Abstract: Cancer-related mortality in men is highest among men who suffer from prostate cancer. The lack of clarity and consistency of early symptoms often makes diagnosis a challenge in the later ...
The study abstract outlines the utilization of advanced machine learning to identify and categorize casting defects such as Blowholes, Pinholes, and Swell with high precision, recall, and F1-scores.
Abstract: This paper aims to explore a new visual and text information fusion algorithm, which can effectively improve the accuracy and efficiency of sentiment analysis by combining the advantages of ...
Abstract: Our objective is to develop an advanced computational approach to classify patterns of Interstitial Lung Disease(ILD) using a Hybrid model of Convolutional Neural Network(CNN) and Genetic ...
Abstract: Pothole is a large fissure while the vehicles are on the roadways. The potholes usually lead to underneath caverns and pits in the road to make it difficult to ride. If the vehicles are ...
Abstract: Brain-Controlled technology enables direct interaction between the brain and peripheral devices by decoding electroencephalographic (EEG) signals from subjects. Among these, brain-controlled ...
CNN is giving that whole streaming service thing another go, and we’re finally getting some details about how it will work. Like pretty much every other major streamer at this point, CNN’s service ...
A new team, based in Qatar, will focus on "news-adjacent topics" for a what sounds like a competition-themed weekly show and multiplatform content on "AI, tech, art, culture, sport, and social trends.
Abstract: This paper proposes a new method to enhance the configuration of convolutional neural network for IoT attack detection based on genetic algorithm and multi-objective approaches. According to ...
The Pentagon is telling beat reporters to sign restrictive new rules by Tuesday or surrender their press passes by Wednesday. Virtually every news outlet is rejecting the ultimatum and saying they ...
Abstract: The objective of this paper is to understand the technological advancement in the medical image segmentation and classification of Magnetic Resonance (MR) Images using Deep Learning (DL) ...
Abstract: The number of threats has grown as a result of the Internet of Things’ (IoT) rapid expansion, making effective malware identification and classification techniques necessary. The goal of ...
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