temperate
发表于 2025-3-25 05:30:25
Introduction to Cardinal Arithmetices in human lives, the rise of adversarial attempts to manipulate those MLAs and influence their choices is not a surprise. The main goal of this paper is to present recent approaches, models and progresses in AMLs. Additionally, our goal is to focus on AML research trends and challenges.
Ondines-curse
发表于 2025-3-25 10:59:01
https://doi.org/10.1007/978-1-4614-6283-5ibuted clustering, classification, and prediction. Different distributed DM (DDM) techniques, MASs, the advantages of MAS-based DDM, and various MAS-based DDM approaches proposed by researchers are reviewed in this study.
ostrish
发表于 2025-3-25 13:18:11
http://reply.papertrans.cn/19/1857/185648/185648_23.png
Vldl379
发表于 2025-3-25 17:48:50
Adversarial Machine Learning, Research Trends and Applications,es in human lives, the rise of adversarial attempts to manipulate those MLAs and influence their choices is not a surprise. The main goal of this paper is to present recent approaches, models and progresses in AMLs. Additionally, our goal is to focus on AML research trends and challenges.
Armory
发表于 2025-3-25 22:34:06
Multi-agent Systems for Distributed Data Mining Techniques: An Overview,ibuted clustering, classification, and prediction. Different distributed DM (DDM) techniques, MASs, the advantages of MAS-based DDM, and various MAS-based DDM approaches proposed by researchers are reviewed in this study.
含沙射影
发表于 2025-3-26 02:50:18
A Conceptual Analysis of IoT in Healthcare,ossible using Wireless Body Area Network (WBAN). This chapter proposes a machine learning model to discover hidden facts and to predict the future behavior of patients based on current health conditions. Further, a conceptual analysis is presented using a heart disease dataset.
本能
发表于 2025-3-26 08:17:55
http://reply.papertrans.cn/19/1857/185648/185648_27.png
朦胧
发表于 2025-3-26 11:29:47
Identification of Heavenly Bodies,at can prevent false identification of a mimicked walk or leg swing in sitting posture as a real walk activity, using conventional and convolutional deep learning algorithms. The system shows remarkable capability of identifying an actual walk from a mimicked walk activity using CNN 95% of the time.
crumble
发表于 2025-3-26 16:18:09
http://reply.papertrans.cn/19/1857/185648/185648_29.png
欺骗世家
发表于 2025-3-26 18:47:58
A Low-Cost IMU-Based Wearable System for Precise Identification of Walk Activity Using Deep Convoluat can prevent false identification of a mimicked walk or leg swing in sitting posture as a real walk activity, using conventional and convolutional deep learning algorithms. The system shows remarkable capability of identifying an actual walk from a mimicked walk activity using CNN 95% of the time.