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Publication search results
found 466 matches
- 2024
- Haipeng Liu, Wenhao Zhu, Siyi Fu, Yongjun Lu:
A Trend Detection-Based Auto-Scaling Method for Containers in High-Concurrency Scenarios. IEEE Access 12: 71821-71834 (2024) - Radinal Dwiki Novendra, Wikan Danar Sunindyo:
Emerging Trends in Code Quality: Introducing Kotlin-Specific Bad Smell Detection Tool for Android Apps. IEEE Access 12: 63895-63903 (2024) - Anupam Bonkra, Sunil Pathak, Amandeep Kaur, Mohd Asif Shah:
Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques. Artif. Intell. Rev. 57(2): 21 (2024) - Meihui Zhong, Mingwei Lin, Chao Zhang, Zeshui Xu:
A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges. Comput. Secur. 141: 103821 (2024) - Sachin Gupta, Ashish Kumar Tripathi:
Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities. Eng. Appl. Artif. Intell. 133: 108260 (2024) - Jason Zhu, Arijit Khan, Cuneyt Gurcan Akcora:
Data depth and core-based trend detection on blockchain transaction networks. Frontiers Blockchain 7 (2024) - Helena Liz-López, Mamadou Keita, Abdelmalik Taleb-Ahmed, Abdenour Hadid, Javier Huertas-Tato, David Camacho:
Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges. Inf. Fusion 103: 102103 (2024) - Nordine Quadar, Abdellah Chehri, Benoit Debaque, Imran Ahmed, Gwangil Jeon:
Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities and Future Research Trends. IEEE Internet Things Mag. 7(2): 62-68 (2024) - Hamed Jelodar, Rita Orji, Stan Matwin, Swarna Weerasinghe, Oladapo Oyebode, Yongli Wang:
Correction to: Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques. J. Ambient Intell. Humaniz. Comput. 15(4): 2653 (2024) - Wei Chen, Jinjin Luo, Fan Zhang, Zijian Tian:
A review of object detection: Datasets, performance evaluation, architecture, applications and current trends. Multim. Tools Appl. 83(24): 65603-65661 (2024) - Walid El-Shafai, Mona A. Fouda, El-Sayed M. El-Rabaie, Nariman Abdel-Salam:
A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends. Multim. Tools Appl. 83(2): 4241-4307 (2024) - Ritesh Chandra Tewari, Aurobinda Routray, Jhareswar Maiti:
State-of-the-art radar technology for remote human fall detection: a systematic review of techniques, trends, and challenges. Multim. Tools Appl. 83(29): 73717-73775 (2024) - Jiashan Wan, Na Xia, Yutao Yin, Xulei Pan, Jin Hu, Jun Yi:
TCDformer: A transformer framework for non-stationary time series forecasting based on trend and change-point detection. Neural Networks 173: 106196 (2024) - Qinghua Liu, Paul Boniol, Themis Palpanas, John Paparrizos:
Time-Series Anomaly Detection: Overview and New Trends. Proc. VLDB Endow. 17(12): 4229-4232 (2024) - Hui-Pin Cheng, Tai-Hua Yang, Jhih-Cheng Wang, Han-Sheng Chuang:
Recent Trends and Innovations in Bead-Based Biosensors for Cancer Detection. Sensors 24(9): 2904 (2024) - Yoshiyuki Kobayashi, Sakiko Saito, Tatsuya Murahori:
Classification of Fashion Models' Walking Styles Using Publicly Available Data, Pose Detection Technology, and Multivariate Analysis: From Past to Current Trendy Walking Styles. Sensors 24(12): 3865 (2024) - Hadi Kordestani, Chunwei Zhang, Ali Arab:
An Investigation into the Application of Acceleration Responses' Trendline for Bridge Damage Detection Using Quadratic Regression. Sensors 24(2): 410 (2024) - Saida Hafsa Rafique, Amira Mahamat Abdallah, Nura Shifa Musa, Thangavel Murugan:
Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection - Current Research Trends. Sensors 24(6): 1968 (2024) - Vinay Malligere Shivanna, Jiun-In Guo:
Object Detection, Recognition, and Tracking Algorithms for ADASs - A Study on Recent Trends. Sensors 24(1): 249 (2024) - Hemang Thakar, Brijesh Bhatt:
Fake news detection: recent trends and challenges. Soc. Netw. Anal. Min. 14(1): 176 (2024) - Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu:
Unravel Anomalies: an End-to-End Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection. ICASSP 2024: 5415-5419 - Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing:
Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies. CoRR abs/2402.14353 (2024) - Jihyeon Seong, Sekwang Oh, Jaesik Choi:
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning. CoRR abs/2406.03665 (2024) - Eunwoo Kim, Un Yang, Cheol Lae Roh, Stefano Ermon:
Unsupervised Anomaly Detection Using Diffusion Trend Analysis. CoRR abs/2407.09578 (2024) - 2023
- Nhu Khoa Nguyen:
Emerging Trend Detection in News Articles. (Détection des tendances émergentes dans les articles de presse). University of La Rochelle, France, 2023 - Muhammad Anis Al Hilmi, Alifia Puspaningrum, Darsih, Daniel Oranova Siahaan, Hernawati Susanti Samosir, Amelia Sahira Rahma:
Research Trends, Detection Methods, Practices, and Challenges in Code Smell: SLR. IEEE Access 11: 129536-129551 (2023) - Alaa Rahma, Shahira Shaaban Azab, Ammar Mohammed:
A Comprehensive Survey on Arabic Sarcasm Detection: Approaches, Challenges and Future Trends. IEEE Access 11: 18261-18280 (2023) - Wasswa Shafik, Ali Tufail, Abdallah Namoun, Liyanage Chandratilake De Silva, Rosyzie Anna Awg Haji Mohd Apong:
A Systematic Literature Review on Plant Disease Detection: Motivations, Classification Techniques, Datasets, Challenges, and Future Trends. IEEE Access 11: 59174-59203 (2023) - Shayan Zargari, Azar Hakimi, Fatemeh Rezaei, Chintha Tellambura, Amine Maaref:
Signal Detection in Ambient Backscatter Systems: Fundamentals, Methods, and Trends. IEEE Access 11: 140287-140324 (2023) - U. Raghavendra, Anjan Gudigar, Aritra Paul, T. S. Goutham, Mahesh Anil Inamdar, Ajay Hegde, Aruna Devi, Chui Ping Ooi, Ravinesh C. Deo, Prabal Datta Barua, Filippo Molinari, Edward J. Ciaccio, U. Rajendra Acharya:
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. Comput. Biol. Medicine 163: 107063 (2023)
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