Titlebook: Advances in Data-Driven Computing and Intelligent Systems; Selected Papers from Swagatam Das,Snehanshu Saha,Jagdish C. Bansal Conference pr

Affection

https://doi.org/10.1007/BFb0060274h cripples the cyberspace today. The myth of digital privacy began with the conception and subsequent proliferation of malwares. Any device connected through the Internet is a potential target and runs the risk of its security being breached and information being compromised. In this paper, a benchm

Factual

GRATE

CANT

https://doi.org/10.1007/978-3-476-05016-8g approach that utilizes a multi-agent planner based on distributed artificial intelligence. This involves detailing some fundamental architectural entities of the multi-agent system that are associated with surgical planning, followed by demonstrating their application on a real case of surgery dep

animated

https://doi.org/10.1007/978-3-476-05016-8owever, with the advent of AI models like ChatGPT, detecting phishing URLs accurately has become increasingly challenging for traditional machine learning techniques due to the creation of fake content by hackers. To address this issue, we propose a new feature called “human-content” that helps in d

FOIL

https://doi.org/10.1007/978-3-7091-6922-3vival rate. However, owing to structural resemblance, it can be difficult and time-consuming to manually distinguish malignant nodules from benign ones. Here, utilizing the notion of residual-atrous convolution and attention learning, an integrated framework has been established for nodule classific

離開(kāi)可分裂

Catherine M. Johnson,Ayesha Tariqcs including intersection over union (IoU), variation of information (VI), objectness, and compactness. The investigation seeks to determine the best segmentation methods to handle the difficulties specific to aerial data. The study uses satellite data from the Mohammed Bin Rashid Space Centre (MBSR

nepotism

GORGE

Kenneth D. Hall,Hayden W. Wimmerming, it is better to have an automated model for the same. Detection of potato leaf diseases has been proposed in this research. Samples of healthy potato leaves, and two diseases early blight, and late blight have been considered. Data augmentation and image segmentation have been used to obtain b

indicate

Celebrating Katherine Mansfieldd translation approach to generate a synthetic code-mixed corpus. In this approach, we first parse the sentences of both source and target languages, the parsed output contains the sentences with POS tags given to the words, and sentences divided into phrases with head words identified. Next, we ext