An innovative approach for examining the complex interaction between diabetes and heart disease is presented in 'A Unified Approach to Diabetes and Heart Disease Analysis: An Ensemble of XAI-Enhanced Models'. ...
详细信息
This technical abstract offers an outline of the ability of artificial Intelligence (AI) and device studying (ML) answers for managing leverage threats in banking. Leverage is a key element in banking danger managemen...
详细信息
The foundation of contemporary data security, guaranteeing integrity and confidentiality in digital communications, is referred to as cryptography. On the other side, image steganography strengthens data security by p...
详细信息
Cloud computing is swiftly developing, delivering a diverse spectrum of computing utilities like databases, storage, and servers. It transfigures the way data storage is done and securely circulated among numerous use...
详细信息
Adopting Digital Twin (DT) technology in vehicular edge computing (VEC) enables efficient capture of real-time state information of applications, thereby addressing complex task scheduling problems. Existing literatur...
详细信息
ISBN:
(纸本)9798350369458;9798350369441
Adopting Digital Twin (DT) technology in vehicular edge computing (VEC) enables efficient capture of real-time state information of applications, thereby addressing complex task scheduling problems. Existing literature studies considered only minimizing service latency for task offloading;however, there is room for exploring strategies to enhance user Quality of Experience (QoE) in timeliness and reliability domains. In this paper, we have developed an optimization framework using Mixed Integer Linear Programming (MILP), namely QuETOD, which minimizes service latency by allocating task execution responsibility to highly reliable and reputed vehicles in a DT-enabled VEC environment. The developed QuETOD framework clusters the vehicles based on the demand-supply theory of economics by considering computing resources and utilizing the multi-weighted subjective logic for getting the proper reputation update of the vehicles. The experimental results of the developed QuETOD system depict significant performance improvement in terms of QoE and reliability compared to the state-of-the-art works as high as 15% and 25%, respectively.
RISC-V, as a new generation open-source Reduced Instruction Set computing (RISC) architecture, has the advantages of low power consumption, small footprint, and high performance. Especially, RISC-V processors realized...
详细信息
Thyroid disorder diagnosis and prognosis is an important concern in contemporary medicine. Thyroid hormones are essential for a healthy metabolic rate and are released by the thyroid gland. Either an excess of or a sh...
详细信息
The study, 'Empowering Young Adults,' investigates the role of soft skills in ensuring students' confidence to excel in personal and professional life using advanced machine learning models. Initially, a t...
详细信息
Memetics, as a social media phenomenon, are a self-evident part of the rise and rise of social media through electrifying technologies. They are intricate to classify using traditional forms of technologies because th...
详细信息
ISBN:
(纸本)9798331542573
Memetics, as a social media phenomenon, are a self-evident part of the rise and rise of social media through electrifying technologies. They are intricate to classify using traditional forms of technologies because they are mainly based on both visual and textual information and more often than not they are also funny or sarcastic. The work puts forward a deep learning-based solution for meme categorization that can be classified into multiple categories. The include girl, tame, politics, hard. It emphasizes the want for an automated system that can vet memes before they become the cause of controversy or become humorous. This investigation offers the three-step procedure to locate racism and abusive memes. Before the text is labeled as racist or not, it will be extracted from the supplied image first. Once the language has been pinpointed as unacceptable, the third step is to distribute the information to the specific groups: racist and abusive are: unoffensive, nonrelevant. We present a deep learning-based method for classifying memes that can be categorized into different themes. After the graphical theft of personal information for the marketing of products through social media meme posting, society had to confront the issue of these instance being posted on the social media platform. Racist and abusive memes can cause emotional harm to people and even divide communities since they are mainly genocidal or ridiculing. The constraint of the language complexity and the variety of artistic references used in memes leave some of them generally feting and removing racist and vituperative memes. We introduce a deep literacy- attained asseveration to classify wicked memes using CNNs, Roberta, as well as BERT. When we had the inflamed dataset of and thenon-racist and vituperative memes, we machined the models. Our experimental study was carried out through the adoption of several metrics like learning accuracy, precision, recall, and F1-score. Racist and abusive memes ar
Deep learning is a standard approach in remote sensing for building information extraction, but it faces challenges like sparse data, large obstacles, and complex light-shadow interactions. To address these, we propos...
详细信息
暂无评论