AIMLR

Publications

2023

Zhihao Xu, Cong Li, Yan Li
Channel Estimation for IRS-Aided Single-User MIMO Systems Based on Core Tensor. AIMLR (2023)
Zhaokui Li, Xu Huo, Yan Wang, Zihui Jiang, Ke Bi, Fengyuan Yang
Dual Confident Learning-based Network for Hyperspectral Image Classification with Noisy Labels. AIMLR (2023)
Zhaokui Li, Fengyuan Yang, Yan Wang, Zihui Jiang, Ke Wang, Xu Huo
Pixel Attention Feature Pyramid Network for Few-Shot Object Detection in Remote Sensing Images. AIMLR (2023)
Qi Zhou, Hang Yang, Chuangeng Tian, Yu Hui, Lu Tang
Dual-stream Assisted U-Net for Thyroid Nodule Segmentation. AIMLR (2023)
Xiaonan Xu, Shuanping Du, Yanyan An
Bayesian Multi-Target Tracking on Spatial Spectrum. AIMLR (2023)
Bashar Igried, Mohammad Alauthman, Mohammad Al Khaldy, Ayoub Alsarhan
Efficient Scanning Activity Detection in IoT Networks Using Ensemble Learning. AIMLR (2023)
Yingcong Huang, Qingyu Mao, Jiacong Chen, Yuqing Zhao, Fanyang Meng, Yongsheng Liang
Frequency Domain Based Optimization for Image Demoireing. AIMLR (2023)
Yanzi Li, Huo-Xiang Yang, Qingyu Mao, Fanyang Meng, Yongsheng Liang
MGAM: Mixed-Gaussian Attention Module for Convolutional Neural Networks. AIMLR (2023)
Bingyu Li, Xin Wang, Shengjie Zhang, Lihua Fu
An Enhanced Moth-Flame Optimization Algorithm for UAVs 3D Path Planning. AIMLR (2023)
Orapadee Joochim, Pongkorn Aumthuk, Suriya Natsupakpong
Automated Greenhouse for Plant Phenotyping Using the Image Processing Method. AIMLR (2023)
Zhiwei Ma, Ying Dong
Dynamic Attention-Based Click-Through Rate Prediction Model. AIMLR (2023)
Warisa Sritriratanarak, Paulo Garcia
Intelligent Autonomous Robots: Cooperative Sharing for Energy Management in Industrial IoT. AIMLR (2023)
Prakhar Rai, Shiv Gehlot, Ritu Gupta, Anubha Gupta
Lidacs: a Lightweight Domain adaptive cell Segmentation Framework. AIMLR (2023)
Asia Conference on Artificial Intelligence, Machine Learning and Robotics, AIMLR 2023, Bangkok, Thailand, September 15-17, 2023 AIMLR (2023)
Huizhou Liu, Weihao Jiang, Junjie Huang
Adaptive Speech Recognition via Dual-Level Sequential Pseudo Labels. AIMLR (2023)
Poramet Fuangpanichjaroen, Narongsak Tirasuntarakul, Orapadee Joochim
Development of a Learning Simulation Framework for Modular Robot Manipulator. AIMLR (2023)
Ayoub Alsarhan, Bashar Igried, Raad Mohammad Bani Saleem, Mohammad Alauthman, Mohammad Aljaidi
Enhancing Phishing URL Detection: A Comparative Study of Machine Learning Algorithms. AIMLR (2023)
Tuo Yang, Kaizhi Chen, Shangping Zhong
Deepfake Detection Using Fusion Channel Information in a Multi-attentional Model. AIMLR (2023)
Cheng-Yuan Ho, Yong-Sheng Yang
Mask Defect Detection: A Journey through Real-World Applications of CNN-based Models. AIMLR (2023)
Yoel Tenne
Path-extrapolation in Evolutionary Algorithms. AIMLR (2023)
Muhammad Asim Mukhtar Bhatti, Muhammad Awais, Aamna Iqtidar
Machine Learning based Intrusion Detection System for IoT Applications using Explainable AI. AIMLR (2023)
Yuqi Zhang, Xiangyang Li, Qingcai Luo, Yang Wang, Yanzhao Shen
Practical and Efficient Secure Aggregation for Privacy-Preserving Machine Learning. AIMLR (2023)