Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment
This systematic literature review explores the intersection of AI-driven digital twins and IoT in creating a sustainable building environment. A comprehensive analysis of 125 papers focuses on four major themes. First, digital twins are examined i...
Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration
Federated learning (FL) is revolutionizing healthcare by enabling collaborative machine learning across institutions while preserving patient privacy and meeting regulatory standards. This review delves into FL’s applications within smart health s...
gratia: An R package for exploring generalized additive models
Enhancement of satellite images based on CLAHE and augmented elk herd optimizer
Unpacking student engagement in higher education learning analytics: a systematic review
AbstractEducational outcomes are heavily reliant on student engagement, yet this concept is complex and subject to diverse interpretations. The intricacy of the issue arises from the broad spectrum of interpretations, each contributing to the unde...
DPA-2: a large atomic model as a multi-task learner
Automated real-world data integration improves cancer outcome prediction
Tuning of the Polymeric Nanofibril Geometry via Side-Chain Interaction toward 20.1% Efficiency of Organic Solar Cells
How human–AI feedback loops alter human perceptual, emotional and social judgements
Abstract Artificial intelligence (AI) technologies are rapidly advancing, enhancing human capabilities across various fields spanning from finance to medicine. Despite their numerous advantages, AI systems can exhibit biased judgements i...
The Role of Artificial Intelligence and Big Data Analytics in Shaping the Future of Professions in Industry 6.0: Perspectives from an Emerging Market
Digital technologies are fundamentally transforming professions by altering roles and redefining competencies across all sectors. The progression from computerization to digitization, digitalization, and now digital transformation has been driven ...
Nanotechnology for Healthcare: Plant-Derived Nanoparticles in Disease Treatment and Regenerative Medicine
Nanotechnology has revolutionised biomedical research, offering innovative healthcare solutions. Plant-based nanotechnology is emerging as a sustainable alternative, minimising environmental impacts and enhancing therapeutic effectiveness. This pa...
YOLOv1 to YOLOv10: The Fastest and Most Accurate Real-time Object Detection Systems
This is a comprehensive review of the YOLO series of systems. Different from previous literature surveys, this review article reexamines the characteristics of the YOLO series from the latest technical point of view. At the same time, we also anal...
Going beyond the untold facts in PLS–SEM and moving forward
Purpose This paper aims to discuss recent criticism related to partial least squares structural equation modeling (PLS-SEM). Design/methodology/approach Using a combination of literature reviews, empirical examples, and simulation evidence, this...
The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection
This paper provides a comprehensive review of the YOLO (You Only Look Once) framework up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has revolutionized the field by achieving an optimal balance between sp...
Quantitative Analysis of the Coupled Mechanisms of Lithium Plating, SEI Growth, and Electrolyte Decomposition in Fast Charging Battery
Inverse design workflow discovers hole-transport materials tailored for perovskite solar cells
The inverse design of tailored organic molecules for specific optoelectronic devices of high complexity holds an enormous potential but has not yet been realized. Current models rely on large data sets that generally do not exist for specialized r...
Predictive Models for Educational Purposes: A Systematic Review
This systematic literature review evaluates predictive models in education, focusing on their role in forecasting student performance, identifying at-risk students, and personalising learning experiences. The review compares the effectiveness of m...
Utilizing the Internet of Everything and Artificial Intelligence for Real-Time Workforce Management
The real-time pool operation through the combination of the Internet of Everything (IoE) and Artificial Intelligence (AI). The purpose of this study is to evaluate how the Internet of Everything (IoE) technologies, which connect people, processes,...
Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3
Participant selection procedures in qualitative research: experiences and some points for consideration
Qualitative research is widely embraced in the social sciences and education. Among the different traditional, modern, and community-oriented qualitative methodologies, we have drawn on our experiences to adopt seven qualitative methodologies: aut...
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