Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Text-Based Measure of Supply Chain Risk Exposure
Using textual analysis techniques, including seeded word embedding and bag-of-words-based content analysis, I develop a firm-level measure of supply chain risk exposure from a novel source of unstructured data—the discussion between managers and e...
Competitive Advantage Through Artificial Intelligence: Toward a Theory of Situated AI
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
This article provides a comprehensive survey of bias mitigation methods for achieving fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning bias mitigation for ML classifiers. These methods can be distinguishe...
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their evaluation ...
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues
Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its remarkable ability in language understanding and human-like responses. ChatGPT, based on GPT-3.5 architecture, has shown great promise for revolutionizing va...
Navigating the Complexity of Generative AI Adoption in Software Engineering
This article explores the adoption of Generative Artificial Intelligence (AI) tools within the domain of software engineering, focusing on the influencing factors at the individual, technological, and social levels. We applied a convergent mixed-m...
Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse
Research background: Multi-modal synthetic data fusion and analysis, simulation and modelling technologies, and virtual environmental and location sensors shape the industrial metaverse. Visual digital twins, smart manufacturing and sensory data m...
Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights
This paper explores the transformative role of predictive analytics in enhancing strategic decision-making and business performance. It delves into the components of predictive analytics, including data mining, machine learning, and statistical te...
A unified European hydrogen infrastructure planning to support the rapid scale-up of hydrogen production
Abstract Hydrogen will become a key player in transitioning toward a net-zero energy system. However, a clear pathway toward a unified European hydrogen infrastructure to support the rapid scale-up of hydrogen production is still...
Splitwise: Efficient Generative LLM Inference Using Phase Splitting
Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models
Abstract Summary Recent proprietary large language models (LLMs), such as GPT-4, have achieved a milestone in tackling diverse challenges in the biomedical domain, ranging from multiple-choice qu...
Climate Change and Energy Security: A Comparative Analysis of the Role of Energy Policies in Advancing Environmental Sustainability
This review analyzes the complex relationship between climate change and energy security and their joint impact on global development. It emphasizes the need for sustainable energy solutions to tackle increasing global warming effects and energy d...
Current Status of Sustainable Food Packaging Regulations: Global Perspective
This review offers a global overview of the status of laws governing sustainable food packaging materials. The review highlights the regulatory framework for several sustainable packaging options, including paper-based packaging, compostable mater...
Artificial Intelligence (AI)-Driven IoT (AIIoT)-Based Agriculture Automation
The fusion of IoT and AI encompasses given rise to a new concept - artificial intelligence driven IoT (AIIoT). AIIoT is the intersection of AI and IoT, where AI algorithms are used to assess the data collected by IoT devices, improving their effec...
Management and Sales Forecasting of an E-commerce Information System Using Data Mining and Convolutional Neural Networks
The exponential development of e-commerce in recent decades has enhanced convenience for individuals. Compared to the conventional business environment, e-commerce is characterized by increased dynamism and complexity, resulting in several obstacl...
Quantitative phase imaging based on holography: trends and new perspectives
AbstractIn 1948, Dennis Gabor proposed the concept of holography, providing a pioneering solution to a quantitative description of the optical wavefront. After 75 years of development, holographic imaging has become a powerful tool for optical wav...
Obesity induces PD-1 on macrophages to suppress anti-tumour immunity
Systemic Light Chain Amyloidosis
Inflammatory Bowel Disease: A Comprehensive Analysis of Molecular Bases, Predictive Biomarkers, Diagnostic Methods, and Therapeutic Options
In inflammatory bowel diseases (IBDs), such as Crohn’s disease (CD) and ulcerative colitis (UC), the immune system relentlessly attacks intestinal cells, causing recurrent tissue damage over the lifetime of patients. The etiology of IBD is complex...
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has broad applications in urban development, agricultural surveys, and lan...
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Academic Publication