Generative AI in Web Application Development DOI
Rachna Rana, Pankaj Bhambri

Advances in web technologies and engineering book series, Год журнала: 2024, Номер unknown, С. 471 - 486

Опубликована: Сен. 27, 2024

We lack knowledge of how User Experience and Performance practitioners, practitioner's teams, businesses use Gen-AI the issues they confront. interviewed 24 practitioners from various firms countries, all with different positions levels seniority. Our findings show that: 1 there is a major corporate policy, organizations informally advocating caution or delegating responsibility to individual workers; 2 require group-wide exercises. characteristically independently, esteeming inscription-based responsibilities, but letter boundaries for plan -attentive behavior such as wire framing prototyping; 3) advocate improved educating improve their ability make effectual stimulate assess production brilliance.

Язык: Английский

Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review DOI Creative Commons
C. Jeong, Y. M. Goh, Jungwon Kwak

и другие.

The Ewha Medical Journal, Год журнала: 2024, Номер 47(4)

Опубликована: Сен. 12, 2024

Artificial intelligence (AI) is rapidly transforming various medical fields, including radiation oncology. This review explores the integration of AI into oncology, highlighting both challenges and opportunities. can improve precision, efficiency, outcomes therapy by optimizing treatment planning, enhancing image analysis, facilitating adaptive therapy, enabling predictive analytics. Through analysis large datasets to identify optimal parameters, automate complex tasks, reduce planning time, accuracy. In AI-driven techniques enhance tumor detection segmentation processing data from CT, MRI, PET scans enable precise delineation. beneficial because it allows real-time adjustments plans based on changes in patient anatomy size, thereby improving accuracy effectiveness. Predictive analytics using historical predict potential complications, guiding clinical decision-making more personalized strategies. Challenges adoption oncology include ensuring quality quantity, achieving interoperability standardization, addressing regulatory ethical considerations, overcoming resistance implementation. Collaboration among researchers, clinicians, scientists, industry stakeholders crucial these obstacles. By challenges, drive advancements care operational efficiencies. presents an overview current state insights future directions for research practice.

Язык: Английский

Процитировано

2
Fault Detection in IoT Sensor Networks with XAI-LCS: Explainable AI-driven Diagnosis for Low-Cost Sensor DOI Creative Commons
Dattatray G. Takale

Deleted Journal, Год журнала: 2024, Номер 20(4s), С. 46 - 54

Опубликована: Апрель 8, 2024

In Internet of Things networks (IoT), accurate monitoring data delivery without interruptions is vital, especially for high-risk use cases, such as in the industrial field. Existing approaches to AI-based fault diagnosis have various disadvantages being computationally expensive or lacking transparency and difficult trust. To overcome these limitations this research introduces a novel method IoT devices namely XAI-LCS. This technique uses eXtreme Gradient Boosting (XGBoost) algorithm early sensor detection. XAI-LCS oriented towards detecting different types faults including bias, drift, complete failure, precision degradation, well accounting imbalances avoiding biased detections. The proposed solution achieves 98 % validation accuracy diagnosing four types. XAI component which provides explanations model processes, enhances trust developed solution. As result, study contributes improving application failures IoT.

Язык: Английский

Процитировано

0
Generative AI-Driven Security Frameworks for Web Engineering DOI
Rachna Rana, Pankaj Bhambri

Advances in web technologies and engineering book series, Год журнала: 2024, Номер unknown, С. 285 - 296

Опубликована: Сен. 27, 2024

The advent of Generative AI has triggered a paradigm shift across several domains, resulting in ground-breaking advances text, picture, video, audio, and code production. However, this technical advancement also increased cyber security intimidations, as hackers increasingly use their harmful actions. artificial intelligence (Gen-AI) Huge words models (HWMs) are transforming businesses throughout the world. enormous promise carries major hazards. It is critical to address concerns related with Gen-AI. This aids organizations comprehending implications these technologies. chapter will provide complete Gen-AI architecture show how it may help us protect apps, models, whole ecosystem. research attempts define many vulnerabilities posed by AI, identifying manifestations different application areas.

Язык: Английский

Процитировано

0
Generative AI in Web Application Development DOI
Rachna Rana, Pankaj Bhambri

Advances in web technologies and engineering book series, Год журнала: 2024, Номер unknown, С. 471 - 486

Опубликована: Сен. 27, 2024

We lack knowledge of how User Experience and Performance practitioners, practitioner's teams, businesses use Gen-AI the issues they confront. interviewed 24 practitioners from various firms countries, all with different positions levels seniority. Our findings show that: 1 there is a major corporate policy, organizations informally advocating caution or delegating responsibility to individual workers; 2 require group-wide exercises. characteristically independently, esteeming inscription-based responsibilities, but letter boundaries for plan -attentive behavior such as wire framing prototyping; 3) advocate improved educating improve their ability make effectual stimulate assess production brilliance.

Язык: Английский

Процитировано

0