Asseverate
发表于 2025-3-25 04:13:59
http://reply.papertrans.cn/24/2335/233474/233474_21.png
accessory
发表于 2025-3-25 07:56:39
http://reply.papertrans.cn/24/2335/233474/233474_22.png
冒失
发表于 2025-3-25 14:47:47
http://reply.papertrans.cn/24/2335/233474/233474_23.png
Resection
发表于 2025-3-25 17:20:59
http://reply.papertrans.cn/24/2335/233474/233474_24.png
HOWL
发表于 2025-3-25 23:26:34
S. I. Sukhoruchkin,Z. N. Sorokorous types of equipment. Nonetheless, two major obstacles still obstruct its deployment to real-world applications. The first issue is that they rarely take the entire pipeline’s speed into account. The second is that they are incapable of dealing with some low-quality images (i.e., meter breakage,
确保
发表于 2025-3-26 00:50:57
S. I. Sukhoruchkin,Z. N. Sorokok (WBAN), which is facing energy scarcity problems. However, it is unable to differentiate data priorities during operation and cannot be adaptively adjusted according to the state of the nodes. Therefore, this paper proposes an alternative combination of priority-based channel access and adaptive b
谷物
发表于 2025-3-26 05:03:32
http://reply.papertrans.cn/24/2335/233474/233474_27.png
Offset
发表于 2025-3-26 11:36:49
Efficient Medical Image Data Management Based on a Lightweight Sharding Blockchainnds. Blockchain technology is proposed to solve the problem of medical images’ information islands due to its decentralization, transparency, openness, autonomy, anonymity, and information tampering. However, each node needs to maintain the complete blockchain, and with the amount of medical image d
歹徒
发表于 2025-3-26 13:01:12
http://reply.papertrans.cn/24/2335/233474/233474_29.png
Herbivorous
发表于 2025-3-26 18:30:22
Paint Price Prediction Using a Triplet Network-Multimodal Network-LSTM Combined Deep Learning Approaange pattern of artwork painting prices remains a challenge. We propose a paint price prediction using a triplet network-multimodal network-LSTM combined deep learning approach for dynamically predicting paint prices. By using triplet sets of paintings classified by similar transaction prices, our p