emre Kartal

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

Subject Terms: 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

Authors: Fei Ren, Zhiqiang Zhang, Jiyou Fei, Hongsheng Li, Bonifacio T. Doma

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

Subject Terms: 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

Authors: H. Gezgin, Reha Metin Alkan

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

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: Yongxiang Zhao, Wei Luo, Zhiguo Wang, Guoqing Zhang, Jiandong Liu, Xiaoliang Li, Qi Wang

Source: Measurement + Control, Vol 57 (2024)

Subject Terms: 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

Access URL: 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

Authors: ٍRafef Al-mugern, Siti Hajar Othman, Arafat Al-Dhaqm

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

Subject Terms: 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

Authors: Pham Xuan Tung, Nguyen Luong Thien, Pham Van Bach Ngoc, Minh Hung Vu

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

Subject Terms: 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

Authors: T. Kumaravel, Sathishkumar V E., P. Natesan, Shreyas Dharanesh, G. Hariharan, N. Krishnamoorthy

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

Subject Terms: 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

Authors: Dina Darwish

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

Subject Terms: 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

Authors: Chao Mou, Chengcheng Zhu, Tengfei Liu, Xiaohui Cui

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

Subject Terms: 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

Access URL: https://doaj.org/article/be287d3d722146b590c82d2462dfb857

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

Authors: Thavavel Vaiyapuri, M. Sivakumar, S. Shridevi, S. Velmurugan, Janjhyam Venkata Naga Ramesh, Khasim Syed, Sachi Nandan Mohanty

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

Subject Terms: 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

Access URL: https://doaj.org/article/4e8b756f7b3047fca61fcea1b2869227

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

Authors: Gokul Yenduri, M Ramalingam, Govardanan Chemmalar Selvi, Y Supriya, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Deepti Raj G, Rutvij H. Jhaveri, B. Prabadevi, Weizheng Wang, Athanasios V. Vasilakos, Thippa Reddy Gadekallu

Source: IEEE Access. 12:54608-54649

Subject Terms: 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

Access URL: http://arxiv.org/abs/2305.10435

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

Authors: Xiunan Li, Peng Chen, Jingsong Yang, Wentao An, Gang Zheng, Dan Luo, Aiying Lu, Zimu Wang

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

Subject Terms: 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

Access URL: https://doaj.org/article/4b84af1152364eabbe3aa7c0b21d87c9

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

Authors: Md Mosharraf Hossen, Molla E. Majid, Saad Bin Abul Kashem, Amith Khandakar, Mohammad Nashbat, Azad Ashraf, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Saidul Kabir, Muhammad E. H. Chowdhury

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

Subject Terms: 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

Access URL: https://doaj.org/article/586c1542cd294174856d8614c260d490

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

Authors: Md. Mehedi Hassan, R. Haque, Sheikh Mohammed Shariful Islam, Hossam Meshref, Roobaea Alroobaea, Mehedi Masud, Anupam Kumar Bairagi

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

Subject Terms: 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

Access URL: https://doaj.org/article/88d3b5b205a044a1ae1b51c2b1109f9e

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

Authors: Jutarut Chaoraingern, V. Tipsuwanporn, Arjin Numsomran

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

Subject Terms: 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