无表情
发表于 2025-3-28 18:28:43
http://reply.papertrans.cn/48/4701/470073/470073_41.png
debacle
发表于 2025-3-28 20:29:11
Anand J. Kulkarni,Naoufel CheikhrouhouComprises peer-reviewed proceedings of the conference ICISA 2023.Covers the latest research in technological advances in the field of artificial intelligence and machine learning.Enriches understandin
Corporeal
发表于 2025-3-29 02:33:11
http://reply.papertrans.cn/48/4701/470073/470073_43.png
得罪
发表于 2025-3-29 04:29:24
https://doi.org/10.1007/978-981-99-6984-5Smart Cities; Banking and Finance; Social-Media, Cyber security & Crime Prevention; Infrastructure; Heal
窒息
发表于 2025-3-29 09:06:11
Manifesta: An Event Management Platform Using Recommendation System way by using an online platform. A new event-driven platform for smart cities is proposed in this paper for simplifying event management services. This paper proposes an intelligent website named “Manifesta” for event management services that would enable an intelligent environment for event manage
noxious
发表于 2025-3-29 13:40:39
An Empirical Study on the Information Security Threats Due to Remote Working Environmentsurity issues. Insecure human internet use habits (unprotected home networks, unpatched software), organizational policies regarding cyber security during remote work, insecure teleconferencing and video conferencing practices and sophisticated cyber-attack techniques are a few of the reasons respons
dearth
发表于 2025-3-29 17:29:51
Intelligent Surveillance Tower for Detection of the Drone from the Other Aerial Objects Using Deep Lar-based systems have limitations, including high costs, complex installation procedures, and limited accuracy in detecting small and low-flying drones. To address these limitations, this paper presents a novel drone detection system-based on deep learning using a modified You Only Look Once (YOLO)
Aggregate
发表于 2025-3-29 20:23:32
http://reply.papertrans.cn/48/4701/470073/470073_48.png
SHOCK
发表于 2025-3-30 00:59:36
Credit Card Fraud Detection System Using Support Vector Classifier growing issue of credit card fraud in online purchases. The suggested system analyses and pre-processes transaction data using the Support Vector Classifier algorithm, which effectively identifies fraudulent activity. The paper’s main objective is to show how the Support Vector Classifier algorithm
comely
发表于 2025-3-30 07:53:45
http://reply.papertrans.cn/48/4701/470073/470073_50.png