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The Tiny-ImageNet dataset contains 200 categories and approximately 120,000 samples. The CIFAR-10 and CIFAR-100 datasets respectively contain 10 and 100 categories.
All experiments were conducted on a server equipped with two NVIDIA A100 GPUs (each with 80GB memory), running the Ubuntu 20.04 operating system and the CUDA 11.8 computing platform under the Pytorch 1.8 framework. The server has 256GB of memory and is powered by a 64-core Intel(R) Xeon(R) Gold 6326 CPU @ 2.90GHz.
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With the rapid growth of the Bangla music industry huge volume of Bangla songs is produced every day. An immense number of producers, lyricists, singers, and artists are involved in the production of songs from different genres. Among many genres of Bangla music; classical, folk, baul, modern music, Rabindra Sangeet, Nazrul Geeti, film music, rock music, and fusion music have gained the highest popularity. Lyricists try to express their feelings and views towards any situation or subject through their writings.
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In the Dataset, Curriculum Vitae and Indivisual Contributions (Shunji Kawamoto) are shown.
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Ranking units which include multiple inputs and outputs in natural and social systems is a complex problem. DEA cross-efficiency evaluation method is an effective approach widely used in evaluating and ranking the decision making units to tackle this problem. The traditional cross-efficiency model is lack consideration for the relationships among DMUs. For this problem, the paper constructs the relationship matrix among DMUs to reflect the relationships among DMUs based on competitive interval and competitive vision.
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