Abstract: Intrusion detection in Internet of Things (IoT) networks relies heavily on publicly available datasets. Nowadays many intrusion datasets are being generated using emulation-based approaches.

aDepartment of Radiodiagnosis, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India bDepartment of Clinical Hematology and Medical Oncology, Postgraduate Institute of ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

Abstract: In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing ...

Small-scale inland aquaculture has considerable potential to generate socioeconomic benefits in low- and middle-income countries. Hundreds of millions of people globally rely on inland aquaculture, ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

The comparison of model outputs with ground-measured data from reference stations ensures the accuracy of solar models and reduces uncertainty across all climates. Image: Solargis. When selecting ...

>>> from audio_data_pytorch import YoutubeDataset Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/home01/mm19bh2/.conda/envs/ad/lib ...