Interregnum 发表于 2025-3-26 21:04:58
on and prevent the unauthorized access by inner and outer adversaries. Hence, this paper presents a challenge-response hybrid-based protocol for data integrity verification (DIV) and Proof of Ownership (PoW) to protect the data from unauthorized users and prevent the data from unauthorized access. T裙带关系 发表于 2025-3-27 01:34:22
http://reply.papertrans.cn/59/5843/584264/584264_32.png使困惑 发表于 2025-3-27 08:44:56
http://reply.papertrans.cn/59/5843/584264/584264_33.png树胶 发表于 2025-3-27 13:13:45
ically, the algorithm achieved a precision of 0.67 and a recall of 0.51 which represents a significant improvement compared to the baseline methods. In this case, reinforcement learning in the recommendation system is found to be more effective in improving the recommendations with an increase in reHeart-Rate 发表于 2025-3-27 15:21:57
http://reply.papertrans.cn/59/5843/584264/584264_35.png唠叨 发表于 2025-3-27 20:15:55
ve tweaked into the XGBoost produced the optimum outcomes, with an R. coefficient of 0.86 and an RMSE of 736.27. The decision-makers could process and dispose of solid waste more effectively by using the predicted MSW weight. The findings show that a hypertuned XGBoost regressor is the best model, oCONE 发表于 2025-3-28 01:43:32
http://reply.papertrans.cn/59/5843/584264/584264_37.pnggentle 发表于 2025-3-28 03:37:36
Our technique is robust and at present can transfer five bits of covert data per IPv6 packet. This bandwidth can further be increased to few more bits, by increasing the number of extension headers attached to an IPv6 packet up to the permissible limit.opprobrious 发表于 2025-3-28 08:23:20
on frame by frame using the camera on the device, undergoes pre-processing of the images on the edge device and performs classification on our trained region convolutional neural network (R-.. After Image Recognition is successfully performed, the key features of the surroundings are read out into tMemorial 发表于 2025-3-28 11:48:12
verless services. For the purposes of refactoring, we use web access log data of monolith application. Our proposed architecture model is based on unsupervised learning algorithm and aims to optimize the resource utilization and throughput of an application by identifying the modules having differen