Academic Articles & Research Papers

Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period

Abstract Objective At different times, public health faces various challenges and the degree of intervention measures varies. The research on the impact and prediction of meteorology factors on influenza is increasing gradually, however, th...

Governing with Artificial Intelligence

Artificial intelligence (AI) is one of the most transformative forces of the 21st century, becoming an integral part of digital government worldwide. Governments’ use of AI can facilitate automated and tailored internal processes and public...

Consumers and Artificial Intelligence: An Experiential Perspective

Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-ac...

Scammer Participants and AI-Assisted Interviews in Qualitative Health Research: An Example From a Study of Expectant Parents With a Rare Genetic Condition

Online interviewing has allowed cost-effective data collection and access to diverse, geographically dispersed populations. However, these benefits come with significant risks to research integrity, particularly in terms of attracting poten...

Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks

Abstract Deep learning-based intrusion detection systems (DL-IDS) have proven effective in detecting cyber threats. However, their vulnerability to adversarial attacks and environmental noise, particularly in industrial settings, limits pra...

Computer vision and AI-based cell phone usage detection in restricted zones of manufacturing industries

Phone calls are strictly forbidden in certain locations due to the potential security threats. Mobile phones’ growing capabilities have also increased the risk of their misuse in places that are restricted, like manufacturing plants. Unauth...

A Primer on Generative Artificial Intelligence

Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some ...

The ethics of artificial intelligence

This chapter surveys some of the ethical challenges that may arise as one can create artificial intelligences (AI) of various kinds and degrees. Some challenges of machine ethics are much like many other challenges involved in designing mac...

Generative artificial intelligence

Abstract Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Lever...

Leveraging Generative AI Tools for Enhanced Lesson Planning in Initial Teacher Education at Post Primary

The rapid development of generative AI (artificial intelligence) tools such as ChatGPT and Google Bard has opened new possibilities for enhancing lesson planning in initial teacher education (ITE). These tools have the capability to generat...

A Review of Fundamental Optimization Approaches and the Role of AI Enabling Technologies in Physical Layer Security

With the proliferation of 5G mobile networks within next-generation wireless communication, the design and optimization of 5G networks are progressing in the direction of improving the physical layer security (PLS) paradigm. This phenomenon...

Artificial intelligence assisted 3D in the robotic urooncology? A systematic review and narrative synthesis of current applications, challenges and future directions

Background: Artificial intelligence (AI)-assisted three-dimensional (3D) surgical platforms, integrated with augmented reality, have the potential to improve intraoperative anatomical recognition and provide surgeons with an immersive, dyna...

Identification of Aspergillus at section and species levels by artificial intelligence-based microscopic morphology image recognition

ABSTRACT Rapid and accurate identification of Aspergillus species in clinical microbiology laboratories is crucial for aspergillosis diagnosis and antifungal therapy. However, traditional methods still face challenges in distinguishing phyl...

Formula for the Digital Wellbeing of the Personality

Background. In the context of the digitalisation of everyday life, digital wellbeing is a concept that has recently emerged. It signifies the need to reflect on the impact of digital transformations on various spheres of human life, and is ...

Managing artificial intelligence

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

Electromagnetic Field Distribution Mapping: A Taxonomy and Comprehensive Review of Computational and Machine Learning Methods

Electromagnetic field (EMF) exposure mapping is increasingly important for ensuring compliance with safety regulations, supporting the deployment of next-generation wireless networks, and addressing public health concerns. While numerous su...

AI-enhanced professional learning communities: a new era of personalized teacher education

Language teacher education programs can become more reflective, inclusive, collaborative, situated, and inquiry-based. One such professional approach to incorporate these characters can be through personalized language teacher education (PL...

A comprehensive review of explainable AI for disease diagnosis

Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited due to the transparency issue, which is considered ...

Opportunities and Challenges in FLASH Radiotherapy: Focusing on Normal Tissue Protection Effects and Clinical Translation Bottleneck.

Egocentric Hand Activity Video Dataset and Bidirectional Motion-Priors for Hand Action Recognition

Recognizing tool-based hand activities from a first-person view is a critical yet challenging task in computer vision, due to the complexity of hand-object interactions and often subtle, ambiguous motion patterns. In real-world manufacturin...