This review critically appraises the literature on the convergence of Internet of Things (IoT) sensing, edge computing and time-series machine learning for precision irrigation, checking predictive soil-moisture forecasting, edge-deployed neural controllers and LoRaWAN telemetry directly against independently published...
Naziru Halilu· Zenodo (CERN European Organi...· 0 citations
This note places on record, before any comparison with data, the magnetic specific heat implied by the icosahedral cluster magnon spectrum, so that a later comparison with the published low-temperature specific heat of the ferromagnetic quasicrystal i-Au65Ga20Gd15 (TC=23 K) and the antiferromagnetic i-Au56In28.5Eu15.5...
Arber Gishto· Zenodo (CERN European Organi...· 2 citations
Eight concrete research directions follow, from testbed validation and federated DRL to 5G channel modeling and grounding reward weights in real security-cost data.
Fuad S. Abu Owaimer, Wesam M. R. Ashour· Israa University Journal for...· 0 citations
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This survey provides an overview of Edge-Fog-Cloud-IoT architectural models and the technologies that have driven them during 2020–2026 and presents a holistic framework and a five-layer reference model that encompass the functional, performance, and trust aspects of distributed systems.
Patrick Effraim, Micheal Mensah, Bismark Budu· Journal of King Saud Univers...· 0 citations
Automated classification of acute psychological stress from non-invasive wearable electrocardiography (ECG) is a fundamental problem in physiological computing, affective state recognition, and wearable Internet of Medical Things (IoMT). A central barrier to cross-subject generalization is inter-individual baseline het...
Mukesh Yadav· Zenodo (CERN European Organi...· 0 citations
Unlocking WebAssembly: Boost Web App Performance & Security Today's web applications are becoming more like full-featured software platforms. They can process media, perform complex calculations, visualize large datasets, and deliver interactive experiences without requiring traditional desktop installation. With this...
Tina Campbell· Zenodo (CERN European Organi...· 0 citations
Rapid and rigorous classification of magnesium alloys is essential for industrial manufacturing and recycling, yet it remains challenging due to the subtle spectral variations and severe matrix effects inherent in complex metallurgical environments. This study proposes a novel analytical paradigm synergizing femtosecon...
Kaiqiang Que, Xi Wu, Xiaoyong He· Engineering Applications of...· 0 citations
Multi-focus Image Fusion (MFIF) technique aims to produce a full focused image that preserves the details from source images and enhance image fusion performance. A significant problem in MFIF is accurately segmenting the focused region particularly in complicated images with challenging boundaries. This limitation cau...
Ravpreet Kaur, Sarbjeet Singh· Journal of Modern Optics· 0 citations
Conventional river water quality monitoring is often constrained by high operational costs and maintenance-intensive sensors. To address these limitations, this study proposes a low-cost framework for estimating dissolved oxygen (DO) concentrations without direct DO probes by deploying an Arduino-based multi-sensor arr...
Merve Sürmen, Mehmet Kazım Yetik· Archives of Environmental Pr...· 0 citations
This paper considers task priority and integrates intelligent reflecting surface (IRS) into traditional UAV-MEC to enhance offloading efficiency and indicates that the system utility of the proposed method is dramatically higher than other benchmark schemes under different scenes.
Liang Zhao, Si-Nong Zhang, Huan Zhou et al.· ACM Transactions on Internet...· 0 citations
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026