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1,828 papers
This academic curriculum module delivers an analytical, biophysical, and computational exposition of biomaterials science, tissue engineering scaffolds, biocompatibility evaluation, degradation kinetics, and medical device materials engineering. Key Technical Topics & Curricular Areas Covered:1. Core Material Classes &...
Abstract: Climate-resilient smart cities require sensing infrastructures that can detect weak, rapidly evolving environmental signals, infer actionable risk locally, and remain trustworthy under both cyber disruption and emerging quantum threats. This paper develops a model-based architecture for Quantum-Secure Photoni...
.. استدلال ۲۱ از ۱۰۰: مغالطهی چرخههای پژواک شناختی و فروپاشی الگوریتمهای فیلترینگ مشارکتی در شبکههای اجتماعی ($\text{The Cognitive Echo Chamber Fallacy and Collaborative Filtering Collapse in Social Networks}$) ۱. مقدمه و طرح صورت تفصیلی فوقتخصصی معما ($\text{Echo Chamber Paradox Setup}$) در تمامی چارچوبهای سنتی...
Parkinson’s disease (PD) research has been reshaped by large-scale multi-modal longitudinal datasets and advances in artificial intelligence (AI) and machine learning (ML). This review synthesises the current state of longitudinal modelling, feature selection, and missing-data imputation for PD, drawing on 154 studies...
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The Internet of Medical Things (IoMT) enables continuous health monitoring through distributed wearable and implantable devices but faces critical challenges in privacy, latency, trust, and reliability, particularly when aggregating sensitive physiological data across untrusted networks. In this paper, we propose Graph...
The growth of Edge AI and Tiny Machine Learning (TinyML) brings up a big problem between hardwareprice and processing power. Single Board Computers (SBCs) like the Raspberry Pi have enough computingpower for many tasks. However, their high price of ₱1,960 to ₱5,600+ and power draw of 2.5W to 15W makethem too expensive...
Efficient electrochemical processes are essential for a sustainable, low-carbon energy economy, involving hydrogen production, oxygen evolution/reduction, and carbon dioxide valorisation, all of which require high-performing electrocatalysts. Traditional catalyst development methods, which involve sequential trial-and-...
Résumé FRCe document, produit avec l’assistance de Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive volontaire (antériorité) et entre de ce fait dans l’état de la technique au sens des législations applicables : art. 54(2) CBE (Convention sur le brevet européen), art. L...
Code, Colab notebooks, configurations, trained checkpoints and derived results for the article "AI-Enabled Land-Use–Transport Decision Support for Bike-Sharing Expansion: Spatial Transfer, Station-Mediated Accessibility, and Policy Frontiers" (under review in Transportation Research Part A: Policy and Practice, special...
Predicting UV–vis spectra from molecular structure is an important but relatively underexplored task. In this study, we developed a deep learning approach based on graph neural networks (GNNs) to directly predict UV–vis spectra from SMILES representations. Several GNN architectures were evaluated, among which Attentive...
.. استدلال ۲۱ از ۱۰۰: مغالطهی چرخههای پژواک شناختی و فروپاشی الگوریتمهای فیلترینگ مشارکتی در شبکههای اجتماعی ($\text{The Cognitive Echo Chamber Fallacy and Collaborative Filtering Collapse in Social Networks}$) ۱. مقدمه و طرح صورت تفصیلی فوقتخصصی معما ($\text{Echo Chamber Paradox Setup}$) در تمامی چارچوبهای سنتی...
The growth of Edge AI and Tiny Machine Learning (TinyML) brings up a big problem between hardwareprice and processing power. Single Board Computers (SBCs) like the Raspberry Pi have enough computingpower for many tasks. However, their high price of ₱1,960 to ₱5,600+ and power draw of 2.5W to 15W makethem too expensive...
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
Climate & Sustainability
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