Datasets
To validate the effectiveness and robustness of our proposed framework, we conducted extensive experiments on the challenging PoseTrack201731 and PoseTrack201815 benchmarks. These datasets are crucial for basketball action pose estimation…

To validate the effectiveness and robustness of our proposed framework, we conducted extensive experiments on the challenging PoseTrack201731 and PoseTrack201815 benchmarks. These datasets are crucial for basketball action pose estimation…

To evaluate the generative quality and diversity of outputs produced by the proposed GAN-based educational system, we compared our model against four baseline architectures commonly used in image-to-image…

The overall framework adopts the Seq to Seq structure, the encoder and decoder are three-layer CNN and Transpose CNN, respectively, and GroupNorm and LeakyReLU are used uniformly after each convolution.We uniformly use Adam as the optimizer,…

During the ISLES’22 challenge (May-August 2022), a total of 476 participants registered, and 325 dataset downloads were recorded by the closing date. Twenty teams…

The study setup is available to play at https://hac-experiment.mpi-sws.org/?PROLIFIC_PID=test&STUDY_ID=test&SESSION_ID=test&LEVEL=B&GAME_BATCH=0. The study reported in this article was approved by the institutional review board of ETH Zurich…

Optimization is widely regarded as the most efficient method for determining the best solution to various real-world problems in complex domains. All scientific fields face the constant challenge of optimization, and hundreds of Metaheuristic…

Accurate forecasting of the future burden of diabetes requires addressing the complex temporal dependencies in time-series data. These dependencies emerge from interactions among factors such as prevalence, mortality rates, and…

The following section reviews recent and relevant works on intrusion detection in SDN using deep learning approaches, highlighting their methodologies, datasets, performance, and limitations. This review provides a foundation for the proposed…

This paper develops an EBSDC-AIFFT model. This paper aims to create an enhanced brain stroke detection system for individuals with disabilities, utilizing biomedical images to improve diagnostic accuracy. To achieve this, the EBSDC-AIFFT model…

Under dynamic lighting conditions and varying material surface properties, the NEU-DET dataset exhibits significant intra-class morphological differences and inter-class texture similarities, presenting…