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2,752 papers
This review highlights the potential of DL and multi-omics integration in advancing precision oncology for brain cancer by enhancing diagnostic precision, prognostic accuracy, and personalized therapy development.
Soil salinization poses an increasingly severe threat to sustainable agriculture globally, while conventional seed priming optimization remains time- and resource-intensive, limiting its widespread adoption. This study developed an innovative smart seed priming framework that seamlessly combined multispectral imaging t...
This work introduced a vision-based waste classification system that relies on Deep Meta-Learner Stacking with Explainable AI (DMLSE) to merge the unique feature representations of a BasicCNN, VGG16, ResNet50V2, and MobileNetV2 across the synthetic, garbage, and waste classification datasets.
Impaired mobility is among the most common impairments caused by neurologic, neurodegenerative, and orthopaedic disorders. Depending upon the cause being stroke, Parkinson's disease, spinocerebellar ataxia, or osteoarthritis needing arthroplasty, the disruption in gait and mobility causes dependency, increased risk of...
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Smart Loyalty Programs, Consumer Retention, E-Commerce, AI Personalisation, Gamification, Emotional Loyalty, Customer Lifetime Value, Structural Equation Modeling, Switching Cost, Reward Redemption ABSTRACT The evolution of loyalty programs from simple point-accumulation schemes to intelligent, technology-driven retent...
The rapid expansion of the Internet of Medical Things (IoMT) has enhanced healthcare services, but it has also exposed these systems to a growing range of cyberattacks. Addressing this challenge requires effective intrusion detection solutions. Machine learning-based intrusion detection systems (IDSs) offer a promising...
The analysis suggests that governance frameworks succeed when privacy-preserving technologies are embedded into system architecture from the outset rather than added afterward, when compliance obligations are translated into measurable technical requirements, and when trust is treated as an emergent property of verifia...
Background The rapid integration of digital technologies and generative artificial intelligence (AI) into higher education has reshaped first-year students’ learning experiences and self-reported psychological adjustment. Using a cross-sectional self-report design, this study examined the statistical associations among...
Background/Objectives: Artificial intelligence (AI) is entering interventional pulmonology (IP) faster than its potential risks have been systematically catalogued. We explored whether general-purpose large language models (LLMs), now widely consulted informally by patients and clinicians, could provide a rapid and str...
Cardiovascular disease remains a major contributor to mortality and long-term morbidity worldwide. For this reason, risk prediction, early detection, and decision support have become central tasks in digital health research. Cardiovascular prediction has developed from statistical scores to machine learning and deep le...
It is argued that trustworthy public-safety UAV robotics requires verifying not only who controls a robot, but also whether its own reasoning, tool use, and evidence handling can be trusted.
The integration of DL, XAI, and generative AI provides a scalable approach for detecting and managing finger millet diseases and boosts precision agriculture by providing AI-based and XAI-supported decision-making, while fostering sustainable agricultural practices.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
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